Yongfei Liu
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- Multimodal Machine Learning Applications 8
- Automotive Engineering top 5%
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- Advancements in Battery Materials 6
- Power System Optimization and Stability 3
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning 4
- Topic Modeling 3
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- Traffic control and management 4
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- Advanced Sensor and Energy Harvesting Materials 3
- Nanoplatforms for cancer theranostics 3
Yongfei Liu
42 papers receiving 822 citations
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 298
- Automotive Engineering 135
- Electronic, Optical and Magnetic Materials 117
- Electrical and Electronic Engineering 354
- Artificial Intelligence 158
Countries citing papers authored by Yongfei Liu
This map shows the geographic impact of Yongfei Liu'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 Yongfei Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongfei Liu more than expected).
Fields of papers citing papers by Yongfei Liu
This network shows the impact of papers produced by Yongfei Liu. 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 Yongfei Liu. The network helps show where Yongfei Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yongfei Liu, 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 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 31 | |
| 8 | 2022 | 37 | |
| 9 | 2022 | 9 | |
| 10 | 2021 | 17 | |
| 11 | 2021 | 36 | |
| 12 | 2021 | 14 | |
| 13 | 2021 | 5 | |
| 14 | 2020 | 48 | |
| 15 | 2020 | 18 | |
| 16 | 2019 | 148 | |
| 17 | 2019 | 33 | |
| 18 | 2019 | 17 | |
| 19 | 2010 | 5 | |
| 20 | Development of High Gradient ZnO Varistor | 2006 | 1 |
About Yongfei Liu
Yongfei Liu is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Safety, Risk, Reliability and Quality, having authored 46 papers that have together received 835 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (8 papers), Advancements in Battery Materials (6 papers), Traffic control and management (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Topic Modeling (3 papers), Power System Optimization and Stability (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers) and Nanoplatforms for cancer theranostics (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (298 citations), Automotive Engineering (135 citations) and Electronic, Optical and Magnetic Materials (117 citations). Yongfei Liu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xuming He, Bo Wan, Rongjie Li, Desen Zhou, Xiaoying Qin, Hongxing Xin, Xueqin Yuan, Di Li, Hao Wang and Changyin Dong. Their work appears in journals such as Nano Letters, Advanced Functional Materials and Journal of Power Sources.
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.