Journal Papers

Selected Journal Papers (Totally over 200 journal papers published, including 101 IEEE Transactions/magazine papers):

• T. Lin and C. S. G. Lee, “Fault-Tolerant Reconfigurable Architecture for Robot Kinematics and Dynamics Computations,” IEEE Transactions on Systems, Man, and Cybernetics, Vol. SMC-21, No. 5, pp. 983-999, Sep./Oct. 1991.
• T. Lin and C. S. G. Lee, “Neural-Network-Based Fuzzy Logic Control and Decision System,” IEEE Transactions on Computers, Vol. 40, No. 12, pp. 1320-1336, Dec. 1991.
• T. Lin and C. S. G. Lee, “Reinforcement Structure/Parameter Learning for Neural-Network-Based Fuzzy Logic Control Systems,” IEEE Transactions on Fuzzy Systems, Vol. 2, No. 1, pp. 46-63, Feb. 1994.
• H. Hsiao, C. T. Lin, and M. Cassidy, “Application of Fuzzy Logic and Neural Networks to Automatically Detect Freeway Traffic Incidents,” Journal of Transportation Engineering, American Society of Civil Engineers (ASCE), Vol. 120, No. 5, pp. 753-772, Sep./Oct. 1994.
• T. Lin, “A Neural Fuzzy Control System with Structure and Parameter Learning,” Fuzzy Sets and Systems, Vol. 70, pp. 183-212, March 1995.
• T. Lin, C. J. Lin, and C. S. G. Lee, “Fuzzy Adaptive Learning Control Network with On-line Neural Learning,” Fuzzy Sets and Systems, Vol. 71, pp. 25-45, April 1995.
• T. Lin and C. S. G. Lee, “A Multi-valued Boltzmann Machine,” IEEE Transactions on Systems, Man, and Cybernetics, Vol. 25, No. 4, pp. 660-669, April 1995.
• T. Lin and Y. C. Lu, “A Neural Fuzzy System with Linguistic Teaching Signals,” IEEE Transactions on Fuzzy Systems, Vol. 3, No. 2, pp. 169-189, May 1995.
• J. Lin and C. T. Lin, “Adaptive Fuzzy Control of Unstable Nonlinear Systems, ” International Journal of Neural Systems, Vol. 6, No. 3, pp. 283-298, 1995.
• J. Lin and C. T. Lin, “Reinforcement Learning for an ART-based Fuzzy Adaptive Learning Control Network,” IEEE Transactions on Neural Networks, Vol. 7, No. 3, pp. 709-731, May 1996.
• T. Lin and Y. C. Lu, “A Neural Fuzzy System with Fuzzy Supervised Learning,” IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, Vol. 26, No. 5, pp. 744-763, Oct. 1996.
• T. Lin and C. F. Juang, “An Adaptive Neural Fuzzy Filter and Its Applications,” IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, Vol. 27, No. 4, pp. 635-656, Aug. 1997.
• J. Lin and C. T. Lin, “An ART-based Fuzzy Adaptive Learning Control Network,” IEEE Transactions on Fuzzy Systems, Vol. 5, No. 4, pp. 477-496, Nov. 1997.
• F. Juang and C. T. Lin, “An On-line Self-constructing Neural Fuzzy Inference Network and Its Applications,” IEEE Transactions on Fuzzy Systems, Vol. 6, No. 1, pp. 12-32, Feb. 1998.
• T. Lin and M. C. Kan, “Adaptive Fuzzy Command Acquisition with Reinforcement Learning,” IEEE Transactions on Fuzzy Systems, Vol. 6, No. 1, pp. 102-121, Feb. 1998.
• J. Wang and C. T. Lin, “Runge Kutta Neural Network for Identification of Dynamical Systems in High Accuracy,” IEEE Transactions on Neural Networks, Vol. 9, No. 2, pp. 294-307, March 1998.
• H. Chen, J. H. Lai, and C. T. Lin, “Application of Fuzzy Control to a Road Tunnel Ventilation System,” Fuzzy Sets and Systems, Vol. 100, pp. 9-28, Nov. 1998.
• J. Wang and C. T. Lin, “A Second-order Learning Algorithm for Multilayer Networks Based on Block Hessian Matrix,” Neural Networks, Vol. 11, pp. 1607-1622, Dec. 1998.
• F. Juang, C. T. Lin, and J. C. Huang, “Temperature Control of Rapid Thermal Process Using Neural Fuzzy Network,” Fuzzy Sets and Systems, Vol. 103, pp. 49-65, April 1999.
• H. Lai and C. T. Lin, “Application of Neural Fuzzy Network to Pyrometer Correction and Temperature Control in Rapid Thermal Processing,” IEEE Transactions on Fuzzy Systems, Vol. 7, No. 2, pp. 160-175, April 1999.
• T. Lin and C. P. Jou, “Controlling Chaos by GA-based Reinforcement Learning Neural Network,” IEEE Transactions on Neural Networks, Vol. 10, No. 4, pp. 846-859, July 1999.
• F. Juang and C. T. Lin, “A Recurrent Self-Organizing Neural Fuzzy Inference Network,” IEEE Transactions on Neural Networks, Vol. 10, No. 4, pp. 828-845, July 1999.
• T. Lin, C. F. Juang, and C. P. Li, “Temperature Control with a Neural Fuzzy Inference Network,” IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Reviews, Vol. 29, No. 3, pp. 440-451, Aug. 1999.
• T. Lin, H. W. Nein, and W. C. Lin, “A Space-time Delay Neural Network for Motion Recognition and Its Application to Lipreading,” International Journal of Neural Systems, Vol. 9, No. 4, pp. 311-334, Aug. 1999.
