Dagui Chen
Impact in
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- Consumer Market Behavior and Pricing
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- Auction Theory and Applications
- Advanced Bandit Algorithms Research
Papers in
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- Consumer Market Behavior and Pricing 5
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- Auction Theory and Applications 4
- Co-authors
- Jian Xu (3 shared papers)Zhenzhe Zheng (3 shared papers)Yu Rong (1 shared paper)Xiaoqiang Zhu (1 shared paper)Yiqing Wang (1 shared paper)Guihai Chen (2 shared papers)Fan Wu (4 shared papers)Da Huo (1 shared paper)
- Journals
- IEEE Access (1 paper)NANO (1 paper)Tropical Journal of Pharmaceutical Research (1 paper)Proceedings of the 31st ACM International Conference on Information & Knowledge Management (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dagui Chen
7 papers receiving 46 citations
Peers
Comparison fields: 5 of 31
- Marketing 18
- Management Science and Operations Research 24
- Complementary and alternative medicine 4
- Business and International Management 1
- Information Systems 11
Countries citing papers authored by Dagui Chen
This map shows the geographic impact of Dagui Chen'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 Dagui Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dagui Chen more than expected).
Fields of papers citing papers by Dagui Chen
This network shows the impact of papers produced by Dagui Chen. 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 Dagui Chen. The network helps show where Dagui Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dagui Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 25 | |
| 2 | 2022 | 7 | |
| 3 | 2020 | 6 | |
| 4 | 2019 | 5 | |
| 5 | 2019 | 2 | |
| 6 | 2018 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2025 | 0 | |
| 9 | 2025 | 0 |
About Dagui Chen
Dagui Chen is a scholar working on Marketing, Management Science and Operations Research, Strategy and Management, Artificial Intelligence and Computer Networks and Communications, having authored 9 papers that have together received 47 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (5 papers), Auction Theory and Applications (4 papers), Digital Platforms and Economics (3 papers), Reinforcement Learning in Robotics (2 papers), Imbalanced Data Classification Techniques (1 paper), Transportation and Mobility Innovations (1 paper), Advanced Nanomaterials in Catalysis (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Marketing (18 citations), Management Science and Operations Research (24 citations), Complementary and alternative medicine (4 citations), Business and International Management (1 citation) and Information Systems (11 citations). Dagui Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jian Xu, Zhenzhe Zheng, Yu Rong, Xiaoqiang Zhu, Yiqing Wang, Guihai Chen, Fan Wu, Da Huo, Hongtao Lv and Jie Luan. Their work appears in journals such as IEEE Access, NANO, Tropical Journal of Pharmaceutical Research and Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
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.