Pengfei Ge
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging
- Cancer Research
- Control and Systems Engineering
- Co-authors
- Chuan-Xian RenYiming ZhaiYou-Wei LuoMengxue LiShuicheng YanXiaolin XuHong YanDao‐Qing Dai
- Topics
- Domain Adaptation and Few-Shot Learning (7 papers)Machine Learning and ELM (3 papers)Video Surveillance and Tracking Methods (3 papers)
In The Last Decade
Pengfei Ge
10 papers receiving 385 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 280
- Computer Vision and Pattern Recognition 240
- Radiology, Nuclear Medicine and Imaging 35
- Cancer Research 34
- Control and Systems Engineering 24
Countries citing papers authored by Pengfei Ge
This map shows the geographic impact of Pengfei Ge'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 Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengfei Ge more than expected).
Fields of papers citing papers by Pengfei Ge
This network shows the impact of papers produced by Pengfei Ge. 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 Ge. The network helps show where Pengfei Ge may publish in the future.
Co-authorship network of co-authors of Pengfei Ge
This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Ge. A scholar is included among the top collaborators of Pengfei Ge 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 Ge. Pengfei Ge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 4 | |
| 3 | 57 | |
| 4 | 28 | |
| 5 | 149 | |
| 6 | 26 | |
| 7 | 16 | |
| 8 | 46 | |
| 9 | 44 | |
| 10 | 8 |
About Pengfei Ge
Pengfei Ge is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Safety, Risk, Reliability and Quality, having authored 10 papers that have together received 387 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (7 papers), Machine Learning and ELM (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (240 citations), Artificial Intelligence (280 citations) and Cancer Research (34 citations). Pengfei Ge has collaborated with scholars based in China, Singapore and Macao. Frequent co-authors include Chuan-Xian Ren, Yiming Zhai, You-Wei Luo, Mengxue Li, Shuicheng Yan, Xiaolin Xu, Hong Yan, Dao‐Qing Dai, Zhen Lei and Jiashi Feng. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems.
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.