• T. Lin and I. F. Chung, “A Reinforcement Neuro-fuzzy Combiner for Multiobjective Control,” IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, Vol. 29, No. 6, pp. 726-744, Dec.1999.
• T. Lin, S. C. Hsiao, and G. D. Wu, “New Techniques on Deformed Image Motion Estimation and Compensation,” IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, Vol. 29, No. 6, pp. 846-859, Dec. 1999.
• F. Liang, W. Y. Su, and C. T. Lin, “Model-based Synthesis of Plucked String Instruments by Using a Class of Scattering Recurrent Networks,” IEEE Transactions on Neural Networks, Vol. 11, No. 1, pp. 171-185, Jan. 2000.
• S. Bai, I L. Hsiao, H. M. Tsai, and C. T. Lin, “Development of an On-line Diagnosis System for Rotor Vibration via Model-based Intelligent Inference,” Journal of Acoustical Society of America, Vol. 107, No. 1, pp. 315-323, Jan. 2000.
• T. Lin, Y. C. Lee, and H. C. Pu, “Satellite Sensor Image Classification Using Cascaded Architecture of Neural Fuzzy Network,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 38, No. 2, pp. 1033-1043, March 2000.
• T. Lin and C. P. Jou, “GA-based Fuzzy Reinforcement Learning for Control of a Magnetic Bearing System,” IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, Vol. 30, No. 2, pp. 276-289, April 2000.
• J. Wu and C. T. Lin, “Optimal Fuzzy Controller Design: Local Concept Approach,” IEEE Transactions on Fuzzy Systems, Vol. 8, No. 2, pp. 171-185, April 2000.
• F. Juang, J. Y. Lin, and C. T. Lin, “Genetic Reinforcement Learning Through Symbiotic Evolution for Fuzzy Controller Design,” IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, Vol. 30, No. 2, pp. 290-302, April 2000.
• T. Lin, C. F. Juang, and C. P. Li, “Water Bath Temperature Control with a Neural Fuzzy Inference Network,” Fuzzy Sets and Systems, Vol. 111, No. 2, pp. 285-306, April 2000.
• F. Chung, C. J. Lin, and C. T. Lin, “A GA-based Fuzzy Adaptive Learning Control Network,” Fuzzy Sets and Systems, Vol. 112, No. 1, pp. 65-84, May 2000.
• S. Shieh and C. T. Lin, “Direction of Arrival Estimation Based on Phase Difference Using Neural Fuzzy Network,” IEEE Transactions on Antennas and Propagation, Vol. 48, No. 7, pp. 1115-1124, July 2000.
• T. Lin, I. F. Chung, and L. K. Sheu, “A Neural Fuzzy System for Image Motion Estimation,” Fuzzy Sets and Systems, Vol. 114, No. 2, pp. 281-304, Sep. 2000.
• D. Wu and C. T. Lin, “Word Boundary Detection with Mel-scale Frequency Bank in Noisy Environment,” IEEE Transactions on Speech and Audio Processing, Vol. 8, No. 5, pp. 541-554, Sep. 2000.
• J. Wang and C. T. Lin, “Recurrent Learning Algorithms for Designing Optimal Controllers of Continuous Systems,” IEEE Transactions on Systems Man and Cybernetics Part A-Systems And Humans, Vol. 30, No. 5, pp. 580-588, Sep. 2000.
• T. Lin, H. W. Nein, and J. Y. Hwu, “GA-based Noisy Speech Recognition Using Two-Dimensional Cepstrum,” IEEE Transactions on Speech and Audio Processing, Vol. 8, No. 6, pp. 664-675, Nov. 2000.
• J. Wu and C. T. Lin, “Optimal Fuzzy Controller Design in Continuous Fuzzy System: Global Concept Approach,” IEEE Transactions on Fuzzy Systems, Vol. 8, No. 6, pp. 713-729, Dec. 2000.
• F. Juang and C. T. Lin, “Noisy Speech Processing by Recurrently Adaptive Fuzzy Filters,” IEEE Transactions on Fuzzy Systems, Vol. 9, No. 1, pp. 139-152, Feb. 2001.
• W. Nein and C. T. Lin, “Incorporating Error Shaping Techniques into LSF Vector Quantization,” IEEE Transactions on Speech and Audio Processing, Vol. 9, No. 2, pp. 73-86, Feb. 2001.
• D. Wu and C. T. Lin, “A Recurrent Neural Fuzzy Network for Word Boundary Detection in Variable Noise-level Environments,” IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, Vol. 31, No. 1, pp. 84-97, Feb. 2001.
• H. Wang, H. L. Liu, and C. T. Lin, “Dynamic Optimal Learning Rates of a Certain Class of Fuzzy Neural Networks and its Applications with Genetic Algorithm,” IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, Vol. 31, No. 3, pp. 467-475, June 2001.
• T. Lin, I F. Chung, and S. Y. Huang, “Improvement of Machining Accuracy at Corner Parts for Wire-EDM,” Fuzzy Sets and Systems, Vol. 122, No. 3, pp. 499-511, Sep. 2001.
• J. Liu and C. T. Lin, “Fundamental Frequency Estimation Based on the Joint Time-frequency Analysis of Harmonic Spectral Structure,” IEEE Transactions on Speech and Audio Processing, Vol. 9, No. 6, pp. 609-621, Sep. 2001.
• H. Liu and C. T. Lin, “A Model-based Fuzzy Logic Controller with Kalman Filtering for Tracking Mean Arterial Pressure,” IEEE Transactions on Systems Man and Cybernetics Part A-Systems And Humans, Vol. 31, No. 6, pp. 676-686, Nov. 2001.
