Chan Wha Lee

31 total papers · 1.2k total citations
22 papers, 844 citations indexed

About

Chan Wha Lee is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chan Wha Lee has authored 22 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 9 papers in Oncology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chan Wha Lee's work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Gastric Cancer Management and Outcomes (4 papers). Chan Wha Lee is often cited by papers focused on AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Gastric Cancer Management and Outcomes (4 papers). Chan Wha Lee collaborates with scholars based in South Korea, United States and Ethiopia. Chan Wha Lee's co-authors include Kui Son Choi, Boyoung Park, Jae Kwan Jun, Eun‐Cheol Park, Il Ju Choi, Hooyeon Lee, Mina Suh, Duk-Hyoung Lee, Seung Hoon Song and Kyu‐Won Jung and has published in prestigious journals such as Gastroenterology, PLoS ONE and Scientific Reports.

In The Last Decade

Chan Wha Lee

22 papers receiving 816 citations

Hit Papers

Effectiveness of the Kore... 2017 2026 2020 2023 2017 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chan Wha Lee 448 302 271 157 107 22 844
Hye Seung Kim 360 0.8× 202 0.7× 141 0.5× 311 2.0× 42 0.4× 40 768
Lianzhen Zhong 384 0.9× 119 0.4× 204 0.8× 703 4.5× 154 1.4× 22 918
Shengbing Zhao 389 0.9× 209 0.7× 511 1.9× 115 0.7× 48 0.4× 28 791
I. H. Gravelle 295 0.7× 145 0.5× 294 1.1× 109 0.7× 117 1.1× 36 790
Z Kaufman 222 0.5× 400 1.3× 241 0.9× 48 0.3× 53 0.5× 40 862
Donald R. Hawes 179 0.4× 475 1.6× 99 0.4× 193 1.2× 27 0.3× 27 883
Hae Yeon Kang 513 1.1× 405 1.3× 302 1.1× 115 0.7× 62 0.6× 42 896
Joseph J. Zhao 306 0.7× 190 0.6× 304 1.1× 51 0.3× 29 0.3× 40 807
Francesco Persico 280 0.6× 363 1.2× 140 0.5× 162 1.0× 13 0.1× 37 861
T. J. Eide 232 0.5× 536 1.8× 644 2.4× 64 0.4× 49 0.5× 29 1000

Countries citing papers authored by Chan Wha Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chan Wha Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chan Wha Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chan Wha Lee. A scholar is included among the top collaborators of Chan Wha 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 Chan Wha Lee. Chan Wha Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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