Jin Ma
Impact in
- Human-Computer Interaction top 10%
- Innovative Human-Technology Interaction
Papers in
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- Multimodal Machine Learning Applications 2
-
- Topic Modeling 3
- Natural Language Processing Techniques 3
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Ken Friedman (1 shared paper)Ying Shan (4 shared papers)Ming Zhou Xu (1 shared paper)Xiaorong Guan (1 shared paper)Edmond Q. Wu (1 shared paper)Leif P. Kobbelt (1 shared paper)Yizhen Chen (1 shared paper)Limin Zhu (1 shared paper)
- Journals
- IEEE Transactions on Automation Science and Engineering (2 papers)Digital Health (1 paper)Molecules (1 paper)CoDesign (1 paper)Frontiers in Cardiovascular Medicine (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jin Ma
32 papers receiving 324 citations
Peers
Comparison fields: 5 of 112
- Computer Graphics and Computer-Aided Design 22
- Human-Computer Interaction 30
- Management of Technology and Innovation 30
- Computer Vision and Pattern Recognition 49
- Health Informatics 3
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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 94 | |
| 2 | 2024 | 27 | |
| 3 | 2023 | 24 | |
| 4 | 2020 | 24 | |
| 5 | 2008 | 24 | |
| 6 | 2023 | 22 | |
| 7 | 2023 | 14 | |
| 8 | 2022 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 11 | |
| 11 | 2022 | 11 | |
| 12 | Differential vascular cell adhesion molecule-1 expression and superoxide production in simulated microgravity rat vasculature. | 2010 | 9 |
| 13 | 2017 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2015 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2023 | 3 |
About Jin Ma
Jin Ma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Management of Technology and Innovation, Mechanical Engineering and Cognitive Neuroscience, having authored 38 papers that have together received 333 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Natural Language Processing Techniques (3 papers), Design Education and Practice (3 papers), Multimodal Machine Learning Applications (2 papers), Anomaly Detection Techniques and Applications (2 papers), Creativity in Education and Neuroscience (2 papers), Product Development and Customization (2 papers) and Anesthesia and Neurotoxicity Research (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (22 citations), Human-Computer Interaction (30 citations), Management of Technology and Innovation (30 citations), Computer Vision and Pattern Recognition (49 citations) and Health Informatics (3 citations). Jin Ma has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ken Friedman, Ying Shan, Ming Zhou Xu, Xiaorong Guan, Edmond Q. Wu, Leif P. Kobbelt, Yizhen Chen, Limin Zhu, Zhongang Qi and Muyang Zhang. Their work appears in journals such as IEEE Transactions on Automation Science and Engineering, Digital Health, Molecules, CoDesign and Frontiers in Cardiovascular Medicine.
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.