Pengfei Yan
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Electrical and Electronic Engineering
- Co-authors
- Hao LuoShen YinMinglei LiDerong LiuYuchen JiangXiang LiGuanyi LiDing Wang
- Topics
- AI in cancer detection (7 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)Advanced Topology and Set Theory (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsInternational Journal of Molecular Sciences
In The Last Decade
Pengfei Yan
55 papers receiving 669 citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Control and Systems Engineering 214
- Artificial Intelligence 153
- Computer Vision and Pattern Recognition 100
- Mechanical Engineering 81
- Electrical and Electronic Engineering 62
Countries citing papers authored by Pengfei Yan
This map shows the geographic impact of Pengfei Yan'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 Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengfei Yan more than expected).
Fields of papers citing papers by Pengfei Yan
This network shows the impact of papers produced by Pengfei Yan. 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 Yan. The network helps show where Pengfei Yan may publish in the future.
Co-authorship network of co-authors of Pengfei Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Yan. A scholar is included among the top collaborators of Pengfei Yan 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 Yan. Pengfei Yan 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 | 0 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | Multi-hop graph pooling adversarial network for cross-domain remaining useful life prediction: A distributed federated learning perspectivebreakdown → | 80 |
| 8 | 4 | |
| 9 | 9 | |
| 10 | 0 | |
| 11 | 12 | |
| 12 | 35 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 3 | |
| 18 | Deep Learning Attention Mechanism in Medical Image Analysis: Basics and Beyondsbreakdown → | 152 |
| 19 | 21 | |
| 20 | Identification of Major Hazards Based on Bayesian Classifier | 1 |
About Pengfei Yan
Pengfei Yan is a scholar working on Instrumentation, Geometry and Topology and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 684 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Advanced Topology and Set Theory (5 papers). The work is most often cited by research in Control and Systems Engineering (214 citations), Health Informatics (8 citations) and Computer Vision and Pattern Recognition (100 citations). Pengfei Yan has collaborated with scholars based in China, Norway and Japan. Frequent co-authors include Hao Luo, Shen Yin, Minglei Li, Derong Liu, Yuchen Jiang, Xiang Li, Guanyi Li, Ding Wang, Jiusi Zhang and Hongwen Ma. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.
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.