Pengfei Shi
- Statistics and Probability top 2%
-
- Image Enhancement Techniques 11
- Face and Expression Recognition 7
- Advanced Neural Network Applications 7
- Image Retrieval and Classification Techniques 6
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- Infrastructure Maintenance and Monitoring 15
- Dam Engineering and Safety 9
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- Advanced Image Fusion Techniques 7
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- Underwater Vehicles and Communication Systems 6
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityComputer Vision and Pattern Recognition
- Journals
- PLoS ONE (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Pengfei Shi
71 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 115
- Management Science and Operations Research 373
- Statistics and Probability 149
- Computer Vision and Pattern Recognition 333
- Civil and Structural Engineering 245
- Computational Theory and Mathematics 178
Countries citing papers authored by Pengfei Shi
This map shows the geographic impact of Pengfei Shi'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 Pengfei Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengfei Shi more than expected).
Fields of papers citing papers by Pengfei Shi
This network shows the impact of papers produced by Pengfei Shi. 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 Pengfei Shi. The network helps show where Pengfei Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pengfei Shi, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 12 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 14 | |
| 12 | 2024 | 0 | |
| 13 | 2024 | 4 | |
| 14 | 2024 | 12 | |
| 15 | 2024 | 1 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 13 | |
| 18 | 2023 | 1 | |
| 19 | 2022 | 12 | |
| 20 | 2016 | 1 |
About Pengfei Shi
Pengfei Shi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and General Engineering, having authored 89 papers that have together received 1.4k indexed citations. Recurring topics across this work include Infrastructure Maintenance and Monitoring (15 papers), Image Enhancement Techniques (11 papers), Dam Engineering and Safety (9 papers), Face and Expression Recognition (7 papers), Advanced Neural Network Applications (7 papers), Advanced Image Fusion Techniques (7 papers), Image Retrieval and Classification Techniques (6 papers) and Underwater Vehicles and Communication Systems (6 papers). The work is most often cited by research in Management Science and Operations Research (373 citations), Statistics and Probability (149 citations) and Computer Vision and Pattern Recognition (333 citations). Pengfei Shi has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhizhen Liang, John McPhee, Xinnan Fan, Xinnan Fan, Tiesheng Wang, Jianjun Ni, Lu Li, G. R. Heppler, Yifan Zhu and Zhendong Niu. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.
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.