| DeepSite: bidirectional LSTM and CNN models for predicting DNA–protein binding Y Zhang, S Qiao, S Ji, Y Li International Journal of Machine Learning and Cybernetics 11, 841-851, 2020 | 79 | 2020 |
| Review of the applications of deep learning in bioinformatics Y Zhang, J Yan, S Chen, M Gong, D Gao, M Zhu, W Gan Current Bioinformatics 15 (8), 898-911, 2020 | 49 | 2020 |
| Using ensemble methods to deal with imbalanced data in predicting protein–protein interactions Y Zhang, D Zhang, G Mi, D Ma, G Li, Y Guo, M Li, M Zhu Computational biology and chemistry 36, 36-41, 2012 | 49 | 2012 |
| Identification of DNA–protein binding sites by bootstrap multiple convolutional neural networks on sequence information Y Zhang, S Qiao, S Ji, N Han, D Liu, J Zhou Engineering Applications of Artificial Intelligence 79, 58-66, 2019 | 37 | 2019 |
| Generative adversarial networks in medical image processing M Gong, S Chen, Q Chen, Y Zeng, Y Zhang Current pharmaceutical design 27 (15), 1856-1868, 2021 | 32 | 2021 |
| An extended fractional Kalman filter for inferring gene regulatory networks using time-series data Y Zhang, Y Pu, H Zhang, Y Cong, J Zhou Chemometrics and Intelligent Laboratory Systems 138, 57-63, 2014 | 31 | 2014 |
| MFFNet: Multi-dimensional Feature Fusion Network based on attention mechanism for sEMG analysis to detect muscle fatigue Y Zhang, S Chen, W Cao, P Guo, D Gao, M Wang, J Zhou, T Wang Expert Systems with Applications 185, 115639, 2021 | 28 | 2021 |
| High-resolution transcription factor binding sites prediction improved performance and interpretability by deep learning method Y Zhang, Z Wang, Y Zeng, J Zhou, Q Zou Briefings in Bioinformatics 22 (6), bbab273, 2021 | 27 | 2021 |
| A review about transcription factor binding sites prediction based on deep learning Y Zeng, M Gong, M Lin, D Gao, Y Zhang Ieee Access 8, 219256-219274, 2020 | 24 | 2020 |
| Using gene expression programming to infer gene regulatory networks from time-series data Y Zhang, Y Pu, H Zhang, Y Su, L Zhang, J Zhou Computational biology and chemistry 47, 198-206, 2013 | 24 | 2013 |
| Combining generative adversarial networks and multi-output CNN for motor imagery classification J Xie, S Chen, Y Zhang, D Gao, T Liu Journal of neural engineering 18 (4), 046026, 2021 | 22 | 2021 |
| A point-of-interest suggestion algorithm in Multi-source geo-social networks X Xiong, S Qiao, Y Li, N Han, G Yuan, Y Zhang Engineering Applications of Artificial Intelligence 88, 103374, 2020 | 22 | 2020 |
| Prediction of adverse drug reactions by a network based external link prediction method J Lin, Q Kuang, Y Li, Y Zhang, J Sun, Z Ding, M Li Analytical Methods 5 (21), 6120-6127, 2013 | 22 | 2013 |
| A novel convolution attention model for predicting transcription factor binding sites by combination of sequence and shape Y Zhang, Z Wang, Y Zeng, Y Liu, S Xiong, M Wang, J Zhou, Q Zou Briefings in Bioinformatics 23 (1), bbab525, 2022 | 21 | 2022 |
| ICANet: a simple cascade linear convolution network for face recognition Y Zhang, T Geng, X Wu, J Zhou, D Gao EURASIP Journal on Image and Video Processing 2018, 1-7, 2018 | 21 | 2018 |
| CAE-CNN: Predicting transcription factor binding site with convolutional autoencoder and convolutional neural network Y Zhang, S Qiao, Y Zeng, D Gao, N Han, J Zhou Expert Systems with Applications 183, 115404, 2021 | 17 | 2021 |
| Applications of machine learning in drug target discovery D Gao, Q Chen, Y Zeng, M Jiang, Y Zhang Current Drug Metabolism 21 (10), 790-803, 2020 | 16 | 2020 |
| A survey on the algorithm and development of multiple sequence alignment Y Zhang, Q Zhang, J Zhou, Q Zou Briefings in bioinformatics 23 (3), bbac069, 2022 | 15 | 2022 |
| Automatic sleep staging algorithm based on time attention mechanism LX Feng, X Li, HY Wang, WY Zheng, YQ Zhang, DR Gao, MQ Wang Frontiers in Human Neuroscience 15, 692054, 2021 | 13 | 2021 |
| How to balance the bioinformatics data: pseudo-negative sampling Y Zhang, S Qiao, R Lu, N Han, D Liu, J Zhou BMC bioinformatics 20, 1-13, 2019 | 13 | 2019 |
