Youfa Liu
Impact in
- Computational Mathematics top 10%
- Polymers and Plastics top 10%
- Conducting polymers and applications
Papers in
-
- Domain Adaptation and Few-Shot Learning 8
- Machine Learning and ELM 5
-
- Advanced battery technologies research 9
- Co-authors
- Fengxing Jiang (9 shared papers)Jingkun Xu (6 shared papers)Yan Huang (12 shared papers)Qinglin Jiang (4 shared papers)Peipei Liu (5 shared papers)Mangwei Cui (6 shared papers)Wenzheng Li (2 shared papers)Jing Liu (2 shared papers)
In The Last Decade
Youfa Liu
40 papers receiving 833 citations
Peers
Comparison fields: 5 of 85
- Computational Mathematics 9
- Polymers and Plastics 200
- Catalysis 69
- Materials Chemistry 439
- Renewable Energy, Sustainability and the Environment 104
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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 108 | |
| 2 | 2022 | 96 | |
| 3 | 2012 | 94 | |
| 4 | 2020 | 87 | |
| 5 | 2021 | 47 | |
| 6 | 2021 | 44 | |
| 7 | 2022 | 39 | |
| 8 | 2021 | 35 | |
| 9 | 2023 | 35 | |
| 10 | 2015 | 31 | |
| 11 | 2019 | 25 | |
| 12 | 2021 | 17 | |
| 13 | 2020 | 15 | |
| 14 | 2023 | 15 | |
| 15 | 2024 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2025 | 12 | |
| 18 | 2024 | 12 | |
| 19 | 2020 | 12 | |
| 20 | 2023 | 10 |
About Youfa Liu
Youfa Liu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Materials Chemistry, Computer Vision and Pattern Recognition and Polymers and Plastics, having authored 43 papers that have together received 842 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), Supercapacitor Materials and Fabrication (6 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), Face and Expression Recognition (5 papers) and Machine Learning and ELM (5 papers). The work is most often cited by research in Computational Mathematics (9 citations), Polymers and Plastics (200 citations), Catalysis (69 citations), Materials Chemistry (439 citations) and Renewable Energy, Sustainability and the Environment (104 citations). Youfa Liu has collaborated with scholars based in China, Australia and Macao. Frequent co-authors include Fengxing Jiang, Jingkun Xu, Yan Huang, Qinglin Jiang, Peipei Liu, Mangwei Cui, Wenzheng Li, Jing Liu, Lukuan Cheng and Yukou Du. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, ACS Applied Materials & Interfaces, Angewandte Chemie International Edition and Energy & Environmental Science.
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.