Yuhua Chen
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Media Technology top 5%
- Aerospace Engineering top 10%
- Co-authors
- Jinhong DengLi WenLixin DuanCristian SminchisescuCordelia SchmidDebiao LiPaula J. FosterLuc Van Gool
- Topics
- Advanced MRI Techniques and Applications (12 papers)Medical Imaging Techniques and Applications (10 papers)Cardiac Imaging and Diagnostics (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Yuhua Chen
36 papers receiving 841 citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 470
- Radiology, Nuclear Medicine and Imaging 263
- Artificial Intelligence 207
- Media Technology 115
- Aerospace Engineering 91
Countries citing papers authored by Yuhua Chen
This map shows the geographic impact of Yuhua Chen'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 Yuhua Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuhua Chen more than expected).
Fields of papers citing papers by Yuhua Chen
This network shows the impact of papers produced by Yuhua Chen. 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 Yuhua Chen. The network helps show where Yuhua Chen may publish in the future.
Co-authorship network of co-authors of Yuhua Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Yuhua Chen. A scholar is included among the top collaborators of Yuhua Chen 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 Yuhua Chen. Yuhua Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 13 | |
| 3 | 16 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 11 | |
| 7 | 34 | |
| 8 | 46 | |
| 9 | 15 | |
| 10 | 74 | |
| 11 | 0 | |
| 12 | 21 | |
| 13 | 143 | |
| 14 | 4 | |
| 15 | 31 | |
| 16 | How Useful Is Image Super-resolution to Other Vision Tasks? | 1 |
| 17 | 62 | |
| 18 | 11 | |
| 19 | 26 | |
| 20 | 4 |
About Yuhua Chen
Yuhua Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Media Technology, having authored 37 papers that have together received 858 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (12 papers), Medical Imaging Techniques and Applications (10 papers) and Cardiac Imaging and Diagnostics (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (470 citations), Media Technology (115 citations) and Radiology, Nuclear Medicine and Imaging (263 citations). Yuhua Chen has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Jinhong Deng, Li Wen, Lixin Duan, Cristian Sminchisescu, Cordelia Schmid, Debiao Li, Paula J. Foster, Luc Van Gool, Yibin Xie and Zhaoyang Fan. Their work appears in journals such as PLoS ONE, Advanced Functional Materials and Magnetic Resonance in Medicine.
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.