Nan Pu
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Face recognition and analysis
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
Papers in
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- Multimodal Machine Learning Applications 13
- Advanced Image and Video Retrieval Techniques 11
- Video Surveillance and Tracking Methods 11
- Face and Expression Recognition 6
- Human Pose and Action Recognition 4
- Advanced Vision and Imaging 3
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- Domain Adaptation and Few-Shot Learning 16
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Michael S. Lew (12 shared papers)Erwin M. Bakker (7 shared papers)Yu Liu (8 shared papers)Nicu Sebe (11 shared papers)Zhun Zhong (7 shared papers)Yalan Qin (7 shared papers)Hanzhou Wu (5 shared papers)Wei Chen (1 shared paper)
- Journals
- IEEE Transactions on Multimedia (4 papers)IEEE Transactions on Image Processing (2 papers)Computer Vision and Image Understanding (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Applied Intelligence (1 paper)
- Partner nations
- ChinaItalyNetherlands
In The Last Decade
Nan Pu
28 papers receiving 498 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 359
- Artificial Intelligence 184
- Computational Mathematics 2
- Media Technology 21
- Safety, Risk, Reliability and Quality 12
Countries citing papers authored by Nan Pu
This map shows the geographic impact of Nan Pu'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 Nan Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Pu more than expected).
Fields of papers citing papers by Nan Pu
This network shows the impact of papers produced by Nan Pu. 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 Nan Pu. The network helps show where Nan Pu may publish in the future.
Co-authors
The 25 scholars most cited alongside Nan Pu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 74 | |
| 2 | 2021 | 71 | |
| 3 | 2023 | 47 | |
| 4 | 2023 | 40 | |
| 5 | 2023 | 30 | |
| 6 | 2022 | 26 | |
| 7 | 2021 | 25 | |
| 8 | 2024 | 24 | |
| 9 | 2023 | 20 | |
| 10 | 2019 | 19 | |
| 11 | 2020 | 18 | |
| 12 | 2021 | 17 | |
| 13 | 2023 | 16 | |
| 14 | 2023 | 16 | |
| 15 | 2023 | 13 | |
| 16 | 2024 | 7 | |
| 17 | 2024 | 5 | |
| 18 | 2025 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2023 | 3 |
About Nan Pu
Nan Pu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Urban Studies, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications, having authored 36 papers that have together received 498 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (16 papers), Multimodal Machine Learning Applications (13 papers), Advanced Image and Video Retrieval Techniques (11 papers), Video Surveillance and Tracking Methods (11 papers), Face and Expression Recognition (6 papers), Human Pose and Action Recognition (4 papers), Advanced Vision and Imaging (3 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (359 citations), Artificial Intelligence (184 citations), Computational Mathematics (2 citations), Media Technology (21 citations) and Safety, Risk, Reliability and Quality (12 citations). Nan Pu has collaborated with scholars based in China, Italy and Netherlands. Frequent co-authors include Michael S. Lew, Erwin M. Bakker, Yu Liu, Nicu Sebe, Zhun Zhong, Yalan Qin, Hanzhou Wu, Wei Chen, Wei Chen and Yu Liu. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Image Processing, Computer Vision and Image Understanding, IEEE Transactions on Pattern Analysis and Machine Intelligence and Applied Intelligence.
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.