Chunjing Xu
- Computer Vision and Pattern Recognition top 0.1%
- Artificial Intelligence top 1%
- Media Technology top 0.2%
- Aerospace Engineering top 2%
- Industrial and Manufacturing Engineering top 0.5%
- Topics
- Advanced Neural Network Applications (30 papers)Domain Adaptation and Few-Shot Learning (18 papers)Advanced Image and Video Retrieval Techniques (11 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyIndustrial and Manufacturing Engineering
In The Last Decade
Chunjing Xu
59 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Computer Vision and Pattern Recognition 4.4k
- Artificial Intelligence 1.4k
- Media Technology 1.2k
- Aerospace Engineering 588
- Industrial and Manufacturing Engineering 538
Countries citing papers authored by Chunjing Xu
This map shows the geographic impact of Chunjing 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 Chunjing Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunjing Xu more than expected).
Fields of papers citing papers by Chunjing Xu
This network shows the impact of papers produced by Chunjing 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 Chunjing Xu. The network helps show where Chunjing Xu may publish in the future.
Co-authorship network of co-authors of Chunjing Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Chunjing Xu. A scholar is included among the top collaborators of Chunjing 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 Chunjing Xu. Chunjing 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 | 3 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 17 | |
| 6 | Transformer in Transformer | 1 |
| 7 | 5 | |
| 8 | 36 | |
| 9 | 176 | |
| 10 | Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets | 4 |
| 11 | Training Binary Neural Networks through Learning with Noisy Supervision | 7 |
| 12 | SCOP: Scientific Control for Reliable Neural Network Pruning | 11 |
| 13 | 118 | |
| 14 | Kernel Based Progressive Distillation for Adder Neural Networks | 2 |
| 15 | 189 | |
| 16 | DAFL: Data-Free Learning of Student Networks | 4 |
| 17 | LegoNet: Efficient Convolutional Neural Networks with Lego Filters | 18 |
| 18 | 107 | |
| 19 | Learning Versatile Filters for Efficient Convolutional Neural Networks | 20 |
| 20 | 125 |
About Chunjing Xu
Chunjing Xu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 63 papers that have together received 6.3k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (30 papers), Domain Adaptation and Few-Shot Learning (18 papers) and Advanced Image and Video Retrieval Techniques (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.4k citations), Media Technology (1.2k citations) and Industrial and Manufacturing Engineering (538 citations). Chunjing Xu has collaborated with scholars based in China, Sweden and Australia. Frequent co-authors include Yunhe Wang, Chang Xu, Qi Tian, Kai Han, Jianyuan Guo, Hanting Chen, Chao Xu, Yiping Deng, Tianyu Guo and Siwei Ma. Their work appears in journals such as Angewandte Chemie International Edition, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Cellular Physiology.
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.