Hong-Bin Shen
2003–2026 年に発表
- 別表記
- Hong‐Bin Shen
- 207
- 論文数
- 18,142
- 被引用数
- 72
- h 指数
- 156
- i10 指数
被引用数
引用元
国・地域
機関
分野
- Biochemistry, Genetics and Molecular Biology65%
- Computer Science18.3%
- Agricultural and Biological Sciences4.7%
- Medicine2.9%
- Neuroscience2.9%
- Engineering1.8%
- その他4.4%
トピック
- Machine Learning in Bioinformatics13.7%
- RNA and protein synthesis mechanisms7.6%
- Protein Structure and Dynamics5.5%
- Genomics and Phylogenetic Studies4.9%
- Computational Drug Discovery Methods4.6%
- Bioinformatics and Genomic Networks3.3%
- その他60.4%
共著者
全論文
- Cell clustering for spatial transcriptomics data with graph neural networks
著者: Jiachen Li, Siheng Chen, Xiaoyong Pan, Ye Yuan, Hong-Bin Shen - Nature Computational Science, Nat. Comput. Sci. 2022 被引用: 225
- Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization
著者: Kuo‐Chen Chou, Hong‐Bin Shen - PLoS ONE 2010 被引用: 1,223
- GraphBind: protein structural context embedded rules learned by hierarchical graph neural networks for recognizing nucleic-acid-binding residues
著者: Ying Xia, Chunqiu Xia, Xiaoyong Pan, Hong‐Bin Shen - Nucleic Acids Research 2021 被引用: 180
- Deep Multi-View Feature Learning for EEG-Based Epileptic Seizure Detection
著者: Xiaobin Tian, Zhaohong Deng, Wenhao Ying, Kup‐Sze Choi, Dongrui Wu, Bin Qin, Jun Wang, Hong‐Bin Shen, Shitong Wang - IEEE Transactions on Neural Systems and Rehabilitation Engineering 2019 被引用: 195
- Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms
著者: Kuo‐Chen Chou, Hong‐Bin Shen - Nature Protocols 2008 被引用: 1,229
- The lncLocator: a subcellular localization predictor for long non-coding RNAs based on a stacked ensemble classifier
著者: Zhen Cao, Xiaoyong Pan, Yang Yang, Yan Huang, Hong-Bin Shen - Bioinformatics, Bioinform. 2018 被引用: 428
- ZeroBind: a protein-specific zero-shot predictor with subgraph matching for drug-target interactions
著者: Yuxuan Wang, Ying Xia, Junchi Yan, Ye Yuan, Hong‐Bin Shen, Xiaoyong Pan - Nature Communications 2023 被引用: 60
- ToxDL: deep learning using primary structure and domain embeddings for assessing protein toxicity
著者: Xiaoyong Pan, Jasper Zuallaert, Xi Wang, Hong-Bin Shen, Elda Posada Campos, Denys O. Marushchak, Wesley De Neve - Bioinformatics, Bioinform. 2020 被引用: 104
- RBPsuite: RNA-protein binding sites prediction suite based on deep learning
著者: Xiaoyong Pan, Yi Fang, Xianfeng Li, Yang Yang, Hong‐Bin Shen - BMC Genomics 2020 被引用: 118
- PseAAC: A flexible web server for generating various kinds of protein pseudo amino acid composition
著者: Hong‐Bin Shen, Kuo‐Chen Chou - Analytical Biochemistry 2007 被引用: 436
- Designing Template-Free Predictor for Targeting Protein-Ligand Binding Sites with Classifier Ensemble and Spatial Clustering
著者: Dong-Jun Yu, Jun Hu, Jing Yang, Hong-Bin Shen, Jinhui Tang, Jing-Yu Yang - IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE ACM Trans. Comput. Biol. Bioinform. 2013 被引用: 151
- CRIP: predicting circRNA–RBP-binding sites using a codon-based encoding and hybrid deep neural networks
著者: Kaiming Zhang, Xiaoyong Pan, Yang Yang, Hong‐Bin Shen - RNA 2019 被引用: 106
- De novodrug design by iterative multiobjective deep reinforcement learning with graph-based molecular quality assessment
著者: Yi Fang, Xiaoyong Pan, Hong-Bin Shen - Bioinformatics, Bioinform. 2023 被引用: 42
- Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks
著者: Xiaoyong Pan, Peter Rijnbeek, Junchi Yan, Hong‐Bin Shen - BMC Genomics 2018 被引用: 267
- Large-Scale Prediction of Human Protein−Protein Interactions from Amino Acid Sequence Based on Latent Topic Features
著者: Xiaoyong Pan, Yanan Zhang, Hong‐Bin Shen - Journal of Proteome Research 2010 被引用: 227
- Predicting RNA-protein binding sites and motifs through combining local and global deep convolutional neural networks
著者: Xiaoyong Pan, Hong-Bin Shen - Bioinformatics, Bioinform. 2018 被引用: 200
- lncLocator 2.0: a cell-line-specific subcellular localization predictor for long non-coding RNAs with interpretable deep learning
著者: Yang Lin, Xiaoyong Pan, Hong-Bin Shen - Bioinformatics, Bioinform. 2021 被引用: 118
- Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-Based Features and Boosting Multiple SVMs
著者: Jun Hu, Yang Li, Ming Zhang, Xibei Yang, Hong-Bin Shen, Dong-Jun Yu - IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE ACM Trans. Comput. Biol. Bioinform. 2016 被引用: 107
- IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction
著者: Xiaoyong Pan, Yongxian Fan, Junchi Yan, Hong‐Bin Shen - BMC Genomics 2016 被引用: 174
- Protein-ligand binding residue prediction enhancement through hybrid deep heterogeneous learning of sequence and structure data
著者: Chun-Qiu Xia, Xiaoyong Pan, Hong-Bin Shen - Bioinformatics, Bioinform. 2020 被引用: 75
- Protein-protein interaction sites prediction by ensembling SVM and sample-weighted random forests
著者: Zhisen Wei, Ke Han, Jing-Yu Yang, Hong-Bin Shen, Dong-Jun Yu - Neurocomputing 2016 被引用: 136
- MINDG: a drug-target interaction prediction method based on an integrated learning algorithm
著者: Hailong Yang, Yue Chen, Yun Zuo, Zhaohong Deng, Xiaoyong Pan, Hong-Bin Shen, Kup-Sze Choi, Dong-Jun Yu - Bioinformatics, Bioinform. 2024 被引用: 23
- TFvelo: gene regulation inspired RNA velocity estimation
著者: Jiachen Li, Xiaoyong Pan, Ye Yuan, Hong‐Bin Shen - Nature Communications 2024 被引用: 40
- Accurate inference of gene regulatory interactions from spatial gene expression with deep contrastive learning
著者: Lujing Zheng, Zhenhuan Liu, Yang Yang, Hong-Bin Shen - Bioinformatics, Bioinform. 2021 被引用: 28