Xiaoding Yuan
Impact in
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
Papers in
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- Advanced Vision and Imaging 3
- Advanced Neural Network Applications 3
- Human Pose and Action Recognition 2
- Multimodal Machine Learning Applications 2
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- Advanced biosensing and bioanalysis techniques 2
- Co-authors
- Ruo Yuan (2 shared papers)Yamin Nie (2 shared papers)Yaqin Chai (2 shared papers)Pu Zhang (1 shared paper)Alan Yuille (6 shared papers)Adam Kortylewski (5 shared papers)Xiu‐Li Tao (1 shared paper)Ying Zhou (1 shared paper)
- Journals
- Analytical Chemistry (2 papers)Journal of Exposure Science & Environmental Epidemiology (1 paper)IEEE/CAA Journal of Automatica Sinica (1 paper)Lecture notes in computer science (1 paper)FreiDok plus (Universitätsbibliothek Freiburg) (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Xiaoding Yuan
10 papers receiving 287 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 100
- Computer Graphics and Computer-Aided Design 15
- Electrochemistry 23
- Molecular Biology 139
- Computational Mathematics 1
Countries citing papers authored by Xiaoding Yuan
This map shows the geographic impact of Xiaoding Yuan'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 Xiaoding Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoding Yuan more than expected).
Fields of papers citing papers by Xiaoding Yuan
This network shows the impact of papers produced by Xiaoding Yuan. 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 Xiaoding Yuan. The network helps show where Xiaoding Yuan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoding Yuan, 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 | 2019 | 99 | |
| 2 | 2020 | 47 | |
| 3 | 2022 | 46 | |
| 4 | 2021 | 33 | |
| 5 | 2022 | 20 | |
| 6 | 2021 | 18 | |
| 7 | 2023 | 11 | |
| 8 | 2020 | 10 | |
| 9 | 2024 | 9 | |
| 10 | 2024 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 |
About Xiaoding Yuan
Xiaoding Yuan is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Artificial Intelligence, Computer Graphics and Computer-Aided Design and Automotive Engineering, having authored 12 papers that have together received 294 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (3 papers), Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Human Pose and Action Recognition (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Computer Graphics and Visualization Techniques (2 papers), Multimodal Machine Learning Applications (2 papers) and Gold and Silver Nanoparticles Synthesis and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (100 citations), Computer Graphics and Computer-Aided Design (15 citations), Electrochemistry (23 citations), Molecular Biology (139 citations) and Computational Mathematics (1 citation). Xiaoding Yuan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Ruo Yuan, Yamin Nie, Yaqin Chai, Pu Zhang, Alan Yuille, Adam Kortylewski, Xiu‐Li Tao, Ying Zhou, Ying Zhuo and Alois Knoll. Their work appears in journals such as Analytical Chemistry, Journal of Exposure Science & Environmental Epidemiology, IEEE/CAA Journal of Automatica Sinica, Lecture notes in computer science and FreiDok plus (Universitätsbibliothek Freiburg).
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.