Chen Ma
Impact in
- Geriatrics and Gerontology top 2%
- Frailty in Older Adults
- Information Systems top 0.5%
- Recommender Systems and Techniques
Papers in
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- Advanced Graph Neural Networks 21
- Topic Modeling 11
- Adversarial Robustness in Machine Learning 3
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- Recommender Systems and Techniques 27
- 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)Wei He (1 shared paper)Zhijun Bao (1 shared paper)Zhuowei Yu (1 shared paper)
In The Last Decade
Chen Ma
64 papers receiving 1.7k citations
Chen Ma's Hit Papers
Peers
Comparison fields: 5 of 158
- Geriatrics and Gerontology 209
- Information Systems 784
- Artificial Intelligence 844
- Transportation 105
- Management Science and Operations Research 181
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 79 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 | 430 |
| 2 | 2014 | 260 | |
| 3 | 2019 | 187 | |
| 4 | 2020 | 145 | |
| 5 | 2020 | 95 | |
| 6 | 2018 | 88 | |
| 7 | 2019 | 81 | |
| 8 | 2019 | 41 | |
| 9 | 2017 | 37 | |
| 10 | 2020 | 35 | |
| 11 | 2021 | 28 | |
| 12 | 2023 | 26 | |
| 13 | 2022 | 25 | |
| 14 | 2022 | 25 | |
| 15 | 2022 | 23 | |
| 16 | 2017 | 18 | |
| 17 | 2022 | 16 | |
| 18 | 2021 | 14 | |
| 19 | 2020 | 14 | |
| 20 | 2022 | 13 |
About Chen Ma
Chen Ma is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Management Science and Operations Research and Computer Networks and Communications, having authored 79 papers that have together received 1.8k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (27 papers), Advanced Graph Neural Networks (21 papers), Topic Modeling (11 papers), Advanced Bandit Algorithms Research (7 papers), Image Retrieval and Classification Techniques (5 papers), Caching and Content Delivery (4 papers), Consumer Market Behavior and Pricing (3 papers) and Adversarial Robustness in Machine Learning (3 papers). The work is most often cited by research in Geriatrics and Gerontology (209 citations), Information Systems (784 citations), Artificial Intelligence (844 citations), Transportation (105 citations) and Management Science and Operations Research (181 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, Wei He, Zhijun Bao, Zhuowei Yu, Qingwei Ruan and Jin Li. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems, Drying Technology, The Heart Surgery Forum and Nature Communications.
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.