Wei-Dar Chen

410 citations
23 papers · 317 · h-index 10

Impact in

Papers in

Wei-Dar Chen

21 papers receiving 309 citations

Peers

Wei-Dar Chen
Comparison fields: 5 of 80
  • Aging 26
  • Endocrine and Autonomic Systems 75
  • Ophthalmology 33
  • Physiology 60
  • Automotive Engineering 29
Replace Yujun Yao with:
Yujun Yao China
Wei-Chieh Huang Taiwan
Jiaju Wang China
Takumi Kato Japan
Won–Cheol Lee South Korea
Ankush Bansal India
L. Lloyd Morgan United States
Yixuan Liao China
Seong‐Wook Choi South Korea
Samira Shamsir United States
Wei-Dar Chen relative to Yujun Yao China Yujun Yao's profile →
Citations per field
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Yujun Yao · 1×
Citations per year

Countries citing papers authored by Wei-Dar Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Dar Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201471
2 201547
3 200932
4 201429
5 201422
6
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201121
7 201220
8 202014
9 202112
10 201910
11 20099
12 20138
13 20237
14 20183
15 20242
16 20232
17 20212
18 20142
19 20132
20 20211

About Wei-Dar Chen

Wei-Dar Chen is a scholar working on Ophthalmology, Electrical and Electronic Engineering, Automotive Engineering, Physiology and Molecular Biology, having authored 23 papers that have together received 317 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (3 papers), Retinal Diseases and Treatments (3 papers), Photovoltaic System Optimization Techniques (2 papers), Wireless Power Transfer Systems (2 papers), Circadian rhythm and melatonin (2 papers), Retinal and Optic Conditions (2 papers), Ocular Diseases and Behçet’s Syndrome (2 papers) and Energy Harvesting in Wireless Networks (2 papers). The work is most often cited by research in Aging (26 citations), Endocrine and Autonomic Systems (75 citations), Ophthalmology (33 citations), Physiology (60 citations) and Automotive Engineering (29 citations). Wei-Dar Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Paul C.-P. Chao, Ching‐Lin Hsieh, Ming‐Shien Wen, Shian‐Sen Shie, Tsong‐Hai Lee, Chun‐Chieh Wang, Hung-Ta Wo, Yu‐Lun Lo, Chao‐Yung Wang and Chin‐Teng Lin. Their work appears in journals such as Microsystem Technologies, Biochemical and Biophysical Research Communications, American Journal Of Pathology, BMC Infectious Diseases and Journal of Display Technology.

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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