Wei-chen Lee

657 citations
45 papers · 523 · h-index 9

Impact in

Papers in

Wei-chen Lee

40 papers receiving 506 citations

Peers

Wei-chen Lee
Comparison fields: 5 of 85
  • Automotive Engineering 142
  • Industrial and Manufacturing Engineering 113
  • Mechanical Engineering 167
  • Biomedical Engineering 183
  • Human-Computer Interaction 18
Replace Ying‐Jun Quan with:
Ying‐Jun Quan South Korea
Liane Makatura United States
Huachao Mao United States
Haitao Liu China
Qiang Zou China
Xue Song Yan China
Qingyuan Hu China
P.K. Rajesh India
Dan Muse United States
Anabel Renteria United States
Wei-chen Lee relative to Ying‐Jun Quan South Korea Ying‐Jun Quan's profile →
Citations per field
00.5×2×4×6×7.8×
Ying‐Jun Quan · 1×
Citations per year

Countries citing papers authored by Wei-chen Lee

Since Specialization
Citations

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

Fields of papers citing papers by Wei-chen Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014142
2 201477
3 201054
4 201541
5
The realization of robot theater: Humanoid robots and theatric performance
200936
6 201432
7 201015
8 201912
9 20239
10 20197
11 20117
12 20156
13 20146
14 20206
15 20205
16 20175
17 20185
18 20175
19 20245
20 20144

About Wei-chen Lee

Wei-chen Lee is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering and Media Technology, having authored 45 papers that have together received 523 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (7 papers), Manufacturing Process and Optimization (6 papers), Advanced machining processes and optimization (6 papers), Advanced Measurement and Metrology Techniques (5 papers), Advanced Machining and Optimization Techniques (4 papers), Robotics and Sensor-Based Localization (4 papers), Robot Manipulation and Learning (4 papers) and Advanced Numerical Analysis Techniques (4 papers). The work is most often cited by research in Automotive Engineering (142 citations), Industrial and Manufacturing Engineering (113 citations), Mechanical Engineering (167 citations), Biomedical Engineering (183 citations) and Human-Computer Interaction (18 citations). Wei-chen Lee has collaborated with scholars based in Taiwan, Germany and Austria. Frequent co-authors include Kuan‐Ming Li, Pin‐Chuan Chen, Wen‐Jang Kuo, Chung‐Hsien Kuo, Chin‐Shyurng Fahn, Chyi‐Yeu Lin, Kuo‐Liang Chung, Ya‐Ping Chiu, Po‐Hsun Ho and Chi‐Te Liang. Their work appears in journals such as Applied Sciences, The International Journal of Advanced Manufacturing Technology, The Journal of Organic Chemistry, Applied Nursing Research and Bio-Medical Materials and Engineering.

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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