Haiwei Ma
Impact in
- Human-Computer Interaction top 10%
- Innovative Human-Technology Interaction
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- Digital Mental Health Interventions
Papers in
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- Peroxisome Proliferator-Activated Receptors 2
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- Cancer-related molecular mechanisms research 4
- Co-authors
- Svetlana Yarosh (7 shared papers)Andrew Hall (1 shared paper)C. Estelle Smith (2 shared papers)Huazi Xu (5 shared papers)Gang Zheng (5 shared papers)Xiangyang Wang (4 shared papers)Kailiang Zhou (3 shared papers)Chenglong Xie (5 shared papers)
- Journals
- Frontiers in Pharmacology (3 papers)Proceedings of the ACM on Human-Computer Interaction (3 papers)Free Radical Biology and Medicine (3 papers)IEEE Transactions on Affective Computing (1 paper)Cell Death Discovery (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Haiwei Ma
32 papers receiving 516 citations
Peers
Comparison fields: 5 of 110
- Human-Computer Interaction 49
- Applied Psychology 28
- Communication 40
- Pathology and Forensic Medicine 75
- Rehabilitation 16
Countries citing papers authored by Haiwei Ma
This map shows the geographic impact of Haiwei 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 Haiwei Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiwei Ma more than expected).
Fields of papers citing papers by Haiwei Ma
This network shows the impact of papers produced by Haiwei 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 Haiwei Ma. The network helps show where Haiwei Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Haiwei 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 60 | |
| 2 | 2017 | 58 | |
| 3 | 2022 | 54 | |
| 4 | 2022 | 53 | |
| 5 | 2017 | 50 | |
| 6 | 2020 | 39 | |
| 7 | 2021 | 24 | |
| 8 | 2020 | 22 | |
| 9 | 2021 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 12 | |
| 13 | 2021 | 11 | |
| 14 | 2020 | 10 | |
| 15 | 2023 | 10 | |
| 16 | 2024 | 9 | |
| 17 | 2024 | 8 | |
| 18 | 2024 | 8 | |
| 19 | 2016 | 8 | |
| 20 | 2021 | 7 |
About Haiwei Ma
Haiwei Ma is a scholar working on Molecular Biology, Cancer Research, Communication, Nephrology and Pharmacology, having authored 35 papers that have together received 522 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Mental Health via Writing (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Knowledge Management and Sharing (2 papers), Expert finding and Q&A systems (2 papers), Digital Communication and Language (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Human-Computer Interaction (49 citations), Applied Psychology (28 citations), Communication (40 citations), Pathology and Forensic Medicine (75 citations) and Rehabilitation (16 citations). Haiwei Ma has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Svetlana Yarosh, Andrew Hall, C. Estelle Smith, Huazi Xu, Gang Zheng, Xiangyang Wang, Kailiang Zhou, Chenglong Xie, Haojie Zhang and Roni Evans. Their work appears in journals such as Frontiers in Pharmacology, Proceedings of the ACM on Human-Computer Interaction, Free Radical Biology and Medicine, IEEE Transactions on Affective Computing and Cell Death Discovery.
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.