2026 Lei Tang: 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	32	12889	12510	5200	4960	94	8585

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

12889

12510

5200

4960

8585

Overview

Lei Tang is affiliated with the Association for Computing Machinery in the United States. Their research spans primarily the fields of Engineering and Computer Science, with notable contributions to multiple subfields including Computer Vision and Pattern Recognition, Materials Chemistry, Artificial Intelligence, Electrical and Electronic Engineering, and Automotive Engineering.

The scientist's main research topics encompass Advanced Neural Network Applications, Transportation and Mobility Innovations, Advanced Image Processing Techniques, 2D Materials and Applications, MXene and MAX Phase Materials, Human Mobility and Location-Based Analysis, and Image Enhancement Techniques.

Lei Tang has published work in several frequent venues, including:

Nature Methods
SSRN Electronic Journal
Journal of Physics Conference Series
arXiv (Cornell University)
Neurocomputing

Recent notable papers by Lei Tang include:

p-Type Two-Dimensional Semiconductors: From Materials Preparation to Electronic Applications, 2023, Nano-Micro Letters
Attention adjacency matrix based graph convolutional networks for skeleton-based action recognition, 2021, Neurocomputing
A NIR-II light-modulated injectable self-healing hydrogel for synergistic photothermal/chemodynamic/chemo-therapy of melanoma and wound healing promotion, 2022, Journal of Materials Chemistry B
RETRACTED: Sports image detection based on particle swarm optimization algorithm, 2020, Microprocessors and Microsystems
Learning noise-decoupled affine models for extreme low-light image enhancement, 2021, Neurocomputing

Frequent collaborators include Hangzai Luo, Zongtao Duan, Jinye Peng, Sheng Zhong, and Junchi Ma. These coauthors have worked with Lei Tang on numerous publications, reflecting ongoing research partnerships.

Best Publications

Cross-Validation

Unknown

1477
Citations
Relational learning via latent social dimensions

Lei Tang;Huan Liu

826
Citations
Identifying the influential bloggers in a community

Nitin Agarwal;Huan Liu;Lei Tang;Philip S. Yu

753
Citations
Community Detection and Mining in Social Media

Lei Tang;Huan Liu

532
Citations
Exploiting social relations for sentiment analysis in microblogging

Xia Hu;Lei Tang;Jiliang Tang;Huan Liu

451
Citations
Leveraging social media networks for classification

Lei Tang;Huan Liu

429
Citations
Community evolution in dynamic multi-mode networks

Lei Tang;Huan Liu;Jianping Zhang;Zohreh Nazeri

347
Citations
Scalable learning of collective behavior based on sparse social dimensions

Lei Tang;Huan Liu

314
Citations
Large scale multi-label classification via metalabeler

Lei Tang;Suju Rajan;Vijay K. Narayanan

295
Citations
Community detection via heterogeneous interaction analysis

Lei Tang;Xufei Wang;Huan Liu

251
Citations
Extracting shared subspace for multi-label classification

Shuiwang Ji;Lei Tang;Shipeng Yu;Jieping Ye

242
Citations
Uncoverning Groups via Heterogeneous Interaction Analysis

Lei Tang;Xufei Wang;Huan Liu

203
Citations
Discovering Overlapping Groups in Social Media

Xufei Wang;Lei Tang;Huiji Gao;Huan Liu

199
Citations
A shared-subspace learning framework for multi-label classification

Shuiwang Ji;Lei Tang;Shipeng Yu;Jieping Ye

179
Citations
A convex formulation for learning shared structures from multiple tasks

Jianhui Chen;Lei Tang;Jun Liu;Jieping Ye

175
Citations
GRAPH MINING APPLICATIONS TO SOCIAL NETWORK ANALYSIS

Lei Tang;Huan Liu

174
Citations
What is Tumblr: a statistical overview and comparison

Yi Chang;Lei Tang;Yoshiyuki Inagaki;Yan Liu

169
Citations
Identifying Evolving Groups in Dynamic Multimode Networks

Lei Tang;Huan Liu;Jianping Zhang

132
Citations
Bundle recommendation in ecommerce

Tao Zhu;Patrick Harrington;Junjun Li;Lei Tang

122
Citations
Toward Predicting Collective Behavior via Social Dimension Extraction

Lei Tang;Huan Liu

116
Citations
Topic taxonomy adaptation for group profiling

Lei Tang;Huan Liu;Jianping Zhang;Nitin Agarwal

94
Citations

Frequent Co-Authors

Huan Liu Arizona State University

Jieping Ye Alibaba Group (China)

Xia Hu Rice University

Philip S. Yu University of Illinois at Chicago

Shuiwang Ji Texas A&M University

Shipeng Yu Pinterest

Yi Chang Jilin University

Jun Liu Infinia ML (United States)

Jiliang Tang Michigan State University

External Links

Personal website of Lei Tang Google Scholar page

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