| Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records L Huang, AL Shea, H Qian, A Masurkar, H Deng, D Liu Journal of biomedical informatics 99, 103291, 2019 | 462 | 2019 |
| MDHGI: matrix decomposition and heterogeneous graph inference for miRNA-disease association prediction X Chen, J Yin, J Qu, L Huang PLoS computational biology 14 (8), e1006418, 2018 | 331 | 2018 |
| EGBMMDA: extreme gradient boosting machine for MiRNA-disease association prediction X Chen, L Huang, D Xie, Q Zhao Cell death & disease 9 (1), 3, 2018 | 275 | 2018 |
| LoAdaBoost: Loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data L Huang, Y Yin, Z Fu, S Zhang, H Deng, D Liu Plos one 15 (4), e0230706, 2020 | 254 | 2020 |
| LRSSLMDA: Laplacian regularized sparse subspace learning for MiRNA-disease association prediction X Chen, L Huang PLoS computational biology 13 (12), e1005912, 2017 | 233 | 2017 |
| Identification of miRNA–disease associations via deep forest ensemble learning based on autoencoder W Liu, H Lin, L Huang, L Peng, T Tang, Q Zhao, L Yang Briefings in Bioinformatics 23 (3), bbac104, 2022 | 97 | 2022 |
| Updated review of advances in microRNAs and complex diseases: taxonomy, trends and challenges of computational models L Huang, L Zhang, X Chen Briefings in bioinformatics 23 (5), bbac358, 2022 | 92 | 2022 |
| Updated review of advances in microRNAs and complex diseases: towards systematic evaluation of computational models L Huang, L Zhang, X Chen Briefings in bioinformatics 23 (6), bbac407, 2022 | 74 | 2022 |
| Updated review of advances in microRNAs and complex diseases: experimental results, databases, webservers and data fusion L Huang, L Zhang, X Chen Briefings in bioinformatics 23 (6), bbac397, 2022 | 70 | 2022 |
| Cell–cell communication inference and analysis in the tumour microenvironments from single-cell transcriptomics: data resources and computational strategies L Peng, F Wang, Z Wang, J Tan, L Huang, X Tian, G Liu, L Zhou Briefings in bioinformatics 23 (4), bbac234, 2022 | 70 | 2022 |
| VDA-RWLRLS: An anti-SARS-CoV-2 drug prioritizing framework combining an unbalanced bi-random walk and Laplacian regularized least squares L Shen, F Liu, L Huang, G Liu, L Zhou, L Peng Computers in biology and medicine 140, 105119, 2022 | 62 | 2022 |
| Prediction of potential miRNA–disease associations based on stacked autoencoder CC Wang, TH Li, L Huang, X Chen Briefings in bioinformatics 23 (2), bbac021, 2022 | 57 | 2022 |
| RNMFLP: predicting circRNA–disease associations based on robust nonnegative matrix factorization and label propagation L Peng, C Yang, L Huang, X Chen, X Fu, W Liu Briefings in bioinformatics 23 (5), bbac155, 2022 | 55 | 2022 |
| DAESTB: inferring associations of small molecule–miRNA via a scalable tree boosting model based on deep autoencoder L Peng, Y Tu, L Huang, Y Li, X Fu, X Chen Briefings in Bioinformatics 23 (6), bbac478, 2022 | 38 | 2022 |
| NDAMDA: Network distance analysis for Mi RNA‐disease association prediction X Chen, LY Wang, L Huang Journal of Cellular and Molecular Medicine 22 (5), 2884-2895, 2018 | 34 | 2018 |
| Dual-network collaborative matrix factorization for predicting small molecule-miRNA associations SH Wang, CC Wang, L Huang, LY Miao, X Chen Briefings in Bioinformatics 23 (1), bbab500, 2022 | 29 | 2022 |
| MCFF-MTDDI: multi-channel feature fusion for multi-typed drug–drug interaction prediction CD Han, CC Wang, L Huang, X Chen Briefings in Bioinformatics 24 (4), bbad215, 2023 | 28 | 2023 |
| SPEED: single-cell pan-species atlas in the light of ecology and evolution for development and diseases Y Chen, X Zhang, X Peng, Y Jin, P Ding, J Xiao, C Li, F Wang, A Chang, ... Nucleic acids research 51 (D1), D1150-D1159, 2023 | 19 | 2023 |
| Reviewing and reflecting on smart home research from the human-centered perspective Y Yao, L Huang, Y He, Z Ma, X Xu, H Mi Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 14 | 2023 |
| Computational model for ncRNA research X Chen, L Huang Briefings in Bioinformatics 23 (6), bbac472, 2022 | 14 | 2022 |