Chunlei Li
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Co-authors
- Libao DengGaoji SunLiyan QiaoGuoqing YangClaude CarletLei HuXiangyong ZengLili Zhang
- Topics
- Metaheuristic Optimization Algorithms Research (23 papers)Advanced Multi-Objective Optimization Algorithms (19 papers)Evolutionary Algorithms and Applications (18 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsComputer Vision and Pattern Recognition
In The Last Decade
Chunlei Li
28 papers receiving 452 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 346
- Computational Theory and Mathematics 163
- Electrical and Electronic Engineering 71
- Computer Vision and Pattern Recognition 60
- Computer Networks and Communications 40
Countries citing papers authored by Chunlei Li
This map shows the geographic impact of Chunlei Li'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 Chunlei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunlei Li more than expected).
Fields of papers citing papers by Chunlei Li
This network shows the impact of papers produced by Chunlei Li. 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 Chunlei Li. The network helps show where Chunlei Li may publish in the future.
Co-authorship network of co-authors of Chunlei Li
This figure shows the co-authorship network connecting the top 25 collaborators of Chunlei Li. A scholar is included among the top collaborators of Chunlei Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chunlei Li. Chunlei Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 7 | |
| 16 | 30 | |
| 17 | 71 | |
| 18 | 1 | |
| 19 | 0 | |
| 20 | 28 |
About Chunlei Li
Chunlei Li is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Hardware and Architecture, having authored 38 papers that have together received 471 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (23 papers), Advanced Multi-Objective Optimization Algorithms (19 papers) and Evolutionary Algorithms and Applications (18 papers). The work is most often cited by research in Artificial Intelligence (346 citations), Computational Theory and Mathematics (163 citations) and Computer Vision and Pattern Recognition (60 citations). Chunlei Li has collaborated with scholars based in China, Ireland and Germany. Frequent co-authors include Libao Deng, Gaoji Sun, Liyan Qiao, Guoqing Yang, Claude Carlet, Lei Hu, Xiangyong Zeng, Lili Zhang, Lili Zhang and Bin Ma. Their work appears in journals such as Journal of Colloid and Interface Science, Expert Systems with Applications 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.