Xundong Wu
Impact in
- Biophysics top 10%
- Advanced Fluorescence Microscopy Techniques
Papers in
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- Neural dynamics and brain function 4
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- Advanced Fluorescence Microscopy Techniques 3
- Cell Image Analysis Techniques 3
- Co-authors
- Bartlett W. Mel (2 shared papers)Qing Wu (6 shared papers)Hui Yan (1 shared paper)Enrico Stefani (5 shared papers)Ligia Toro (4 shared papers)Yong Wu (3 shared papers)Jyotibdha Acharya (1 shared paper)Panayiota Poirazi (1 shared paper)
- Journals
- Biophysical Journal (3 papers)Neuroscience (1 paper)Computer Aided Geometric Design (1 paper)Neurocomputing (1 paper)Journal of Microscopy (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xundong Wu
15 papers receiving 246 citations
Peers
Comparison fields: 5 of 56
- Structural Biology 12
- Biophysics 35
- Cognitive Neuroscience 109
- Cellular and Molecular Neuroscience 51
- Cardiology and Cardiovascular Medicine 50
Countries citing papers authored by Xundong Wu
This map shows the geographic impact of Xundong 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 Xundong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xundong Wu more than expected).
Fields of papers citing papers by Xundong Wu
This network shows the impact of papers produced by Xundong 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 Xundong Wu. The network helps show where Xundong Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xundong 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 56 | |
| 2 | 2009 | 45 | |
| 3 | 2024 | 27 | |
| 4 | 2021 | 25 | |
| 5 | 2014 | 16 | |
| 6 | 2019 | 13 | |
| 7 | 2015 | 12 | |
| 8 | 2017 | 11 | |
| 9 | Improved Expressivity Through Dendritic Neural Networks. | 2018 | 10 |
| 10 | Activation of mitochondrial ATP-sensitive potassium channels delays ischemia-induced cellular uncoupling in rat heart. | 2004 | 9 |
| 11 | 2020 | 7 | |
| 12 | 2019 | 7 | |
| 13 | 2020 | 7 | |
| 14 | 2015 | 4 | |
| 15 | 2015 | 4 | |
| 16 | 2016 | 0 | |
| 17 | 2019 | 0 |
About Xundong Wu
Xundong Wu is a scholar working on Cognitive Neuroscience, Biophysics, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 17 papers that have together received 253 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (5 papers), Neural dynamics and brain function (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Image Processing Techniques and Applications (3 papers), Cell Image Analysis Techniques (3 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Advanced Vision and Imaging (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Structural Biology (12 citations), Biophysics (35 citations), Cognitive Neuroscience (109 citations), Cellular and Molecular Neuroscience (51 citations) and Cardiology and Cardiovascular Medicine (50 citations). Xundong Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bartlett W. Mel, Qing Wu, Hui Yan, Enrico Stefani, Ligia Toro, Yong Wu, Jyotibdha Acharya, Panayiota Poirazi, Gang Xu and Robert Legenstein. Their work appears in journals such as Biophysical Journal, Neuroscience, Computer Aided Geometric Design, Neurocomputing and Journal of Microscopy.
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.