Pei Yu
Impact in
- Media Technology top 10%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
-
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Advanced Neural Network Applications 4
- Advanced Image and Video Retrieval Techniques 2
- Image Enhancement Techniques 1
- Medical Image Segmentation Techniques 1
- Co-authors
- Shutao Li (2 shared papers)Bin Sun (2 shared papers)Jun Sun (1 shared paper)Zhou Rong (1 shared paper)Xudong Kang (1 shared paper)Di Wang (1 shared paper)Ying Wu (2 shared papers)Fuxun Yu (1 shared paper)
- Journals
- IEEE Transactions on Instrumentation and Measurement (2 papers)Computers & Graphics (1 paper)Neurocomputing (1 paper)IEEE Transactions on Intelligent Vehicles (1 paper)Sensors (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Pei Yu
12 papers receiving 117 citations
Peers
Comparison fields: 5 of 40
- Media Technology 30
- Computer Vision and Pattern Recognition 63
- Neurology 11
- Artificial Intelligence 32
- Radiology, Nuclear Medicine and Imaging 19
Countries citing papers authored by Pei Yu
This map shows the geographic impact of Pei Yu'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 Pei Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei Yu more than expected).
Fields of papers citing papers by Pei Yu
This network shows the impact of papers produced by Pei Yu. 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 Pei Yu. The network helps show where Pei Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Pei Yu, 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 | 2021 | 44 | |
| 2 | 2022 | 34 | |
| 3 | 2021 | 14 | |
| 4 | 2012 | 9 | |
| 5 | 2017 | 6 | |
| 6 | 2016 | 4 | |
| 7 | 2024 | 2 | |
| 8 | 2017 | 2 | |
| 9 | 2024 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2015 | 1 | |
| 13 | 2017 | 0 | |
| 14 | 2025 | 0 |
About Pei Yu
Pei Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 120 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Remote-Sensing Image Classification (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Advanced Image Fusion Techniques (2 papers), Retinal Imaging and Analysis (1 paper), Image Enhancement Techniques (1 paper), Medical Image Segmentation Techniques (1 paper) and Autonomous Vehicle Technology and Safety (1 paper). The work is most often cited by research in Media Technology (30 citations), Computer Vision and Pattern Recognition (63 citations), Neurology (11 citations), Artificial Intelligence (32 citations) and Radiology, Nuclear Medicine and Imaging (19 citations). Pei Yu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Shutao Li, Bin Sun, Jun Sun, Zhou Rong, Xudong Kang, Di Wang, Ying Wu, Fuxun Yu, Sidi Lu and Jiahuan Zhou. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Computers & Graphics, Neurocomputing, IEEE Transactions on Intelligent Vehicles and Sensors.
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.