Chengming Xu
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging
- Molecular Biology
- Biomedical Engineering
- Co-authors
- Yanwei FuChen LiuLi ZhangChengjie WangJilin LiFeiyue HuangYikai WangXiangyang Xue
- Topics
- Domain Adaptation and Few-Shot Learning (6 papers)Multimodal Machine Learning Applications (5 papers)Advanced Neural Network Applications (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingFrontiers in Immunology
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Chengming Xu
21 papers receiving 746 citations
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 479
- Computer Vision and Pattern Recognition 464
- Radiology, Nuclear Medicine and Imaging 74
- Molecular Biology 63
- Biomedical Engineering 57
Countries citing papers authored by Chengming Xu
This map shows the geographic impact of Chengming 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 Chengming Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengming Xu more than expected).
Fields of papers citing papers by Chengming Xu
This network shows the impact of papers produced by Chengming 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 Chengming Xu. The network helps show where Chengming Xu may publish in the future.
Co-authorship network of co-authors of Chengming Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Chengming Xu. A scholar is included among the top collaborators of Chengming 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 Chengming Xu. Chengming 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 91 | |
| 13 | 139 | |
| 14 | 9 | |
| 15 | 10 | |
| 16 | 90 | |
| 17 | 10 | |
| 18 | 55 | |
| 19 | 28 | |
| 20 | 1 |
About Chengming Xu
Chengming Xu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Pharmacy, having authored 25 papers that have together received 754 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (464 citations), Artificial Intelligence (479 citations) and Media Technology (34 citations). Chengming Xu has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Yanwei Fu, Chen Liu, Li Zhang, Chengjie Wang, Jilin Li, Feiyue Huang, Yikai Wang, Xiangyang Xue, Yabiao Wang and Donghao Luo. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Frontiers in Immunology.
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.