Xiuyi Jia
- Computational Theory and Mathematics top 0.5%
- Rough Sets and Fuzzy Logic 23
-
- Image Retrieval and Classification Techniques 14
- Image Enhancement Techniques 9
- Face and Expression Recognition 7
- Video Surveillance and Tracking Methods 5
- Computational Mathematics top 5%
- Artificial Intelligence top 1%
- Text and Document Classification Technologies 30
- Signal Processing top 2%
- Music and Audio Processing 17
-
- Data Mining Algorithms and Applications 12
- Co-authors
- Lin ShangWeiwei LiZhenmin TangWenhe LiaoHuaxiong LiZechao LiChao ZhangChunlin Chen
- Cited by
- Computational Theory and MathematicsComputer Vision and Pattern RecognitionComputational Mathematics
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Image Processing (1 paper)Pattern Recognition (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Xiuyi Jia
76 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 97
- Computational Theory and Mathematics 845
- Computer Vision and Pattern Recognition 848
- Computational Mathematics 23
- Artificial Intelligence 1.1k
- Signal Processing 312
Countries citing papers authored by Xiuyi Jia
This map shows the geographic impact of Xiuyi Jia'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 Xiuyi Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiuyi Jia more than expected).
Fields of papers citing papers by Xiuyi Jia
This network shows the impact of papers produced by Xiuyi Jia. 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 Xiuyi Jia. The network helps show where Xiuyi Jia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiuyi Jia, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 30 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 1 | |
| 11 | 2021 | 18 | |
| 12 | 2020 | 36 | |
| 13 | 2019 | 51 | |
| 14 | 2019 | 72 | |
| 15 | 2018 | 67 | |
| 16 | 2017 | 7 | |
| 17 | 2015 | 94 | |
| 18 | 2013 | 105 | |
| 19 | Feature selection algorithm based on Hellinger distance | 2010 | 1 |
| 20 | 2008 | 3 |
About Xiuyi Jia
Xiuyi Jia is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics and Signal Processing, having authored 83 papers that have together received 2.0k indexed citations. Recurring topics across this work include Text and Document Classification Technologies (30 papers), Rough Sets and Fuzzy Logic (23 papers), Music and Audio Processing (17 papers), Image Retrieval and Classification Techniques (14 papers), Data Mining Algorithms and Applications (12 papers), Image Enhancement Techniques (9 papers), Face and Expression Recognition (7 papers) and Video Surveillance and Tracking Methods (5 papers). The work is most often cited by research in Computational Theory and Mathematics (845 citations), Computer Vision and Pattern Recognition (848 citations) and Computational Mathematics (23 citations). Xiuyi Jia has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Lin Shang, Weiwei Li, Zhenmin Tang, Wenhe Liao, Huaxiong Li, Zechao Li, Chao Zhang, Chunlin Chen, Zhuoran Zheng and Zhiqiu Huang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.
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.