Guanglei Yang
Impact in
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- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
Papers in
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- Domain Adaptation and Few-Shot Learning 9
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- Advanced Neural Network Applications 5
- Advanced Vision and Imaging 3
- Co-authors
- Mingli Ding (7 shared papers)Elisa Ricci (5 shared papers)Hao Tang (2 shared papers)Nicu Sebe (2 shared papers)Dan Xu (3 shared papers)Xavier Alameda-Pineda (3 shared papers)Zhengming Ding (1 shared paper)Haifeng Xia (1 shared paper)
In The Last Decade
Guanglei Yang
22 papers receiving 430 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 181
- Artificial Intelligence 160
- Media Technology 18
- Signal Processing 13
- Safety, Risk, Reliability and Quality 12
Countries citing papers authored by Guanglei Yang
This map shows the geographic impact of Guanglei Yang'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 Guanglei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanglei Yang more than expected).
Fields of papers citing papers by Guanglei Yang
This network shows the impact of papers produced by Guanglei Yang. 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 Guanglei Yang. The network helps show where Guanglei Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Guanglei Yang, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 159 | |
| 2 | 2022 | 66 | |
| 3 | 2020 | 53 | |
| 4 | 2022 | 32 | |
| 5 | 2023 | 17 | |
| 6 | 2021 | 14 | |
| 7 | 2018 | 11 | |
| 8 | 2010 | 10 | |
| 9 | 2015 | 10 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2024 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2022 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2025 | 4 |
About Guanglei Yang
Guanglei Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Archeology, Building and Construction and Signal Processing, having authored 26 papers that have together received 438 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (9 papers), Advanced Neural Network Applications (5 papers), Advanced Vision and Imaging (3 papers), Cultural Heritage Management and Preservation (2 papers), Building Energy and Comfort Optimization (2 papers), Plant-Microbe Interactions and Immunity (1 paper), Biometric Identification and Security (1 paper) and Environmental Education and Sustainability (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (181 citations), Artificial Intelligence (160 citations), Media Technology (18 citations), Signal Processing (13 citations) and Safety, Risk, Reliability and Quality (12 citations). Guanglei Yang has collaborated with scholars based in China, Italy and Hong Kong. Frequent co-authors include Mingli Ding, Elisa Ricci, Hao Tang, Nicu Sebe, Dan Xu, Xavier Alameda-Pineda, Zhengming Ding, Haifeng Xia, Paolo Rota and Enrico Fini. Their work appears in journals such as Applied Intelligence, Sustainability, Buildings, IEEE Transactions on Neural Networks and Learning Systems and Energy Economics.
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.