Ming‐Yen Ng
- Health Informatics top 0.5%
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- Cardiac Imaging and Diagnostics 23
- Advanced MRI Techniques and Applications 15
- COVID-19 diagnosis using AI 5
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies 3
- Neurology top 5%
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- Cardiovascular Function and Risk Factors 16
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- Ultrasound and Hyperthermia Applications 5
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- Diabetes Treatment and Management 4
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- Congenital Heart Disease Studies 3
- Co-authors
- Elaine LeeChristine Shing-Yen LoMacy Mei‐Sze LuiMichael KuoSiu Ting LeungJonan Chun Yin LeeEric Yuk Fai WanHo Yuen Frank Wong
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingCritical Care and Intensive Care Medicine
In The Last Decade
Ming‐Yen Ng
50 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Health Informatics 152
- Radiology, Nuclear Medicine and Imaging 1.6k
- Critical Care and Intensive Care Medicine 333
- Infectious Diseases 855
- Neurology 245
Countries citing papers authored by Ming‐Yen Ng
This map shows the geographic impact of Ming‐Yen Ng'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 Ming‐Yen Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Yen Ng more than expected).
Fields of papers citing papers by Ming‐Yen Ng
This network shows the impact of papers produced by Ming‐Yen Ng. 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 Ming‐Yen Ng. The network helps show where Ming‐Yen Ng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming‐Yen Ng, 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 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 0 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2021 | 13 | |
| 14 | 2021 | 2 | |
| 15 | 2020 | 11 | |
| 16 | 2020 | 21 | |
| 17 | 2018 | 5 | |
| 18 | 2016 | 94 | |
| 19 | 2015 | 4 | |
| 20 | 2013 | 15 |
About Ming‐Yen Ng
Ming‐Yen Ng is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Critical Care and Intensive Care Medicine, having authored 56 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (23 papers), Cardiovascular Function and Risk Factors (16 papers), Advanced MRI Techniques and Applications (15 papers), COVID-19 diagnosis using AI (5 papers), Ultrasound and Hyperthermia Applications (5 papers), Diabetes Treatment and Management (4 papers), COVID-19 Clinical Research Studies (3 papers) and Congenital Heart Disease Studies (3 papers). The work is most often cited by research in Health Informatics (152 citations), Radiology, Nuclear Medicine and Imaging (1.6k citations) and Critical Care and Intensive Care Medicine (333 citations). Ming‐Yen Ng has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include Elaine Lee, Christine Shing-Yen Lo, Macy Mei‐Sze Lui, Michael Kuo, Siu Ting Leung, Jonan Chun Yin Lee, Eric Yuk Fai Wan, Ho Yuen Frank Wong, Tina Lam and Ivan Fan‐Ngai Hung. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, Clinical Radiology, European Heart Journal - Cardiovascular Imaging, Journal of the American Heart Association and European Radiology.
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.