Pengfei Ren
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 5%
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Computer Networks and Communications
- Topics
- Human Pose and Action Recognition (16 papers)Hand Gesture Recognition Systems (11 papers)Robot Manipulation and Learning (6 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionControl and Systems Engineering
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Pengfei Ren
29 papers receiving 255 citations
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 184
- Human-Computer Interaction 113
- Control and Systems Engineering 79
- Artificial Intelligence 55
- Computer Networks and Communications 25
Countries citing papers authored by Pengfei Ren
This map shows the geographic impact of Pengfei Ren'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 Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengfei Ren more than expected).
Fields of papers citing papers by Pengfei Ren
This network shows the impact of papers produced by Pengfei Ren. 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 Ren. The network helps show where Pengfei Ren may publish in the future.
Co-authorship network of co-authors of Pengfei Ren
This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Ren. A scholar is included among the top collaborators of Pengfei Ren 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 Ren. Pengfei Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 11 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 20 | |
| 13 | 2 | |
| 14 | 13 | |
| 15 | 2 | |
| 16 | SRN: Stacked Regression Network for Real-time 3D Hand Pose Estimation. | 22 |
| 17 | 25 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 4 |
About Pengfei Ren
Pengfei Ren is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 31 papers that have together received 257 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (16 papers), Hand Gesture Recognition Systems (11 papers) and Robot Manipulation and Learning (6 papers). The work is most often cited by research in Human-Computer Interaction (113 citations), Computer Vision and Pattern Recognition (184 citations) and Control and Systems Engineering (79 citations). Pengfei Ren has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Qi Qi, Haifeng Sun, Jingyu Wang, Weiting Huang, Jianxin Liao, Taiping Zhang, Yuan Yan Tang, Fan Bai, Shubham Jain and Marco Gruteser. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Cybernetics and Neurocomputing.
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.