Wang Chang-dong
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 67
- Advanced Clustering Algorithms Research 58
- Text and Document Classification Technologies 34
- Topic Modeling 27
-
- Face and Expression Recognition 66
- Co-authors
- Jianhuang Lai (97 shared papers)Dong Huang (75 shared papers)Ling Huang (60 shared papers)Philip S. Yu (28 shared papers)Man-Sheng Chen (34 shared papers)Guangyu Zhang (17 shared papers)Hongyang Chao (12 shared papers)Yumeng Xu (1 shared paper)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (18 papers)IEEE Transactions on Knowledge and Data Engineering (15 papers)Neural Networks (12 papers)Neurocomputing (12 papers)Pattern Recognition (11 papers)
- Partner nations
- ChinaUnited StatesUnited Arab Emirates
In The Last Decade
Wang Chang-dong
253 papers receiving 6.3k citations
Wang Chang-dong's Hit Papers
Peers
Comparison fields: 5 of 159
- Computational Mathematics 179
- Computer Vision and Pattern Recognition 3.2k
- Artificial Intelligence 3.6k
- Urban Studies 409
- Statistical and Nonlinear Physics 830
Countries citing papers authored by Wang Chang-dong
This map shows the geographic impact of Wang Chang-dong'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 Wang Chang-dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Chang-dong more than expected).
Fields of papers citing papers by Wang Chang-dong
This network shows the impact of papers produced by Wang Chang-dong. 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 Wang Chang-dong. The network helps show where Wang Chang-dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang Chang-dong, 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 282 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 284 | |
| 2 | 2020 | 233 | |
| 3 | Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity Hit paper breakdown → | 2023 | 186 |
| 4 | 2019 | 184 | |
| 5 | 2015 | 179 | |
| 6 | 2015 | 163 | |
| 7 | Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning Hit paper breakdown → | 2023 | 142 |
| 8 | 2019 | 131 | |
| 9 | 2015 | 128 | |
| 10 | 2015 | 123 | |
| 11 | 2022 | 111 | |
| 12 | 2022 | 110 | |
| 13 | 2022 | 107 | |
| 14 | 2019 | 104 | |
| 15 | 2018 | 101 | |
| 16 | 2022 | 98 | |
| 17 | 2018 | 96 | |
| 18 | 2019 | 95 | |
| 19 | 2019 | 90 | |
| 20 | 2015 | 90 |
About Wang Chang-dong
Wang Chang-dong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Information Systems and Media Technology, having authored 282 papers that have together received 6.4k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (67 papers), Face and Expression Recognition (66 papers), Recommender Systems and Techniques (63 papers), Advanced Clustering Algorithms Research (58 papers), Complex Network Analysis Techniques (49 papers), Text and Document Classification Technologies (34 papers), Topic Modeling (27 papers) and Remote-Sensing Image Classification (19 papers). The work is most often cited by research in Computational Mathematics (179 citations), Computer Vision and Pattern Recognition (3.2k citations), Artificial Intelligence (3.6k citations), Urban Studies (409 citations) and Statistical and Nonlinear Physics (830 citations). Wang Chang-dong 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, Guangyu Zhang, Hongyang Chao, Yumeng Xu, Peizhen Li and Yong Tang. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering, Neural Networks, Neurocomputing 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.