Weicheng Xie
- Computer Vision and Pattern Recognition top 2%
- Experimental and Cognitive Psychology top 5%
- Artificial Intelligence top 10%
- Computational Mechanics top 10%
- Signal Processing top 10%
- Co-authors
- Linlin ShenXiufen ZouMeng YangYu ChenSiyang SongXi JiaJinming DuanHatice Güneş
- Topics
- Face recognition and analysis (20 papers)Emotion and Mood Recognition (14 papers)Generative Adversarial Networks and Image Synthesis (12 papers)
- Cited by
- Computer Vision and Pattern RecognitionExperimental and Cognitive PsychologyComputer Graphics and Computer-Aided Design
- Partner nations
- ChinaUnited KingdomPoland
In The Last Decade
Weicheng Xie
47 papers receiving 649 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 382
- Experimental and Cognitive Psychology 203
- Artificial Intelligence 182
- Computational Mechanics 65
- Signal Processing 60
Countries citing papers authored by Weicheng Xie
This map shows the geographic impact of Weicheng Xie'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 Weicheng Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weicheng Xie more than expected).
Fields of papers citing papers by Weicheng Xie
This network shows the impact of papers produced by Weicheng Xie. 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 Weicheng Xie. The network helps show where Weicheng Xie may publish in the future.
Co-authorship network of co-authors of Weicheng Xie
This figure shows the co-authorship network connecting the top 25 collaborators of Weicheng Xie. A scholar is included among the top collaborators of Weicheng Xie 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 Weicheng Xie. Weicheng Xie 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 | 1 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | 42 | |
| 15 | 12 | |
| 16 | 8 | |
| 17 | 5 | |
| 18 | 3 | |
| 19 | 41 | |
| 20 | 4 |
About Weicheng Xie
Weicheng Xie is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Artificial Intelligence, having authored 53 papers that have together received 663 indexed citations. Recurring topics across this work include Face recognition and analysis (20 papers), Emotion and Mood Recognition (14 papers) and Generative Adversarial Networks and Image Synthesis (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (382 citations), Experimental and Cognitive Psychology (203 citations) and Computer Graphics and Computer-Aided Design (21 citations). Weicheng Xie has collaborated with scholars based in China, United Kingdom and Poland. Frequent co-authors include Linlin Shen, Xiufen Zou, Meng Yang, Yu Chen, Siyang Song, Xi Jia, Jinming Duan, Hatice Güneş, Jinheng Xie and Cheng Luo. Their work appears in journals such as IEEE Transactions on Image Processing, Sensors and Pattern Recognition.
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.