| Perceptual computing: aiding people in making subjective judgments JM Mendel, D Wu Wiley-IEEE, 2010 | 682 | 2010 |
| Enhanced Karnik-Mendel algorithms D Wu, JM Mendel IEEE transactions on fuzzy systems 17 (4), 923-934, 2009 | 671 | 2009 |
| Uncertainty measures for interval type-2 fuzzy sets D Wu, JM Mendel Information Sciences 177 (23), 5378-5393, 2007 | 448 | 2007 |
| A comparative study of ranking methods, similarity measures and uncertainty measures for interval type-2 fuzzy sets D Wu, JM Mendel Information Sciences 179 (8), 1169-1192, 2009 | 421 | 2009 |
| On the fundamental differences between interval type-2 and type-1 fuzzy logic controllers D Wu IEEE Transactions on Fuzzy Systems 20 (5), 832-848, 2012 | 350 | 2012 |
| Transfer Learning for Brain-Computer Interfaces: A Euclidean Space Data Alignment Approach H He, D Wu IEEE Transactions on Biomedical Engineering 67 (2), 399-410, 2020 | 349 | 2020 |
| EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications X Gu, Z Cao, A Jolfaei, P Xu, D Wu, TP Jung, CT Lin IEEE/ACM Trans. on Computational Biology and Bioinformatics, 2021 | 347 | 2021 |
| Aggregation using the linguistic weighted average and interval type-2 fuzzy sets D Wu, JM Mendel IEEE Transactions on Fuzzy Systems 15 (6), 1145-1161, 2007 | 344 | 2007 |
| A Survey on Negative Transfer W Zhang, L Deng, L Zhang, D WU IEEE/CAA Journal of Automatica Sinica 10 (2), 305-329, 2023 | 330* | 2023 |
| Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers D Wu, WW Tan Engineering Applications of Artificial Intelligence 19 (8), 829-841, 2006 | 322 | 2006 |
| Approaches for reducing the computational cost of interval type-2 fuzzy logic systems: overview and comparisons D Wu IEEE Transactions on Fuzzy Systems 21 (1), 80-99, 2012 | 299 | 2012 |
| Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016 D Wu, Y Xu, BL Lu IEEE Trans. on Cognitive and Developmental Systems 14 (1), 4-19, 2022 | 290 | 2022 |
| Comparison and practical implementation of type-reduction algorithms for type-2 fuzzy sets and systems D Wu, M Nie 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 2131-2138, 2011 | 279 | 2011 |
| Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data C Cheng, B Zhou, G Ma, D Wu, Y Yuan Neurocomputing 409, 35-45, 2020 | 252 | 2020 |
| A vector similarity measure for linguistic approximation: Interval type-2 and type-1 fuzzy sets D Wu, JM Mendel Information Sciences 178 (2), 381-402, 2008 | 247 | 2008 |
| Seizure Classification from EEG Signals Using Transfer Learning, Semi-Supervised Learning and TSK Fuzzy System Y Jiang, D Wu, Z Deng, P Qian, J Wang, G Wang, FL Chung, KS Choi, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017 | 245 | 2017 |
| A type-2 fuzzy logic controller for the liquid-level process D Wu, WW Tan 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No. 04CH37542 …, 2004 | 231 | 2004 |
| A simplified type-2 fuzzy controller for real-time control D Wu, WW Tan ISA Transactions 15 (4), 503-516, 2006 | 220* | 2006 |
| Enhanced interval approach for encoding words into interval type-2 fuzzy sets and its convergence analysis D Wu, JM Mendel, S Coupland IEEE transactions on fuzzy systems 20 (3), 499-513, 2011 | 219 | 2011 |
| Optimal arousal identification and classification for affective computing using physiological signals: virtual reality Stroop task D Wu, CG Courtney, BJ Lance, SS Narayanan, ME Dawson, KS Oie, ... IEEE Transactions on Affective Computing 1 (2), 109-118, 2010 | 209 | 2010 |
Jerry M. MendelProfessor Emeritus of Electrical Engineering, University of Southern California在 usc.edu 的電子郵件地址已通過驗證
