| Predicting lncRNA-miRNA Interaction via Graph Convolution Auto-Encoder YA Huang, ZA Huang, ZH You, Z Zhu, WZ Huang, JX Guo, CQ Yu Frontiers in genetics 10, 758, 2019 | 53 | 2019 |
| A biomedical knowledge graph-based method for drug–drug interactions prediction through combining local and global features with deep neural networks ZH Ren, ZH You, CQ Yu, LP Li, YJ Guan, LX Guo, J Pan Briefings in bioinformatics 23 (5), bbac363, 2022 | 43 | 2022 |
| A novel circRNA-miRNA association prediction model based on structural deep neural network embedding LX Guo, ZH You, L Wang, CQ Yu, BW Zhao, ZH Ren, J Pan Briefings in Bioinformatics 23 (5), bbac391, 2022 | 36 | 2022 |
| BioDKG–DDI: predicting drug–drug interactions based on drug knowledge graph fusing biochemical information ZH Ren, CQ Yu, LP Li, ZH You, YJ Guan, XF Wang, J Pan Briefings in Functional Genomics 21 (3), 216-229, 2022 | 33 | 2022 |
| An efficient ensemble learning approach for predicting protein-protein interactions by integrating protein primary sequence and evolutionary information ZH You, WZ Huang, S Zhang, YA Huang, CQ Yu, LP Li IEEE/ACM transactions on computational biology and bioinformatics 16 (3 …, 2018 | 33 | 2018 |
| KGDCMI: a new approach for predicting circRNA–miRNA interactions from multi-source information extraction and deep learning XF Wang, CQ Yu, LP Li, ZH You, WZ Huang, YC Li, ZH Ren, YJ Guan Frontiers in Genetics 13, 958096, 2022 | 32 | 2022 |
| SGCNCMI: a new model combining multi-modal information to predict circRNA-related miRNAs, diseases and genes CQ Yu, XF Wang, LP Li, ZH You, WZ Huang, YC Li, ZH Ren, YJ Guan Biology 11 (9), 1350, 2022 | 23 | 2022 |
| Dwppi: a deep learning approach for predicting protein–protein interactions in plants based on multi-source information with a large-scale biological network J Pan, ZH You, LP Li, WZ Huang, JX Guo, CQ Yu, LP Wang, ZY Zhao Frontiers in Bioengineering and Biotechnology 10, 807522, 2022 | 23 | 2022 |
| DeepMPF: deep learning framework for predicting drug–target interactions based on multi-modal representation with meta-path semantic analysis ZH Ren, ZH You, Q Zou, CQ Yu, YF Ma, YJ Guan, HR You, XF Wang, ... Journal of Translational Medicine 21 (1), 48, 2023 | 22 | 2023 |
| BCMCMI: a fusion model for predicting circRNA-miRNA interactions combining semantic and meta-path MM Wei, CQ Yu, LP Li, ZH You, L Wang Journal of Chemical Information and Modeling 63 (16), 5384-5394, 2023 | 20 | 2023 |
| A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks XF Wang, CQ Yu, ZH You, LP Li, WZ Huang, ZH Ren, YC Li, MM Wei Briefings in Bioinformatics 24 (3), bbad111, 2023 | 20 | 2023 |
| An ensemble classifier to predict protein–protein interactions by combining PSSM-based evolutionary information with local binary pattern model Y Li, LP Li, L Wang, CQ Yu, Z Wang, ZH You International journal of molecular sciences 20 (14), 3511, 2019 | 19 | 2019 |
| PPAEDTI: personalized propagation auto-encoder model for predicting drug-target interactions YC Li, ZH You, CQ Yu, L Wang, L Wong, L Hu, PW Hu, YA Huang IEEE Journal of Biomedical and Health Informatics 27 (1), 573-582, 2022 | 18 | 2022 |
| Likelihood-based feature representation learning combined with neighborhood information for predicting circRNA–miRNA associations LX Guo, L Wang, ZH You, CQ Yu, ML Hu, BW Zhao, Y Li Briefings in Bioinformatics 25 (2), bbae020, 2024 | 17 | 2024 |
| KS-CMI: a circRNA-miRNA interaction prediction method based on the signed graph neural network and denoising autoencoder XF Wang, CQ Yu, ZH You, Y Qiao, ZW Li, WZ Huang, JR Zhou, HY Jin Iscience 26 (8), 2023 | 16 | 2023 |
| Lightweight multi-scale dilated U-Net for crop disease leaf image segmentation C Xu, C Yu, S Zhang Electronics 11 (23), 3947, 2022 | 15 | 2022 |
| Multi-scale convolution-capsule network for crop insect pest recognition C Xu, C Yu, S Zhang, X Wang Electronics 11 (10), 1630, 2022 | 14 | 2022 |
| DeepCMI: a graph-based model for accurate prediction of circRNA–miRNA interactions with multiple information YC Li, ZH You, CQ Yu, L Wang, L Hu, PW Hu, Y Qiao, XF Wang, ... Briefings in Functional Genomics 23 (3), 276-285, 2024 | 13 | 2024 |
| Apple leaf disease recognition method based on Siamese dilated Inception network with less training samples S Zhang, D Wang, C Yu Computers and Electronics in Agriculture 213, 108188, 2023 | 12 | 2023 |
| Remote sensing image classification based on RBF neural network based on fuzzy C-means clustering algorithm C Yu, L Wang, J Zhao, L Hao, Y Shen Journal of Intelligent & Fuzzy Systems 38 (4), 3567-3574, 2020 | 11 | 2020 |
Zhu-Hong YOU（尤著宏）Northwestern Polytechnical University (NPU)Adresse e-mail validée de ms.xjb.ac.cn