Peng Hu
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Media Technology top 2%
- Signal Processing top 5%
- Aerospace Engineering top 10%
- Topics
- Advanced Image and Video Retrieval Techniques (39 papers)Domain Adaptation and Few-Shot Learning (22 papers)Multimodal Machine Learning Applications (18 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingPattern Recognition
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Peng Hu
83 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 2.2k
- Artificial Intelligence 1.4k
- Media Technology 225
- Signal Processing 166
- Aerospace Engineering 134
Countries citing papers authored by Peng Hu
This map shows the geographic impact of Peng Hu'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 Peng Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Hu more than expected).
Fields of papers citing papers by Peng Hu
This network shows the impact of papers produced by Peng Hu. 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 Peng Hu. The network helps show where Peng Hu may publish in the future.
Co-authorship network of co-authors of Peng Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Peng Hu. A scholar is included among the top collaborators of Peng Hu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peng Hu. Peng Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 28 | |
| 8 | 4 | |
| 9 | 20 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 35 | |
| 13 | 21 | |
| 14 | 5 | |
| 15 | 9 | |
| 16 | 4 | |
| 17 | Partially View-aligned Clustering | 40 |
| 18 | 4 | |
| 19 | 247 | |
| 20 | 17 |
About Peng Hu
Peng Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 88 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (39 papers), Domain Adaptation and Few-Shot Learning (22 papers) and Multimodal Machine Learning Applications (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.2k citations), Artificial Intelligence (1.4k citations) and Media Technology (225 citations). Peng Hu has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Dezhong Peng, Xi Peng, Liangli Zhen, Xu Wang, Yunfan Li, Joey Tianyi Zhou, Zitao Liu, Jiancheng Lv, Zhenyu Huang and Hongyuan Zhu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.
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.