Chen Ma
Impact in
- Geriatrics and Gerontology top 1%
- Frailty in Older Adults
- Information Systems top 1%
- Recommender Systems and Techniques
Papers in
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- Advanced Graph Neural Networks 21
- Topic Modeling 11
- Domain Adaptation and Few-Shot Learning 3
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- Recommender Systems and Techniques 29
- Co-authors
- Xue Liu (12 shared papers)Yingxue Zhang (10 shared papers)Peng Kang (2 shared papers)Mark Coates (9 shared papers)Jianing Sun (3 shared papers)Zhuowei Yu (1 shared paper)Wei He (1 shared paper)Qingwei Ruan (1 shared paper)
In The Last Decade
Chen Ma
73 papers receiving 2.0k citations
Chen Ma's Hit Papers
Peers
Comparison fields: 5 of 152
- Geriatrics and Gerontology 192
- Information Systems 892
- Artificial Intelligence 965
- Transportation 118
- Health Informatics 22
Countries citing papers authored by Chen Ma
This map shows the geographic impact of Chen Ma'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 Chen Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Ma more than expected).
Fields of papers citing papers by Chen Ma
This network shows the impact of papers produced by Chen Ma. 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 Chen Ma. The network helps show where Chen Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Ma, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A survey on large language model based autonomous agents Hit paper breakdown → | 2024 | 553 |
| 2 | 2014 | 280 | |
| 3 | 2019 | 215 | |
| 4 | 2020 | 161 | |
| 5 | 2020 | 103 | |
| 6 | 2018 | 98 | |
| 7 | 2019 | 95 | |
| 8 | 2019 | 43 | |
| 9 | 2017 | 40 | |
| 10 | 2020 | 38 | |
| 11 | 2022 | 34 | |
| 12 | 2022 | 32 | |
| 13 | 2021 | 29 | |
| 14 | 2023 | 26 | |
| 15 | 2022 | 25 | |
| 16 | 2017 | 19 | |
| 17 | 2021 | 17 | |
| 18 | 2023 | 17 | |
| 19 | 2020 | 16 | |
| 20 | 2022 | 16 |
About Chen Ma
Chen Ma is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Management Science and Operations Research, having authored 84 papers that have together received 2.1k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (29 papers), Advanced Graph Neural Networks (21 papers), Topic Modeling (11 papers), Advanced Bandit Algorithms Research (7 papers), Caching and Content Delivery (5 papers), Image Retrieval and Classification Techniques (5 papers), Advanced Neural Network Applications (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Geriatrics and Gerontology (192 citations), Information Systems (892 citations), Artificial Intelligence (965 citations), Transportation (118 citations) and Health Informatics (22 citations). Chen Ma has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Xue Liu, Yingxue Zhang, Peng Kang, Mark Coates, Jianing Sun, Zhuowei Yu, Wei He, Qingwei Ruan, Zhijun Bao and Jin Li. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems, Molecules, Analytical Methods and Obstetrics and Gynecology.
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.