Peng Yuan
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Materials Chemistry
- Biomedical Engineering
- Topics
- High voltage insulation and dielectric phenomena (26 papers)Opportunistic and Delay-Tolerant Networks (14 papers)Power Transformer Diagnostics and Insulation (13 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Peng Yuan
118 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 121
- Electrical and Electronic Engineering 355
- Computer Vision and Pattern Recognition 316
- Artificial Intelligence 265
- Materials Chemistry 225
- Biomedical Engineering 209
Countries citing papers authored by Peng Yuan
This map shows the geographic impact of Peng Yuan'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 Peng Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Yuan more than expected).
Fields of papers citing papers by Peng Yuan
This network shows the impact of papers produced by Peng Yuan. 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 Peng Yuan. The network helps show where Peng Yuan may publish in the future.
Co-authorship network of co-authors of Peng Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Peng Yuan. A scholar is included among the top collaborators of Peng Yuan 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 Peng Yuan. Peng Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 22 | |
| 10 | 9 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 33 | |
| 14 | 6 | |
| 15 | 2 | |
| 16 | Image Local Feature Extraction and Detection | 1 |
| 17 | Comparative Research on Current Pulse Method and UHF Measurements of Partial Discharge in Mineral Oil | 8 |
| 18 | Research and Application of PD Test Technology for Power Transformer Based on UHF Method | 1 |
| 19 | 1 | |
| 20 | The Study on High-Speed Algorithms of IP Routing Lookups Based on the Compressed Next Hop Table | 1 |
About Peng Yuan
Peng Yuan is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Oral Surgery, having authored 134 papers that have together received 1.5k indexed citations. Recurring topics across this work include High voltage insulation and dielectric phenomena (26 papers), Opportunistic and Delay-Tolerant Networks (14 papers) and Power Transformer Diagnostics and Insulation (13 papers). The work is most often cited by research in Orthodontics (119 citations), Oral Surgery (156 citations) and Computer Vision and Pattern Recognition (316 citations). Peng Yuan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Wenrong Si, James J. Xia, Zhihua Yang, Yanming Li, Qinyu Zhang, Junhao Li, Jaime Gateño, Kejun Wang, Liangliang Liu and Gang Hu. Their work appears in journals such as Advanced Functional Materials, Journal of Hazardous Materials and Scientific Reports.
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.