Kyong Joon Lee

953 citations
40 papers · 575 indexed · h-index 14
Topics
Radiomics and Machine Learning in Medical Imaging (7 papers)Advanced Vision and Imaging (6 papers)Hepatocellular Carcinoma Treatment and Prognosis (5 papers)
Partner nations
South KoreaEthiopiaChina

In The Last Decade

Kyong Joon Lee

38 papers receiving 560 citations

Peers

Kyong Joon Lee
Comparison fields: 5 of 85
  • Radiology, Nuclear Medicine and Imaging 217
  • Surgery 128
  • Pulmonary and Respiratory Medicine 97
  • Biomedical Engineering 88
  • Artificial Intelligence 80
Replace Jeroen Bertels with:
Jeroen Bertels Belgium
Aydın Demircioğlu Germany
R Garberoglio Italy
Maurizio Cè Italy
Chui-Mei Tiu Taiwan
Hwiyoung Kim South Korea
Alexander D. Weston United States
Sarah J. van Riel Netherlands
Vasant Kearney United States
Barbaros S. Erdal United States
Kyong Joon Lee relative to Jeroen Bertels Belgium Jeroen Bertels's profile →
Citations per field
00.5×10×15.5×
Jeroen Bertels · 1×
Citations per year

Countries citing papers authored by Kyong Joon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kyong Joon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyong Joon Lee. 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 Kyong Joon Lee. The network helps show where Kyong Joon Lee may publish in the future.

Co-authorship network of co-authors of Kyong Joon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kyong Joon Lee. A scholar is included among the top collaborators of Kyong Joon Lee 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 Kyong Joon Lee. Kyong Joon Lee 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 1
3 2
4 2
5 2
6 2
7 6
8 14
9 50
10 1
11 47
12 11
13 7
14 6
15 87
16 37
17 40
18 17
19 5
20 14

About Kyong Joon Lee

Kyong Joon Lee is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 40 papers that have together received 575 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Advanced Vision and Imaging (6 papers) and Hepatocellular Carcinoma Treatment and Prognosis (5 papers). The work is most often cited by research in Health Informatics (57 citations), Otorhinolaryngology (56 citations) and Radiology, Nuclear Medicine and Imaging (217 citations). Kyong Joon Lee has collaborated with scholars based in South Korea, Ethiopia and China. Frequent co-authors include Dongjun Choi, Leonard Sunwoo, Tackeun Kim, Youngjune Kim, Si‐Hyuck Kang, Sang Jun Park, Roh‐Eul Yoo, Jae Hyoung Kim, Byung Se Choi and Jungheum Cho. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Access.

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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