Jong Hyo Kim

2.4k citations
104 papers · 1.8k · h-index 26

Impact in

Papers in

Jong Hyo Kim

99 papers receiving 1.8k citations

Peers

Jong Hyo Kim
Comparison fields: 5 of 119
  • Radiology, Nuclear Medicine and Imaging 789
  • Health Informatics 22
  • Pulmonary and Respiratory Medicine 397
  • Biomedical Engineering 483
  • Gastroenterology 41
Replace Daniël M. de Bruin with:
Daniël M. de Bruin Netherlands
Christine Fink Germany
Rongqin Zheng China
Tianye Niu China
Akira Yamamoto Japan
W DˈSouza United States
Yoshiko Ueno Japan
Barbara Y. Croft United States
Kyung Hee Lee South Korea
Shai Friedland United States
Jong Hyo Kim relative to Daniël M. de Bruin Netherlands Daniël M. de Bruin's profile →
Citations per field
00.5×2.6×
Daniël M. de Bruin · 1×
Citations per year

Countries citing papers authored by Jong Hyo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jong Hyo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong Hyo Kim. 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 Jong Hyo Kim. The network helps show where Jong Hyo Kim may publish in the future.

Co-authors

The 25 scholars most cited alongside Jong Hyo Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jong Hyo Kim Line = papers co-authored together Jong Hyo Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015106
2 2010100
3 201080
4 200570
5 200570
6 202059
7 200458
8 201354
9 202151
10 200347
11 201047
12 200447
13 201244
14 200942
15 202141
16 200539
17 200836
18 202036
19 202131
20 202130

About Jong Hyo Kim

Jong Hyo Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 104 papers that have together received 1.8k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (19 papers), Advanced X-ray and CT Imaging (18 papers), Medical Imaging Techniques and Applications (16 papers), Radiation Dose and Imaging (16 papers), Digital Radiography and Breast Imaging (12 papers), AI in cancer detection (9 papers), Lung Cancer Diagnosis and Treatment (9 papers) and MRI in cancer diagnosis (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (789 citations), Health Informatics (22 citations), Pulmonary and Respiratory Medicine (397 citations), Biomedical Engineering (483 citations) and Gastroenterology (41 citations). Jong Hyo Kim has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Jin Mo Goo, Chulkyun Ahn, Eun‐Ah Park, Chang Won Kim, Hyun Ju Lee, Kwang Gi Kim, Jeong Min Lee, Jung-Gi Im, Youngwoo Kim and Chang Hyun Lee. Their work appears in journals such as European Radiology, Radiology, European Journal of Radiology, Korean Journal of Radiology and Medical Physics.

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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