| Prediction of DNA-binding residues in proteins from amino acid sequences using a random forest model with a hybrid feature J Wu, H Liu, X Duan, Y Ding, H Wu, Y Bai, X Sun Bioinformatics 25 (1), 30-35, 2009 | 166 | 2009 |
| Genome-wide protein function prediction through multi-instance multi-label learning JS Wu, SJ Huang, ZH Zhou IEEE/ACM Transactions on Computational Biology and Bioinformatics 11 (5 …, 2014 | 101 | 2014 |
| Prediction of RNA‐binding residues in proteins from primary sequence using an enriched random forest model with a novel hybrid feature X Ma, J Guo, J Wu, H Liu, J Yu, J Xie, X Sun Proteins: Structure, Function, and Bioinformatics 79 (4), 1230-1239, 2011 | 75 | 2011 |
| Diagnostic model generated by MRI‐derived brain features in toddlers with autism spectrum disorder X Xiao, H Fang, J Wu, CY Xiao, T Xiao, L Qian, FJ Liang, Z Xiao, KK Chu, ... Autism Research 10 (4), 620-630, 2017 | 60 | 2017 |
| Accelerating autodock vina with gpus S Tang, R Chen, M Lin, Q Lin, Y Zhu, J Ding, H Hu, M Ling, J Wu Molecules 27 (9), 3041, 2022 | 52 | 2022 |
| WDL-RF: predicting bioactivities of ligand molecules acting with G protein-coupled receptors by combining weighted deep learning and random forest J Wu, Q Zhang, W Wu, T Pang, H Hu, WKB Chan, X Ke, Y Zhang Bioinformatics 34 (13), 2271-2282, 2018 | 43 | 2018 |
| Semi-supervised metric learning-based anchor graph hashing for large-scale image retrieval H Hu, K Wang, C Lv, J Wu, Z Yang IEEE Transactions on Image Processing 28 (2), 739-754, 2018 | 41 | 2018 |
| Sequence-based prediction of microRNA-binding residues in proteins using cost-sensitive Laplacian support vector machines JS Wu, ZH Zhou IEEE/ACM transactions on computational biology and bioinformatics 10 (3 …, 2013 | 32 | 2013 |
| Formation of Ag2S nanowires and Ag2S/CdS heterostructures via simple solvothermal route S Yan, K Shen, X Xu, Y Shi, J Wu, Z Xiao Synthetic metals 161 (15-16), 1646-1650, 2011 | 32 | 2011 |
| Characteristics of nucleosome core DNA and their applications in predicting nucleosome positions H Liu, J Wu, J Xie, X Yang, Z Lu, X Sun Biophysical Journal 94 (12), 4597-4604, 2008 | 32 | 2008 |
| Vina-GPU 2.0: further accelerating AutoDock Vina and its derivatives with graphics processing units J Ding, S Tang, Z Mei, L Wang, Q Huang, H Hu, M Ling, J Wu Journal of chemical information and modeling 63 (7), 1982-1998, 2023 | 30 | 2023 |
| Fabrication of a reversible SnS 2/RGO nanocomposite for high performance lithium storage S Yan, K Li, Z Lin, H Song, T Jiang, J Wu, Y Shi RSC advances 6 (38), 32414-32421, 2016 | 26 | 2016 |
| Hydrothermal synthesis of CdS/functionalized graphene sheets nanocomposites S Yan, Y Shi, B Zhao, T Lu, D Hu, X Xu, J Wu, J Chen Journal of alloys and compounds 570, 65-69, 2013 | 19 | 2013 |
| Identification of DNA-binding proteins using support vector machine with sequence information X Ma, J Wu, X Xue Computational and Mathematical Methods in Medicine 2013, 2013 | 19 | 2013 |
| Hydrothermal synthesis of CdS nanoparticle/functionalized graphene sheet nanocomposites for visible-light photocatalytic degradation of methyl orange S Yan, B Wang, Y Shi, F Yang, D Hu, X Xu, J Wu Applied surface science 285, 840-845, 2013 | 18 | 2013 |
| Disposable biosensor based on Au nanoparticles-modified CdS nanorod arrays for detection cytochrome c S Yan, X Xu, Y Sheng, H Sun, JS Wu, L Tang Journal of Nanoscience and Nanotechnology 11 (12), 10320-10323, 2011 | 17 | 2011 |
| SVM-based approach for predicting DNA-binding residues in proteins from amino acid sequences X Ma, JS Wu, HD Liu, XN Yang, JM Xie, X Sun 2009 International Joint Conference on Bioinformatics, Systems Biology and …, 2009 | 17 | 2009 |
| Precise modelling and interpretation of bioactivities of ligands targeting G protein-coupled receptors J Wu, B Liu, WKB Chan, W Wu, T Pang, H Hu, S Yan, X Ke, Y Zhang Bioinformatics 35 (14), i324-i332, 2019 | 16 | 2019 |
| Solution-based synthesis of ZnO nanoparticle/CdS nanowire heterostructure S Yan, D Hu, JS Wu, X Xu, J Wang, Z Xiao Journal of alloys and compounds 509 (24), L239-L243, 2011 | 15 | 2011 |
| Predicting conversion from mci to ad combining multi-modality data and based on molecular subtype HT Li, SX Yuan, JS Wu, Y Gu, X Sun Brain sciences 11 (6), 674, 2021 | 13 | 2021 |
Shancheng YanNanjing University of Posts and TelecommunicationsDirección de correo verificada de njupt.edu.cn
