Seong K. Mun

4.1k total citations
239 papers, 2.9k citations indexed

About

Seong K. Mun is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Seong K. Mun has authored 239 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Radiology, Nuclear Medicine and Imaging, 88 papers in Pulmonary and Respiratory Medicine and 48 papers in Artificial Intelligence. Recurrent topics in Seong K. Mun's work include Digital Radiography and Breast Imaging (64 papers), Radiology practices and education (45 papers) and AI in cancer detection (39 papers). Seong K. Mun is often cited by papers focused on Digital Radiography and Breast Imaging (64 papers), Radiology practices and education (45 papers) and AI in cancer detection (39 papers). Seong K. Mun collaborates with scholars based in United States, South Korea and United Kingdom. Seong K. Mun's co-authors include Matthew T. Freedman, Jyh-Shyan Lin, Shih‐Chung B. Lo, S.-C.B. Lo, Brian Krasner, Steven C. Horii, Betty A. Levine, Huai Li, S.L. Lou and Heang‐Ping Chan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and SHILAP Revista de lepidopterología.

In The Last Decade

Seong K. Mun

221 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seong K. Mun United States 24 1.2k 826 715 506 387 239 2.9k
Charles E. Kahn United States 30 1.8k 1.5× 992 1.2× 453 0.6× 277 0.5× 362 0.9× 210 3.8k
Kostas Marias Greece 29 1.1k 0.9× 633 0.8× 264 0.4× 489 1.0× 421 1.1× 265 3.6k
Michael Pringle United Kingdom 9 2.0k 1.6× 919 1.1× 989 1.4× 727 1.4× 567 1.5× 9 3.8k
Harold L. Kundel United States 34 3.0k 2.5× 801 1.0× 1.3k 1.9× 390 0.8× 616 1.6× 164 5.4k
Katherine P. Andriole United States 28 1.9k 1.5× 367 0.4× 985 1.4× 191 0.4× 696 1.8× 131 3.4k
Ming Y. Lu United States 33 1.4k 1.1× 1.5k 1.8× 235 0.3× 433 0.9× 207 0.5× 76 4.7k
Marc Coram United States 19 2.9k 2.4× 1.2k 1.5× 429 0.6× 740 1.5× 414 1.1× 30 6.2k
Marc Kohli United States 24 1.7k 1.4× 986 1.2× 384 0.5× 424 0.8× 433 1.1× 68 3.1k
Scott Doyle United States 26 656 0.5× 1.3k 1.6× 501 0.7× 757 1.5× 204 0.5× 87 2.8k
Dorit D. Adler United States 33 1.5k 1.2× 1.5k 1.8× 486 0.7× 576 1.1× 254 0.7× 67 3.5k

Countries citing papers authored by Seong K. Mun

Since Specialization
Citations

This map shows the geographic impact of Seong K. Mun'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 Seong K. Mun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seong K. Mun more than expected).

Fields of papers citing papers by Seong K. Mun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seong K. Mun. 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 Seong K. Mun. The network helps show where Seong K. Mun may publish in the future.

Co-authorship network of co-authors of Seong K. Mun

This figure shows the co-authorship network connecting the top 25 collaborators of Seong K. Mun. A scholar is included among the top collaborators of Seong K. Mun 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 Seong K. Mun. Seong K. Mun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mun, Seong K., et al.. (2025). Impact of Ketamine and Propofol on Cognitive Function in Elderly Patients: A Systematic Review. Cureus. 17(2). e79091–e79091.
2.
Cho, Jae Hoon, et al.. (2024). Analysis of Changes in Relative Value Scale and Frequency of Surgery and Procedures in Surgery Departments Over the Past 18 Years: Secondary Publication. Korean Journal of Otorhinolaryngology - Head and Neck Surgery. 68(2). 67–73.
3.
Mun, Seong K., Betty A. Levine, William Bennett, et al.. (2021). A DICOM dataset for evaluation of medical image de-identification. Scientific Data. 8(1). 183–183. 20 indexed citations
5.
Rho, Mi Jung, Hun‐Sung Kim, Jae‐Hyoung Cho, et al.. (2014). Exploring the Relationship Among User Satisfaction, Compliance, and Clinical Outcomes of Telemedicine Services for Glucose Control. Telemedicine Journal and e-Health. 20(8). 712–720. 23 indexed citations
6.
Mun, Seong K., et al.. (2011). Technologies in the Patient-Centered Medical Home: Examining the Model from an Enterprise Perspective. Telemedicine Journal and e-Health. 17(6). 495–500. 6 indexed citations
7.
Mun, Seong K., et al.. (2009). The Executive Summary of the National Forum on the Future of Defense Health Information Systems. Military Medicine. 174(5S). 1–3. 3 indexed citations
8.
Benzinger, Tammie L.S., David L. Brody, Sylvain Cardin, et al.. (2009). Blast-Related Brain Injury: Imaging for Clinical and Research Applications: Report of the 2008 St. Louis Workshop. Journal of Neurotrauma. 26(12). 2127–2144. 56 indexed citations
9.
Wong, Kenneth H., et al.. (2009). Imaging components for a robotic casualty evaluation system. PubMed. 2009. 467–470. 4 indexed citations
10.
Mun, Seong K., et al.. (2008). WS/PIDS: Standard Interoperable PIDS in Web Services Environments. IEEE Transactions on Information Technology in Biomedicine. 12(1). 94–99. 4 indexed citations
11.
Yi, Jaeyoun, Ki‐Uk Kyung, Dong‐Soo Kwon, et al.. (2002). Spine needle biopsy simulator using visual and force feedback. Computer Aided Surgery. 7(6). 353–363. 29 indexed citations
12.
Kwon, Sung Min, J.K. Kim, Jaeyoun Yi, et al.. (2002). Spine Needle Biopsy Simulator Using Visual and Force Feedback. Computer Aided Surgery. 7(6). 353–363. 21 indexed citations
13.
Zeng, Jianchao, John J. Bauer, Wei Zhang, et al.. (2001). Prostate Biopsy Protocols: 3D Visualization-Based Evaluation and Clinical Correlation. Computer Aided Surgery. 6(1). 14–21. 9 indexed citations
14.
Freedman, Matthew T., et al.. (1998). Anatomic region-based dynamic range compression for chest radiographs using warping transformation of correlated distribution. IEEE Transactions on Medical Imaging. 17(3). 407–418. 1 indexed citations
15.
Freedman, Matthew T., et al.. (1998). Automated segmentation of anatomic regions in chest radiographs using an adaptive‐sized hybrid neural network. Medical Physics. 25(6). 998–1007. 37 indexed citations
16.
Levine, Betty A., Kevin Cleary, & Seong K. Mun. (1998). Deployable teleradiology: Bosnia and beyond. IEEE Transactions on Information Technology in Biomedicine. 2(1). 30–34. 9 indexed citations
17.
Mun, Seong K., et al.. (1998). Deployable teleradiology and telemedicine for the US military. Computer Methods and Programs in Biomedicine. 57(1-2). 21–27. 14 indexed citations
18.
Levine, Betty A., et al.. (1996). Teleradiology over the Internet. PubMed Central. 886–886. 1 indexed citations
19.
Mun, Seong K., et al.. (1996). Health Systems Evaluation of Telemedicine: A Staged Approach. PubMed. 2(4). 303–312. 67 indexed citations
20.
Lo, S.-C.B., Brian Krasner, & Seong K. Mun. (1990). Noise impact on error-free image compression. IEEE Transactions on Medical Imaging. 9(2). 202–206. 30 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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