| PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction ZH You, ZA Huang, Z Zhu, GY Yan, ZW Li, Z Wen, X Chen PLoS computational biology 13 (3), e1005455, 2017 | 382 | 2017 |
| In silico prediction of drug-target interaction networks based on drug chemical structure and protein sequences Z Li, P Han, ZH You, X Li, Y Zhang, H Yu, R Nie, X Chen Scientific reports 7 (1), 11174, 2017 | 94 | 2017 |
| A graph auto-encoder model for miRNA-disease associations prediction Z Li, J Li, R Nie, ZH You, W Bao Briefings in bioinformatics 22 (4), bbaa240, 2021 | 82 | 2021 |
| MLMDA: a machine learning approach to predict and validate MicroRNA–disease associations by integrating of heterogenous information sources K Zheng, ZH You, L Wang, Y Zhou, LP Li, ZW Li Journal of translational medicine 17, 1-14, 2019 | 82 | 2019 |
| DRMDA: deep representations‐based miRNA–disease association prediction X Chen, Y Gong, DH Zhang, ZH You, ZW Li Journal of cellular and molecular medicine 22 (1), 472-485, 2018 | 79 | 2018 |
| Dbmda: A unified embedding for sequence-based mirna similarity measure with applications to predict and validate mirna-disease associations K Zheng, ZH You, L Wang, Y Zhou, LP Li, ZW Li Molecular Therapy-Nucleic Acids 19, 602-611, 2020 | 52 | 2020 |
| Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM profile and discriminative vector machine classifier ZW Li, ZH You, X Chen, LP Li, DS Huang, GY Yan, R Nie, YA Huang Oncotarget 8 (14), 23638, 2017 | 38 | 2017 |
| Hierarchical graph attention network for miRNA-disease association prediction Z Li, T Zhong, D Huang, ZH You, R Nie Molecular Therapy 30 (4), 1775-1786, 2022 | 34 | 2022 |
| Highly accurate prediction of protein-protein interactions via incorporating evolutionary information and physicochemical characteristics ZW Li, ZH You, X Chen, J Gui, R Nie International journal of molecular sciences 17 (9), 1396, 2016 | 34 | 2016 |
| PRMDA: personalized recommendation-based MiRNA-disease association prediction ZH You, LP Wang, X Chen, S Zhang, XF Li, GY Yan, ZW Li Oncotarget 8 (49), 85568, 2017 | 29 | 2017 |
| iGRLCDA: identifying circRNA–disease association based on graph representation learning HY Zhang, L Wang, ZH You, L Hu, BW Zhao, ZW Li, YM Li Briefings in Bioinformatics 23 (3), bbac083, 2022 | 28 | 2022 |
| Identification of self-interacting proteins by exploring evolutionary information embedded in PSI-BLAST-constructed position specific scoring matrix JY An, ZH You, X Chen, DS Huang, ZW Li, G Liu, Y Wang Oncotarget 7 (50), 82440, 2016 | 27 | 2016 |
| Predicting miRNA–disease associations based on graph random propagation network and attention network T Zhong, Z Li, ZH You, R Nie, H Zhao Briefings in Bioinformatics 23 (2), bbab589, 2022 | 25 | 2022 |
| SPRDA: a link prediction approach based on the structural perturbation to infer disease-associated Piwi-interacting RNAs K Zheng, XL Zhang, L Wang, ZH You, BY Ji, X Liang, ZW Li Briefings in Bioinformatics 24 (1), bbac498, 2023 | 24 | 2023 |
| A machine learning framework based on multi-source feature fusion for circRNA-disease association prediction L Wang, L Wong, Z Li, Y Huang, X Su, B Zhao, Z You Briefings in Bioinformatics 23 (5), bbac388, 2022 | 24 | 2022 |
| Prediction of potential miRNA-disease associations using matrix decomposition and label propagation J Qu, X Chen, J Yin, Y Zhao, ZW Li Knowledge-Based Systems 186, 104963, 2019 | 24 | 2019 |
| Predicting MiRNA-disease associations by multiple meta-paths fusion graph embedding model L Zhang, B Liu, Z Li, X Zhu, Z Liang, J An BMC bioinformatics 21, 1-19, 2020 | 23 | 2020 |
| FCGCNMDA: predicting miRNA-disease associations by applying fully connected graph convolutional networks J Li, Z Li, R Nie, Z You, W Bao Molecular Genetics and Genomics 295 (5), 1197-1209, 2020 | 23 | 2020 |
| CMSENN: computational modification sites with ensemble neural network W Bao, B Yang, D Li, Z Li, Y Zhou, R Bao Chemometrics and Intelligent Laboratory Systems 185, 65-72, 2019 | 23 | 2019 |
| Combined embedding model for MiRNA-disease association prediction B Liu, X Zhu, L Zhang, Z Liang, Z Li BMC bioinformatics 22, 1-22, 2021 | 18 | 2021 |
