2026 Chang-Dong 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	44	7618	7398	1003	997	271	7389

Chang-Dong Wang publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Chang-Dong Wang sits on this spectrum.

32 publications 991+

This scientist: 271 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Chang-Dong Wang D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Chang-Dong Wang sits on this spectrum.

30 D-Index 131+

This scientist: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Chang-Dong Wang is affiliated with Sun Yat-sen University in China and has contributed significantly to the field of computer science, with a particular focus on artificial intelligence and related subfields.

The scientist's recent publications reflect a research emphasis on multi-view clustering and advanced machine learning techniques. Notable papers include:

Multi-View Clustering in Latent Embedding Space, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity, 2023, IEEE Transactions on Knowledge and Data Engineering
Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning, 2023, IEEE Transactions on Neural Networks and Learning Systems
Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering, 2022, Information Fusion
Representation Learning in Multi-view Clustering: A Literature Review, 2022, Data Science and Engineering

Frequent co-authors of Chang-Dong Wang include:

Jianhuang Lai
Dong Huang
Man-Sheng Chen
Ling Huang
Philip S. Yu

The scientist regularly publishes in several venues, reflecting a focus on neural networks, knowledge engineering, and computational intelligence:

arXiv (Cornell University)
IEEE Transactions on Neural Networks and Learning Systems
Neural Networks
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Emerging Topics in Computational Intelligence

Chang-Dong Wang has published books with Springer Science+Business Media, including "Big Data" (2022) and "Advanced Data Mining and Applications" (2020).

The scientist's main field of study is computer science, with specialization in several subfields:

Artificial Intelligence
Computer Vision and Pattern Recognition
Information Systems
Statistical and Nonlinear Physics
Urban Studies

Research topics prominently covered in Chang-Dong Wang's work include:

Advanced Graph Neural Networks
Recommender Systems and Techniques
Face and Expression Recognition
Advanced Clustering Algorithms Research
Text and Document Classification Technologies
Topic Modeling
Complex Network Analysis Techniques

Best Publications

Ultra-Scalable Spectral Clustering and Ensemble Clustering

Dong Huang;Chang-Dong Wang;Jian-Sheng Wu;Jian-Huang Lai

395
Citations
Locally Weighted Ensemble Clustering

Dong Huang;Chang-Dong Wang;Jian-Huang Lai

380
Citations
Generative Dual Adversarial Network for Generalized Zero-Shot Learning

He Huang;Changhu Wang;Philip S. Yu;Chang-Dong Wang

254
Citations
Multi-View Clustering in Latent Embedding Space

Man-Sheng Chen;Ling Huang;Chang-Dong Wang;Dong Huang

253
Citations
Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity

Unknown

246
Citations
Weighted Multi-view Clustering with Feature Selection

Yu-Meng Xu;Chang-Dong Wang;Jian-Huang Lai

213
Citations
Robust Ensemble Clustering Using Probability Trajectories

Dong Huang;Jian-Huang Lai;Chang-Dong Wang

208
Citations
Enhanced Ensemble Clustering via Fast Propagation of Cluster-Wise Similarities

Dong Huang;Chang-Dong Wang;Hongxing Peng;Jianhuang Lai

190
Citations
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System

Zhi-Hong Deng;Ling Huang;Chang-Dong Wang;Jian-Huang Lai

175
Citations
Ensemble clustering using factor graph

Dong Huang;Jianhuang Lai;Chang-Dong Wang

164
Citations
Multi-View Clustering Based on Belief Propagation

Chang-Dong Wang;Jian-Huang Lai;Philip S. Yu

147
Citations
Representation Learning in Multi-view Clustering: A Literature Review

Unknown

147
Citations
Multi-Exemplar Affinity Propagation

Chang-Dong Wang;Jian-Huang Lai;Ching Y. Suen;Jun-Yong Zhu

141
Citations
Serendipitous Recommendation in E-Commerce Using Innovator-Based Collaborative Filtering

Chang-Dong Wang;Zhi-Hong Deng;Jian-Huang Lai;Philip S. Yu

140
Citations
Low-Rank Tensor Based Proximity Learning for Multi-View Clustering

Unknown

139
Citations
Combining multiple clusterings via crowd agreement estimation and multi-granularity link analysis

Dong Huang;Jian-Huang Lai;Chang-Dong Wang

135
Citations
Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering

Unknown

127
Citations
EdMot: An Edge Enhancement Approach for Motif-aware Community Detection

Pei-Zhen Li;Ling Huang;Chang-Dong Wang;Jian-Huang Lai

116
Citations
Multi-view Graph Learning by Joint Modeling of Consistency and Inconsistency

Youwei Liang;Dong Huang;Chang-Dong Wang;Philip S. Yu

113
Citations
SVStream: A Support Vector-Based Algorithm for Clustering Data Streams

Chang-Dong Wang;Jian-Huang Lai;Dong Huang;Wei-Shi Zheng

110
Citations
One-step Kernel Multi-view Subspace Clustering

Guang-Yu Zhang;Yu-Ren Zhou;Yu-Ren Zhou;Xiao-Yu He;Chang-Dong Wang

105
Citations
Multi-view intact space clustering

Ling Huang;Hong-Yang Chao;Chang-Dong Wang

103
Citations
Efficient Orthogonal Multi-view Subspace Clustering

Unknown

101
Citations
An ACO-based Scheduling Strategy on Load Balancing in Cloud Computing Environment

Wei-Tao Wen;Chang-Dong Wang;De-Shen Wu;Ying-Yan Xie

88
Citations
Robust Ensemble Clustering Using Probability Trajectories

Dong Huang;Jian-Huang Lai;Chang-Dong Wang

78
Citations
Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering

Youwei Liang;Dong Huang;Chang-Dong Wang

71
Citations
Multi-view Intact Space Clustering

Ling Ling;Hong-Yang Chao;Chang-Dong Wang

2
Citations

Frequent Co-Authors

Jianhuang Lai Sun Yat-sen University

Philip S. Yu University of Illinois at Chicago

Hongyang Chao Sun Yat-sen University

Chee Keong Kwoh Nanyang Technological University

Yuren Zhou Sun Yat-sen University

Wei-Shi Zheng Sun Yat-sen University

Changhu Wang ByteDance

Yuanqing Li South China University of Technology

Zhenan Sun Chinese Academy of Sciences

Charu C. Aggarwal IBM (United States)

External Links

Personal website of Chang-Dong Wang

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