Jia Li
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- Visual Attention and Saliency Detection 39
- Advanced Image and Video Retrieval Techniques 38
- Advanced Neural Network Applications 25
- Image and Video Quality Assessment 18
- Advanced Vision and Imaging 16
- Image Enhancement Techniques 14
- Video Surveillance and Tracking Methods 13
- Image Retrieval and Classification Techniques 13
- Media Technology top 0.5%
- Sensory Systems top 2%
- Signal Processing top 2%
- Artificial Intelligence top 2%
- Co-authors
- Changqun XiaYonghong TianJames Z. WangXiaowu ChenShiming GeYifan ZhaoGio WiederholdMingcan Ma
- Journals
- IEEE Transactions on Image Processing (18 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (8 papers)IEEE Transactions on Circuits and Systems for Video Technology (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jia Li
159 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 150
- Computer Vision and Pattern Recognition 3.1k
- Media Technology 491
- Sensory Systems 165
- Signal Processing 269
- Artificial Intelligence 780
Countries citing papers authored by Jia Li
This map shows the geographic impact of Jia Li'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 Jia Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Li more than expected).
Fields of papers citing papers by Jia Li
This network shows the impact of papers produced by Jia Li. 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 Jia Li. The network helps show where Jia Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jia Li, 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 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 28 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 17 | |
| 11 | 2022 | 14 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 36 | |
| 14 | 2021 | 0 | |
| 15 | 2020 | 52 | |
| 16 | 2020 | 5 | |
| 17 | 2019 | 25 | |
| 18 | Adverse Drug Reaction Related Post Detecting Using Sentiment Feature | 2018 | 2 |
| 19 | 2011 | 11 | |
| 20 | 2011 | 20 |
About Jia Li
Jia Li is a scholar working on Computer Vision and Pattern Recognition, Sensory Systems and Media Technology, having authored 172 papers that have together received 4.1k indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (39 papers), Advanced Image and Video Retrieval Techniques (38 papers), Advanced Neural Network Applications (25 papers), Image and Video Quality Assessment (18 papers), Advanced Vision and Imaging (16 papers), Image Enhancement Techniques (14 papers), Video Surveillance and Tracking Methods (13 papers) and Image Retrieval and Classification Techniques (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.1k citations), Media Technology (491 citations) and Sensory Systems (165 citations). Jia Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Changqun Xia, Yonghong Tian, James Z. Wang, Xiaowu Chen, Shiming Ge, Yifan Zhao, Gio Wiederhold, Mingcan Ma, Tiejun Huang and Zhao Luo. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Circuits and Systems for Video Technology, Optik and Inverse Problems and Imaging.
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.