Xiaocong Chen
Impact in
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- Alcohol Consumption and Health Effects
- Health Informatics top 10%
Papers in
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- Reinforcement Learning in Robotics 9
- Anomaly Detection Techniques and Applications 5
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- Advanced Bandit Algorithms Research 14
- Probability and Risk Models 3
- Co-authors
- Lina Yao (22 shared papers)Laura E. Nagy (6 shared papers)Becky M. Sebastian (5 shared papers)Xianzhi Wang (9 shared papers)Yu Zhang (1 shared paper)Tao Zhou (1 shared paper)Jinming Dong (1 shared paper)Donald W. Jacobsen (2 shared papers)
- Journals
- Phytochemistry (2 papers)Antioxidants and Redox Signaling (1 paper)Pattern Recognition Letters (1 paper)Frontiers in Oncology (1 paper)Hepatology (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xiaocong Chen
47 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 144
- Pathology and Forensic Medicine 219
- Health Informatics 16
- Aquatic Science 58
- Biochemistry 51
- Artificial Intelligence 247
Countries citing papers authored by Xiaocong Chen
This map shows the geographic impact of Xiaocong 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 Xiaocong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaocong Chen more than expected).
Fields of papers citing papers by Xiaocong Chen
This network shows the impact of papers produced by Xiaocong 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 Xiaocong Chen. The network helps show where Xiaocong Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaocong 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
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 140 | |
| 2 | 2008 | 97 | |
| 3 | 2023 | 96 | |
| 4 | 2007 | 94 | |
| 5 | 2011 | 78 | |
| 6 | 2006 | 71 | |
| 7 | 2014 | 69 | |
| 8 | 2010 | 68 | |
| 9 | 2019 | 62 | |
| 10 | 2022 | 39 | |
| 11 | 2022 | 34 | |
| 12 | 2022 | 29 | |
| 13 | 2023 | 22 | |
| 14 | 2021 | 20 | |
| 15 | 2021 | 20 | |
| 16 | 2023 | 16 | |
| 17 | 2024 | 15 | |
| 18 | 2022 | 13 | |
| 19 | 2023 | 13 | |
| 20 | 2022 | 12 |
About Xiaocong Chen
Xiaocong Chen is a scholar working on Artificial Intelligence, Management Science and Operations Research, Information Systems, Molecular Biology and Electrical and Electronic Engineering, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (14 papers), Recommender Systems and Techniques (10 papers), Reinforcement Learning in Robotics (9 papers), Smart Grid Energy Management (6 papers), Anomaly Detection Techniques and Applications (5 papers), Alcohol Consumption and Health Effects (4 papers), Probability and Risk Models (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (219 citations), Health Informatics (16 citations), Aquatic Science (58 citations), Biochemistry (51 citations) and Artificial Intelligence (247 citations). Xiaocong Chen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Lina Yao, Laura E. Nagy, Becky M. Sebastian, Xianzhi Wang, Yu Zhang, Tao Zhou, Jinming Dong, Donald W. Jacobsen, Armend Axhemi and Julian McAuley. Their work appears in journals such as Phytochemistry, Antioxidants and Redox Signaling, Pattern Recognition Letters, Frontiers in Oncology and Hepatology.
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.