Xiaoran Jiang
Impact in
-
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Optical measurement and interference techniques
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
-
- Advanced Vision and Imaging 10
- Advanced Image Processing Techniques 8
- Image Enhancement Techniques 7
- Co-authors
- Christine GuillemotJinglei ShiMikaël Le PenduReuben A. FarrugiaVincent GriponClaude BerrouMichael RabbatShanshan Wei
In The Last Decade
Xiaoran Jiang
14 papers receiving 391 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 362
- Media Technology 77
- Computational Mathematics 4
- Instrumentation 21
- Computer Graphics and Computer-Aided Design 19
Countries citing papers authored by Xiaoran Jiang
This map shows the geographic impact of Xiaoran Jiang'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 Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoran Jiang more than expected).
Fields of papers citing papers by Xiaoran Jiang
This network shows the impact of papers produced by Xiaoran Jiang. 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 Jiang. The network helps show where Xiaoran Jiang may publish in the future.
Co-authors
The 14 scholars most cited alongside Xiaoran Jiang, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 8 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 6 | |
| 8 | 2020 | 14 | |
| 9 | 2020 | 40 | |
| 10 | 2019 | 104 | |
| 11 | 2019 | 24 | |
| 12 | 2018 | 116 | |
| 13 | 2017 | 68 | |
| 14 | 2016 | 1 | |
| 15 | 2015 | 14 | |
| 16 | 2013 | 10 |
About Xiaoran Jiang
Xiaoran Jiang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Media Technology, Signal Processing and Artificial Intelligence, having authored 16 papers that have together received 420 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (10 papers), Advanced Image Processing Techniques (8 papers), Image Enhancement Techniques (7 papers), Neural Networks and Applications (2 papers), Image Processing Techniques and Applications (2 papers), Sparse and Compressive Sensing Techniques (1 paper), Obesity, Physical Activity, Diet (1 paper) and Eating Disorders and Behaviors (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (362 citations), Media Technology (77 citations), Computational Mathematics (4 citations), Instrumentation (21 citations) and Computer Graphics and Computer-Aided Design (19 citations). Xiaoran Jiang has collaborated with scholars based in France, China and Ireland. Frequent co-authors include Christine Guillemot, Jinglei Shi, Mikaël Le Pendu, Reuben A. Farrugia, Vincent Gripon, Claude Berrou, Michael Rabbat, Shanshan Wei, Zhaolin Xiao and Pierrick Philippe. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Computational Imaging, IEEE Journal of Selected Topics in Signal Processing and Signal Processing Image Communication.
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.