Wei‐Te Wu

1.3k citations
66 papers · 978 · h-index 18

Impact in

Papers in

Wei‐Te Wu

66 papers receiving 945 citations

Peers

Wei‐Te Wu
Comparison fields: 5 of 125
  • Health, Toxicology and Mutagenesis 243
  • Pollution 79
  • Chemical Health and Safety 4
  • Bioengineering 35
  • Biomedical Engineering 164
Replace Guillaume Suárez with:
Guillaume Suárez Switzerland
James B. D’Arcy United States
Pamela L. Drake United States
Elizabeth Boykin United States
Ju Wan Kang South Korea
Hong-Bae Kim South Korea
Yousuke Kikuchi Japan
Koel Chaudhury India
Suwei Wang China
Lara Leclerc France
Wei‐Te Wu relative to Guillaume Suárez Switzerland Guillaume Suárez's profile →
Citations per field
00.5×3.2×
Guillaume Suárez · 1×
Citations per year

Countries citing papers authored by Wei‐Te Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Te Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Te Wu. 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‐Te Wu. The network helps show where Wei‐Te Wu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201795
2 201092
3 201388
4 201850
5 201542
6 201539
7 201437
8 201929
9 200927
10 201925
11 202223
12 201423
13 201321
14 201819
15 200918
16 201818
17 202118
18 201117
19 201317
20 201916

About Wei‐Te Wu

Wei‐Te Wu is a scholar working on Health, Toxicology and Mutagenesis, Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry and Pulmonary and Respiratory Medicine, having authored 66 papers that have together received 978 indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (14 papers), Air Quality and Health Impacts (13 papers), Photonic and Optical Devices (12 papers), Heavy Metal Exposure and Toxicity (8 papers), Laser Material Processing Techniques (4 papers), Nanoparticles: synthesis and applications (4 papers), Climate Change and Health Impacts (4 papers) and Occupational and environmental lung diseases (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (243 citations), Pollution (79 citations), Chemical Health and Safety (4 citations), Bioengineering (35 citations) and Biomedical Engineering (164 citations). Wei‐Te Wu has collaborated with scholars based in Taiwan, United States and Slovenia. Frequent co-authors include Chien‐Hsing Chen, Saou-Hsing Liou, Trong-Neng Wu, Jaw-Luen Tang, Hui‐Ling Lee, Hui-Yi Liao, Chung‐Ching Wang, Tung‐Sheng Shih, Lai‐Kwan Chau and Ming‐Hsiu Lin. Their work appears in journals such as Sensors, International Journal of Environmental Research and Public Health, Microsystem Technologies, American Journal of Industrial Medicine and PLoS ONE.

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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