| Insect detection and classification based on an improved convolutional neural network D Xia, P Chen, B Wang, J Zhang, C Xie Sensors 18 (12), 4169, 2018 | 217 | 2018 |
| Predicting protein interaction sites from residue spatial sequence profile and evolution rate B Wang, P Chen, DS Huang, J Li, TM Lok, MR Lyu FEBS letters 580 (2), 380-384, 2006 | 202 | 2006 |
| Automatic classification for field crop insects via multiple-task sparse representation and multiple-kernel learning C Xie, J Zhang, R Li, J Li, P Hong, J Xia, P Chen Computers and Electronics in Agriculture 119, 123-132, 2015 | 182 | 2015 |
| Deep learning-based solar-cell manufacturing defect detection with complementary attention network B Su, H Chen, P Chen, G Bian, K Liu, W Liu IEEE Transactions on Industrial informatics 17 (6), 4084-4095, 2020 | 166 | 2020 |
| Multi-level learning features for automatic classification of field crop pests C Xie, R Wang, J Zhang, P Chen, W Dong, R Li, T Chen, H Chen Computers and Electronics in Agriculture 152, 233-241, 2018 | 158 | 2018 |
| Classification of plant leaf diseases based on improved convolutional neural network J Hang, D Zhang, P Chen, J Zhang, B Wang Sensors 19 (19), 4161, 2019 | 157 | 2019 |
| Apple leaf diseases recognition based on an improved convolutional neural network Q Yan, B Yang, W Wang, B Wang, P Chen, J Zhang Sensors 20 (12), 3535, 2020 | 121 | 2020 |
| Automatic localization and count of agricultural crop pests based on an improved deep learning pipeline W Li, P Chen, B Wang, C Xie Scientific reports 9 (1), 7024, 2019 | 104 | 2019 |
| Application of LSTM for short term fog forecasting based on meteorological elements K Miao, T Han, Y Yao, H Lu, P Chen, B Wang, J Zhang Neurocomputing 408, 285-291, 2020 | 88 | 2020 |
| Protein-protein interface hot spots prediction based on a hybrid feature selection strategy Y Qiao, Y Xiong, H Gao, X Zhu, P Chen BMC bioinformatics 19, 1-16, 2018 | 87 | 2018 |
| Phase changes of continuous cropping obstacles in strawberry (Fragaria× ananassa Duch.) production P Chen, Y Wang, Q Liu, Y Zhang, X Li, H Li, W Li Applied Soil Ecology 155, 103626, 2020 | 77 | 2020 |
| Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks SS Hu, C Zhang, P Chen, P Gu, J Zhang, B Wang BMC bioinformatics 20, 1-12, 2019 | 74 | 2019 |
| S-RPN: Sampling-balanced region proposal network for small crop pest detection R Wang, L Jiao, C Xie, P Chen, J Du, R Li Computers and Electronics in Agriculture 187, 106290, 2021 | 72 | 2021 |
| A deep learning-based chemical system for QSAR prediction SS Hu, P Chen, P Gu, B Wang IEEE journal of biomedical and health informatics 24 (10), 3020-3028, 2020 | 67 | 2020 |
| Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network Q Xiao, W Li, Y Kai, P Chen, J Zhang, B Wang BMC bioinformatics 20, 1-15, 2019 | 67 | 2019 |
| Occurrence prediction of cotton pests and diseases by bidirectional long short-term memory networks with climate and atmosphere circulation P Chen, Q Xiao, J Zhang, C Xie, B Wang Computers and Electronics in Agriculture 176, 105612, 2020 | 66 | 2020 |
| Developing computational model to predict protein-protein interaction sites based on the XGBoost algorithm A Deng, H Zhang, W Wang, J Zhang, D Fan, P Chen, B Wang International journal of molecular sciences 21 (7), 2274, 2020 | 59 | 2020 |
| LigandRFs: random forest ensemble to identify ligand-binding residues from sequence information alone P Chen, JZ Huang, X Gao BMC bioinformatics 15, 1-12, 2014 | 58 | 2014 |
| Sequence-based identification of interface residues by an integrative profile combining hydrophobic and evolutionary information P Chen, J Li BMC bioinformatics 11, 1-15, 2010 | 54 | 2010 |
| Crop leaf disease grade identification based on an improved convolutional neural network T Fang, P Chen, J Zhang, B Wang Journal of Electronic Imaging 29 (1), 013004-013004, 2020 | 50 | 2020 |
