Chan Lee

1.4k citations
120 papers · 1.1k · h-index 18

Impact in

Papers in

Chan Lee

90 papers receiving 1.0k citations

Peers

Chan Lee
Comparison fields: 5 of 107
  • Computational Mechanics 307
  • Surfaces, Coatings and Films 86
  • Mechanical Engineering 440
  • Microbiology 7
  • Biomedical Engineering 336
Replace Seongho Park with:
Seongho Park South Korea
Guilian Wang China
Niru Kumari United States
Liding Wang China
Alex McLean Canada
Paul Reverdy United States
Jeong-Jin Kang South Korea
Bo Hu China
Jo M. P. Geraedts Netherlands
Kyung-Min Lee South Korea
Chan Lee relative to Seongho Park South Korea Seongho Park's profile →
Citations per field
00.5×10.8×
Seongho Park · 1×
Citations per year

Countries citing papers authored by Chan Lee

Since Specialization
Citations

This map shows the geographic impact of Chan 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 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 Lee more than expected).

Fields of papers citing papers by Chan Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010165
2 2011120
3 201460
4 201755
5 202139
6 202433
7 201232
8 201330
9 201926
10 201426
11 201725
12 201621
13 201620
14 201819
15 200719
16 202318
17 202417
18 202017
19 201717
20 201815

About Chan Lee

Chan Lee is a scholar working on Biomedical Engineering, Mechanical Engineering, Control and Systems Engineering, Computational Mechanics and Electrical and Electronic Engineering, having authored 120 papers that have together received 1.1k indexed citations. Recurring topics across this work include Prosthetics and Rehabilitation Robotics (23 papers), Muscle activation and electromyography studies (15 papers), Robot Manipulation and Learning (13 papers), Education and Learning Interventions (10 papers), Advanced Memory and Neural Computing (7 papers), Refrigeration and Air Conditioning Technologies (7 papers), Educational Systems and Policies (7 papers) and Aerodynamics and Acoustics in Jet Flows (6 papers). The work is most often cited by research in Computational Mechanics (307 citations), Surfaces, Coatings and Films (86 citations), Mechanical Engineering (440 citations), Microbiology (7 citations) and Biomedical Engineering (336 citations). Chan Lee has collaborated with scholars based in South Korea, Italy and Sudan. Frequent co-authors include Sehoon Oh, Joonwon Kim, Moo Hwan Kim, Ho Seon Ahn, Hyungdae Kim, Soon-Ho Kang, HangJin Jo, Hyungmo Kim, Seyoung Im and Youn Sang Kim. Their work appears in journals such as ACS Nano, International Journal of Hydrogen Energy, IEEE Robotics and Automation Letters, Advanced Functional Materials and Mechanism and Machine Theory.

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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