Chao Xu
- Computer Vision and Pattern Recognition top 0.1%
- Artificial Intelligence top 0.5%
- Media Technology top 0.2%
- Electrical and Electronic Engineering top 10%
- Computational Mechanics top 5%
- Topics
- Advanced Image and Video Retrieval Techniques (36 papers)Image Retrieval and Classification Techniques (24 papers)Domain Adaptation and Few-Shot Learning (21 papers)
- Journals
- SHILAP Revista de lepidopterologíaNano LettersIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Chao Xu
125 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Computer Vision and Pattern Recognition 3.9k
- Artificial Intelligence 2.2k
- Media Technology 969
- Electrical and Electronic Engineering 319
- Computational Mechanics 287
Countries citing papers authored by Chao Xu
This map shows the geographic impact of Chao 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 Chao Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Xu more than expected).
Fields of papers citing papers by Chao Xu
This network shows the impact of papers produced by Chao 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 Chao Xu. The network helps show where Chao Xu may publish in the future.
Co-authorship network of co-authors of Chao Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Chao Xu. A scholar is included among the top collaborators of Chao Xu 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 Chao Xu. Chao Xu 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 | 3 | |
| 4 | Learning to dehaze with polarization | 18 |
| 5 | 176 | |
| 6 | UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging | 8 |
| 7 | SCOP: Scientific Control for Reliable Neural Network Pruning | 11 |
| 8 | 118 | |
| 9 | 64 | |
| 10 | 189 | |
| 11 | Point-of-Interest recommendation algorithm combining location influence | 1 |
| 12 | 12 | |
| 13 | Learning Versatile Filters for Efficient Convolutional Neural Networks | 20 |
| 14 | 22 | |
| 15 | CNNpack: packing convolutional neural networks in the frequency domain | 101 |
| 16 | 90 | |
| 17 | 12 | |
| 18 | 95 | |
| 19 | Vector-valued multi-view semi-supervised learning for multi-label image classification | 31 |
| 20 | 2 |
About Chao Xu
Chao Xu is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics and Acoustics and Ultrasonics, having authored 131 papers that have together received 5.4k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (36 papers), Image Retrieval and Classification Techniques (24 papers) and Domain Adaptation and Few-Shot Learning (21 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.9k citations), Computational Mathematics (74 citations) and Media Technology (969 citations). Chao Xu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Chang Xu, Dacheng Tao, Yunhe Wang, Chunjing Xu, Hanting Chen, Yong Luo, Tianyu Guo, Yiping Deng, Siwei Ma and Wen Gao. Their work appears in journals such as SHILAP Revista de lepidopterología, Nano Letters and IEEE Transactions on Pattern Analysis and Machine 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.