| Predicting essential genes and proteins based on machine learning and network topological features: a comprehensive review X Zhang, ML Acencio, N Lemke Frontiers in physiology 7, 75, 2016 | 98 | 2016 |
| A new method for the discovery of essential proteins X Zhang, J Xu, W Xiao PloS one 8 (3), e58763, 2013 | 91 | 2013 |
| DeepHE: Accurately predicting human essential genes based on deep learning X Zhang, W Xiao, W Xiao PLOS Computational Biology 16 (9), e1008229, 2020 | 47 | 2020 |
| A xenograft and cell line model of SDH-deficient pheochromocytoma derived from Sdhb+/− rats JF Powers, B Cochran, JD Baleja, HD Sikes, AD Pattison, X Zhang, ... Endocrine-Related Cancer 27 (6), 337-354, 2020 | 34 | 2020 |
| 小波变换的自适应阈值图像边缘检测方法 张宏群， 张雪， 肖旺新 红外与激光工程 32 (1), 32-36, 2003 | 34* | 2003 |
| Predicting essential proteins by integrating orthology, gene expressions, and PPI networks X Zhang, W Xiao, X Hu PloS one 13 (4), e0195410, 2018 | 32 | 2018 |
| Dietary αcyclodextrin reduces atherosclerosis and modifies gut flora in apolipoprotein Edeficient mice T Sakurai, A Sakurai, Y Chen, BL Vaisman, MJ Amar, M Pryor, ... Molecular nutrition & food research 61 (8), 1600804, 2017 | 30 | 2017 |
| A systems biology approach to investigating sex differences in cardiac hypertrophy J Harrington, N Fillmore, S Gao, Y Yang, X Zhang, P Liu, A Stoehr, ... Journal of the American Heart Association 6 (8), e005838, 2017 | 23 | 2017 |
| Clustering based Two-Stage Text Classification Requiring Minimal Training Data X Zhang, W Xiao Computer Science and Information Systems (ComSIS) 9 (4), 1629-1645, 2012 | 21 | 2012 |
| Impaired angiogenesis and extracellular matrix metabolism in autosomal-dominant hyper-IgE syndrome NI Dmitrieva, AD Walts, A Grubb, X Zhang, X Wang, X Ping, H Jin, Z Yu, ... The Journal of Clinical Investigation 130 (8), 4167-4181, 2020 | 19 | 2020 |
| An adaptive user profile based on memory model D Wu, D Zhao, X Zhang 2008 The Ninth International Conference on Web-Age Information Management …, 2008 | 18 | 2008 |
| 视频交通图像自适应阈值边缘检测 肖旺新， 张雪， 黄卫 交通运输工程学报 3 (4), 104-107, 2003 | 18* | 2003 |
| An ensemble framework for identifying essential proteins X Zhang, W Xiao, ML Acencio, N Lemke, X Wang BMC bioinformatics 17, 322, 2016 | 15 | 2016 |
| Pavement distress image automatic classification based on density-based neural network W Xiao, X Yan, X Zhang International Conference on Rough Sets and Knowledge Technology, 685-692, 2006 | 15 | 2006 |
| A unique model for SDH-deficient GIST: an endocrine-related cancer JF Powers, B Cochran, JD Baleja, HD Sikes, X Zhang, I Lomakin, ... Endocrine-related cancer 25 (11), 943-954, 2018 | 12 | 2018 |
| 基于破损密度因子的路面破损识别新方法 肖旺新， 张雪， 黄卫 交通运输工程与信息学报 2 (2), 82-89, 2004 | 12 | 2004 |
| 用二次 B 样条小波进行图像的自适应阈值边缘检测 张雪， 肖旺新， 吴坚， 吴斌 红外技术 25 (1), 19-24, 2003 | 11 | 2003 |
| 路面破损自动识别的一种新算法 肖旺新， 张雪， 黄卫， 严新平 公路交通科技 22 (11), 75-78, 2005 | 10 | 2005 |
| Peptide affinity analysis of proteins that bind to an unstructured NH2-terminal region of the osmoprotective transcription factor NFAT5 JF DuMond, K Ramkissoon, X Zhang, Y Izumi, X Wang, K Eguchi, S Gao, ... Physiological genomics 48 (4), 290-305, 2016 | 9 | 2016 |
| Batch mode active learning based multi-view text classification X Zhang, D Zhao, L Chen, W Min 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery …, 2009 | 9 | 2009 |
Ney LemkeProfessor of Physics and Biophysics, IBB, Unesp在 ibb.unesp.br 的电子邮件经过验证
