David Eng
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Cardiac Imaging and Diagnostics
- Radiation Dose and Imaging
Papers in
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- Cardiac Imaging and Diagnostics 3
- Radiomics and Machine Learning in Medical Imaging 1
- COVID-19 diagnosis using AI 1
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- Cardiovascular Function and Risk Factors 1
- Cardiovascular Disease and Adiposity 1
- Co-authors
- Nishith Khandwala (5 shared papers)Bhavik N. Patel (2 shared papers)Alexander T. Sandhu (2 shared papers)David J. Maron (2 shared papers)Fátima Rodríguez (2 shared papers)Domenico Mastrodicasa (1 shared paper)Sujana Balla (1 shared paper)Scott G. Filler (1 shared paper)
- Journals
- Circulation (3 papers)mBio (1 paper)Journal of the American College of Cardiology (1 paper)Journal of Thoracic Imaging (1 paper)Journal of clinical lipidology (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
David Eng
5 papers receiving 157 citations
Peers
Comparison fields: 5 of 49
- Health Informatics 18
- Radiology, Nuclear Medicine and Imaging 70
- Critical Care and Intensive Care Medicine 6
- Cardiology and Cardiovascular Medicine 23
- Infectious Diseases 18
Countries citing papers authored by David Eng
This map shows the geographic impact of David Eng'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 David Eng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Eng more than expected).
Fields of papers citing papers by David Eng
This network shows the impact of papers produced by David Eng. 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 David Eng. The network helps show where David Eng may publish in the future.
Co-authors
The 25 scholars most cited alongside David Eng, 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 | 2022 | 76 | |
| 2 | 2013 | 39 | |
| 3 | 2023 | 33 | |
| 4 | 2021 | 9 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 0 | |
| 7 | 2024 | 0 |
About David Eng
David Eng is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Complementary and alternative medicine, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 161 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Traditional Chinese Medicine Studies (1 paper), COVID-19 diagnosis using AI (1 paper), Cardiovascular Function and Risk Factors (1 paper) and Cardiovascular Disease and Adiposity (1 paper). The work is most often cited by research in Health Informatics (18 citations), Radiology, Nuclear Medicine and Imaging (70 citations), Critical Care and Intensive Care Medicine (6 citations), Cardiology and Cardiovascular Medicine (23 citations) and Infectious Diseases (18 citations). David Eng has collaborated with scholars based in United States and France. Frequent co-authors include Nishith Khandwala, Bhavik N. Patel, Alexander T. Sandhu, David J. Maron, Fátima Rodríguez, Domenico Mastrodicasa, Sujana Balla, Scott G. Filler, Hyun‐Sook Park and Pascale Cossart. Their work appears in journals such as Circulation, mBio, Journal of the American College of Cardiology, Journal of Thoracic Imaging and Journal of clinical lipidology.
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.