Junhyun Lee

2.2k citations
42 papers · 1.0k · h-index 15

Impact in

Papers in

Junhyun Lee

40 papers receiving 999 citations

Peers

Junhyun Lee
Comparison fields: 5 of 98
  • Gastroenterology 69
  • Computer Vision and Pattern Recognition 240
  • Emergency Medicine 89
  • Pulmonary and Respiratory Medicine 248
  • Artificial Intelligence 205
Replace Jonathan Gryak with:
Jonathan Gryak United States
Tobias Gehrig Germany
J. Blas Pagador Spain
Alfredo Illanes Germany
Songita A. Choudhury United States
Yali Zheng Hong Kong
Axel Boese Germany
Avi Ben-Cohen Israel
Florent Lalys France
Di-Xiu Xue China
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Citations per field
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Citations per year

Countries citing papers authored by Junhyun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Junhyun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021179
2 2020108
3 201895
4 201864
5 200960
6 201060
7 202250
8 201345
9 201545
10
Totally Laparoscopic Total Gastrectomy Versus Laparoscopically Assisted Total Gastrectomy for Gastric Cancer.
201628
11 201527
12 201227
13 201925
14 201323
15 201617
16 201713
17 201613
18 201012
19 201712
20 201411

About Junhyun Lee

Junhyun Lee is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Gastroenterology, Emergency Medicine and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 1.0k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (18 papers), Advanced Neural Network Applications (3 papers), Minimally Invasive Surgical Techniques (3 papers), Appendicitis Diagnosis and Management (3 papers), Metastasis and carcinoma case studies (3 papers), Human Pose and Action Recognition (2 papers), Central Venous Catheters and Hemodialysis (2 papers) and Gastroesophageal reflux and treatments (2 papers). The work is most often cited by research in Gastroenterology (69 citations), Computer Vision and Pattern Recognition (240 citations), Emergency Medicine (89 citations), Pulmonary and Respiratory Medicine (248 citations) and Artificial Intelligence (205 citations). Junhyun Lee has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Jaewoo Kang, Wook Kim, Bumsoo Kim, Eun‐Sol Kim, Jong Min Baek, Hyunwoo J. Kim, Dosang Lee, Wook Kim, Hwejin Jung and Soo‐Youn Ham. Their work appears in journals such as Digestive Surgery, Annals of Surgical Oncology, Surgical Endoscopy, Surgical Laparoscopy Endoscopy & Percutaneous Techniques and Surgery.

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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