Yongrui Ma
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 1%
- Safety, Risk, Reliability and Quality top 5%
- Biomedical Engineering
- Artificial Intelligence
- Topics
- Image Enhancement Techniques (4 papers)Semiconductor Quantum Structures and Devices (3 papers)Advanced Image Processing Techniques (3 papers)
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionSafety, Risk, Reliability and Quality
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePhysica B Condensed MatterCommunications in Theoretical Physics
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Yongrui Ma
8 papers receiving 726 citations
Hit Papers
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 709
- Media Technology 354
- Safety, Risk, Reliability and Quality 83
- Biomedical Engineering 22
- Artificial Intelligence 20
Countries citing papers authored by Yongrui Ma
This map shows the geographic impact of Yongrui Ma'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 Yongrui Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongrui Ma more than expected).
Fields of papers citing papers by Yongrui Ma
This network shows the impact of papers produced by Yongrui Ma. 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 Yongrui Ma. The network helps show where Yongrui Ma may publish in the future.
Co-authorship network of co-authors of Yongrui Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Yongrui Ma. A scholar is included among the top collaborators of Yongrui Ma 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 Yongrui Ma. Yongrui Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | Learning Factorized Weight Matrix for Joint Image Filtering | 1 |
| 5 | Learning Factorized Weight Matrix for Joint Filtering | 3 |
| 6 | 13 | |
| 7 | 75 | |
| 8 | GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazingbreakdown → | 648 |
About Yongrui Ma
Yongrui Ma is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atomic and Molecular Physics, and Optics, having authored 8 papers that have together received 752 indexed citations. Recurring topics across this work include Image Enhancement Techniques (4 papers), Semiconductor Quantum Structures and Devices (3 papers) and Advanced Image Processing Techniques (3 papers). The work is most often cited by research in Media Technology (354 citations), Computer Vision and Pattern Recognition (709 citations) and Safety, Risk, Reliability and Quality (83 citations). Yongrui Ma has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xiaohong Liu, Jun Chen, Zhihao Shi, Wenxiu Sun, Xiangyu Xu, Xuechao Li and Ming–Hsuan Yang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Physica B Condensed Matter and Communications in Theoretical Physics.
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.