Chenhao Pei
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
Papers in
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- Video Surveillance and Tracking Methods 3
- Advanced Vision and Imaging 2
- Advanced Neural Network Applications 2
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- COVID-19 diagnosis using AI 4
- Co-authors
- Liqin Huang (7 shared papers)Qiang Wu (2 shared papers)Fuping Wu (2 shared papers)Xiahai Zhuang (2 shared papers)Liangyu Li (1 shared paper)Junyi Wu (2 shared papers)Dan Chen (1 shared paper)Lin Pan (3 shared papers)
- Journals
- IEEE Signal Processing Letters (1 paper)IEEE Transactions on Medical Imaging (1 paper)Medical Image Analysis (1 paper)IEEE Access (1 paper)IEEE Transactions on Vehicular Technology (1 paper)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Chenhao Pei
11 papers receiving 201 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 99
- Instrumentation 11
- Automotive Engineering 35
- Radiology, Nuclear Medicine and Imaging 51
- Media Technology 21
Countries citing papers authored by Chenhao Pei
This map shows the geographic impact of Chenhao Pei'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 Chenhao Pei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenhao Pei more than expected).
Fields of papers citing papers by Chenhao Pei
This network shows the impact of papers produced by Chenhao Pei. 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 Chenhao Pei. The network helps show where Chenhao Pei may publish in the future.
Co-authors
The 19 scholars most cited alongside Chenhao Pei, 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 | 2020 | 59 | |
| 2 | 2021 | 53 | |
| 3 | 2019 | 47 | |
| 4 | 2021 | 15 | |
| 5 | 2023 | 14 | |
| 6 | 2025 | 5 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2019 | 2 | |
| 10 | 2019 | 1 | |
| 11 | 2020 | 1 |
About Chenhao Pei
Chenhao Pei is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Automotive Engineering and Health Informatics, having authored 11 papers that have together received 202 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (4 papers), Video Surveillance and Tracking Methods (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced Vision and Imaging (2 papers), Vehicle License Plate Recognition (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Advanced Neural Network Applications (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (99 citations), Instrumentation (11 citations), Automotive Engineering (35 citations), Radiology, Nuclear Medicine and Imaging (51 citations) and Media Technology (21 citations). Chenhao Pei has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Liqin Huang, Qiang Wu, Fuping Wu, Xiahai Zhuang, Liangyu Li, Junyi Wu, Dan Chen, Lin Pan, Bin Zheng and Zhiqiang Shen. Their work appears in journals such as IEEE Signal Processing Letters, IEEE Transactions on Medical Imaging, Medical Image Analysis, IEEE Access and IEEE Transactions on Vehicular Technology.
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.