Risheng Liu
- Computer Vision and Pattern Recognition top 0.1%
- Media Technology top 0.05%
- Aerospace Engineering top 1%
- Artificial Intelligence top 5%
- Biomedical Engineering top 10%
- Topics
- Image Enhancement Techniques (87 papers)Advanced Image Processing Techniques (58 papers)Advanced Image Fusion Techniques (43 papers)
- Journals
- PLoS ONEIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image Processing
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Risheng Liu
198 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Computer Vision and Pattern Recognition 5.9k
- Media Technology 3.2k
- Aerospace Engineering 744
- Artificial Intelligence 464
- Biomedical Engineering 439
Countries citing papers authored by Risheng Liu
This map shows the geographic impact of Risheng 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 Risheng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Risheng Liu more than expected).
Fields of papers citing papers by Risheng Liu
This network shows the impact of papers produced by Risheng 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 Risheng Liu. The network helps show where Risheng Liu may publish in the future.
Co-authorship network of co-authors of Risheng Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Risheng Liu. A scholar is included among the top collaborators of Risheng Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Risheng Liu. Risheng Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 12 | |
| 7 | 25 | |
| 8 | 29 | |
| 9 | 21 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | An interactively reinforced paradigm for joint infrared-visible image fusion and saliency object detectionbreakdown → | 105 |
| 14 | 3 | |
| 15 | 4 | |
| 16 | Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detectionbreakdown → | 520 |
| 17 | 43 | |
| 18 | 16 | |
| 19 | An Inexact Proximal Alternating Direction Method for Non-convex and Non-smooth Matrix Factorization and Beyond. | 1 |
| 20 | Exactly Recovering Low-Rank Matrix in Linear Time via $l_1$ Filter | 1 |
About Risheng Liu
Risheng Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mechanics, having authored 204 papers that have together received 7.3k indexed citations. Recurring topics across this work include Image Enhancement Techniques (87 papers), Advanced Image Processing Techniques (58 papers) and Advanced Image Fusion Techniques (43 papers). The work is most often cited by research in Media Technology (3.2k citations), Computer Vision and Pattern Recognition (5.9k citations) and Computational Mathematics (24 citations). Risheng Liu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xin Fan, Zhongxuan Luo, Jinyuan Liu, Long Ma, Zhiying Jiang, Minjun Hou, Guanyao Wu, Jiaao Zhang, Ming Zhu and Zhongxuan Luo. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.
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.