Qingpeng Cai

29 papers and 282 indexed citations i.

About

Qingpeng Cai is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Qingpeng Cai has authored 29 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 15 papers in Management Science and Operations Research and 14 papers in Information Systems. Recurrent topics in Qingpeng Cai’s work include Recommender Systems and Techniques (11 papers), Advanced Bandit Algorithms Research (11 papers) and Reinforcement Learning in Robotics (8 papers). Qingpeng Cai is often cited by papers focused on Recommender Systems and Techniques (11 papers), Advanced Bandit Algorithms Research (11 papers) and Reinforcement Learning in Robotics (8 papers). Qingpeng Cai collaborates with scholars based in China, Hong Kong and Singapore. Qingpeng Cai's co-authors include Pingzhong Tang, Aris Filos-Ratsikas, Longbo Huang, Zhixuan Fang, Yiwei Zhang, Wenqiao Zhang, Andrew Makmur, Kun Gai, Beng Chin Ooi and Lei Zhu and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and Autonomous Agents and Multi-Agent Systems.

In The Last Decade

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

Fields of papers citing papers by Qingpeng Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qingpeng Cai. 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 Qingpeng Cai. The network helps show where Qingpeng Cai may publish in the future.

Countries citing papers authored by Qingpeng Cai

Since Specialization
Citations

This map shows the geographic impact of Qingpeng Cai'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 Qingpeng Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingpeng Cai 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