Wai‐Kit Ming
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Obstetrics and Gynecology top 1%
- Gestational Diabetes Research and Management
- Pregnancy and preeclampsia studies
- Maternal and Perinatal Health Interventions
Papers in
-
- COVID-19 epidemiological studies 15
-
- Gestational Diabetes Research and Management 15
- Co-authors
- Casper J. P. ZhangJoyce H. S. YouZonglin HeJian HuangBabatunde AkinwunmiXinchan JiangYanxin WuZilian Wang
- Journals
- Journal of Medical Internet Research (14 papers)JMIR Public Health and Surveillance (8 papers)Frontiers in Public Health (7 papers)International Journal of Environmental Research and Public Health (6 papers)Value in Health (5 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Wai‐Kit Ming
144 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Health Informatics 155
- Obstetrics and Gynecology 642
- Modeling and Simulation 137
- Health 223
- Applied Psychology 88
Countries citing papers authored by Wai‐Kit Ming
This map shows the geographic impact of Wai‐Kit Ming'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 Wai‐Kit Ming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wai‐Kit Ming more than expected).
Fields of papers citing papers by Wai‐Kit Ming
This network shows the impact of papers produced by Wai‐Kit Ming. 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 Wai‐Kit Ming. The network helps show where Wai‐Kit Ming may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wai‐Kit Ming, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 57 | |
| 11 | 2022 | 44 | |
| 12 | 2022 | 10 | |
| 13 | 2022 | 13 | |
| 14 | 2022 | 20 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 55 | |
| 18 | 2020 | 14 | |
| 19 | Health Communication Through News Media During the Early Stage of the COVID-19 Outbreak in China: Digital Topic Modeling Approach Hit paper breakdown → | 2020 | 173 |
| 20 | 2018 | 124 |
About Wai‐Kit Ming
Wai‐Kit Ming is a scholar working on Modeling and Simulation, Obstetrics and Gynecology, Health, Leadership and Management and General Social Sciences, having authored 158 papers that have together received 2.8k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (15 papers), Gestational Diabetes Research and Management (15 papers), COVID-19 epidemiological studies (15 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Bariatric Surgery and Outcomes (9 papers), Influenza Virus Research Studies (7 papers), Economic and Environmental Valuation (7 papers) and Global Maternal and Child Health (6 papers). The work is most often cited by research in Health Informatics (155 citations), Obstetrics and Gynecology (642 citations), Modeling and Simulation (137 citations), Health (223 citations) and Applied Psychology (88 citations). Wai‐Kit Ming has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Casper J. P. Zhang, Joyce H. S. You, Zonglin He, Jian Huang, Babatunde Akinwunmi, Xinchan Jiang, Yanxin Wu, Zilian Wang, Haitian Chen and Zhuyu Li. Their work appears in journals such as Journal of Medical Internet Research, JMIR Public Health and Surveillance, Frontiers in Public Health, International Journal of Environmental Research and Public Health and Value in Health.
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.