Peiran Ren
- Computer Vision and Pattern Recognition top 1%
- Computer Graphics and Computer-Aided Design top 1%
- Computational Mechanics top 10%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Co-authors
- Baining GuoXuansong XieXin TongJohn SnyderTao YangLei ZhangJiaping WangHongdong Li
- Topics
- Video Analysis and Summarization (10 papers)Computer Graphics and Visualization Techniques (7 papers)Image Enhancement Techniques (6 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionSignal Processing
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Peiran Ren
31 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 1.1k
- Computer Graphics and Computer-Aided Design 319
- Computational Mechanics 146
- Signal Processing 134
- Artificial Intelligence 103
Countries citing papers authored by Peiran Ren
This map shows the geographic impact of Peiran 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 Peiran Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peiran Ren more than expected).
Fields of papers citing papers by Peiran Ren
This network shows the impact of papers produced by Peiran 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 Peiran Ren. The network helps show where Peiran Ren may publish in the future.
Co-authorship network of co-authors of Peiran Ren
This figure shows the co-authorship network connecting the top 25 collaborators of Peiran Ren. A scholar is included among the top collaborators of Peiran 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 Peiran Ren. Peiran 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 | 2 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 34 | |
| 7 | 5 | |
| 8 | 34 | |
| 9 | 7 | |
| 10 | 170 | |
| 11 | 26 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 44 | |
| 15 | 1 | |
| 16 | 85 | |
| 17 | 266 | |
| 18 | 62 | |
| 19 | 86 | |
| 20 | 37 |
About Peiran Ren
Peiran Ren is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Video Analysis and Summarization (10 papers), Computer Graphics and Visualization Techniques (7 papers) and Image Enhancement Techniques (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (319 citations), Computer Vision and Pattern Recognition (1.1k citations) and Signal Processing (134 citations). Peiran Ren has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Baining Guo, Xuansong Xie, Xin Tong, John Snyder, Tao Yang, Lei Zhang, Jiaping Wang, Hongdong Li, Fang Wen and Dong Chen. Their work appears in journals such as IEEE Transactions on Image Processing, ACM Transactions on Graphics 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.