| HGIMDA: Heterogeneous graph inference for miRNA-disease association prediction X Chen, CC Yan, X Zhang, ZH You, YA Huang, GY Yan Oncotarget 7 (40), 65257, 2016 | 216 | 2016 |
| A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases X Chen, YA Huang, ZH You, GY Yan, XS Wang Bioinformatics 33 (5), 733-739, 2017 | 213 | 2017 |
| Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding YA Huang, ZH You, X Chen, K Chan, X Luo BMC bioinformatics 17, 1-11, 2016 | 147 | 2016 |
| ILNCSIM: improved lncRNA functional similarity calculation model YA Huang, X Chen, ZH You, DS Huang, KCC Chan Oncotarget 7 (18), 25902, 2016 | 124 | 2016 |
| Using weighted sparse representation model combined with discrete cosine transformation to predict protein-protein interactions from protein sequence YA Huang, ZH You, X Gao, L Wong, L Wang BioMed research international 2015, 2015 | 119 | 2015 |
| A survey on computational models for predicting protein–protein interactions L Hu, X Wang, YA Huang, P Hu, ZH You Briefings in bioinformatics 22 (5), bbab036, 2021 | 116 | 2021 |
| An efficient approach based on multi-sources information to predict circRNA–disease associations using deep convolutional neural network L Wang, ZH You, YA Huang, DS Huang, KCC Chan Bioinformatics 36 (13), 4038-4046, 2020 | 115 | 2020 |
| GCNCDA: a new method for predicting circRNA-disease associations based on graph convolutional network algorithm L Wang, ZH You, YM Li, K Zheng, YA Huang PLOS Computational Biology 16 (5), e1007568, 2020 | 106 | 2020 |
| FMLNCSIM: fuzzy measure-based lncRNA functional similarity calculation model X Chen, YA Huang, XS Wang, ZH You, KCC Chan Oncotarget 7 (29), 45948, 2016 | 102 | 2016 |
| Constructing prediction models from expression profiles for large scale lncRNA–miRNA interaction profiling YA Huang, KCC Chan, ZH You Bioinformatics 34 (5), 812-819, 2018 | 101 | 2018 |
| Graph convolution for predicting associations between miRNA and drug resistance Y Huang, P Hu, KCC Chan, ZH You Bioinformatics 36 (3), 851-858, 2020 | 90 | 2020 |
| A systematic prediction of drug-target interactions using molecular fingerprints and protein sequences YA Huang, ZH You, X Chen Current Protein and Peptide Science 19 (5), 468-478, 2018 | 87 | 2018 |
| Prediction of microbe–disease association from the integration of neighbor and graph with collaborative recommendation model YA Huang, ZH You, X Chen, ZA Huang, S Zhang, GY Yan Journal of translational medicine 15, 1-11, 2017 | 83 | 2017 |
| Detection of protein-protein interactions from amino acid sequences using a rotation forest model with a novel PR-LPQ descriptor L Wong, ZH You, S Li, YA Huang, G Liu Advanced Intelligent Computing Theories and Applications: 11th International …, 2015 | 77 | 2015 |
| iCDA-CGR: Identification of circRNA-disease associations based on Chaos Game Representation K Zheng, ZH You, JQ Li, L Wang, ZH Guo, YA Huang PLoS Computational Biology 16 (5), e1007872, 2020 | 66 | 2020 |
| IMS-CDA: prediction of CircRNA-disease associations from the integration of multisource similarity information with deep stacked autoencoder model L Wang, ZH You, JQ Li, YA Huang IEEE transactions on cybernetics 51 (11), 5522-5531, 2020 | 56 | 2020 |
| Detection of interactions between proteins through rotation forest and local phase quantization descriptors L Wong, ZH You, Z Ming, J Li, X Chen, YA Huang International journal of molecular sciences 17 (1), 21, 2015 | 51 | 2015 |
| Plant species recognition methods using leaf image: Overview S Zhang, W Huang, Y Huang, C Zhang Neurocomputing 408, 246-272, 2020 | 48 | 2020 |
| 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 | 46 | 2019 |
| Construction of reliable protein–protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features YA Huang, ZH You, X Li, X Chen, P Hu, S Li, X Luo Neurocomputing 218, 131-138, 2016 | 46 | 2016 |
