Weijie Fu
- Artificial Intelligence top 5%
- Machine Learning and Data Classification 5
- Domain Adaptation and Few-Shot Learning 3
- Machine Learning and Algorithms 2
- Media Technology top 10%
- Urban Studies top 10%
- Information Systems top 10%
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- Electrocatalysts for Energy Conversion 3
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- Advanced Battery Materials and Technologies 2
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- Catalytic Processes in Materials Science 2
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- Ammonia Synthesis and Nitrogen Reduction 2
- Catalysis and Oxidation Reactions 2
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Chemistry of Materials (1 paper)ACS Applied Materials & Interfaces (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Weijie Fu
16 papers receiving 447 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 230
- Artificial Intelligence 289
- Media Technology 41
- Urban Studies 25
- Information Systems 61
Countries citing papers authored by Weijie Fu
This map shows the geographic impact of Weijie Fu'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 Weijie Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijie Fu more than expected).
Fields of papers citing papers by Weijie Fu
This network shows the impact of papers produced by Weijie Fu. 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 Weijie Fu. The network helps show where Weijie Fu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weijie Fu, 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 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 7 | |
| 10 | 2020 | 80 | |
| 11 | 2020 | 4 | |
| 12 | 2018 | 25 | |
| 13 | 2017 | 6 | |
| 14 | 2017 | 104 | |
| 15 | 2016 | 178 | |
| 16 | 2015 | 4 | |
| 17 | 2015 | 26 |
About Weijie Fu
Weijie Fu is a scholar working on Catalysis, Process Chemistry and Technology and Renewable Energy, Sustainability and the Environment, having authored 17 papers that have together received 455 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (5 papers), Electrocatalysts for Energy Conversion (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Machine Learning and Algorithms (2 papers), Advanced Battery Materials and Technologies (2 papers), Catalytic Processes in Materials Science (2 papers), Ammonia Synthesis and Nitrogen Reduction (2 papers) and Catalysis and Oxidation Reactions (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (230 citations), Artificial Intelligence (289 citations) and Media Technology (41 citations). Weijie Fu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Shijie Hao, Xindong Wu, Meng Wang, Dacheng Tao, Meng Wang, Hengchang Liu, Xiangnan He, Richang Hong, Wen Li and Rui Jiang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Chemistry of Materials and ACS Applied Materials & Interfaces.
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.