Chang‐Dong Wang
Impact in
- Computational Mathematics top 0.5%
-
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Advanced Graph Neural Networks 56
- Advanced Clustering Algorithms Research 53
- Text and Document Classification Technologies 30
- Topic Modeling 23
-
- Face and Expression Recognition 61
- Advanced Image and Video Retrieval Techniques 17
- Co-authors
- Jianhuang Lai (85 shared papers)Dong Huang (65 shared papers)Ling Huang (46 shared papers)Philip S. Yu (21 shared papers)Man-Sheng Chen (26 shared papers)Hongyang Chao (11 shared papers)Guangyu Zhang (15 shared papers)Yumeng Xu (1 shared paper)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (17 papers)IEEE Transactions on Knowledge and Data Engineering (14 papers)Neurocomputing (11 papers)Knowledge-Based Systems (10 papers)Pattern Recognition (10 papers)
- Partner nations
- ChinaUnited StatesUnited Arab Emirates
In The Last Decade
Chang‐Dong Wang
207 papers receiving 5.2k citations
Chang‐Dong Wang's Hit Papers
Peers
Comparison fields: 5 of 153
- Computational Mathematics 163
- Computer Vision and Pattern Recognition 2.8k
- Artificial Intelligence 3.1k
- Urban Studies 353
- Media Technology 518
Countries citing papers authored by Chang‐Dong Wang
This map shows the geographic impact of Chang‐Dong Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chang‐Dong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang‐Dong Wang more than expected).
Fields of papers citing papers by Chang‐Dong Wang
This network shows the impact of papers produced by Chang‐Dong Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chang‐Dong Wang. The network helps show where Chang‐Dong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chang‐Dong Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 232 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 259 | |
| 2 | 2020 | 216 | |
| 3 | 2019 | 166 | |
| 4 | 2015 | 165 | |
| 5 | Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity Hit paper breakdown → | 2023 | 155 |
| 6 | 2015 | 146 | |
| 7 | 2015 | 118 | |
| 8 | 2019 | 114 | |
| 9 | Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning Hit paper breakdown → | 2023 | 112 |
| 10 | 2015 | 109 | |
| 11 | 2019 | 94 | |
| 12 | 2018 | 92 | |
| 13 | 2018 | 92 | |
| 14 | 2022 | 91 | |
| 15 | 2022 | 88 | |
| 16 | 2022 | 87 | |
| 17 | 2022 | 86 | |
| 18 | 2019 | 82 | |
| 19 | 2015 | 78 | |
| 20 | 2020 | 68 |
About Chang‐Dong Wang
Chang‐Dong Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Statistical and Nonlinear Physics and Molecular Biology, having authored 232 papers that have together received 5.2k indexed citations. Recurring topics across this work include Face and Expression Recognition (61 papers), Advanced Graph Neural Networks (56 papers), Advanced Clustering Algorithms Research (53 papers), Recommender Systems and Techniques (49 papers), Complex Network Analysis Techniques (38 papers), Text and Document Classification Technologies (30 papers), Topic Modeling (23 papers) and Advanced Image and Video Retrieval Techniques (17 papers). The work is most often cited by research in Computational Mathematics (163 citations), Computer Vision and Pattern Recognition (2.8k citations), Artificial Intelligence (3.1k citations), Urban Studies (353 citations) and Media Technology (518 citations). Chang‐Dong Wang has collaborated with scholars based in China, United States and United Arab Emirates. Frequent co-authors include Jianhuang Lai, Dong Huang, Ling Huang, Philip S. Yu, Man-Sheng Chen, Hongyang Chao, Guangyu Zhang, Yumeng Xu, Yuren Zhou and Zhi‐Hong Deng. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering, Neurocomputing, Knowledge-Based Systems and Pattern Recognition.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.