Ying Tan
Impact in
- Artificial Intelligence top 0.2%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Computational Theory and Mathematics top 0.2%
- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Metaheuristic Optimization Algorithms Research 104
- Evolutionary Algorithms and Applications 56
- Neural Networks and Applications 15
-
- Advanced Multi-Objective Optimization Algorithms 55
- Co-authors
- Shaoqiu Zheng (18 shared papers)Junzhi Li (14 shared papers)Chaoli Sun (17 shared papers)Jianchao Zeng (13 shared papers)Zhongyang Zheng (4 shared papers)Andreas Janecek (5 shared papers)Gai‐Ge Wang (2 shared papers)Jun Wang (7 shared papers)
- Journals
- Neurocomputing (6 papers)IEEE Transactions on Evolutionary Computation (5 papers)IEEE Transactions on Cybernetics (5 papers)IEEE Transactions on Neural Networks and Learning Systems (4 papers)International Journal of Bio-Inspired Computation (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ying Tan
330 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Artificial Intelligence 2.8k
- Computational Theory and Mathematics 1.4k
- Computer Vision and Pattern Recognition 761
- Industrial and Manufacturing Engineering 361
- Signal Processing 341
Countries citing papers authored by Ying Tan
This map shows the geographic impact of Ying Tan'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 Ying Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Tan more than expected).
Fields of papers citing papers by Ying Tan
This network shows the impact of papers produced by Ying Tan. 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 Ying Tan. The network helps show where Ying Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Tan, 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 352 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 243 | |
| 2 | 2018 | 240 | |
| 3 | 2013 | 218 | |
| 4 | 2018 | 161 | |
| 5 | 2013 | 155 | |
| 6 | 2009 | 130 | |
| 7 | 2021 | 127 | |
| 8 | 2017 | 125 | |
| 9 | 2001 | 106 | |
| 10 | 2004 | 104 | |
| 11 | 2014 | 102 | |
| 12 | SF-FWA: A Self-Adaptive Fast Fireworks Algorithm for effective large-scale optimization Hit paper breakdown → | 2023 | 99 |
| 13 | 2004 | 93 | |
| 14 | 2018 | 86 | |
| 15 | 2007 | 85 | |
| 16 | 2010 | 82 | |
| 17 | 2014 | 77 | |
| 18 | 2016 | 72 | |
| 19 | 2013 | 68 | |
| 20 | 2015 | 68 |
About Ying Tan
Ying Tan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Control and Systems Engineering and Biomedical Engineering, having authored 352 papers that have together received 6.0k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (104 papers), Evolutionary Algorithms and Applications (56 papers), Advanced Multi-Objective Optimization Algorithms (55 papers), Artificial Immune Systems Applications (35 papers), Advanced Algorithms and Applications (28 papers), Network Security and Intrusion Detection (16 papers), Neural Networks and Applications (15 papers) and Spam and Phishing Detection (15 papers). The work is most often cited by research in Artificial Intelligence (2.8k citations), Computational Theory and Mathematics (1.4k citations), Computer Vision and Pattern Recognition (761 citations), Industrial and Manufacturing Engineering (361 citations) and Signal Processing (341 citations). Ying Tan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shaoqiu Zheng, Junzhi Li, Chaoli Sun, Jianchao Zeng, Zhongyang Zheng, Andreas Janecek, Gai‐Ge Wang, Jun Wang, Yaochu Jin and You Zhou. Their work appears in journals such as Neurocomputing, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems and International Journal of Bio-Inspired 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.