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 3
- Co-authors
- Ender Konukoglu (2 shared papers)Sicong Li (1 shared paper)Xin Liu (1 shared paper)Yuhua Chen (1 shared paper)Luc Van Gool (1 shared paper)Jun Li (1 shared paper)Wei Han (1 shared paper)Lin Han (1 shared paper)
- Journals
- Applied Sciences (3 papers)Agronomy (1 paper)Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture (1 paper)Journal of Environmental Management (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)
- Partner nations
- ChinaSwitzerlandAustria
In The Last Decade
Xiaoran Chen
45 papers receiving 349 citations
Peers
Comparison fields: 5 of 109
- Drug Discovery 1
- Computer Vision and Pattern Recognition 91
- Media Technology 39
- Neurology 24
- Artificial Intelligence 74
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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 56 | |
| 2 | 2020 | 48 | |
| 3 | 2020 | 34 | |
| 4 | 2022 | 32 | |
| 5 | 2024 | 21 | |
| 6 | Image enhancement effect on the performance of convolutional neural networks | 2019 | 18 |
| 7 | 2021 | 14 | |
| 8 | 2021 | 13 | |
| 9 | 2023 | 11 | |
| 10 | 2019 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2020 | 7 | |
| 13 | 2014 | 6 | |
| 14 | 2018 | 6 | |
| 15 | 2020 | 6 | |
| 16 | The OOD Blind Spot of Unsupervised Anomaly Detection. | 2021 | 5 |
| 17 | 2021 | 5 | |
| 18 | 2019 | 5 | |
| 19 | 2018 | 5 | |
| 20 | 2022 | 4 |
About Xiaoran Chen
Xiaoran Chen is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Artificial Intelligence, Civil and Structural Engineering and Control and Systems Engineering, having authored 54 papers that have together received 362 indexed citations. Recurring topics across this work include Geotechnical Engineering and Analysis (5 papers), Geotechnical Engineering and Soil Stabilization (4 papers), Adaptive Control of Nonlinear Systems (3 papers), Advanced Photocatalysis Techniques (3 papers), Optical measurement and interference techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Atmospheric chemistry and aerosols (3 papers) and Landslides and related hazards (3 papers). The work is most often cited by research in Drug Discovery (1 citation), Computer Vision and Pattern Recognition (91 citations), Media Technology (39 citations), Neurology (24 citations) and Artificial Intelligence (74 citations). Xiaoran Chen has collaborated with scholars based in China, Switzerland and Austria. Frequent co-authors include Ender Konukoglu, Sicong Li, Xin Liu, Yuhua Chen, Luc Van Gool, Jun Li, Wei Han, Lin Han, Wenwen Li and Feng Zhang. Their work appears in journals such as Applied Sciences, Agronomy, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, Journal of Environmental Management and IEEE Transactions on Geoscience and Remote Sensing.
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.