Guowang Du
Impact in
- Computational Mathematics top 10%
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- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
Papers in
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- Advanced Clustering Algorithms Research 4
- Advanced Graph Neural Networks 2
-
- Face and Expression Recognition 7
- Video Surveillance and Tracking Methods 2
- Image Retrieval and Classification Techniques 2
- Co-authors
- Lihua Zhou (12 shared papers)Kevin Lü (9 shared papers)Lizhen Wang (6 shared papers)Zhongxue Li (1 shared paper)Yudi Yang (1 shared paper)Lizhen Wang (1 shared paper)Hao Wu (2 shared papers)Dapeng Tao (2 shared papers)
- Journals
- The Astrophysical Journal (3 papers)Information Systems Frontiers (1 paper)ACM Computing Surveys (1 paper)Neural Computing and Applications (1 paper)IEEE Access (1 paper)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Guowang Du
16 papers receiving 214 citations
Peers
Comparison fields: 5 of 47
- Computational Mathematics 11
- Computer Vision and Pattern Recognition 124
- Artificial Intelligence 118
- Urban Studies 13
- Media Technology 19
Countries citing papers authored by Guowang Du
This map shows the geographic impact of Guowang Du'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 Guowang Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guowang Du more than expected).
Fields of papers citing papers by Guowang Du
This network shows the impact of papers produced by Guowang Du. 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 Guowang Du. The network helps show where Guowang Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Guowang Du, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 57 | |
| 2 | 2021 | 47 | |
| 3 | 2024 | 27 | |
| 4 | 2021 | 19 | |
| 5 | 2022 | 16 | |
| 6 | 2018 | 15 | |
| 7 | 2021 | 11 | |
| 8 | 2024 | 8 | |
| 9 | 2018 | 7 | |
| 10 | 2025 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2020 | 3 | |
| 13 | 2023 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2023 | 1 |
About Guowang Du
Guowang Du is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Astronomy and Astrophysics and Signal Processing, having authored 16 papers that have together received 221 indexed citations. Recurring topics across this work include Face and Expression Recognition (7 papers), Complex Network Analysis Techniques (5 papers), Advanced Clustering Algorithms Research (4 papers), Stellar, planetary, and galactic studies (3 papers), Gamma-ray bursts and supernovae (3 papers), Advanced Graph Neural Networks (2 papers), Video Surveillance and Tracking Methods (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Computational Mathematics (11 citations), Computer Vision and Pattern Recognition (124 citations), Artificial Intelligence (118 citations), Urban Studies (13 citations) and Media Technology (19 citations). Guowang Du has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Lihua Zhou, Kevin Lü, Lizhen Wang, Zhongxue Li, Yudi Yang, Lizhen Wang, Hao Wu, Dapeng Tao, Jun Cheng and Zhimin Xu. Their work appears in journals such as The Astrophysical Journal, Information Systems Frontiers, ACM Computing Surveys, Neural Computing and Applications and IEEE Access.
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.