Ming Jack Po
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
-
- Cardiovascular Function and Risk Factors 3
- Cardiovascular Health and Disease Prevention 2
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- Cardiac Imaging and Diagnostics 3
- Advanced MRI Techniques and Applications 2
- Co-authors
- Andrew F. Laine (7 shared papers)Qi Duan (3 shared papers)John K. Gohagan (1 shared paper)Armen R. Kherlopian (1 shared paper)Ting Song (1 shared paper)Shaul Dollberg (1 shared paper)Eyal Botzer (1 shared paper)David Elad (1 shared paper)
- Journals
- BMC Medical Informatics and Decision Making (1 paper)Journal of cardiovascular computed tomography (1 paper)BMC Systems Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Ming Jack Po
11 papers receiving 383 citations
Peers
Comparison fields: 5 of 114
- Biophysics 43
- Health Informatics 5
- Speech and Hearing 24
- Pharmacy 17
- Acoustics and Ultrasonics 3
Countries citing papers authored by Ming Jack Po
This map shows the geographic impact of Ming Jack Po'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 Jack Po with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Jack Po more than expected).
Fields of papers citing papers by Ming Jack Po
This network shows the impact of papers produced by Ming Jack Po. 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 Jack Po. The network helps show where Ming Jack Po may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Jack Po, 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 | 2008 | 226 | |
| 2 | 2014 | 84 | |
| 3 | 2016 | 33 | |
| 4 | 2020 | 25 | |
| 5 | 2008 | 10 | |
| 6 | Temporal Graph Convolutional Networks for Automatic Seizure Detection | 2019 | 6 |
| 7 | 2022 | 5 | |
| 8 | 2010 | 4 | |
| 9 | 2011 | 2 | |
| 10 | 2011 | 1 | |
| 11 | 2010 | 1 |
About Ming Jack Po
Ming Jack Po is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Molecular Biology and Health Information Management, having authored 11 papers that have together received 397 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (3 papers), Cardiovascular Function and Risk Factors (3 papers), Cardiac Imaging and Diagnostics (3 papers), Cardiovascular Health and Disease Prevention (2 papers), Advanced MRI Techniques and Applications (2 papers), Elasticity and Material Modeling (1 paper), Machine Learning in Bioinformatics (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Biophysics (43 citations), Health Informatics (5 citations), Speech and Hearing (24 citations), Pharmacy (17 citations) and Acoustics and Ultrasonics (3 citations). Ming Jack Po has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Andrew F. Laine, Qi Duan, John K. Gohagan, Armen R. Kherlopian, Ting Song, Shaul Dollberg, Eyal Botzer, David Elad, Liat Ben‐Sira and Gregory D. Pearson. Their work appears in journals such as BMC Medical Informatics and Decision Making, Journal of cardiovascular computed tomography, BMC Systems Biology, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.
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.