Xiaokang Chen
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Media Technology top 2%
- Computational Mechanics top 10%
- Topics
- Advanced Neural Network Applications (6 papers)Computer Graphics and Visualization Techniques (5 papers)Advanced Vision and Imaging (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaokang Chen
35 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Computer Vision and Pattern Recognition 846
- Artificial Intelligence 408
- Radiology, Nuclear Medicine and Imaging 184
- Media Technology 152
- Computational Mechanics 104
Countries citing papers authored by Xiaokang Chen
This map shows the geographic impact of Xiaokang 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 Xiaokang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaokang Chen more than expected).
Fields of papers citing papers by Xiaokang Chen
This network shows the impact of papers produced by Xiaokang 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 Xiaokang Chen. The network helps show where Xiaokang Chen may publish in the future.
Co-authorship network of co-authors of Xiaokang Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaokang Chen. A scholar is included among the top collaborators of Xiaokang 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 Xiaokang Chen. Xiaokang 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 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | Context Autoencoder for Self-supervised Representation Learningbreakdown → | 178 |
| 7 | 46 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 22 | |
| 12 | 25 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | Automated Fixing of Inconsistent Contexts | 0 |
| 18 | Prediction of Enantioseparation Efficiency of Chiral Mandelic Acid in Diastereomeric Crystallization Using a Quartz Crystal Microbalance | 1 |
| 19 | 1 | |
| 20 | 19 |
About Xiaokang Chen
Xiaokang Chen is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Analytical Chemistry, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Computer Graphics and Visualization Techniques (5 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (846 citations), Computer Graphics and Computer-Aided Design (65 citations) and Media Technology (152 citations). Xiaokang Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Gang Zeng, Jingdong Wang, Yuhui Yuan, Yunhao Wang, Shumin Han, Ying Xin, Mingyu Ding, Xiaodi Wang, Shentong Mo and Ping Luo. Their work appears in journals such as Chemical Engineering Journal, Analytica Chimica Acta and Sensors.
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.