• J. Wu and C. T. Lin, “Discrete-time Optimal Fuzzy Controller Design: Global Concept Approach,” IEEE Transactions on Fuzzy Systems, Vol. 10, No. 1, pp. 21-38, Feb. 2002.
• T. Lin, J. Y. Lin, and G. D. Wu, “A Robust Word Boundary Detection Algorithm for Variable Noise-level Environment in Cars,” IEEE Transactions on Intelligent Transportation Systems, Vol. 3, No. 1, pp. 89-101, March 2002.
• J. Wang, C. T. Lin, S. H. Liu, and Z. C. Wen, “Model-based Synthetic Fuzzy Logic Controller for Indirect Blood Pressure Measurement,” IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, Vol. 32, No. 3, pp. 306-315, June 2002.
• S. Shieh and C. T. Lin, “A Vector Neural Network for Emitter Identification,” IEEE Transactions on Antennas and Propagation, Vol. 50, No. 8, pp. 1120-1127, Aug. 2002.
• T. Lin, I. F. Chung, H. C. Pu, T. H. Lee, and J. Y. Chang, “Genetic Algorithm-Based Neural Fuzzy Decision Tree for Mixed Scheduling in ATM Networks,” IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, Vol. 32, No. 6, pp. 832-845, Dec. 2002.
• D. Wu and C. T. Lin, “Single-channel Speech Enhancement in Variable Noise-level Environment,” IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, Vol. 33, No.1, pp. 137-143, Jan. 2003.
• T. Lin, S. H. Liu, J. J. Wang, and Z. C. Wen, “Reduction of Interference in Oscillometric Arterial Blood Pressure Measurement Using Fuzzy Logic,” IEEE Transactions on Biomedical Engineering, Vol. 50, No. 4, pp. 432-441, April 2003.
• C. P. Hu, Y. C. Shih, Y. S. Yang, C. Y. Wu, C. J. Yuan, M. D. Ker, T. K. Wu, Y. K. Li, Y. Z. Hsieh, W. S. Hsu, and C. T. Lin, “CMOS Chip As Luminescent Sensor For Biochemical Reactions,” IEEE Sensors Journal, Vol. 3, pp. 310-316, June 2003.
• D. Huang, C. T. Lin, and N. R. Pal, “Hierarchical Learning Architecture with Automatic Feature Selection for MultiClass Protein Fold Classification,”IEEE Transactions on Nanobioscience, Vol. 2, No. 4, pp. 221-232, Dec. 2003.
• B. Duh, C. F. Juang, and C. T. Lin, “A Neural Fuzzy Network Approach to Radar Pulse Compression,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 1, No. 1, pp. 15-20, Jan. 2004.
• B. Duh and C. T. Lin, “Tracking a Maneuvering Target Using Neural Fuzzy Network,” IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, Vol. 34, No. 1, pp. 16-33, Feb. 2004.
• T. Lin, R. C. Wu, J. Y. Chang, and S. F. Liang, “A Novel Prosodic- information Synthesizer Based on Recurrent Fuzzy Neural Network for the Chinese TTS System,” IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, Vol. 34, pp. 309-324, Feb. 2004.
• T. Lin, C. L. Chang, and W. C. Cheng, “A Recurrent Fuzzy Cellular Neural Network System with Automatic Structure and Template Learning,” IEEE Transactions on Circuits and Systems I-Regular Papers, Vol. 51, No, 5, pp.1024-1035, May 2004.
• W. Shou and C. T. Lin, “Image Descreening by GA-CNN-based Texture Classification,” IEEE Transactions on Circuits and Systems I-Regular Papers, Vol. 51, pp. 2287- 2299, Nov. 2004.
• T. Lin and C. L. Chang, “New Horizon for Cellular Neural Networks: with Fuzzy Paradigms for Multimedia,” IEEE Circuits and Systems Magazine, Vol. 5, pp. 20-35,Jan. 2005.
• T. Lin, W. C. Cheng, and S. F. Liang, “An On-line ICA-mixture-model-based Self-constructing Fuzzy Neural Network,” IEEE Transactions on Circuits and Systems I-Regular Papers, Vol. 52, No. 1, pp. 207-221, Jan. 2005.
• T. Lin, K. L. Lin, C. H. Yang, I F. Chung, C. D. Huang, and Y. S. Yang, “Protein Metal Binding Residue Prediction Based on Neural Networks,” International Journal of Neural Systems, Vol. 15, No. 1&2, pp. 71-84, Feb/April 2005.
• C. Hsu, S. F. Liang, and C. T. Lin, “A Robust Digital Image Stabilization Technique Based on Inverse Triangle Method and Background Detection,” IEEE Transactions on Consumer Electronics, Vol. 51, No. 2, pp. 335-345, May 2005.
• T. Lin, W. C. Cheng, and S. F. Liang, “A 3-D Surface Reconstruction Approach Based on Postnonlinear ICA Model,” IEEE Transactions on Neural Networks, Vol. 16, No. 6, pp. 1638-1650, Nov. 2005.
• T. Lin, W. C. Cheng, and S. F. Liang, “Neural-network-based Adaptive Hybrid-reflectance Model for 3-D Surface Reconstruction,” IEEE Transactions on Neural Networks, Vol. 16, No. 6, pp. 1601-1615, Nov. 2005.
• T. Lin, R. C. Wu, S. F. Liang, W. H. Chao, Y. J. Chen, and T. P. Jung, “EEG-based Drowsiness Estimation for Safety Driving Using Independent Component Analysis,” IEEE Transactions on Circuits and Systems I-Regular Papers, Vol. 52, No. 12, pp. 2726-2738, Dec. 2005.
