Zedong Tang
Impact in
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Advanced Graph Neural Networks
- Privacy-Preserving Technologies in Data
-
- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Metaheuristic Optimization Algorithms Research 9
- Advanced Graph Neural Networks 7
- Evolutionary Algorithms and Applications 5
- Machine Learning and ELM 3
-
- Advanced Neural Network Applications 3
- Co-authors
- Maoguo Gong (27 shared papers)Hao Li (9 shared papers)Yu Xie (8 shared papers)Yue Wu (9 shared papers)Jun Zhang (1 shared paper)A. K. Qin (6 shared papers)Chao Han (1 shared paper)Wenping Ma (2 shared papers)
In The Last Decade
Zedong Tang
26 papers receiving 688 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 462
- Computational Theory and Mathematics 227
- Computer Vision and Pattern Recognition 150
- Media Technology 46
- Statistical and Nonlinear Physics 54
Countries citing papers authored by Zedong Tang
This map shows the geographic impact of Zedong Tang'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 Zedong Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zedong Tang more than expected).
Fields of papers citing papers by Zedong Tang
This network shows the impact of papers produced by Zedong Tang. 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 Zedong Tang. The network helps show where Zedong Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zedong Tang, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 134 | |
| 2 | 2020 | 93 | |
| 3 | 2020 | 73 | |
| 4 | 2022 | 53 | |
| 5 | 2020 | 44 | |
| 6 | 2019 | 35 | |
| 7 | 2021 | 31 | |
| 8 | 2023 | 28 | |
| 9 | 2019 | 23 | |
| 10 | 2021 | 22 | |
| 11 | 2022 | 22 | |
| 12 | 2020 | 17 | |
| 13 | 2019 | 16 | |
| 14 | 2017 | 16 | |
| 15 | 2023 | 15 | |
| 16 | 2016 | 14 | |
| 17 | 2019 | 14 | |
| 18 | 2021 | 12 | |
| 19 | 2021 | 10 | |
| 20 | 2020 | 6 |
About Zedong Tang
Zedong Tang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Statistical and Nonlinear Physics and Computational Mechanics, having authored 28 papers that have together received 696 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (9 papers), Advanced Graph Neural Networks (7 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Evolutionary Algorithms and Applications (5 papers), Complex Network Analysis Techniques (4 papers), Remote-Sensing Image Classification (4 papers), Advanced Neural Network Applications (3 papers) and Machine Learning and ELM (3 papers). The work is most often cited by research in Artificial Intelligence (462 citations), Computational Theory and Mathematics (227 citations), Computer Vision and Pattern Recognition (150 citations), Media Technology (46 citations) and Statistical and Nonlinear Physics (54 citations). Zedong Tang has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Maoguo Gong, Hao Li, Yu Xie, Yue Wu, Jun Zhang, A. K. Qin, Chao Han, Wenping Ma, Qiguang Miao and Fenlong Jiang. Their work appears in journals such as Neural Networks, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Evolutionary Computation.
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.