Ming Jack Po

834 total citations
11 papers, 397 citations indexed

About

Ming Jack Po is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Ming Jack Po has authored 11 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Artificial Intelligence. Recurrent topics in Ming Jack Po's work include Machine Learning in Healthcare (3 papers), Cardiac Imaging and Diagnostics (3 papers) and Cardiovascular Function and Risk Factors (3 papers). Ming Jack Po is often cited by papers focused on Machine Learning in Healthcare (3 papers), Cardiac Imaging and Diagnostics (3 papers) and Cardiovascular Function and Risk Factors (3 papers). Ming Jack Po collaborates with scholars based in United States, Israel and France. Ming Jack Po's co-authors include Andrew F. Laine, Qi Duan, Armen R. Kherlopian, Ting Song, John K. Gohagan, David Elad, Eyal Botzer, Liat Ben‐Sira, Shaul Dollberg and Isaac George and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and BMC Medical Informatics and Decision Making.

In The Last Decade

Ming Jack Po

11 papers receiving 383 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ming Jack Po United States	6	100	85	73	71	43	11	397
Claudia Richter Germany	12	64 0.6×	109 1.3×	28 0.4×	37 0.5×	18 0.4×	22	611
Vijay P.B. Grover United Kingdom	10	92 0.9×	61 0.7×	142 1.9×	190 2.7×	10 0.2×	15	637
Danli Shi China	18	87 0.9×	59 0.7×	458 6.3×	96 1.4×	7 0.2×	80	893
Ronit Barkalifa United States	15	230 2.3×	161 1.9×	41 0.6×	14 0.2×	162 3.8×	28	632
Christopher D. Nguyen United States	11	120 1.2×	148 1.7×	31 0.4×	76 1.1×	25 0.6×	25	527
Elena Longo Italy	12	91 0.9×	39 0.5×	32 0.4×	12 0.2×	7 0.2×	45	474
Amanda Fisher‐Hubbard United States	6	97 1.0×	93 1.1×	43 0.6×	65 0.9×	183 4.3×	18	458
J. Hwang United States	17	62 0.6×	268 3.2×	499 6.8×	29 0.4×	26 0.6×	42	1.0k
Shuqin Guo China	15	102 1.0×	55 0.6×	8 0.1×	31 0.4×	6 0.1×	61	679
Yanjie Zhao China	8	161 1.6×	38 0.4×	129 1.8×	69 1.0×	74 1.7×	23	366

Countries citing papers authored by Ming Jack Po

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ming Jack Po

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Jack Po. A scholar is included among the top collaborators of Ming Jack Po based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming Jack Po. Ming Jack Po is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Ebner, Daniel K., et al.. (2022). The “Ecosystem as a Service (EaaS)” approach to advance clinical artificial intelligence (cAI). SHILAP Revista de lepidopterología. 1(2). e0000011–e0000011. 5 indexed citations

Hartman, Tzvika, Jeff Dean, Oren Gilon, et al.. (2020). Customization scenarios for de-identification of clinical notes. BMC Medical Informatics and Decision Making. 20(1). 14–14. 25 indexed citations

Covert, Ian, et al.. (2019). Temporal Graph Convolutional Networks for Automatic Seizure Detection. 160–180. 6 indexed citations

Pulerwitz, Todd, Omar Khalique, Tamim Nazif, et al.. (2016). Very low intravenous contrast volume protocol for computed tomography angiography providing comprehensive cardiac and vascular assessment prior to transcatheter aortic valve replacement in patients with chronic kidney disease. Journal of cardiovascular computed tomography. 10(4). 316–321. 33 indexed citations

Elad, David, Andrew F. Laine, Ming Jack Po, et al.. (2014). Biomechanics of milk extraction during breast-feeding. Proceedings of the National Academy of Sciences. 111(14). 5230–5235. 84 indexed citations

Duan, Qi, et al.. (2011). Parameterization of real-time 3D speckle tracking framework for cardiac strain assessment. PubMed. 105. 2654–2657. 2 indexed citations

Po, Ming Jack, Monvadi B. Srichai, & Andrew F. Laine. (2011). Quantitative detection of left ventricular dyssynchrony from cardiac computed tomography angiography. 260. 1318–1321. 1 indexed citations

Po, Ming Jack, Q.Q. Duan, Eiichi Hyodo, et al.. (2010). In-vivo clinical validation of cardiac deformation and strain measurements from 4D ultrasound. PubMed. 24. 41–44. 4 indexed citations

Duan, Qi, Ming Jack Po, Eiichi Hyodo, et al.. (2010). Pipeline for the quantification of cardiac strain based on optical flow using 4D ultrasound data. 1–2. 1 indexed citations

10.

Kherlopian, Armen R., Ting Song, Qi Duan, et al.. (2008). A review of imaging techniques for systems biology. BMC Systems Biology. 2(1). 74–74. 226 indexed citations

11.

Po, Ming Jack & Andrew F. Laine. (2008). Leveraging genetic algorithm and neural network in automated protein crystal recognition. PubMed. 2008. 1926–1929. 10 indexed citations

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.

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