• T. Lin, C. M. Yeh, S. F. Liang, J. F. Chung, and Nimit Kumar, “Support-vector-based Fuzzy Neural Network for Pattern Classification,” IEEE Transactions on Fuzzy Systems, Vol. 14, No. 1, pp. 31-41, Feb. 2006.
• L. Chang, K. W. Fan, I. F. Chung, and C. T. Lin, “A Recurrent Fuzzy Coupled Cellular Neural Network System with Automatic Structure and Template Learning,” IEEE Transactions on Circuits and Systems II-Express Briefs, Vol. 53, No. 8, pp. 602-606, Aug. 2006 .
• T. Lin, L. W. Ko, I. F. Chung, T. Y. Huang, Y. C. Chen, T. P. Jung, and S. F. Liang, “Adaptive EEG-based Alertness Estimation System by Using ICA-Based Fuzzy Neural Networks,” IEEE Transactions on Circuits and Systems I-Regular Papers, Vol. 53, No. 11, pp. 2469-2476, Nov. 2006.
• T. Lin, H. C. Pu, K. W. Fan, S. M. Lu, and S. F. Liang, “An HVS-directed Neural-network-based Image Resolution Enhancement Scheme for Image Resizing,” IEEE Transactions on Fuzzy Systems, Vol.15, No. 4, pp.605-615, Aug. 2007.
• H. Huang and C. T. Lin, “Bio-inspired Computer Fovea Model Based on Hexagonal-type Cellular Neural Network,” IEEE Transactions on Circuits and Systems I-Regular Papers, Vol. 54, No. 1, pp. 35-47, Jan. 2007.
• C. Hsu, S. F. Liang, K. W. Fan, and C. T. Lin, “A Robust In-car Digital Image Stabilization Technique,” IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Reviews, Vol. 37, No. 2, pp. 234-247, March 2007.
• L. Lin, C. Y. Lin, C. D. Huang, H. M. Chang, C. Y. Yang, C. T. Lin, C. Y. Tang, and D. F. Hsu, “Feature Selection and Combination Criteria for Improving Accuracy in Protein Structure Prediction,” IEEE Transactions on NanoBioscience, Vol. 6, No.2, pp.186-196, June 2007.
• T. Lin, I. F. Chung, L. W. Ko, Y. C. Chen, S. F. Liang, and J. R. Duann, “EEG-based Assessment of Driver Cognitive Responses in a Dynamic Virtual-reality Driving Environment,” IEEE Transactions on Biomedical Engineering, Vol. 54, Issue 7, pp. 1349-1352, July 2007.
• T. Lin, C. H. Huang, and S. A. Chen, “CNN-based Hybrid-order Texture Segregation as Early Vision Processing and its Implementation on CNN-UM,” IEEE Transactions on Circuits and Systems I-Regular Papers, Vol. 54, No.10, pp. 2277-2287, Oct. 2007.
• T. Lin, Y. C. Chen, T. Y. Huang, T. T. Chiu, L. W. Ko, S. F. Liang, H. Y. Hsieh, S. H. Hsu, and J. R. Duann, “Development of Wireless Brain Computer Interface with Embedded Multi-task Scheduling and its Application on Real-time Driver’s Drowsiness Detection and Warning,” IEEE Transactions on Biomedical Engineering, Vol. 55, No. 5, pp.1582-1591, May 2008.
• T. Lin, L. W. Ko, J. C. Chiou, J. R. Duann, R. S. Huang, T. W. Chiu, S. F. Liang, and T. P. Jung, “Noninvasive Neural Prostheses Using Mobile and Wireless EEG,” Proceedings of the IEEE, Vol. 96, No.7, pp. 1167-1183, July 2008.
• T. Lin, Y. C. Yu, and L. D. Van, “Cost-effective Triple-mode Reconfigurable Pipeline FFT/IFFT/2-D DCT Processor,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol. 16, No. 8, pp. 1058-1071, Aug. 2008.
• F. Liang, S. M. Lu, J. Y. Chang, and C. T. Lin, “A Novel Two-stage Impulse Noise Removal Technique Based on Neural Networks and Fuzzy Decision,” IEEE Transactions on Fuzzy Systems, Vol. 16, No. 4, pp. 863-873, Aug. 2008.
• H. Chen, C. J. Lin, and C. T. Lin, “A Functional-link-based NeuroFuzzy Network for Nonlinear System Control,” IEEE Transactions on Fuzzy Systems, Vol. 16, No. 5, pp. 1362-1378, Oct. 2008.
• S. Tsai, C. T. Lin, G. C. Tseng, I. F. Chung, and N. R. Pal, “Discovery of Dominant and Dormant Genes from Expression Data Using a Novel Generalization of SNR for Multi-class Problems,” BMC Bioinformatics, Vol. 9: 425, Oct. 2008.
• J. Lin, C. H. Chen, and C. T. Lin, “A Hybrid of Cooperative Particle Swarm Optimization and Cultural Algorithm for Neural Fuzzy Networks and Its Prediction Applications,” IEEE Transactions on Systems Man and Cybernetics Part C-Applications and Reviews, Vol. 39, No. 1, pp. 55-68, Jan. 2009.
• H. Chen, C. J. Lin, and C. T. Lin, “Using an Efficient Immune Symbiotic Evolution Learning for Compensatory Neuro-fuzzy Controller,” IEEE Transactions on Fuzzy Systems, Vol. 17, No. 3, pp. 668-682, June 2009.
