W. Wu
Impact in
- Transportation top 10%
- Urban Transport and Accessibility
Papers in
-
- Neutrino Physics Research 7
- Dark Matter and Cosmic Phenomena 5
- Particle Detector Development and Performance 5
- Astrophysics and Cosmic Phenomena 4
-
- Power Transformer Diagnostics and Insulation 5
- Co-authors
- Yuanfeng Wang (1 shared paper)Yurong Zhang (1 shared paper)Yao Yao (2 shared papers)Ruoyu Wang (2 shared papers)Yang Xiao (1 shared paper)Bo Xie (1 shared paper)Yuhang Zhang (1 shared paper)Siyu Miao (1 shared paper)
- Journals
- IEEE Access (2 papers)Review of Scientific Instruments (2 papers)Journal of Translational Medicine (2 papers)The Journal of Engineering (2 papers)Mathematical Biosciences & Engineering (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
W. Wu
31 papers receiving 285 citations
Peers
Comparison fields: 5 of 90
- Health Informatics 9
- Transportation 36
- Health, Toxicology and Mutagenesis 60
- Modeling and Simulation 17
- Computer Science Applications 17
Countries citing papers authored by W. Wu
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
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.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 45 | |
| 2 | 2021 | 42 | |
| 3 | 2022 | 30 | |
| 4 | 2022 | 30 | |
| 5 | 2023 | 28 | |
| 6 | 2019 | 22 | |
| 7 | 2014 | 17 | |
| 8 | 2017 | 8 | |
| 9 | 2023 | 8 | |
| 10 | 1 Results from the AMANDA High Energy Neutrino Detector | 2000 | 6 |
| 11 | 2021 | 6 | |
| 12 | 2019 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2015 | 4 | |
| 17 | 2019 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2009 | 3 |
About W. Wu
W. Wu is a scholar working on Nuclear and High Energy Physics, Electrical and Electronic Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics and Radiation, having authored 43 papers that have together received 291 indexed citations. Recurring topics across this work include Neutrino Physics Research (7 papers), Dark Matter and Cosmic Phenomena (5 papers), Power Transformer Diagnostics and Insulation (5 papers), Particle Detector Development and Performance (5 papers), Astrophysics and Cosmic Phenomena (4 papers), Radiation Detection and Scintillator Technologies (3 papers), Land Use and Ecosystem Services (3 papers) and Urban Green Space and Health (3 papers). The work is most often cited by research in Health Informatics (9 citations), Transportation (36 citations), Health, Toxicology and Mutagenesis (60 citations), Modeling and Simulation (17 citations) and Computer Science Applications (17 citations). W. Wu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Yuanfeng Wang, Yurong Zhang, Yao Yao, Ruoyu Wang, Yang Xiao, Bo Xie, Yuhang Zhang, Siyu Miao, Mengqiu Cao and Davy Tsz Kit Ng. Their work appears in journals such as IEEE Access, Review of Scientific Instruments, Journal of Translational Medicine, The Journal of Engineering and Mathematical Biosciences & 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.