Xiaochen Du
Impact in
- Structural Biology top 2%
- Advanced Electron Microscopy Techniques and Applications
- Surfaces, Coatings and Films top 10%
- Electron and X-Ray Spectroscopy Techniques
Papers in
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- Advanced Electron Microscopy Techniques and Applications 3
-
- Machine Learning in Materials Science 3
- Co-authors
- J. E. Thomas (2 shared papers)Le Luo (1 shared paper)Bason Clancy (1 shared paper)Hailin Feng (3 shared papers)Shengyong Chen (2 shared papers)Alberto Bartesaghi (3 shared papers)Ye Zhou (3 shared papers)Roel M. Schaaper (2 shared papers)
- Journals
- BioResources (2 papers)Physical Review Letters (2 papers)Nature Methods (1 paper)Acta Crystallographica Section A Foundations and Advances (1 paper)Computers and Electronics in Agriculture (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Xiaochen Du
14 papers receiving 273 citations
Peers
Comparison fields: 5 of 63
- Structural Biology 73
- Surfaces, Coatings and Films 44
- Atomic and Molecular Physics, and Optics 103
- Biophysics 15
- Condensed Matter Physics 29
Countries citing papers authored by Xiaochen Du
This map shows the geographic impact of Xiaochen Du'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 Xiaochen Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaochen Du more than expected).
Fields of papers citing papers by Xiaochen Du
This network shows the impact of papers produced by Xiaochen Du. 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 Xiaochen Du. The network helps show where Xiaochen Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaochen Du, 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 | 2008 | 71 | |
| 2 | 2021 | 63 | |
| 3 | 2015 | 30 | |
| 4 | 2023 | 28 | |
| 5 | 2023 | 25 | |
| 6 | 2009 | 22 | |
| 7 | 2018 | 22 | |
| 8 | 2020 | 5 | |
| 9 | 2025 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2020 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2017 | 2 | |
| 14 | 2021 | 1 |
About Xiaochen Du
Xiaochen Du is a scholar working on Structural Biology, Materials Chemistry, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 14 papers that have together received 280 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (3 papers), Advanced Electron Microscopy Techniques and Applications (3 papers), Electron and X-Ray Spectroscopy Techniques (2 papers), Industrial Vision Systems and Defect Detection (2 papers), Atomic and Subatomic Physics Research (2 papers), Cold Atom Physics and Bose-Einstein Condensates (2 papers), Physics of Superconductivity and Magnetism (1 paper) and Advanced X-ray Imaging Techniques (1 paper). The work is most often cited by research in Structural Biology (73 citations), Surfaces, Coatings and Films (44 citations), Atomic and Molecular Physics, and Optics (103 citations), Biophysics (15 citations) and Condensed Matter Physics (29 citations). Xiaochen Du has collaborated with scholars based in United States, China and Italy. Frequent co-authors include J. E. Thomas, Le Luo, Bason Clancy, Hailin Feng, Shengyong Chen, Alberto Bartesaghi, Ye Zhou, Roel M. Schaaper, Jonathan Bouvette and Mario J. Borgnia. Their work appears in journals such as BioResources, Physical Review Letters, Nature Methods, Acta Crystallographica Section A Foundations and Advances and Computers and Electronics in Agriculture.
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.