Cai Dai
Impact in
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- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
Papers in
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- Metaheuristic Optimization Algorithms Research 30
- Evolutionary Algorithms and Applications 18
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- Advanced Multi-Objective Optimization Algorithms 28
- Co-authors
- Yuping Wang (11 shared papers)Ye Miao (2 shared papers)Lingling Huang (2 shared papers)Weifeng Gao (2 shared papers)Sanyang Liu (2 shared papers)Xiujuan Lei (10 shared papers)Xingbao Gao (1 shared paper)Min Guo (4 shared papers)
In The Last Decade
Cai Dai
35 papers receiving 723 citations
Peers
Comparison fields: 5 of 74
- Computational Theory and Mathematics 401
- Artificial Intelligence 498
- Industrial and Manufacturing Engineering 63
- Management Science and Operations Research 60
- Control and Systems Engineering 69
Countries citing papers authored by Cai Dai
This map shows the geographic impact of Cai Dai'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 Cai Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cai Dai more than expected).
Fields of papers citing papers by Cai Dai
This network shows the impact of papers produced by Cai Dai. 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 Cai Dai. The network helps show where Cai Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Cai Dai, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 160 | |
| 2 | 2015 | 114 | |
| 3 | 2015 | 59 | |
| 4 | 2017 | 54 | |
| 5 | 2015 | 43 | |
| 6 | 2022 | 31 | |
| 7 | 2014 | 30 | |
| 8 | 2015 | 30 | |
| 9 | 2014 | 25 | |
| 10 | 2015 | 23 | |
| 11 | 2015 | 22 | |
| 12 | 2019 | 17 | |
| 13 | 2018 | 16 | |
| 14 | 2014 | 12 | |
| 15 | 2023 | 12 | |
| 16 | 2015 | 10 | |
| 17 | 2023 | 10 | |
| 18 | 2017 | 10 | |
| 19 | 2019 | 8 | |
| 20 | 2018 | 6 |
About Cai Dai
Cai Dai is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Control and Systems Engineering and Civil and Structural Engineering, having authored 36 papers that have together received 736 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (30 papers), Advanced Multi-Objective Optimization Algorithms (28 papers), Evolutionary Algorithms and Applications (18 papers), Optimal Experimental Design Methods (3 papers), Topology Optimization in Engineering (3 papers), Artificial Immune Systems Applications (3 papers), Heat Transfer and Optimization (1 paper) and Advanced Control Systems Optimization (1 paper). The work is most often cited by research in Computational Theory and Mathematics (401 citations), Artificial Intelligence (498 citations), Industrial and Manufacturing Engineering (63 citations), Management Science and Operations Research (60 citations) and Control and Systems Engineering (69 citations). Cai Dai has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Yuping Wang, Ye Miao, Lingling Huang, Weifeng Gao, Sanyang Liu, Xiujuan Lei, Xingbao Gao, Min Guo, Zhiqiang Li and Miao Ye. Their work appears in journals such as Complexity, Information Sciences, Knowledge-Based Systems, IEEE Transactions on Cybernetics and Applied Mathematics and 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.