Jing Liu
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- Advanced Image Processing Techniques 32
- Image Enhancement Techniques 26
- Advanced Image and Video Retrieval Techniques 24
- Advanced Vision and Imaging 23
- Visual Attention and Saliency Detection 22
- Image and Video Quality Assessment 21
- Generative Adversarial Networks and Image Synthesis 14
- Computational Mathematics top 5%
- Media Technology top 0.5%
- Artificial Intelligence top 1%
- Topic Modeling 14
- Health Informatics top 5%
- Journals
- IEEE Transactions on Multimedia (15 papers)IEEE Transactions on Circuits and Systems for Video Technology (9 papers)IEEE Access (9 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jing Liu
295 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Computer Vision and Pattern Recognition 1.8k
- Computational Mathematics 34
- Media Technology 469
- Artificial Intelligence 1.1k
- Health Informatics 34
Countries citing papers authored by Jing Liu
This map shows the geographic impact of Jing Liu'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 Jing Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Liu more than expected).
Fields of papers citing papers by Jing Liu
This network shows the impact of papers produced by Jing Liu. 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 Jing Liu. The network helps show where Jing Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jing Liu, 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 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 19 | |
| 15 | 2022 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2020 | 5 | |
| 18 | 2018 | 4 | |
| 19 | 2013 | 3 | |
| 20 | 2013 | 23 |
About Jing Liu
Jing Liu is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics and Artificial Intelligence, having authored 334 papers that have together received 4.1k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (32 papers), Image Enhancement Techniques (26 papers), Advanced Image and Video Retrieval Techniques (24 papers), Advanced Vision and Imaging (23 papers), Visual Attention and Saliency Detection (22 papers), Image and Video Quality Assessment (21 papers), Topic Modeling (14 papers) and Generative Adversarial Networks and Image Synthesis (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Computational Mathematics (34 citations) and Media Technology (469 citations). Jing Liu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Guangtao Zhai, Yuting Su, Xiaokang Yang, Xiongkuo Min, Ji Zhang, Zhicheng Li, Qihua Li, Yinsheng Chen, Jiangwei Lao and Peiguang Jing. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Access, Signal Processing and Journal of Visual Communication and Image Representation.
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.