• T. Lin, C. T. Hong, and C. T. Yang, “Real-time Digital Image Stabilization System Using Modified Proportional Integrated Controller,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 19, No. 3, pp. 427-431, March 2009.
• L. Lin, C. T. Lin, N. R. Pal, and S. Ojha, “Structural Building Blocks: Construction of Protein 3-D Structures Using a Structural Variant of Mountain Clustering Method,” IEEE Engineering in Medicine and Biology Magazine, Vol. 28, No. 4, pp. 38-44, July 2009.
• D. Liao, Paul C. P. Chao, J. T. Chen, W. D. Chen, W. H. Hsu, C. W. Chiu, and C. T. Lin, “A Miniaturized Electromagnetic Generator With Planar Coils and Its Energy Harvest Circuit,” IEEE Transactions on Magnetics, Vol. 45, No. 10, pp. 40216-4027, Oct. 2009.
• T. Lin, L. W. Ko, and T. K. Shen, “Computational Intelligent Brain Computer Interaction and Its Applications on Driving Cognition,” IEEE Computational Intelligence Magazine, Vol. 4, No. 4, pp. 32-46, Nov. 2009.
• C. Chen, J. R. Duann, S. W. Chuang, C. L. Lin, L. W. Ko, T. P. Jung, and C. T. Lin, “Spatial and Temporal EEG Dynamics of Motion Sickness,” NeuroImage, Vol. 49, No. 3, pp. 2862-2870, Feb. 2010.
• T. Lin, K. C. Chang, C. L. Lin, C. C. Chiang, S. W. Lu, S. S. Chang, B. S. Lin, H. Y. Liang, R. J. Chen, Y. T. Lee, and L. W. Ko, “An Intelligent Telecardiology System Using a Wearable and Wireless ECG to Detect Atrial Fibrillation,” IEEE Transactions on Information Technology in Biomedicine, Vol. 14, No. 3, pp. 726-733, May 2010.
• T. Lin, K. C. Huang, C. F. Chao, J. A. Chen, T. W. Chiu, L. W. Ko, and T. P. Jung, “Tonic and Phasic EEG and Behavioral Changes Induced by Arousing Feedback,” NeuroImage, Vol. 52, Issue 2, pp. 633-642, Aug. 2010.
• D. Liao, M. L. Li, H. Y. Lai, Y. Y. Shih, Y. C. Lo, S. Tsang, Paul C.P. Chao,C. T. Lin, F. S. Jaw, and Y. Y. Chen, “Imaging Brain Hemodynamic Changes During Rat Forepaw Electrical Stimulation Using Functional Photoacoustic Microscopy,” NeuroImage, Vol. 52, No. 2, pp. 562-570, Aug. 2010.
• T. Lin, C. J. Chang, B. S. Lin, S. H. Hung, C. F. Chao, and I. J. Wang, “A Real-time Wireless Brain Computer Interface System for Drowsiness Detection,” IEEE Transactions on Biomedical Circuits and Systems, Vol. 4, pp. 214-222, Aug. 2010.
• L. Lin, C. T. Lin, and N. R. Pal, “Incremental Mountain Clustering Method to Find Building Blocks For Constructing Structures of Proteins,” IEEE Transactions on NanoBioscience, Vol. 9, No. 4,pp.278-288, Dec. 2010.
• Y. Chen, L. D. Van, I. H. Khoo, H.C. Reddy, and C. T. Lin, “Power-efficient and Cost-effective 2-D Symmetry Filter Architectures, ,” IEEE Transactions on Circuits and Systems I-Regular Papers, Vol. 58, No. 1, pp. 112-125, Jan. 2011.
• T. Lin, S. A. Chen, T. T. Chiu, H. Z. Lin, and L. W. Ko, “Spatial and Temporal EEG Dynamics of Dual-Task Driving Performance,” Journal of NeuroEngineering and Rehabilitation (JNER), Vol. 8, No. 11, pp. 11-23, Feb. 2011.
• H. Li, B.C. Kuo, and C. T. Lin, “LDA-Based Clustering Algorithm And Its Application To An Unsupervised Feature Extraction,” IEEE Transactions on Fuzzy Systems, Vol.19, No.1, pp.152-163, Feb. 2011.
• T. Lin, L. D. Liao, Y. H. Liu, I. J. Wang, B. S. Lin, and J. Y. Chang, “Novel Dry Polymer Foam Electrodes for Long-Term EEG Measurement,” IEEE Transactions on Biomedical Engineering, Vol.58, No.5, pp. 1200-1207, May 2011.
• D. Liao, I J. Wang, S. F Chen, J. Y. Chang, and C. T. Lin, “Design, Fabrication and Experimental Validation of a Novel Dry Contact Sensor for Measuring Electroencephalography Signals without Skin Preparation,” Sensors, Vol.11, No.6, pp.5819-5834, June 2011.
• D. Liao, C. Y. Chen, I. J. Wang, S. F. Chen, B. W. Chen, J. Y. Chang, and C. T. Lin*, “Gaming Control Using a Wearable and Wireless EEG-Based Brain-Computer Interface Device with Novel Dry Foam-based Sensors,” Journal of NeuroEngineering and Rehabilitation(JNER), Vol. 9, No. 5, Jan. 2012.
• C. Chiu, K. Gramann, L. W.Ko, J. R. Duann, T. P. Jung, and C. T. Lin*, “Alpha Modulation in Parietal and Retrosplenial Cortex correlates with Navigation Performance,” Psychophysiology, Vol. 49, Issue 1, pp. 43-55, Jan. 2012.
