2026 Wei Wang: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	70	1832	1773	932	895	417	27663

Overview

Wei Wang is affiliated with the University of California, Los Angeles in the United States. Their research portfolio spans Engineering and Computer Science, with 300 publications in Engineering and 171 in Computer Science. The subfields of study include Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, and Mechanical Engineering.

The scientist's work focuses on several main topics:

Microgrid Control and Optimization
Distributed Control Multi-Agent Systems
Neural Networks Stability and Synchronization
Fault Detection and Control Systems
Power Systems and Renewable Energy
Smart Grid Energy Management
Neural Networks and Applications

Wei Wang has collaborated frequently with several coauthors, including Jun Zhao, Dong Wang, Quanli Liu, Long Chen, and Zhongyang Han. These collaborations have resulted in multiple scholarly outputs.

Their research outputs have appeared in various academic venues. The most frequent publication outlets are:

arXiv (Cornell University)
IEEE Transactions on Instrumentation and Measurement
SSRN Electronic Journal
IEEE Transactions on Industrial Electronics
Information Sciences

Best Publications

A second generation human haplotype map of over 3.1 million SNPs

Kelly A. Frazer;Dennis G. Ballinger;David R. Cox;David A. Hinds

5383
Citations
STING: A Statistical Information Grid Approach to Spatial Data Mining

Wei Wang;Jiong Yang;Richard R. Muntz

2238
Citations
Efficient mining of frequent subgraphs in the presence of isomorphism

J. Huan;W. Wang;J. Prins

900
Citations
Fast computation of database operations using graphics processors

Naga K. Govindaraju;Brandon Lloyd;Wei Wang;Ming Lin

898
Citations
End-to-end encrypted traffic classification with one-dimensional convolution neural networks

Wei Wang;Ming Zhu;Jinlin Wang;Xuewen Zeng

827
Citations
Clustering by pattern similarity in large data sets

Haixun Wang;Wei Wang;Jiong Yang;Philip S. Yu

727
Citations
HAST-IDS: Learning Hierarchical Spatial-Temporal Features Using Deep Neural Networks to Improve Intrusion Detection

Wei Wang;Yiqiang Sheng;Jinlin Wang;Xuewen Zeng

645
Citations
Ranking outliers using symmetric neighborhood relationship

Wen Jin;Anthony K. H. Tung;Jiawei Han;Wei Wang

554
Citations
SPIN: mining maximal frequent subgraphs from graph databases

Jun Huan;Wei Wang;Jan Prins;Jiong Yang

477
Citations
/spl delta/-clusters: capturing subspace correlation in a large data set

Jiong Yang;Wei Wang;Haixun Wang;P. Yu

451
Citations
Enhanced biclustering on expression data

Jiong Yang;Haixun Wang;Wei Wang;P. Yu

435
Citations
Genetic analysis of complex traits in the emerging Collaborative Cross

David L. Aylor;William Valdar;Wendy Foulds-Mathes;Ryan J. Buus

399
Citations
Learning Gender-Neutral Word Embeddings

Jieyu Zhao;Yichao Zhou;Zeyu Li;Wei Wang

388
Citations
Efficient mining of weighted association rules (WAR)

Wei Wang;Jiong Yang;Philip S. Yu

371
Citations
Multifaceted protein-protein interaction prediction based on Siamese residual RCNN.

Muhao Chen;Chelsea J T Ju;Guangyu Zhou;Xuelu Chen

366
Citations
NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks

Wenchao Yu;Wei Cheng;Charu C. Aggarwal;Kai Zhang

353
Citations
Machine Learning and Integrative Analysis of Biomedical Big Data.

Bilal Mirza;Wei Wang;Jie Wang;Howard Choi

353
Citations
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation

Yunsheng Bai;Hao Ding;Song Bian;Ting Chen

339
Citations
Mining asynchronous periodic patterns in time series data

Jiong Yang;Wei Wang;P.S. Yu

331
Citations
Distributed sparse random projections for refinable approximation

Wei Wang;Minos Garofalakis;Kannan Ramchandran

281
Citations
Graph Database Indexing Using Structured Graph Decomposition

D. W. Williams;Jun Huan;Wei Wang

273
Citations
OP-cluster: clustering by tendency in high dimensional space

J. Liu;W. Wang

267
Citations

Frequent Co-Authors

Xiang Zhang University of Hong Kong

Yizhou Sun University of California, Los Angeles

Leonard McMillan University of North Carolina at Chapel Hill

Philip S. Yu University of Illinois at Chicago

Peipei Ping University of California, Los Angeles

Jan F. Prins University of North Carolina at Chapel Hill

Fernando Pardo-Manuel de Villena University of North Carolina at Chapel Hill

David W. Threadgill Texas A&M University

Richard R. Muntz University of California, Los Angeles

Alexander Tropsha University of North Carolina at Chapel Hill

External Links

Personal website of Wei Wang Google Scholar page

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