Qingpeng Cai

932 total citations
33 papers, 437 citations indexed

About

Qingpeng Cai is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Qingpeng Cai has authored 33 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 16 papers in Information Systems and 15 papers in Management Science and Operations Research. Recurrent topics in Qingpeng Cai's work include Recommender Systems and Techniques (12 papers), Advanced Bandit Algorithms Research (10 papers) and Reinforcement Learning in Robotics (9 papers). Qingpeng Cai is often cited by papers focused on Recommender Systems and Techniques (12 papers), Advanced Bandit Algorithms Research (10 papers) and Reinforcement Learning in Robotics (9 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, Wenqiao Zhang, Yiwei Zhang, Shengyu Zhang, Shuchang Liu, Peng Jiang and Andrew Makmur 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

Qingpeng Cai

31 papers receiving 422 citations

Peers

Qingpeng Cai
Comparison fields: 5 of 71
  • Artificial Intelligence 155
  • Information Systems 114
  • Management Science and Operations Research 104
  • Transportation 89
  • Automotive Engineering 82
Replace Ke Deng with:
Ke Deng Australia
Zhixuan Fang China
Zhenni Feng China
Juong-Sik Lee United States
Zhao Chen Hong Kong
Cen Chen China
Guoju Gao China
Anis Ouali United Arab Emirates
Liwei Deng China
Ana Garcı́a-Serrano Spain
Ke Deng Australia View profile →
Citations per field, relative to Qingpeng Cai
Qingpeng Cai · 1×
Citations per year, relative to Qingpeng Cai
Qingpeng Cai · 1×

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).

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.

Co-authorship network of co-authors of Qingpeng Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Qingpeng Cai. A scholar is included among the top collaborators of Qingpeng Cai 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 Qingpeng Cai. Qingpeng Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 1
5 12
6 1
7 15
8 23
9 22
10 11
11 8
12 7
13 1
14 1
15
Softmax Deep Double Deterministic Policy Gradients
1
16
Generalized deterministic policy gradient algorithms.
1
17
Policy Gradients for Contextual Bandits.
1
18 1
19 1
20
Facility location with minimax envy
16

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026