• H. Li*, B.C. Kuo, C.T. Lin, and C.S. Huang, “A Spatial-Contextual Support Vector Machine For Remotely Sensed Image Classification,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, No. 3, pp. 784-799, Mar. 2012.
• L. Lin, F. Z. Shaw, K. Y. Young, C. T. Lin, and T. P. Jung, “EEG Correlates of Haptic Feedback in aVisuomotor Tracking Task,” NeuroImage, Vol.60, Issue 4, pp. 2258-2273, May 1. 2012.
• W. Chuang, L. W. Ko, Y. P. Lin, R. S. Huang, T. P. Jung, and C. T. Lin, “Co-modulatory Spectral Changes in Independent Brain Processes Are Correlated with Task Performance,” NeuroImage, Vol.62 No.3, pp. 1469-1477, May 2012.
• D. Liao, C. T. Lin*, K. McDowell, A. Wickenden, K. Gramann, T. P. Jung, L.W. Ko, and J. Y. Chang, “Biosensor Technologies for the Augmented Brain-Computer Interface in the Next Decades,” PROCEEDINGS OF THE IEEE, Vol.100, pp. 1553-1566, May 2012.
• T. Lin*, T. Y. Huang, W. J. Lin, Y. H. Lin, L. W. Ko, D. L. Hung, and E. C. Chang, “Gender Differences in Wayfinding in Virtual Environments with Global or Local Landmark,” Journal of Environmental Psychology, Vol. 32, No. 2, pp. 89-96, June 2012.
• D. Liao, C. T. Lin, Y. Y. Shih, J. Y. Chang, M. L. Li, and Y. Y. Chen, “Investigation of The Cerebral Hemodynamic Responsefunction in Single Blood Vessels by Functionalphotoacoustic Microscopy,” Journal of Biomedical Optics, Vol.17, Issue 6, June 2012.
• Y. Lai, L. D. Liao, C. T. Lin, J. H. Hsu, Xin He, Y. Y. Chen, J.Y. Chang, H. F. Chen, S. Tsang, and Y. Y. I Shih, “Design, Simulation and Experimental Validations of a Novel Flexible Neural Probe for Deep Brain Stimulation and Multichannel Recording,” Journal of Neural Engineering, Vol. 9, No. 3, June 2012.
• D. Liao, C. T. Lin, Y. Y. I. Shih, Timothy Q, Duong, M. L. Li, and Y. Y. Chen, “Transcranial Imaging of Functional Cerebral Hemodynamic Changes in Single Blood Vessels Using In Vivo Photoacoustic Microscopy,” Journal of Cerebral Blood Flow & Metabolism, Vol. 32, Issue6, pp. 939-951,June 2012.
• C. Lin, L. W.Ko, C. H. Chuang, T. P. Su, and C. T. Lin, “Generalized EEG-based Drowsiness Prediction System by Using a Self-Organizing Neural Fuzzy System,” IEEE Transactions on Circuits and Systems I-Regular Papers, Vol. 59, No. 9, pp.2044-2055, Sep. 2012.
• L. Lin, T. P. Jung, S. W. Chuang, J. R. Duann, C. T. Lin, and T. W. Chiu, “Self-adjustments May Account for the Contradictory Correlations between HRV and Motion-sickness Severity,” International Journal of Psychophysiology, Vol. 87, Issue 1, pp.70-80, Jan 2013. (EI and SCI)
  (IF: 2.036, 34/75 or 45.3% PSYCHOLOGY)
• Y. Lin, J. Y. Chang, and C. T. Lin, “Identification and Prediction of Dynamic Systems Using an Interactively Recurrent Self-evolving Fuzzy Neural Network (IRSFNN) ,” IEEE Transactions on Neural Networks and Leaning Systems (TNNLS), Vol 24, Issue 2, pp. 310–321, Feb. 2013.
• McDowell, C. T. Lin, K. S. Oie, T. P. Jung, S. Gordon, K. W. Whitaker, S. Y. Li, S. W. Lu, and W. D. Hairston, “Real-World Neuroimaging Technologies,” IEEE Access ,Vol. 1 , pp 131-149, May 2013.
• Y. Lin, J. Y. Chang, N. R. Pal and C. T. Lin, “A Mutually Recurrent Interval Type-2 Neural Fuzzy System (MRIT2NFS) with Self-evolving Structure and Parameters,” IEEE Transactions on Fuzzy Systems, Vol. 21, Issue 3 , June 2013.
• L. Wu, L. D. Liao, S. W. Lu, W. L. Jiang, S. A. Chen, and C. T. Lin, “Controlling a Human-Computer Interface System with a Novel Classification Method that uses Electrooculography Signals,” IEEE Transactions on Biomedical Engineering (TBME), Vol. 60, No. 8, pp 2133-2141, Aug. 2013.
• T. Lin, K. C. Huang, C. H. Chuang, L. W. Ko, and T. P. Jung, “Can Arousing Feedback Rectify Lapses in Driving? Prediction From EEG Power Spectra,”Journal of Neural Engineering, Vol. 10, No. 5, Oct. 2013.
• T. Lin, S. F. Tsai, and L. W. Ko, “EEG-Based Learning System for Online Motion Sickness Level Estimation in a Dynamic Vehicle Environment,” IEEE Transactions on Neural Networks and Learning Systems, Vol. 24, Issue 10, pp 1689-1700, Oct. 2013.
• Y. Lin, J. Y. Chang, and C. T. Lin, “A TSK-type-based Self-Evolving Compensatory Interval Type-2 Fuzzy Neural Network (TSCIT2FNN) and Its Applications,” IEEE Transactions on Industrial Electronics, Vol. 61, No. 1, pp. 447-459, Jan. 2014.
