Pengfei Xu
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 10%
- Media Technology top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Artificial Intelligence
- Co-authors
- Chiew‐Lan TaiHongbo FuYouyi ZhengChip-Hong ChangQiguang MiaoOscar Kin‐Chung AuCheng ShiThambipillai Srikanthan
- Topics
- Computer Graphics and Visualization Techniques (7 papers)Interactive and Immersive Displays (6 papers)3D Shape Modeling and Analysis (6 papers)
In The Last Decade
Pengfei Xu
37 papers receiving 498 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 311
- Computational Mechanics 118
- Media Technology 97
- Computer Graphics and Computer-Aided Design 97
- Artificial Intelligence 73
Countries citing papers authored by Pengfei Xu
This map shows the geographic impact of Pengfei 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 Pengfei Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengfei Xu more than expected).
Fields of papers citing papers by Pengfei Xu
This network shows the impact of papers produced by Pengfei 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 Pengfei Xu. The network helps show where Pengfei Xu may publish in the future.
Co-authorship network of co-authors of Pengfei Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Xu. A scholar is included among the top collaborators of Pengfei 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 Pengfei Xu. Pengfei 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 6 | |
| 12 | 20 | |
| 13 | 31 | |
| 14 | 8 | |
| 15 | 13 | |
| 16 | 27 | |
| 17 | Underdetermined Blind Source Separation Applied to the Ultra-Wideband Communication Signals | 1 |
| 18 | Blind separation of mixed audio signal based on FastICA | 2 |
| 19 | 75 | |
| 20 | 21 |
About Pengfei Xu
Pengfei Xu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 41 papers that have together received 513 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (7 papers), Interactive and Immersive Displays (6 papers) and 3D Shape Modeling and Analysis (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (97 citations), Computer Vision and Pattern Recognition (311 citations) and Human-Computer Interaction (65 citations). Pengfei Xu has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Chiew‐Lan Tai, Hongbo Fu, Youyi Zheng, Chip-Hong Chang, Qiguang Miao, Oscar Kin‐Chung Au, Cheng Shi, Thambipillai Srikanthan, Rui Xiao and Menglin Chen. Their work appears in journals such as PLoS ONE, ACM Transactions on Graphics and Sustainability.
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.