Wen‐Ming Chen

191 papers receiving 4.5k citations

Wen‐Ming Chen's Hit Papers

Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysis 2022 · 109 citations
1090+1+2Years since publication255075100

Peers

Wen‐Ming Chen
Comparison fields: 5 of 176
  • Virology 264
  • Equine 73
  • Orthopedics and Sports Medicine 327
  • Renewable Energy, Sustainability and the Environment 492
  • Biomedical Engineering 1.2k
Replace Qing Yao with:
Qing Yao China
Jin‐Hong Kim South Korea
Bing Wang China
Shu Zhang China
Qun Yan China
Yu Zhang China
Wenquan Wang China
Hongye Li China
Zemin Li China
R.N. Patel India
Wen‐Ming Chen relative to Qing Yao China Qing Yao's profile →
Citations per field
00.5×10×15×18.3×
Qing Yao · 1×
Citations per year

Countries citing papers authored by Wen‐Ming Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Ming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Ming Chen. 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 Wen‐Ming Chen. The network helps show where Wen‐Ming Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 204 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010265
2 2015195
3 2014191
4 2007186
5 2010141
6 2007115
7 2008110
8
Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysis
Hit paper breakdown →
2022109
9 2009108
10 2010107
11 202390
12 200887
13 201582
14 202282
15 201481
16 200876
17 201971
18 201066
19 201064
20 201464

About Wen‐Ming Chen

Wen‐Ming Chen is a scholar working on Biomedical Engineering, Molecular Biology, Endocrinology, Diabetes and Metabolism, Orthopedics and Sports Medicine and Surgery, having authored 204 papers that have together received 4.7k indexed citations. Recurring topics across this work include Diabetic Foot Ulcer Assessment and Management (26 papers), Lower Extremity Biomechanics and Pathologies (23 papers), HIV/AIDS drug development and treatment (18 papers), HIV Research and Treatment (15 papers), Foot and Ankle Surgery (15 papers), Muscle activation and electromyography studies (13 papers), Prosthetics and Rehabilitation Robotics (12 papers) and Click Chemistry and Applications (10 papers). The work is most often cited by research in Virology (264 citations), Equine (73 citations), Orthopedics and Sports Medicine (327 citations), Renewable Energy, Sustainability and the Environment (492 citations) and Biomedical Engineering (1.2k citations). Wen‐Ming Chen has collaborated with scholars based in China, Taiwan and Belgium. Frequent co-authors include Jo‐Shu Chang, Shih‐Hsin Ho, Xinyong Liu, Yung-Chung Lo, Peter Vee Sin Lee, Peng Zhan, Yuning Song, Christophe Pannecouque, Erik De Clercq and Peng Zhan. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Biomechanics, Bioresource Technology, BMC Musculoskeletal Disorders and Bioorganic & Medicinal Chemistry.

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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