• H. Chuang, L. W. Ko, Y. P. Lin, T. P. Jung and C. T. Lin, “Independent Component Ensemble of EEG for Brain-Computer Interface,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 22, Issue 2, pp. 230-238, March 2014.
• K. Wang, S. A. Chen, and C. T. Lin, “An EEG-Based Brain-Computer Interface for Dual Task Driving Detection,” Neurocomputing, Vol. 129, pp. 85-93, April 2014.
• H Chuang, L. W Ko, T. P. Jung, and C. T. Lin, “Kinesthesia in a sustained-attention driving task,” NeuroImage, Vol. 91, pp. 187-202, May 2014.
• Y. Lin, S. H. Liao, J. Y. Chang, and C. T. Lin, “Simplified Interval Type-2 Fuzzy Neural Networks,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 25, No. 5, pp. 85-93, May 2014.
• D. Liao, S. L. Wu, C. H. Liou, S. W. Lu, S. A. Chen, L. W. Ko, S. F. Chen, and C. T. Lin, “A Novel 16-Channel Wireless Brain-Computer Interface System for Electroencephalography Measurements with Dry Spring-Loaded Sensors,” IEEE Transactions on Instrumentation and Measurement, Vol. 63, Issue 6, pp. 1545-1555, June 2014.
• T. Lin, C. H. Chuang, C. S. Huang, S. W. Lu, and L. W. Ko, “Wireless and Wearable EEG System for evaluating Driver Vigilance,” IEEE Transactions on Biomedical Circuits and Systems Vol. 8 , Issue 2 , pp. 165-176, April 2014.
• Chakraborty, C. T. Lin, and N.R. Pal, “Sensor (Group Feature) Selection with Controlled Redundancy in a Connectionist Framework,” International Journal of Neural Systems, Vol. 24, No. 6, 1450021, June 2014.
• S. Huang, C. L. Lin, L. W. Ko, S. Y. Liu, T. P. Su, and C. T. Lin, “Knowledge-based Identification of Sleep Stages Based on Two Forehead Electroencephalogram Channels,” Frontiers in Neuroscience, Vol. 8, Issue 263, doi:10.3389, Aug. 2014.
• Y. Lin, N.R. Pal, and C. T. Lin, “An Interval Type-2 Neural Fuzzy System for online system identification and Feature Elimination,”IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, No. 7, pp. 1442-1455, July 2015.
• T. Lin, Y. K. Wang, S. A. Chen, and T. P. Jung, “EEG-Based Attention Tracking during Distracted Driving,”IEEE Transactions on Neural Systems & Rehabilitation Engineering, Vol. 23, No. 6, pp.1085-1094, Nov. 2015.
• H. Chuang, C.-S. Huang, L.-W. Ko, and C. T. Lin, “An EEG-based Perceptual Function Integration Network for Application to Drowsy Driving,”Knowledge-Based Systems, Vol. 80, pp. 143-152, May 2015.
• Prasad, Y. Y. Lin, C. T. Lin, M. J. Er, and O. K. Prasad, “A New Data-Driven Neural Fuzzy System with Collaborative Fuzzy Clustering Mechanism,”Neurocomputing , Vol. 167, pp. 558-568, Nov. 2015.
• T. Lin, M. Prasad, and A. Saxena, “An Improved Polynomial Neural Network Classifier Using Real Coded Genetic Algorithm,” IEEE Transaction on System, Man and Cybernetics: System, Vol. 45, Issue 11, pp. 1389-1401, Nov. 2015.
• T. Lin, T. C. Chiu, and K. Gramann, “EEG Correlates of Spatial Orientation in the Human Retrosplenial Complex,”NeuroImage, Vol 120, pp. 123-132, Oct. 2015.
• S. Huang, N. R. Pal, C. H. Chuang, C. T. Lin, “Identifying Changes in EEG Information Transfer during Drowsy Driving by Transfer Entropy,”Frontiers in Human Neuroscience, Vol. 9, Oct. 23, 2015.
• T. Liu, Y. Y. Lin, S. L. Lin, C. H. Chuang, and C. T. Lin*, “Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network,” IEEE Transactions on Neural Networks and Learning Systems, Vol 27, No 2, pp. 347-360, Feb. 2016. (SCI/EI)
• Prasad, C. T. Lin, D. L. Li, C. T. Hong, W. Ding, and J. Y. Chang, “Soft-boosted Self-constructing Neural Fuzzy Inference Network,” IEEE Transactions on Systems, Man and Cybernetics: Systems, Vol PP, Issue 99, pp. 1-5, Nov. 2015.
• Prasad, D. L. Li, C. T. Lin, S. Prakash, J. Singh, and S. Joshi, “Designing Mamdani-Type Fuzzy Reasoning for Visualizing Prediction Problems Based on Collaborative Fuzzy Clustering,” IAENG International Journal of Computer Science, 42:4, IJCS_42_4_12, Nov. 2015. (Advance online publication: 21 Nov. 2015)
• P. Ding, C. T. Lin, M. Prased, and S. B. Chen, “Attribute Equilibrium Dominance Reduction Accelerator (DCCAEDR) Based on Distributed Coevolutionary Cloud and Its Application in Medical Records,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol 46, Issue 3, pp.384-400, Feb. 2016.
• W. Chuang, C. H. Chuang, Y. H. Yu, J. T. King, and C. T. Lin, “EEG Alpha and Gamma Modulators Mediate Motion Sickness-Related Spectral Response,”International Journal of Neural systems, Vol 26, Issue02, March. 2016.
