Xingshi He
- Artificial Intelligence top 1%
- Metaheuristic Optimization Algorithms Research 24
- Evolutionary Algorithms and Applications 12
- Neural Networks and Applications 4
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- Advanced Multi-Objective Optimization Algorithms 12
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- Advanced Algorithms and Applications 6
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- Artificial Immune Systems Applications 3
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- Complex Network Analysis Techniques 2
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- Distributed Control Multi-Agent Systems 2
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsIndustrial and Manufacturing Engineering
- Partner nations
- ChinaUnited KingdomMacao
In The Last Decade
Xingshi He
37 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 1.1k
- Computational Theory and Mathematics 399
- Industrial and Manufacturing Engineering 136
- Control and Systems Engineering 309
- Computer Vision and Pattern Recognition 225
Countries citing papers authored by Xingshi He
This map shows the geographic impact of Xingshi He'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 Xingshi He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingshi He more than expected).
Fields of papers citing papers by Xingshi He
This network shows the impact of papers produced by Xingshi He. 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 Xingshi He. The network helps show where Xingshi He may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xingshi He, 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 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2021 | 8 | |
| 7 | 2020 | 2 | |
| 8 | 2019 | 1 | |
| 9 | 2015 | 24 | |
| 10 | 2014 | 10 | |
| 11 | 2013 | 253 | |
| 12 | 2013 | 54 | |
| 13 | 2013 | 28 | |
| 14 | 2011 | 0 | |
| 15 | 2009 | 58 | |
| 16 | 2009 | 5 | |
| 17 | Improved method and application to choose the nodes for BP neural network | 2008 | 2 |
| 18 | 2007 | 70 | |
| 19 | 2007 | 10 | |
| 20 | 2004 | 35 |
About Xingshi He
Xingshi He is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering, having authored 39 papers that have together received 2.1k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (24 papers), Advanced Multi-Objective Optimization Algorithms (12 papers), Evolutionary Algorithms and Applications (12 papers), Advanced Algorithms and Applications (6 papers), Neural Networks and Applications (4 papers), Artificial Immune Systems Applications (3 papers), Complex Network Analysis Techniques (2 papers) and Distributed Control Multi-Agent Systems (2 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Computational Theory and Mathematics (399 citations) and Industrial and Manufacturing Engineering (136 citations). Xingshi He has collaborated with scholars based in China, United Kingdom and Macao. Frequent co-authors include Xin‐She Yang, Mehmet Karamanoglu, Suash Deb, Bing Yu, Yuxin Zhao, Qingqing Zhang, Yan Dong, Zheng Qin, Yu Liu and Longfu Luo. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Computer.
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.