Yongwon Cho

1.5k citations
59 papers · 1.0k indexed · h-index 17

Impact in

Papers in

Yongwon Cho

52 papers receiving 992 citations

Peers

Yongwon Cho
Comparison fields: 5 of 126
  • Health Informatics 46
  • Radiology, Nuclear Medicine and Imaging 465
  • Oral Surgery 76
  • Human-Computer Interaction 44
  • Otorhinolaryngology 33
Replace András Lassó with:
András Lassó Canada
Tamás Ungi Canada
Ramin Shahidi United States
Shan Yang Switzerland
Yongjin Zhou China
Avi Ben-Cohen Israel
Baek Hwan Cho South Korea
Wenjun Tan China
Sanghoon Jun South Korea
Emmanuel Wilson United States
Yongwon Cho relative to András Lassó Canada András Lassó's profile →
Citations per field
00.5×2.6×
András Lassó · 1×
Citations per year

Countries citing papers authored by Yongwon Cho

Since Specialization
Citations

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

Fields of papers citing papers by Yongwon Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yongwon Cho, 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 Yongwon Cho Line = papers co-authored together Yongwon Cho links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 20243
3 20241
4 20231
5 20234
6 20239
7 20230
8 20232
9 20235
10 20224
11 20226
12 20218
13 202126
14 20200
15 201959
16
Recurrent Syncope Triggered by Ictal Asystole
20130
17
The reliability and validity of the korean version of the forms of self-criticism/attacking and self-reassuring scale
20112
18
The Prevalences of Anxiety and Depressive Disorders in Patients of Pediatric Sleep Disorders
20093
19
Cardiovascular disease risk in male obstructive sleep apnea patients
20060
20
Spinal Cord Infarction with Anterior Chest Pain
20051

About Yongwon Cho

Yongwon Cho is a scholar working on Radiology, Nuclear Medicine and Imaging, Leadership and Management, Health Informatics, Hepatology and Oral Surgery, having authored 59 papers that have together received 1.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), COVID-19 diagnosis using AI (10 papers), Lung Cancer Diagnosis and Treatment (7 papers), AI in cancer detection (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Advanced MRI Techniques and Applications (5 papers), Medical Imaging Techniques and Applications (4 papers) and Advanced DC-DC Converters (4 papers). The work is most often cited by research in Health Informatics (46 citations), Radiology, Nuclear Medicine and Imaging (465 citations), Oral Surgery (76 citations), Human-Computer Interaction (44 citations) and Otorhinolaryngology (33 citations). Yongwon Cho has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Namkug Kim, Jihye Yun, Bong‐Hwan Kwon, Keewon Shin, Hyun‐Jin Bae, Jung‐Min Kwon, Ryoungwoo Jang, Mingyu Kim, Joon Beom Seo and Woo‐Jun Cha. Their work appears in journals such as European Radiology, Scientific Reports, Journal of Korean Medical Science, Computer Methods and Programs in Biomedicine and Journal of Computer Assisted Tomography.

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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