Lei Feng
- Fluid Flow and Transfer Processes top 0.5%
- Advanced Combustion Engine Technologies 24
- Computational Mechanics top 2%
- Combustion and flame dynamics 24
- Artificial Intelligence top 2%
- Machine Learning and Data Classification 22
- Text and Document Classification Technologies 20
- Machine Learning and Algorithms 8
- Domain Adaptation and Few-Shot Learning 8
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- Image Retrieval and Classification Techniques 8
- Advanced Image and Video Retrieval Techniques 7
- Automotive Engineering top 5%
Lei Feng
70 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Fluid Flow and Transfer Processes 689
- Computational Mechanics 493
- Artificial Intelligence 760
- Computer Vision and Pattern Recognition 420
- Automotive Engineering 194
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
The 25 scholars most cited alongside Lei Feng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 11 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 31 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 10 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 15 | |
| 15 | 2023 | 34 | |
| 16 | Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence | 2021 | 26 |
| 17 | Provably Consistent Partial-Label Learning | 2020 | 3 |
| 18 | 2020 | 76 | |
| 19 | 2018 | 11 | |
| 20 | Dynamic Configuration and Quality of Service in Autonomic Embedded Systems | 2008 | 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), Machine Learning and Data Classification (22 papers), Text and Document Classification Technologies (20 papers), Machine Learning and Algorithms (8 papers), Image Retrieval and Classification Techniques (8 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Advanced Image and Video Retrieval Techniques (7 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.