Youfa Liu
Impact in
- Computational Mathematics top 10%
- Polymers and Plastics top 10%
- Conducting polymers and applications
Papers in
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- Domain Adaptation and Few-Shot Learning 8
- Machine Learning and ELM 5
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- Advanced battery technologies research 9
- Co-authors
- Fengxing Jiang (9 shared papers)Jingkun Xu (6 shared papers)Yan Huang (13 shared papers)Peipei Liu (5 shared papers)Mangwei Cui (6 shared papers)Qinglin Jiang (4 shared papers)Lukuan Cheng (2 shared papers)Wenzheng Li (2 shared papers)
In The Last Decade
Youfa Liu
43 papers receiving 903 citations
Peers
Comparison fields: 5 of 85
- Computational Mathematics 9
- Polymers and Plastics 207
- Catalysis 70
- Materials Chemistry 452
- Renewable Energy, Sustainability and the Environment 107
Countries citing papers authored by Youfa Liu
This map shows the geographic impact of Youfa 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 Youfa Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youfa Liu more than expected).
Fields of papers citing papers by Youfa Liu
This network shows the impact of papers produced by Youfa 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 Youfa Liu. The network helps show where Youfa Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Youfa 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
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 109 | |
| 2 | 2022 | 103 | |
| 3 | 2012 | 95 | |
| 4 | 2020 | 91 | |
| 5 | 2021 | 53 | |
| 6 | 2021 | 47 | |
| 7 | 2022 | 44 | |
| 8 | 2023 | 37 | |
| 9 | 2021 | 35 | |
| 10 | 2015 | 31 | |
| 11 | 2019 | 25 | |
| 12 | 2025 | 19 | |
| 13 | 2021 | 18 | |
| 14 | 2024 | 17 | |
| 15 | 2025 | 17 | |
| 16 | 2020 | 15 | |
| 17 | 2022 | 15 | |
| 18 | 2024 | 15 | |
| 19 | 2023 | 15 | |
| 20 | 2023 | 12 |
About Youfa Liu
Youfa Liu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Materials Chemistry and Polymers and Plastics, having authored 45 papers that have together received 907 indexed citations. Recurring topics across this work include Advanced battery technologies research (9 papers), Advanced Thermoelectric Materials and Devices (9 papers), Domain Adaptation and Few-Shot Learning (8 papers), Conducting polymers and applications (7 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), Face and Expression Recognition (6 papers), Supercapacitor Materials and Fabrication (6 papers) and Machine Learning and ELM (5 papers). The work is most often cited by research in Computational Mathematics (9 citations), Polymers and Plastics (207 citations), Catalysis (70 citations), Materials Chemistry (452 citations) and Renewable Energy, Sustainability and the Environment (107 citations). Youfa Liu has collaborated with scholars based in China, Australia and Macao. Frequent co-authors include Fengxing Jiang, Jingkun Xu, Yan Huang, Peipei Liu, Mangwei Cui, Qinglin Jiang, Lukuan Cheng, Wenzheng Li, Yukou Du and Jing Liu. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, Energy & Environmental Science, Journal of Materials Chemistry A and Angewandte Chemie International Edition.
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.