Yong‐Hun Lee

86 papers receiving 1.3k citations

Peers

Yong‐Hun Lee
Comparison fields: 5 of 147
  • Anesthesiology and Pain Medicine 103
  • Polymers and Plastics 145
  • Critical Care and Intensive Care Medicine 35
  • Media Technology 57
  • Molecular Biology 329
Replace Sungsoo Lee with:
Sungsoo Lee South Korea
Luwei Liu China
Wensheng He China
Chun‐Nan Chen Taiwan
Haisheng Yang China
Zixiang Liu China
Shuying Yang United Kingdom
Thomas Böhm Germany
Roger J. McNichols United States
Yong‐Hun Lee relative to Sungsoo Lee South Korea Sungsoo Lee's profile →
Citations per field
00.5×10×20×28.5×
Sungsoo Lee · 1×
Citations per year

Countries citing papers authored by Yong‐Hun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Yong‐Hun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998104
2 201088
3 201180
4 201375
5 201457
6 200155
7 202248
8 200246
9 202134
10 201430
11 202028
12 201628
13 201027
14 200226
15 200825
16 201423
17 200523
18 200720
19 201920
20 200020

About Yong‐Hun Lee

Yong‐Hun Lee is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering, Molecular Biology, Anesthesiology and Pain Medicine and Biomedical Engineering, having authored 96 papers that have together received 1.3k indexed citations. Recurring topics across this work include Conducting polymers and applications (13 papers), Organic Electronics and Photovoltaics (9 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), Advanced Numerical Methods in Computational Mathematics (6 papers), Natural Language Processing Techniques (6 papers), Anesthesia and Sedative Agents (6 papers), Hemodynamic Monitoring and Therapy (5 papers) and Numerical methods in engineering (5 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (103 citations), Polymers and Plastics (145 citations), Critical Care and Intensive Care Medicine (35 citations), Media Technology (57 citations) and Molecular Biology (329 citations). Yong‐Hun Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Tae Whan Kim, William P. Schiemann, Dae Hun Kim, Molly A. Taylor, Byung‐Moon Choi, Gyu‐Jeong Noh, Fred Naider, Jeffrey M. Becker, Hanshik Chung and Hyomin Jeong. Their work appears in journals such as Nano Energy, Organic Electronics, Scientific Reports, Frontiers in Immunology and European Journal of Anaesthesiology.

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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