Cai Dai

33 papers and 644 indexed citations i.

About

Cai Dai is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Cai Dai has authored 33 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 26 papers in Computational Theory and Mathematics and 5 papers in Management Science and Operations Research. Recurrent topics in Cai Dai’s work include Metaheuristic Optimization Algorithms Research (27 papers), Advanced Multi-Objective Optimization Algorithms (26 papers) and Evolutionary Algorithms and Applications (15 papers). Cai Dai is often cited by papers focused on Metaheuristic Optimization Algorithms Research (27 papers), Advanced Multi-Objective Optimization Algorithms (26 papers) and Evolutionary Algorithms and Applications (15 papers). Cai Dai collaborates with scholars based in China, Canada and Hong Kong. Cai Dai's co-authors include Yuping Wang, Lingling Huang, Sanyang Liu, Weifeng Gao, Xiujuan Lei, Xingbao Gao, Xiaoli Wang, Min Guo, Felix T.S. Chan and Zhiqiang Li and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Cai Dai i

Fields of papers citing papers by Cai Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Cai Dai

Since Specialization
Citations

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).

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.

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2025