| Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information L Wei, J Tang, Q Zou Information Sciences 384, 135-144, 2017 | 263 | 2017 |
| Prediction of human protein subcellular localization using deep learning L Wei, Y Ding, R Su, J Tang, Q Zou Journal of Parallel and Distributed Computing 117, 212-217, 2018 | 230 | 2018 |
| Identification of drug-side effect association via multiple information integration with centered kernel alignment Y Ding, J Tang, F Guo Neurocomputing 325, 211-224, 2019 | 203 | 2019 |
| Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus Y Zhang, L An, J Xu, B Zhang, WJ Zheng, M Hu, J Tang, F Yue Nature communications 9 (1), 750, 2018 | 193 | 2018 |
| Identification of drug-target interactions via multiple information integration Y Ding, J Tang, F Guo Information Sciences 418, 546-560, 2017 | 190 | 2017 |
| A computational approach for examining the roots and spreading patterns of fake news: Evolution tree analysis SM Jang, T Geng, JYQ Li, R Xia, CT Huang, H Kim, J Tang Computers in Human Behavior 84, 103-113, 2018 | 189 | 2018 |
| Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy Q Zou, S Wan, Y Ju, J Tang, X Zeng BMC systems biology 10, 401-412, 2016 | 163 | 2016 |
| Steps toward accurate reconstructions of phylogenies from gene-order data BME Moret, J Tang, LS Wang, T Warnow Journal of Computer and System Sciences 65 (3), 508-525, 2002 | 162 | 2002 |
| Predicting protein-protein interactions via multivariate mutual information of protein sequences Y Ding, J Tang, F Guo BMC bioinformatics 17, 1-13, 2016 | 157 | 2016 |
| Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou’s general PseAAC Y Shen, J Tang, F Guo Journal of Theoretical Biology 462, 230-239, 2019 | 151 | 2019 |
| Identification of drug–target interactions via dual laplacian regularized least squares with multiple kernel fusion Y Ding, J Tang, F Guo Knowledge-Based Systems 204, 106254, 2020 | 141 | 2020 |
| MK-FSVM-SVDD: a multiple kernel-based fuzzy SVM model for predicting DNA-binding proteins via support vector data description Y Zou, H Wu, X Guo, L Peng, Y Ding, J Tang, F Guo Current Bioinformatics 16 (2), 274-283, 2021 | 121 | 2021 |
| Inversion medians outperform breakpoint medians in phylogeny reconstruction from gene-order data BME Moret, AC Siepel, J Tang, T Liu Algorithms in Bioinformatics: Second International Workshop, WABI 2002 Rome …, 2002 | 118 | 2002 |
| PhosPred-RF: a novel sequence-based predictor for phosphorylation sites using sequential information only L Wei, P Xing, J Tang, Q Zou IEEE transactions on nanobioscience 16 (4), 240-247, 2017 | 117 | 2017 |
| MLGO: phylogeny reconstruction and ancestral inference from gene-order data F Hu, Y Lin, J Tang BMC bioinformatics 15, 1-6, 2014 | 114 | 2014 |
| Identification of membrane protein types via multivariate information fusion with Hilbert–Schmidt independence criterion H Wang, Y Ding, J Tang, F Guo Neurocomputing 383, 257-269, 2020 | 112 | 2020 |
| SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides L Wei, J Tang, Q Zou BMC genomics 18, 1-11, 2017 | 112 | 2017 |
| Scaling up accurate phylogenetic reconstruction from gene-order data J Tang, BME Moret Bioinformatics 19 (suppl_1), i305-i312, 2003 | 108 | 2003 |
| Identification of drug–target interactions via fuzzy bipartite local model Y Ding, J Tang, F Guo Neural Computing and Applications 32 (14), 10303-10319, 2020 | 94 | 2020 |
| Identification of drug-side effect association via semisupervised model and multiple kernel learning Y Ding, J Tang, F Guo IEEE journal of biomedical and health informatics 23 (6), 2619-2632, 2018 | 92 | 2018 |
