Xiaoran Chen
Impact in
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- Advanced Vision and Imaging
- Advanced Neural Network Applications
Papers in
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- Optical measurement and interference techniques 5
- Advanced Neural Network Applications 3
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- Advanced Measurement and Metrology Techniques 4
- Co-authors
- Ender Konukoglu (4 shared papers)Xin Liu (1 shared paper)Sicong Li (1 shared paper)Luc Van Gool (1 shared paper)Yuhua Chen (1 shared paper)Wenwen Li (1 shared paper)Wei Han (1 shared paper)Feng Zhang (1 shared paper)
- Journals
- Applied Sciences (3 papers)Angewandte Chemie International Edition (2 papers)Spectrochimica Acta Part B Atomic Spectroscopy (1 paper)Neuro-Oncology Advances (1 paper)Agronomy (1 paper)
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Xiaoran Chen
52 papers receiving 432 citations
Peers
Comparison fields: 5 of 114
- Drug Discovery 1
- Computer Vision and Pattern Recognition 113
- Media Technology 41
- Neurology 26
- Artificial Intelligence 95
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
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 67 | |
| 2 | 2020 | 51 | |
| 3 | 2020 | 39 | |
| 4 | 2022 | 33 | |
| 5 | 2024 | 32 | |
| 6 | Image enhancement effect on the performance of convolutional neural networks | 2019 | 18 |
| 7 | 2021 | 15 | |
| 8 | 2021 | 13 | |
| 9 | 2014 | 12 | |
| 10 | 2025 | 12 | |
| 11 | 2019 | 12 | |
| 12 | 2023 | 11 | |
| 13 | 2021 | 9 | |
| 14 | 2020 | 7 | |
| 15 | 2014 | 7 | |
| 16 | 2018 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2019 | 6 |
About Xiaoran Chen
Xiaoran Chen is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Artificial Intelligence, Aerospace Engineering and Civil and Structural Engineering, having authored 64 papers that have together received 448 indexed citations. Recurring topics across this work include Geotechnical Engineering and Analysis (5 papers), Optical measurement and interference techniques (5 papers), Advanced Measurement and Metrology Techniques (4 papers), AI in cancer detection (4 papers), Geotechnical Engineering and Soil Stabilization (4 papers), Advanced Photocatalysis Techniques (3 papers), Adaptive Control of Nonlinear Systems (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Drug Discovery (1 citation), Computer Vision and Pattern Recognition (113 citations), Media Technology (41 citations), Neurology (26 citations) and Artificial Intelligence (95 citations). Xiaoran Chen has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Ender Konukoglu, Xin Liu, Sicong Li, Luc Van Gool, Yuhua Chen, Wenwen Li, Wei Han, Feng Zhang, Jun Li and Jincai Zhao. Their work appears in journals such as Applied Sciences, Angewandte Chemie International Edition, Spectrochimica Acta Part B Atomic Spectroscopy, Neuro-Oncology Advances and Agronomy.
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.