Pengfei Yu
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Co-authors
- Maosong SunZhiyuan LiuXu HanHao ZhuYuan YaoZiyun WangShu LinPeng Li
- Topics
- Topic Modeling (3 papers)Power Systems and Technologies (3 papers)Natural Language Processing Techniques (3 papers)
- Cited by
- Artificial IntelligenceComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Pengfei Yu
21 papers receiving 641 citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 465
- Computer Networks and Communications 119
- Computer Vision and Pattern Recognition 103
- Electrical and Electronic Engineering 90
- Control and Systems Engineering 76
Countries citing papers authored by Pengfei Yu
This map shows the geographic impact of Pengfei Yu'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 Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengfei Yu more than expected).
Fields of papers citing papers by Pengfei Yu
This network shows the impact of papers produced by Pengfei Yu. 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 Yu. The network helps show where Pengfei Yu may publish in the future.
Co-authorship network of co-authors of Pengfei Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Yu. A scholar is included among the top collaborators of Pengfei Yu 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 Yu. Pengfei Yu 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 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 11 | |
| 14 | 72 | |
| 15 | FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluationbreakdown → | 358 |
| 16 | 5 | |
| 17 | 37 | |
| 18 | 0 | |
| 19 | 6 | |
| 20 | 73 |
About Pengfei Yu
Pengfei Yu is a scholar working on Energy Engineering and Power Technology, Instrumentation and Artificial Intelligence, having authored 26 papers that have together received 668 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Power Systems and Technologies (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (465 citations), Computer Networks and Communications (119 citations) and Computer Vision and Pattern Recognition (103 citations). Pengfei Yu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Maosong Sun, Zhiyuan Liu, Xu Han, Hao Zhu, Yuan Yao, Ziyun Wang, Shu Lin, Peng Li, Guangzhao Xu and Jianrong Wu. Their work appears in journals such as IEEE Transactions on Power Delivery, Neurocomputing and IEEE Internet of Things Journal.
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.