| dbCAN2: a meta server for automated carbohydrate-active enzyme annotation H Zhang, T Yohe, L Huang, S Entwistle, P Wu, Z Yang, PK Busk, Y Xu, ... Nucleic acids research 46 (W1), W95-W101, 2018 | 2216 | 2018 |
| Multiview clustering: A scalable and parameter-free bipartite graph fusion method X Li, H Zhang, R Wang, F Nie IEEE transactions on pattern analysis and machine intelligence 44 (1), 330-344, 2020 | 466 | 2020 |
| Gene expression value prediction based on XGBoost algorithm W Li, Y Yin, X Quan, H Zhang Frontiers in genetics 10, 1077, 2019 | 369 | 2019 |
| dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation L Huang, H Zhang, P Wu, S Entwistle, X Li, T Yohe, H Yi, Z Yang, Y Yin Nucleic Acids Research 46 (D1), D516-D521, 2018 | 310 | 2018 |
| Generalized uncorrelated regression with adaptive graph for unsupervised feature selection X Li, H Zhang, R Zhang, Y Liu, F Nie IEEE transactions on neural networks and learning systems 30 (5), 1587-1595, 2018 | 206 | 2018 |
| A representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associations Z Shi, H Zhang, C Jin, X Quan, Y Yin BMC bioinformatics 22 (1), 136, 2021 | 99 | 2021 |
| Antimicrobial peptide identification using multi-scale convolutional network X Su, J Xu, Y Yin, X Quan, H Zhang BMC bioinformatics 20 (1), 730, 2019 | 96 | 2019 |
| Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection H Zhang, D Wu, F Nie, R Wang, X Li Information Fusion 70, 129-140, 2021 | 88 | 2021 |
| AcrFinder: genome mining anti-CRISPR operons in prokaryotes and their viruses H Yi, L Huang, B Yang, J Gomez, H Zhang, Y Yin Nucleic acids research 48 (W1), W358-W365, 2020 | 79 | 2020 |
| LR-GNN: A graph neural network based on link representation for predicting molecular associations C Kang, H Zhang, Z Liu, S Huang, Y Yin Briefings in Bioinformatics 23 (1), bbab513, 2022 | 77 | 2022 |
| Discriminative and uncorrelated feature selection with constrained spectral analysis in unsupervised learning X Li, H Zhang, R Zhang, F Nie IEEE Transactions on Image Processing 29, 2139-2149, 2019 | 77 | 2019 |
| Predicting miRNA-disease association based on neural inductive matrix completion with graph autoencoders and self-attention mechanism C Jin, Z Shi, K Lin, H Zhang Biomolecules 12 (1), 64, 2022 | 60 | 2022 |
| Genomic arrangement of bacterial operons is constrained by biological pathways encoded in the genome Y Yin, H Zhang, V Olman, Y Xu Proceedings of the National Academy of Sciences 107 (14), 6310-6315, 2010 | 54 | 2010 |
| eCAMI: simultaneous classification and motif identification for enzyme annotation J Xu, H Zhang, J Zheng, P Dovoedo, Y Yin Bioinformatics 36 (7), 2068-2075, 2020 | 47 | 2020 |
| The percentage of bacterial genes on leading versus lagging strands is influenced by multiple balancing forces X Mao, H Zhang, Y Yin, Y Xu Nucleic acids research 40 (17), 8210-8218, 2012 | 45 | 2012 |
| One way hash function construction based on spatiotemporal chaos H Zhang, XF Wang, ZH Li, DH Liu | 35 | 2005 |
| Genomic arrangement of regulons in bacterial genomes H Zhang, Y Yin, V Olman, Y Xu PLoS One 7 (1), e29496, 2012 | 29 | 2012 |
| Computational analyses of transcriptomic data reveal the dynamic organization of the Escherichia coli chromosome under different conditions Q Ma, Y Yin, MA Schell, H Zhang, G Li, Y Xu Nucleic acids research 41 (11), 5594-5603, 2013 | 28 | 2013 |
| Predicting lncRNA-protein interactions based on graph autoencoders and collaborative training C Jin, Z Shi, H Zhang, Y Yin 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 27 | 2021 |
| ATTCry: Attention-based neural network model for protein crystallization prediction C Jin, J Gao, Z Shi, H Zhang Neurocomputing 463, 265-274, 2021 | 27 | 2021 |
