Pengfei Xu
-
- Advanced Image and Video Retrieval Techniques 18
- Image Retrieval and Classification Techniques 17
- Human Pose and Action Recognition 8
- Advanced Neural Network Applications 8
- Video Surveillance and Tracking Methods 7
- Face and Expression Recognition 6
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning 7
- Media Technology top 5%
-
- Robotics and Sensor-Based Localization 5
- Journals
- IEEE Transactions on Image Processing (1 paper)Sensors (1 paper)International Journal of Computer Vision (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Pengfei Xu
49 papers receiving 874 citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 678
- Artificial Intelligence 366
- Media Technology 76
- Computational Mathematics 3
- Safety, Risk, Reliability and Quality 39
Countries citing papers authored by Pengfei Xu
This map shows the geographic impact of Pengfei Xu'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 Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengfei Xu more than expected).
Fields of papers citing papers by Pengfei Xu
This network shows the impact of papers produced by Pengfei Xu. 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 Xu. The network helps show where Pengfei Xu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pengfei Xu, 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 | 5 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2021 | 15 | |
| 6 | 2020 | 33 | |
| 7 | 2020 | 31 | |
| 8 | Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks | 2020 | 27 |
| 9 | E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy | 2019 | 0 |
| 10 | E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy | 2019 | 3 |
| 11 | 2019 | 1 | |
| 12 | 2018 | 5 | |
| 13 | 2016 | 106 | |
| 14 | 2013 | 1 | |
| 15 | 2011 | 4 | |
| 16 | 2010 | 1 | |
| 17 | 2010 | 2 | |
| 18 | 2010 | 2 | |
| 19 | 2010 | 4 | |
| 20 | 2009 | 4 |
About Pengfei Xu
Pengfei Xu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 53 papers that have together received 901 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (18 papers), Image Retrieval and Classification Techniques (17 papers), Human Pose and Action Recognition (8 papers), Advanced Neural Network Applications (8 papers), Video Surveillance and Tracking Methods (7 papers), Domain Adaptation and Few-Shot Learning (7 papers), Face and Expression Recognition (6 papers) and Robotics and Sensor-Based Localization (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (678 citations), Artificial Intelligence (366 citations) and Media Technology (76 citations). Pengfei Xu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Hongxun Yao, Sicheng Zhao, Runbo Hu, Kurt Keutzer, Xiaoshuai Sun, Kuiyuan Yang, Hua Chai, Wei Yu, Rongrong Ji and Antoni B. Chan. Their work appears in journals such as IEEE Transactions on Image Processing, Sensors and International Journal of Computer Vision.
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.