Haiwei Ma
Impact in
- Human-Computer Interaction top 10%
- Innovative Human-Technology Interaction
Papers in
-
- Cancer-related molecular mechanisms research 4
- Co-authors
- Svetlana Yarosh (7 shared papers)Andrew Hall (1 shared paper)Huazi Xu (5 shared papers)Gang Zheng (5 shared papers)C. Estelle Smith (2 shared papers)Xiangyang Wang (4 shared papers)Kailiang Zhou (3 shared papers)Hongqiang Wu (3 shared papers)
- Journals
- Proceedings of the ACM on Human-Computer Interaction (3 papers)Frontiers in Pharmacology (3 papers)Free Radical Biology and Medicine (2 papers)Cell Death Discovery (1 paper)World Neurosurgery (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Haiwei Ma
29 papers receiving 437 citations
Peers
Comparison fields: 5 of 107
- Human-Computer Interaction 43
- Applied Psychology 26
- Communication 34
- Pathology and Forensic Medicine 73
- Rheumatology 42
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 53 | |
| 2 | 2023 | 50 | |
| 3 | 2022 | 48 | |
| 4 | 2017 | 45 | |
| 5 | 2022 | 44 | |
| 6 | 2020 | 28 | |
| 7 | 2021 | 22 | |
| 8 | 2020 | 21 | |
| 9 | 2022 | 13 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 11 | |
| 12 | 2021 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2024 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2016 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2024 | 7 | |
| 19 | 2021 | 6 | |
| 20 | 2019 | 6 |
About Haiwei Ma
Haiwei Ma is a scholar working on Molecular Biology, Cancer Research, Surgery, Communication and Nephrology, having authored 32 papers that have together received 443 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Mental Health via Writing (3 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Bone and Joint Diseases (3 papers), Social Media and Politics (2 papers), Health Literacy and Information Accessibility (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Digital Communication and Language (2 papers). The work is most often cited by research in Human-Computer Interaction (43 citations), Applied Psychology (26 citations), Communication (34 citations), Pathology and Forensic Medicine (73 citations) and Rheumatology (42 citations). Haiwei Ma has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Svetlana Yarosh, Andrew Hall, Huazi Xu, Gang Zheng, C. Estelle Smith, Xiangyang Wang, Kailiang Zhou, Hongqiang Wu, Linda L. Magnusson Hanson and Chenglong Xie. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Frontiers in Pharmacology, Free Radical Biology and Medicine, Cell Death Discovery and World Neurosurgery.
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.