Bing Xue
- Artificial Intelligence top 0.05%
- Metaheuristic Optimization Algorithms Research 214
- Evolutionary Algorithms and Applications 208
- Machine Learning and Data Classification 56
- Imbalanced Data Classification Techniques 27
- Computational Theory and Mathematics top 0.05%
- Advanced Multi-Objective Optimization Algorithms 70
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- Face and Expression Recognition 30
- Advanced Neural Network Applications 23
- Health Information Management top 0.5%
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- Viral Infectious Diseases and Gene Expression in Insects 22
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Evolutionary Computation (61 papers)IEEE Transactions on Cybernetics (22 papers)Applied Soft Computing (13 papers)
- Partner nations
- New ZealandChinaUnited States
In The Last Decade
Bing Xue
427 papers receiving 13.0k citations
Hit Papers
Peers
Comparison fields: 5 of 204
- Artificial Intelligence 9.2k
- Computational Theory and Mathematics 2.9k
- Computer Vision and Pattern Recognition 2.8k
- Industrial and Manufacturing Engineering 660
- Health Information Management 211
Countries citing papers authored by Bing Xue
This map shows the geographic impact of Bing Xue'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 Bing Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Xue more than expected).
Fields of papers citing papers by Bing Xue
This network shows the impact of papers produced by Bing Xue. 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 Bing Xue. The network helps show where Bing Xue may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bing Xue, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 25 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 43 | |
| 13 | 2023 | 17 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 0 | |
| 16 | 2023 | 5 | |
| 17 | 2022 | 7 | |
| 18 | 2020 | 24 | |
| 19 | 2019 | 4 | |
| 20 | 2019 | 155 |
About Bing Xue
Bing Xue is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Control and Systems Engineering, having authored 475 papers that have together received 13.3k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (214 papers), Evolutionary Algorithms and Applications (208 papers), Advanced Multi-Objective Optimization Algorithms (70 papers), Machine Learning and Data Classification (56 papers), Face and Expression Recognition (30 papers), Imbalanced Data Classification Techniques (27 papers), Advanced Neural Network Applications (23 papers) and Viral Infectious Diseases and Gene Expression in Insects (22 papers). The work is most often cited by research in Artificial Intelligence (9.2k citations), Computational Theory and Mathematics (2.9k citations), Computer Vision and Pattern Recognition (2.8k citations), Industrial and Manufacturing Engineering (660 citations) and Health Information Management (211 citations). Bing Xue has collaborated with scholars based in New Zealand, China and United States. Frequent co-authors include Mengjie Zhang, Will N. Browne, Yanan Sun, Gary G. Yen, Jun Zhang, Xin Yao, Binh Tran, Emrah Hançer, Bach Hoai Nguyen and Ying Bi. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, Applied Soft Computing, IEEE Transactions on Emerging Topics in Computational Intelligence and Information Sciences.
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.