Xiaoran Chen
Impact in
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- Medical Image Segmentation Techniques
- Advanced Vision and Imaging
- Generative Adversarial Networks and Image Synthesis
- Advanced Neural Network Applications
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Medical Image Segmentation Techniques 7
- Optical measurement and interference techniques 3
- Advanced Vision and Imaging 2
- Generative Adversarial Networks and Image Synthesis 2
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- Brain Tumor Detection and Classification 4
- Co-authors
- Luc Van Gool (3 shared papers)Yuhua Chen (2 shared papers)Wen Li (1 shared paper)Ender Konukoğlu (7 shared papers)Kerem Can Tezcan (3 shared papers)Neerav Karani (1 shared paper)Ben Glocker (2 shared papers)Anna Volokitin (1 shared paper)
- Journals
- Medical Image Analysis (2 papers)GigaScience (1 paper)Neuro-Oncology Advances (1 paper)Lecture notes in computer science (3 papers)IEEE Winter Conference on Applications of Computer Vision (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Xiaoran Chen
16 papers receiving 392 citations
Peers
Comparison fields: 5 of 44
- Computer Vision and Pattern Recognition 208
- Health Informatics 20
- Artificial Intelligence 200
- Neurology 27
- Radiology, Nuclear Medicine and Imaging 24
Countries citing papers authored by Xiaoran Chen
This map shows the geographic impact of Xiaoran Chen'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 Xiaoran Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoran Chen more than expected).
Fields of papers citing papers by Xiaoran Chen
This network shows the impact of papers produced by Xiaoran Chen. 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 Xiaoran Chen. The network helps show where Xiaoran Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoran Chen, 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 | 177 | |
| 2 | 2020 | 87 | |
| 3 | 2020 | 43 | |
| 4 | 2020 | 27 | |
| 5 | 2019 | 16 | |
| 6 | 2014 | 11 | |
| 7 | 2021 | 9 | |
| 8 | 2019 | 5 | |
| 9 | The OOD Blind Spot of Unsupervised Anomaly Detection. | 2021 | 5 |
| 10 | 2022 | 5 | |
| 11 | 2025 | 4 | |
| 12 | 2016 | 3 | |
| 13 | 2025 | 3 | |
| 14 | 2021 | 2 | |
| 15 | Non-destructive testing (NDT) by laser shearography and fringe projection | 2013 | 1 |
| 16 | 2013 | 1 |
About Xiaoran Chen
Xiaoran Chen is a scholar working on Computer Vision and Pattern Recognition, Neurology, Artificial Intelligence, Health Informatics and Radiation, having authored 16 papers that have together received 399 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Brain Tumor Detection and Classification (4 papers), Anomaly Detection Techniques and Applications (4 papers), Optical measurement and interference techniques (3 papers), Advanced Vision and Imaging (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Radiotherapy Techniques (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (208 citations), Health Informatics (20 citations), Artificial Intelligence (200 citations), Neurology (27 citations) and Radiology, Nuclear Medicine and Imaging (24 citations). Xiaoran Chen has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Luc Van Gool, Yuhua Chen, Wen Li, Ender Konukoğlu, Kerem Can Tezcan, Neerav Karani, Ben Glocker, Anna Volokitin, Nick Pawlowski and Ertunç Erdil. Their work appears in journals such as Medical Image Analysis, GigaScience, Neuro-Oncology Advances, Lecture notes in computer science and IEEE Winter Conference on Applications of Computer Vision.
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.