Jin Ma
Impact in
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- Computer Graphics and Visualization Techniques
Papers in
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- Natural Language Processing Techniques 3
- Topic Modeling 3
- Anomaly Detection Techniques and Applications 2
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- Design Education and Practice 2
- Co-authors
- Ken Friedman (2 shared papers)Ying Shan (4 shared papers)Yungang Bai (3 shared papers)Ming Xu (1 shared paper)Taihong Liu (1 shared paper)Xinguo Liu (1 shared paper)Edmond Q. Wu (1 shared paper)Bin Zhang (2 shared papers)
- Journals
- She ji (2 papers)IEEE Transactions on Automation Science and Engineering (2 papers)The FASEB Journal (1 paper)Laser Physics Letters (1 paper)IEEE Sensors Journal (1 paper)
- Partner nations
- ChinaUnited StatesPhilippines
In The Last Decade
Jin Ma
30 papers receiving 252 citations
Peers
Comparison fields: 5 of 101
- Computer Graphics and Computer-Aided Design 19
- Human-Computer Interaction 17
- Health Informatics 3
- Management of Technology and Innovation 15
- Computer Vision and Pattern Recognition 43
Countries citing papers authored by Jin Ma
This map shows the geographic impact of Jin 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 Jin Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Ma more than expected).
Fields of papers citing papers by Jin Ma
This network shows the impact of papers produced by Jin 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 Jin Ma. The network helps show where Jin Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 60 | |
| 2 | 2020 | 23 | |
| 3 | 2023 | 20 | |
| 4 | 2008 | 20 | |
| 5 | 2024 | 20 | |
| 6 | 2023 | 19 | |
| 7 | 2023 | 14 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2023 | 10 | |
| 11 | Differential vascular cell adhesion molecule-1 expression and superoxide production in simulated microgravity rat vasculature. | 2010 | 8 |
| 12 | 2023 | 8 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2017 | 4 | |
| 16 | Dynamic analysis of a train-bridge system to vessel collision and running safety of high-speed trains | 2015 | 3 |
| 17 | 2023 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2023 | 2 |
About Jin Ma
Jin Ma is a scholar working on Artificial Intelligence, Mechanical Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 34 papers that have together received 262 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers), Design Education and Practice (2 papers), Anomaly Detection Techniques and Applications (2 papers), Multimodal Machine Learning Applications (2 papers), Spaceflight effects on biology (2 papers), Creativity in Education and Neuroscience (2 papers) and Anesthesia and Neurotoxicity Research (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (19 citations), Human-Computer Interaction (17 citations), Health Informatics (3 citations), Management of Technology and Innovation (15 citations) and Computer Vision and Pattern Recognition (43 citations). Jin Ma has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Ken Friedman, Ying Shan, Yungang Bai, Ming Xu, Taihong Liu, Xinguo Liu, Edmond Q. Wu, Bin Zhang, Yizhen Chen and Muyang Zhang. Their work appears in journals such as She ji, IEEE Transactions on Automation Science and Engineering, The FASEB Journal, Laser Physics Letters and IEEE Sensors Journal.
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.