| Deep learning for mining protein data Q Shi, W Chen, S Huang, Y Wang, Z Xue Briefings in bioinformatics 22 (1), 194-218, 2021 | 68 | 2021 |
| Fueling ab initio folding with marine metagenomics enables structure and function predictions of new protein families Y Wang, Q Shi, P Yang, C Zhang, SM Mortuza, Z Xue, K Ning, Y Zhang Genome biology 20, 1-14, 2019 | 34 | 2019 |
| ThreaDomEx: a unified platform for predicting continuous and discontinuous protein domains by multiple-threading and segment assembly Y Wang, J Wang, R Li, Q Shi, Z Xue, Y Zhang Nucleic acids research 45 (W1), W400-W407, 2017 | 33 | 2017 |
| DNN-Dom: predicting protein domain boundary from sequence alone by deep neural network Q Shi, W Chen, S Huang, F Jin, Y Dong, Y Wang, Z Xue Bioinformatics 35 (24), 5128–5136, 2019 | 28 | 2019 |
| Clinical and infarction patterns of PFO‐related cryptogenic strokes and a prediction model D He, Q Shi, G Xu, Z Hu, X Li, Q Li, Y Guo, S Xu, Y Lin, Z Yu, W Wang, ... Annals of Clinical and Translational Neurology 5 (11), 1323-1337, 2018 | 24 | 2018 |
| Robust image registration using structure features Q Shi, G Ma, F Zhang, W Chen, Q Qin, H Duo IEEE Geoscience and Remote Sensing Letters 11 (12), 2045-2049, 2014 | 23 | 2014 |
| An automatic classification method on chronic venous insufficiency images Q Shi, W Chen, Y Pan, S Yin, Y Fu, J Mei, Z Xue Scientific Reports 8 (1), 17952, 2018 | 12 | 2018 |
| Gaussian kernel-based Fuzzy Rough Set for information fusion of imperfect images Q Shi, W Chen, Q Qin, G Ma 2014 12th International Conference on Signal Processing (ICSP), 900-904, 2014 | 3 | 2014 |
Weiya ChenHuazhong University of Science and TechnologyВерификована је имејл адреса на hust.edu.cn