Lei Feng
- Artificial Intelligence top 2%
- Fluid Flow and Transfer Processes top 0.5%
- Computational Mechanics top 2%
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering top 10%
- Co-authors
- Bo AnMingfa YaoHaifeng LiuHongxin WeiXiangyu ChenYanqing CuiYu WangChao Geng
- Topics
- Combustion and flame dynamics (24 papers)Advanced Combustion Engine Technologies (24 papers)Machine Learning and Data Classification (22 papers)
In The Last Decade
Lei Feng
70 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 760
- Fluid Flow and Transfer Processes 689
- Computational Mechanics 493
- Computer Vision and Pattern Recognition 420
- Biomedical Engineering 256
Countries citing papers authored by Lei Feng
This map shows the geographic impact of Lei Feng'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 Lei Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Feng more than expected).
Fields of papers citing papers by Lei Feng
This network shows the impact of papers produced by Lei Feng. 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 Lei Feng. The network helps show where Lei Feng may publish in the future.
Co-authorship network of co-authors of Lei Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Lei Feng. A scholar is included among the top collaborators of Lei Feng 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 Lei Feng. Lei Feng 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 | 3 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 31 | |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 1 | |
| 14 | 15 | |
| 15 | 34 | |
| 16 | Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence | 26 |
| 17 | Provably Consistent Partial-Label Learning | 3 |
| 18 | 76 | |
| 19 | 11 | |
| 20 | Dynamic Configuration and Quality of Service in Autonomic Embedded Systems | 0 |
About Lei Feng
Lei Feng is a scholar working on Fluid Flow and Transfer Processes, Artificial Intelligence and Computational Mechanics, having authored 76 papers that have together received 1.8k indexed citations. Recurring topics across this work include Combustion and flame dynamics (24 papers), Advanced Combustion Engine Technologies (24 papers) and Machine Learning and Data Classification (22 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (689 citations), Computational Mechanics (493 citations) and Artificial Intelligence (760 citations). Lei Feng has collaborated with scholars based in China, Singapore and Japan. Frequent co-authors include Bo An, Mingfa Yao, Haifeng Liu, Hongxin Wei, Xiangyu Chen, Yanqing Cui, Yu Wang, Chao Geng, Beiling Chen and Zunqing Zheng. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cleaner Production and Optics Express.
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.