Gil-Sun Hong

443 citations
33 papers · 279 indexed · h-index 10
Topics
Radiomics and Machine Learning in Medical Imaging (7 papers)COVID-19 diagnosis using AI (6 papers)Lung Cancer Diagnosis and Treatment (4 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Gil-Sun Hong

29 papers receiving 272 citations

Peers

Gil-Sun Hong
Comparison fields: 5 of 60
  • Radiology, Nuclear Medicine and Imaging 149
  • Artificial Intelligence 71
  • Pulmonary and Respiratory Medicine 49
  • Biomedical Engineering 48
  • Epidemiology 43
Replace Yura Ahn with:
Yura Ahn South Korea
Andreas Fieselmann Germany
Azadeh Akhavanallaf Switzerland
Yazdan Salimi Switzerland
Martin Segeroth Switzerland
Guillaume Chabin United States
Alexandre Cadrin-Chênevert Canada
Michael Püsken Germany
Carsten Ammitzbøl Lauridsen Denmark
Reabal Najjar Australia
Gil-Sun Hong relative to Yura Ahn South Korea Yura Ahn's profile →
Citations per field
00.5×2.6×
Yura Ahn · 1×
Citations per year

Countries citing papers authored by Gil-Sun Hong

Since Specialization
Citations

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

Fields of papers citing papers by Gil-Sun Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gil-Sun Hong. 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 Gil-Sun Hong. The network helps show where Gil-Sun Hong may publish in the future.

Co-authorship network of co-authors of Gil-Sun Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Gil-Sun Hong. A scholar is included among the top collaborators of Gil-Sun Hong 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 Gil-Sun Hong. Gil-Sun Hong 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
#WorkIndexed citations
1 0
2 5
3 22
4 1
5 22
6 6
7 3
8 17
9 0
10 22
11 6
12 23
13 0
14 8
15 1
16 19
17 6
18 40
19 1
20 10

About Gil-Sun Hong

Gil-Sun Hong is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Critical Care and Intensive Care Medicine, having authored 33 papers that have together received 279 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), COVID-19 diagnosis using AI (6 papers) and Lung Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Health Informatics (42 citations), Radiology, Nuclear Medicine and Imaging (149 citations) and Hepatology (36 citations). Gil-Sun Hong has collaborated with scholars based in South Korea, United States and Belarus. Frequent co-authors include Namkug Kim, Jae Ho Byun, Choong Wook Lee, Yong Moon Shin, Hyung Jin Won, Heon‐Ju Kwon, Pyo Nyun Kim, Jiyeon Kim, Keewon Shin and Ryoungwoo Jang. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

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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