W. Wu

10.8k citations
35 papers · 267 indexed · h-index 8

Impact in

Papers in

    • Neutrino Physics Research 6
    • Particle Detector Development and Performance 5
    • Dark Matter and Cosmic Phenomena 4
    • Particle physics theoretical and experimental studies 3

W. Wu

27 papers receiving 262 citations

Peers

W. Wu
Comparison fields: 5 of 87
  • Health Informatics 8
  • Transportation 32
  • Health, Toxicology and Mutagenesis 61
  • Modeling and Simulation 17
  • Computer Science Applications 16
Replace Nuno Sousa with:
Nuno Sousa Portugal
N.E. Ligterink Netherlands
Nima Nikzad United States
Mehran Javanmardi United States
Cuong Dinh Tran Vietnam
Yunzhe Liu United Kingdom
Jiaxun Liu China
Xiuyan Liu China
Dario García-Gasulla Spain
L D Shorrock United Kingdom
W. Wu relative to Nuno Sousa Portugal Nuno Sousa's profile →
Citations per field
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Citations per year

Countries citing papers authored by W. Wu

Since Specialization
Citations

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

Fields of papers citing papers by W. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201642
2 202139
3 202230
4 202229
5 202325
6 201921
7 201417
8 20178
9 20237
10 20216
11 20225
12 20195
13 20234
14 20234
15 20154
16 20203
17 20193
18 20222
19 20192
20 20252

About W. Wu

W. Wu is a scholar working on Nuclear and High Energy Physics, Radiation, Pollution, Industrial and Manufacturing Engineering and Health, Toxicology and Mutagenesis, having authored 35 papers that have together received 267 indexed citations. Recurring topics across this work include Neutrino Physics Research (6 papers), Particle Detector Development and Performance (5 papers), Power Transformer Diagnostics and Insulation (5 papers), Dark Matter and Cosmic Phenomena (4 papers), Urban Green Space and Health (3 papers), High voltage insulation and dielectric phenomena (3 papers), Particle physics theoretical and experimental studies (3 papers) and Land Use and Ecosystem Services (3 papers). The work is most often cited by research in Health Informatics (8 citations), Transportation (32 citations), Health, Toxicology and Mutagenesis (61 citations), Modeling and Simulation (17 citations) and Computer Science Applications (16 citations). W. Wu has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Yurong Zhang, Yuanfeng Wang, Yao Yao, Ruoyu Wang, Yang Xiao, Bo Xie, Siyu Miao, Yuhang Zhang, Mengqiu Cao and Davy Tsz Kit Ng. Their work appears in journals such as IEEE Access, Review of Scientific Instruments, The Journal of Engineering, Scientific Reports and Journal of Environmental Management.

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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