Jae-Hwan Cho

1.3k total citations
120 papers, 985 citations indexed

About

Jae-Hwan Cho is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jae-Hwan Cho has authored 120 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Radiology, Nuclear Medicine and Imaging, 25 papers in Biomedical Engineering and 21 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jae-Hwan Cho's work include Radiation Dose and Imaging (26 papers), Advanced X-ray and CT Imaging (21 papers) and Medical Imaging Techniques and Applications (17 papers). Jae-Hwan Cho is often cited by papers focused on Radiation Dose and Imaging (26 papers), Advanced X-ray and CT Imaging (21 papers) and Medical Imaging Techniques and Applications (17 papers). Jae-Hwan Cho collaborates with scholars based in South Korea, United States and Bahrain. Jae-Hwan Cho's co-authors include Brian K. Kwon, In S. Kim, Byoung Chul Chun, Yong‐Chan Chung, Nanda Gopal Sahoo, Hye Jin Yoo, Yeon Sik Jung, Young Tae Kim, Jin‐Gu Lee and Hyun‐Jin Kim and has published in prestigious journals such as Journal of Membrane Science, Polymer and Frontiers in Microbiology.

In The Last Decade

Jae-Hwan Cho

94 papers receiving 951 citations

Peers

Jae-Hwan Cho
Comparison fields: 5 of 131
  • Biomedical Engineering 303
  • Polymers and Plastics 296
  • Materials Chemistry 192
  • Water Science and Technology 172
  • Radiology, Nuclear Medicine and Imaging 113
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Dongyue Wang China
Bernard Durand France
Mărioara Moldovan Romania
Dong-Hun Han South Korea
Selda Keskin Türkiye
Chan Woo Park South Korea
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Citations per field, relative to Jae-Hwan Cho
Jae-Hwan Cho · 1×
Citations per year, relative to Jae-Hwan Cho
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Countries citing papers authored by Jae-Hwan Cho

Since Specialization
Citations

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

Fields of papers citing papers by Jae-Hwan Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae-Hwan Cho. 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 Jae-Hwan Cho. The network helps show where Jae-Hwan Cho may publish in the future.

Co-authorship network of co-authors of Jae-Hwan Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Jae-Hwan Cho. A scholar is included among the top collaborators of Jae-Hwan Cho 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 Jae-Hwan Cho. Jae-Hwan Cho 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
# Work Indexed citations
1 0
2 0
3 2
4 0
5 4
6 2
7 3
8 1
9 2
10 8
11 9
12 3
13 10
14
Effect of Work Improvement for Promotion of Outpatient Satisfaction on CT Scan
0
15 1
16 3
17 0
18
Evaluation of Usefulness of IDEAL(Iterative decomposition of water and fat with echo asymmetry and least squares estimation) Technique in 3.0T Breast MRI
1
19
Evaluation of Image Quality in Low Tube-Voltage Chest CT Scan
1
20
Impact of Beef and Pork Generic Advertising on Korean Meat Demand
1

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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