• C. Huang, T. Y. Huang, Y. K. Wang, C. T. Lin, and T. P. Jung, “Validating an EEG-Based Fatigue Detection and Mitigation,” accepted by International Journal of Neural Systems, Jan. 2016.
• H. Yu, S. W. Lu, C. H. Chuang, J. T. King, C. L. Chang, S. A. Chen, and C. T. Lin*, “An Inflatable and Wearable Wireless System for Making 32-Channel Electroencephalogram Measurements,” accepted by IEEE Transactions on Neural Systems and Rehabilitation Engineering, Jan. 2016.
• T. Lin, C. H. Chuang, S. Kerick, T. Mullen, T. P. Jung, L. W. Ko, S. A. Chen, J. T. King, and K. McDowell, “Mind-Wandering Tends to Occur Under Low Perceptual Demands During Driving,” accepted by Scientific Reports, Jan 2016. (IF: 5.578, category: multidisciplinary sciences; ranking: 5/57) (NaturePublishing Group; 5-Year Impact Factor: 5.598, Rank: 5/57 or 8.8% in the category of Multidisciplinary Sciences)
• C. Huang, T. Y. Huang, C. H. Chuang, J. T. King, C. T. Lin, and T. P. Jung, “An EEG-based Fatigue Detection and Mitigation System,” accepted by International Journal of Neural Systems, Jan. 2016.
• L. Wu, Y. T. Liu, T. Y. Hsieh, Y. Y. Lin, C. Y. Chen, C. H. Chuang, C. T. Lin, “Fuzzy Integral with Particle Swarm Optimization for a Motor-Imagery-based Brain-Computer Interface,” accepted by IEEE Transactions on Fuzzy Systems, 2016.
• L. Li*, M. Prasad*, C. T. Lin*, J. Y. Chang*, “Self-Adjusting Feature Maps Network and Its Applications,” Neurocomputing, Vol. 207, pp. 78-94, Sep. 2016.
• T. Liu, C. H. Chuang, J. M. Wang, and C. T. Lin, “Changes in Alertness and the EEG Effective Connectivity in a Sustained-Attention Driving Task,” accepted by Journal of Neuroscience and Neuroengineering, 2016.
• Singh, M. Prasad*, O. K. Prasad, E. M. Joo, A. K. Saxena and C. T. Lin, “ A Novel Fuzzy Logic Model for Pseudo Relevance Feedback based on Query Expansion,” International Journal of Fuzzy Systems, Vol. 18, Issue 6, PP. 980-989, Dec. 2016.
• T. Liu, C. T. Lin, C. H. Chuang, Y. K. Wang, S. H. Huang, J. T. King, S. A. Chen, and S. W. Lu, “Novel Neurotechnology and Computational Intelligence Method Applied to EEG-based Brain-Computer Interfaces,” accepted by IEEE Systems, Man, and Cybernetics Magazine, 2016.
• Gupta, C. T. Lin, M. K. Mehlawat, and N. Grover, “A New Method for Intuitionistic Fuzzy Multiattribute Decision Making,” IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, VOL. 46, NO. 9, SEP. 2016.
• Kaiwartya, H. Abdullah, Y. Cao, A. Altameen, M. Prased, C. T. Lin and X. Liu, “Internet of Vehicles: Motivation, Layered Architecture Network Model Challenges and Future Aspects,”accepted by IEEE access, Aug. 2016.
• Wu, V. Lawhern, S. Gordon, B. Lance and C. T Lin, “Driver Drowsiness Estimation from EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR),”accepted by IEEE Transactions on Fuzzy Systems, Oct. 2016
• H. Yu, S. H. Chen, C. L. Chang, C. T. Lin*, W. D. Hairston, R. A Mrozek, “New Flexible Silicone-based EEG Dry Sensor Material Compositions Exhibiting Improvements in Lifespan, Conductivity and Reliability,” Sensors,16(11),1826, Oct. 2016.
• H. Cao, C. T. Lin, C. H. Chuang, K. L. Lai, A. C. Yang, J. L. Fuh, S. J. Wang, “Resting-state EEG Power and Coherence Vary between Migraine Phases,” The journal of Headache and Pain, Vol. 17, No. 1, pp. 102, Oct. 2016.
• T. Liu, Y. Y. Lin, S. L. Wu, A. Marathe, N. Pal, C. H. Chuang, J. T. king, and C. T. Lin, “Weighted Fuzzy Dempster-Shafer Framework for Multi-Modal Information Integration,” accepted by IEEE Transactions on Fuzzy Systems, Nov. 2016.
• Liang*, C. T. Lin, S. N. Yao, W. S. Chang, Y. C. Liu, and S. A. Chen, ”Visual Attention and Association: An Electroencephalography Study in Expert Designers,” Design Studies, Vol. 48, pp. 76-95, 2017. DOI: 10.1016/j.destud.2016.11.002. (SCI IF = 2.070, 15/85, 17.65%, 5-year = 2.652, 12/85, 14.12%, Engineering Multidisciplinary)
• H. Chen, C. J. Lin and C. T. Lin, “Nonlinear system control using adaptive neural fuzzy networks based on a modified differential evolution,” IEEE Transactions on Systems, Man, and Cybernetics, Part C, Vol. 39, No.4, PP.459-473, July, 2009.
• J. Lin, C. H. Hung, C. T. Lin, “Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems,” IEEE Transactions on Fuzzy Systems, Vol. 16, No.6, PP.1476-1490, Sep. 2008.
• Cao and C. T. Lin, “Inherent Fuzzy Entropy for the Improvement of EEG Complexity Evaluation,” IEEE Transactions on Fuzzy Systems (acceptance date: 20 January, 2017)