Chan Wha Lee

1.2k citations
22 papers · 858 indexed · 1 hit paper · h-index 14

Chan Wha Lee

22 papers receiving 831 citations

Hit Papers

Effectiveness of the Korean National Cancer Screening Pro...3672017202620202023100200300

Peers

Chan Wha Lee
Comparison fields: 5 of 92
  • Pulmonary and Respiratory Medicine 452
  • Oncology 276
  • Gastroenterology 54
  • Health Informatics 13
  • Radiology, Nuclear Medicine and Imaging 159
Replace Hye Seung Kim with:
Hye Seung Kim South Korea
Yusuke Kurita Japan
Joseph J. Zhao Singapore
Nabil Mansour United States
Tadeusz Orłowski Poland
Eun Jeong Gong South Korea
Eun Hyo Jin South Korea
Atif Saleem United States
Shreyas Saligram United States
Katherine Chorneyko Canada
Chan Wha Lee relative to Hye Seung Kim South Korea Hye Seung Kim's profile →
Citations per field
00.5×1.5×1.9×
Hye Seung Kim · 1×
Citations per year

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

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

All Works

20 of 20 papers shown
#Work
1 20236
2 202127
3 202113
4 20217
5 202010
6 202028
7 201929
8 201947
9 20187
10 201831
11 201883
12 201814
13
Effectiveness of the Korean National Cancer Screening Program in Reducing Gastric Cancer Mortalitybreakdown →
2017367
14 201635
15 20164
16 201659
17 20146
18 201427
19 201310
20 201024

About Chan Wha Lee

Chan Wha Lee is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 858 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers), Gastric Cancer Management and Outcomes (4 papers), Cancer Risks and Factors (3 papers), Colorectal Cancer Screening and Detection (3 papers), Digital Radiography and Breast Imaging (3 papers), Global Cancer Incidence and Screening (2 papers) and Cervical Cancer and HPV Research (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (452 citations), Oncology (276 citations) and Gastroenterology (54 citations). Chan Wha Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Kui Son Choi, Boyoung Park, Jae Kwan Jun, Il Ju Choi, Eun‐Cheol Park, Mina Suh, Hooyeon Lee, Duk-Hyoung Lee, Seung Hoon Song and Kyu‐Won Jung. Their work appears in journals such as Gastroenterology, PLoS ONE and Scientific Reports.

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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