Ke Tang
Impact in
- Computational Theory and Mathematics top 0.02%
- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 0.05%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Machine Learning and Data Classification
- Data Stream Mining Techniques
Papers in
-
- Metaheuristic Optimization Algorithms Research 96
- Evolutionary Algorithms and Applications 72
- Machine Learning and Algorithms 15
- Machine Learning and Data Classification 12
-
- Advanced Multi-Objective Optimization Algorithms 77
- Co-authors
- Xin Yao (88 shared papers)Zhenyu Yang (10 shared papers)Bingdong Li (6 shared papers)Jinlong Li (4 shared papers)Yi Mei (12 shared papers)Xiaodong Li (6 shared papers)Peng Yang (22 shared papers)Chao Qian (26 shared papers)
- Journals
- IEEE Transactions on Evolutionary Computation (31 papers)IEEE Transactions on Cybernetics (9 papers)Information Sciences (8 papers)IEEE Computational Intelligence Magazine (6 papers)Neurocomputing (5 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Ke Tang
268 papers receiving 10.2k citations
Ke Tang's Hit Papers
Peers
Comparison fields: 5 of 177
- Computational Theory and Mathematics 4.6k
- Artificial Intelligence 6.5k
- Industrial and Manufacturing Engineering 1.1k
- Software 247
- Management Science and Operations Research 705
Countries citing papers authored by Ke Tang
This map shows the geographic impact of Ke 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 Ke Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Tang more than expected).
Fields of papers citing papers by Ke Tang
This network shows the impact of papers produced by Ke 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 Ke Tang. The network helps show where Ke Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke 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 280 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Large scale evolutionary optimization using cooperative coevolution Hit paper breakdown → | 2008 | 760 |
| 2 | Many-Objective Evolutionary Algorithms Hit paper breakdown → | 2015 | 627 |
| 3 | Benchmark Functions for the CEC'2008 Special Session and Competition on Large Scale Global Optimization Hit paper breakdown → | 2008 | 503 |
| 4 | 2008 | 282 | |
| 5 | Benchmark Functions for the CEC'2013 Special Session and Competition on Large-Scale Global Optimization | 2013 | 275 |
| 6 | 2008 | 252 | |
| 7 | 2020 | 251 | |
| 8 | 2018 | 239 | |
| 9 | 2016 | 211 | |
| 10 | 2021 | 172 | |
| 11 | 2007 | 168 | |
| 12 | 2011 | 166 | |
| 13 | 2009 | 159 | |
| 14 | 2020 | 155 | |
| 15 | 2010 | 137 | |
| 16 | 2013 | 131 | |
| 17 | 2016 | 125 | |
| 18 | 2018 | 123 | |
| 19 | 2019 | 120 | |
| 20 | 2015 | 119 |
About Ke Tang
Ke Tang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 280 papers that have together received 10.4k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (96 papers), Advanced Multi-Objective Optimization Algorithms (77 papers), Evolutionary Algorithms and Applications (72 papers), Vehicle Routing Optimization Methods (28 papers), Machine Learning and Algorithms (15 papers), Optimization and Packing Problems (12 papers), Machine Learning and Data Classification (12 papers) and Sparse and Compressive Sensing Techniques (10 papers). The work is most often cited by research in Computational Theory and Mathematics (4.6k citations), Artificial Intelligence (6.5k citations), Industrial and Manufacturing Engineering (1.1k citations), Software (247 citations) and Management Science and Operations Research (705 citations). Ke Tang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xin Yao, Zhenyu Yang, Bingdong Li, Jinlong Li, Yi Mei, Xiaodong Li, Peng Yang, Chao Qian, Mohammad Nabi Omidvar and Thomas Weise. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, Information Sciences, IEEE Computational Intelligence Magazine and Neurocomputing.
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.