Wei Lan

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Jianxin WangSchool of Computer Science and Engineering, Central South universityVerified email at mail.csu.edu.cn
Yi PanShenzhen Institute of Advanced Technology, Chinese Academy of Sciences, ChinaVerified email at cs.gsu.edu
Jin Liu (刘锦)Associate Professor, School of Computer Science and Engineering, Central South UniversityVerified email at csu.edu.cn
FangXiang WUProfessor, University of SaskatchewanVerified email at usask.ca
Min LiSchool of Computer Science and Engineering, Central South UniversityVerified email at mail.csu.edu.cn
Wei PengKunming uninversity of science and technologyVerified email at kmust.edu.cn
Yi-Ping Phoebe ChenProfessor of Computer Science, La Trobe University, Melbourne, AustraliaVerified email at latrobe.edu.au
Ruiqing ZhengSchool of Computer Science and Engineering, Central South UniversityVerified email at csu.edu.cn
Shirui PanFull Professor, ARC Future Fellow, FQA, Director of TrustAGI Lab, Griffith UniversityVerified email at griffith.edu.au
Yaohang LiDepartment of Computer Science, Old Dominion UniversityVerified email at cs.odu.edu
Shichao ZhangGuangxi Normal UniversityVerified email at mailbox.gxnu.edu.cn
Xiujuan LeiSchool of Computer Science, Shaanxi Normal UniversityVerified email at snnu.edu.cn
Ning YuState University of New York College at BrockportVerified email at brockport.edu
Huiyu ZhouProfessor of Machine Learning, University of Leicester, UKVerified email at leicester.ac.uk
Chengqian LuXiangtan UniversityVerified email at xtu.edu.cn
Min ZengSchool of Computer Science and Engineering, Central South UniversityVerified email at csu.edu.cn
Xiaoqing PengCentral South UniversityVerified email at csu.edu.cn
Wilson Wen Bin GohLee Kong Chian School of Medicine, Nanyang Technological UniversityVerified email at ntu.edu.sg
Rasmani HazraUniversity of New HavenVerified email at newhaven.edu
B. M. Thosini KumarikaUniversity of KelaniyaVerified email at kln.ac.lk

Wei Lan

Guangxi University

Verified email at gxu.edu.cn - Homepage

Bioinformatics Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
LDAP: a web server for lncRNA-disease association prediction W Lan, M Li, K Zhao, J Liu, FX Wu, Y Pan, J Wang Bioinformatics 33 (3), 458-460, 2017	208	2017
Classification of Alzheimer's disease using whole brain hierarchical network J Liu, M Li, W Lan, FX Wu, Y Pan, J Wang IEEE/ACM transactions on computational biology and bioinformatics 15 (2 …, 2016	206	2016
Complex brain network analysis and its applications to brain disorders: a survey J Liu, M Li, Y Pan, W Lan, R Zheng, FX Wu, J Wang Complexity 2017 (1), 8362741, 2017	175	2017
Predicting microRNA-disease associations based on improved microRNA and disease similarities W Lan, J Wang, M Li, J Liu, FX Wu, Y Pan IEEE/ACM transactions on computational biology and bioinformatics 15 (6 …, 2018	133	2018
Predicting drug–target interaction using positive-unlabeled learning W Lan, J Wang, M Li, J Liu, Y Li, FX Wu, Y Pan Neurocomputing 206, 50-57, 2016	104	2016
DNRLMF-MDA: predicting microRNA-disease associations based on similarities of microRNAs and diseases C Yan, J Wang, P Ni, W Lan, FX Wu, Y Pan IEEE/ACM transactions on computational biology and bioinformatics 16 (1 …, 2017	79	2017
Computational approaches for prioritizing candidate disease genes based on PPI networks W Lan, J Wang, M Li, W Peng, F Wu Tsinghua Science and Technology 20 (5), 500-512, 2015	78	2015
Improved ASD classification using dynamic functional connectivity and multi-task feature selection J Liu, Y Sheng, W Lan, R Guo, Y Wang, J Wang Pattern Recognition Letters 138, 82-87, 2020	68	2020
GANLDA: graph attention network for lncRNA-disease associations prediction W Lan, X Wu, Q Chen, W Peng, J Wang, YP Chen Neurocomputing 469, 384-393, 2022	67	2022
LDICDL: LncRNA-disease association identification based on collaborative deep learning W Lan, D Lai, Q Chen, X Wu, B Chen, J Liu, J Wang, YPP Chen IEEE/ACM transactions on computational biology and bioinformatics 19 (3 …, 2022	66	2022
ILDMSF: inferring associations between long non-coding RNA and disease based on multi-similarity fusion Q Chen, D Lai, W Lan, X Wu, B Chen, J Liu, YPP Chen, J Wang IEEE/ACM transactions on computational biology and bioinformatics 18 (3 …, 2021	65	2021
A comprehensive survey on computational methods of non-coding RNA and disease association prediction X Lei, TB Mudiyanselage, Y Zhang, C Bian, W Lan, N Yu, Y Pan Briefings in Bioinformatics, 2020	51	2020
KGANCDA: predicting circRNA-disease associations based on knowledge graph attention network W Lan, Y Dong, Q Chen, R Zheng, J Liu, Y Pan, YPP Chen Briefings in Bioinformatics 23 (1), bbab494, 2022	50	2022
Inferring LncRNA-disease associations based on graph autoencoder matrix completion X Wu, W Lan, Q Chen, Y Dong, J Liu, W Peng Computational biology and chemistry 87, 107282, 2020	48	2020
Identification of early mild cognitive impairment using multi-modal data and graph convolutional networks J Liu, G Tan, W Lan, J Wang BMC Bioinformatics 21 (6), 1-12, 2020	38	2020
CircR2Cancer: a manually curated database of associations between circRNAs and cancers W Lan, M Zhu, Q Chen, B Chen, J Liu, M Li, YPP Chen Database 2020, baaa085, 2020	35	2020
IGNSCDA: predicting CircRNA-disease associations based on improved graph convolutional network and negative sampling W Lan, Y Dong, Q Chen, J Liu, J Wang, YPP Chen, S Pan IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (6 …, 2022	31	2022
A framework for integrating multiple biological networks to predict MicroRNA-disease associations W Peng, W Lan, Z Yu, J Wang, Y Pan IEEE transactions on nanobioscience 16 (2), 100-107, 2016	31	2016
GADTI: graph autoencoder approach for DTI prediction from heterogeneous network Z Liu, Q Chen, W Lan, H Pan, X Hao, S Pan Frontiers in Genetics 12, 650821, 2021	28	2021
A novel method of predicting microRNA-disease associations based on microRNA, disease, gene and environment factor networks W Peng, W Lan, J Zhong, J Wang, Y Pan Methods 124, 69-77, 2017	27	2017

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