Xuejin Chen
- Computer Vision and Pattern Recognition top 1%
- Computer Graphics and Computer-Aided Design top 1%
- Plant Science top 10%
- Artificial Intelligence top 10%
- Computational Mechanics top 10%
- Co-authors
- Zheng-Jun ZhaYingqing XuSing Bing KangZhiwei XiongYongdong ZhangOliver DeußenBoris NeubertFeng Wu
- Topics
- Advanced Vision and Imaging (18 papers)Computer Graphics and Visualization Techniques (17 papers)3D Shape Modeling and Analysis (16 papers)
- Journals
- Nature CommunicationsIEEE Transactions on Pattern Analysis and Machine IntelligenceOptics Express
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xuejin Chen
83 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Computer Vision and Pattern Recognition 762
- Computer Graphics and Computer-Aided Design 192
- Plant Science 192
- Artificial Intelligence 168
- Computational Mechanics 129
Countries citing papers authored by Xuejin Chen
This map shows the geographic impact of Xuejin Chen'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 Xuejin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuejin Chen more than expected).
Fields of papers citing papers by Xuejin Chen
This network shows the impact of papers produced by Xuejin Chen. 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 Xuejin Chen. The network helps show where Xuejin Chen may publish in the future.
Co-authorship network of co-authors of Xuejin Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Xuejin Chen. A scholar is included among the top collaborators of Xuejin Chen 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 Xuejin Chen. Xuejin Chen 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 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 10 | |
| 13 | 5 | |
| 14 | A Robust Deep Attention Network to Noisy Labels in Semi-supervised Biomedical Segmentation. | 4 |
| 15 | 44 | |
| 16 | 67 | |
| 17 | Advances in research on therapeutic antibodies against tumors | 1 |
| 18 | 63 | |
| 19 | A new navel orange cultivar 'Qicheng 52'. | 1 |
| 20 | Research of Cluster Analysis in Data Mining | 1 |
About Xuejin Chen
Xuejin Chen is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 90 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (18 papers), Computer Graphics and Visualization Techniques (17 papers) and 3D Shape Modeling and Analysis (16 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (192 citations), Computer Vision and Pattern Recognition (762 citations) and Geology (93 citations). Xuejin Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zheng-Jun Zha, Yingqing Xu, Sing Bing Kang, Zhiwei Xiong, Yongdong Zhang, Oliver Deußen, Boris Neubert, Feng Wu, Shaobo Min and Julie Dorsey. Their work appears in journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Optics Express.
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.