Xiangxiang Zeng 个人学术档案

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	总计	2019 年至今
引用	11851	9637
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i10 指数	139	131

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xingyi zhangAnhui University在 ahu.edu.cn 的电子邮件经过验证
Yuansheng LiuDepartment of Computer Science, Hunan University在 hnu.edu.cn 的电子邮件经过验证
Dong-Sheng Cao (曹东升)Professor of Xiangya School of Pharmaceutical Science Central South University China在 csu.edu.cn 的电子邮件经过验证
Bosheng SongAssociate Professor, Hunan University在 hnu.edu.cn 的电子邮件经过验证
Alfonso Rodríguez-PatónCatedrático. Universidad Politécnica de Madrid (UPM)在 fi.upm.es 的电子邮件经过验证
Ruth NussinovProfessor and Senior Principal Investigator, National Cancer Institute and Tel Aviv University在 post.tau.ac.il 的电子邮件经过验证
Xuan Lin (林轩)School of Computer Science, Xiangtan University在 xtu.edu.cn 的电子邮件经过验证
Francis George CabarleDept. of Computer Science, University of the Philippines Diliman在 up.edu.ph 的电子邮件经过验证
Henry N. AdornaDepartment of Computer Science (Automata, Computability, and Logic) Uni of the Philippines, Diliman在 dcs.upd.edu.ph 的电子邮件经过验证
Min JIANG 江敏Professor, Xiamen University在 xmu.edu.cn 的电子邮件经过验证
Tengfei Ma (马腾飞)School of Computer Science and Engineering, Hunan University在 hnu.edu.cn 的电子邮件经过验证
Xuan Zhang （张璇）Victor Chang Cardiac Research Institute在 victorchang.edu.au 的电子邮件经过验证
Mario J. Pérez-JiménezUniversidad de Sevilla在 us.es 的电子邮件经过验证
YEN Gary GOklahoma State University在 okstate.edu 的电子邮件经过验证
Pan ZhengInformation Systems, University of Canterbury在 canterbury.ac.nz 的电子邮件经过验证
Miguel Ángel Martínez-del-AmorUniversidad de Sevilla在 us.es 的电子邮件经过验证
Tao Li (李涛)Florida International University在 cs.fiu.edu 的电子邮件经过验证
Luis Valencia CabreraUniversidad de Sevilla在 us.es 的电子邮件经过验证
Gaoshan DengComputer Science Department, University of Southern California在 usc.edu 的电子邮件经过验证
Alberto LeporatiDipartimento di Informatica, Sistemistica e Comunicazione, Università degli Studi di Milano-Bicocca在 unimib.it 的电子邮件经过验证

关注

Xiangxiang Zeng

Deparment of Computer Science, Hunan University

在 hnu.edu.cn 的电子邮件经过验证

Computational Intelligence AI4Science AI for Drug Discovery


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties G Xiong, Z Wu, J Yi, L Fu, Z Yang, C Hsieh, M Yin, X Zeng, C Wu, A Lu, ... Nucleic acids research 49 (W1), W5-W14, 2021	1263	2021
deepDR: a network-based deep learning approach to in silico drug repositioning X Zeng, S Zhu, X Liu, Y Zhou, R Nussinov, F Cheng Bioinformatics 35 (24), 5191-5198, 2019	390	2019
A comprehensive overview and evaluation of circular RNA detection tools X Zeng, W Lin, M Guo, Q Zou PLoS computational biology 13 (6), e1005420, 2017	356	2017
Integrative approaches for predicting microRNA function and prioritizing disease-related microRNA using biological interaction networks X Zeng, X Zhang, Q Zou Briefings in bioinformatics 17 (2), 193–203, 2016	351	2016
Inferring microRNA-disease associations by random walk on a heterogeneous network with multiple data sources Y Liu, X Zeng, Z He, Q Zou IEEE/ACM Transactions on Computational Biology and Bioinformatics 14 (4 …, 2017	293	2017
KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction X Lin, Z Quan, ZJ Wang, T Ma, X Zeng IJCAI, 2020	283	2020
Similarity computation strategies in the microRNA-disease network: a survey Q Zou, J Li, L Song, X Zeng, G Wang Briefings in functional genomics 15 (1), 55-64, 2016	266	2016
Target identification among known drugs by deep learning from heterogeneous networks X Zeng, S Zhu, W Lu, Z Liu, J Huang, Y Zhou, J Fang, Y Huang, H Guo, ... Chemical Science 11 (7), 1775-1797, 2020	256	2020
Sequence clustering in bioinformatics: an empirical study Q Zou, G Lin, X Jiang, X Liu, X Zeng Briefings in bioinformatics 21 (1), 1-10, 2020	234	2020
Prediction of potential disease-associated microRNAs using structural perturbation method X Zeng, L Liu, L Lü, Q Zou Bioinformatics, bty112, 2018	230	2018
Prediction and validation of disease genes using HeteSim Scores X ZENG, Y LIAO, Q Zou IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017	223	2017
Repurpose open data to discover therapeutics for COVID-19 using deep learning X Zeng, X Song, T Ma, X Pan, Y Zhou, Y Hou, Z Zhang, K Li, G Karypis, ... Journal of proteome research 19 (11), 4624-4636, 2020	222	2020
nDNA-prot: identification of DNA-binding proteins based on unbalanced classification L Song, D Li, X Zeng, Y Wu, L Guo, Q Zou BMC bioinformatics 15, 1-10, 2014	186	2014
Toward better drug discovery with knowledge graph X Zeng, X Tu, Y Liu, X Fu, Y Su Current opinion in structural biology 72, 114-126, 2022	172	2022
Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy Q Zou, S Wan, Y Ju, J Tang, X Zeng BMC systems biology 10, 401-412, 2016	163	2016
Deterministic solutions to QSAT and Q3SAT by spiking neural P systems with pre-computed resources TO Ishdorj, A Leporati, L Pan, X Zeng, X Zhang Theoretical Computer Science 411 (25), 2345-2358, 2010	160	2010
Application of deep learning methods in biological networks S Jin, X Zeng, F Xia, W Huang, X Liu Briefings in bioinformatics 22 (2), 1902-1917, 2021	146	2021
Identifying enhancer–promoter interactions with neural network based on pre-trained DNA vectors and attention mechanism Z Hong, X Zeng, L Wei, X Liu Bioinformatics 36 (4), 1037-1043, 2020	140	2020
Meta-path methods for prioritizing candidate disease miRNAs X Zhang, Q Zou, A Rodriguez-Paton, X Zeng IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2019	138	2019
Spiking neural P systems with thresholds X Zeng, X Zhang, T Song, L Pan Neural computation 26 (7), 1340-1361, 2014	136	2014

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