Boyu Yang
Impact in
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM
Papers in
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- Domain Adaptation and Few-Shot Learning 4
- Machine Learning and ELM 2
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- Genomics and Phylogenetic Studies 3
- Gene expression and cancer classification 2
- Co-authors
- Qixiang Ye (4 shared papers)Rongrong Ji (2 shared papers)Chang Liu (1 shared paper)Bohao Li (1 shared paper)Shouyang Wang (1 shared paper)Yuying Sun (2 shared papers)Xiaodan Liang (1 shared paper)Mingbao Lin (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)International Review of Financial Analysis (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (1 paper)BMC Genomics (1 paper)
- Partner nations
- China
In The Last Decade
Boyu Yang
11 papers receiving 266 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 154
- Artificial Intelligence 164
- Media Technology 24
- Industrial and Manufacturing Engineering 14
- Radiology, Nuclear Medicine and Imaging 25
Countries citing papers authored by Boyu Yang
This map shows the geographic impact of Boyu 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 Boyu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boyu Yang more than expected).
Fields of papers citing papers by Boyu Yang
This network shows the impact of papers produced by Boyu 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 Boyu Yang. The network helps show where Boyu Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Boyu 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 134 | |
| 2 | 2022 | 41 | |
| 3 | 2020 | 32 | |
| 4 | 2021 | 30 | |
| 5 | 2023 | 21 | |
| 6 | 2022 | 9 | |
| 7 | ToolBus - An Interoperable Environment for Biological Researchers. | 2005 | 2 |
| 8 | 2006 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2020 | 1 | |
| 12 | 2016 | 1 | |
| 13 | Genome Annotation and Comparison System. | 2006 | 0 |
| 14 | 2025 | 0 |
About Boyu Yang
Boyu Yang is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Computational Mechanics and Economics and Econometrics, having authored 14 papers that have together received 275 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (4 papers), Genomics and Phylogenetic Studies (3 papers), Advanced Neural Network Applications (2 papers), Gene expression and cancer classification (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Machine Learning and ELM (2 papers), Satellite Communication Systems (1 paper) and Wireless Communication Networks Research (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (154 citations), Artificial Intelligence (164 citations), Media Technology (24 citations), Industrial and Manufacturing Engineering (14 citations) and Radiology, Nuclear Medicine and Imaging (25 citations). Boyu Yang has collaborated with scholars based in China. Frequent co-authors include Qixiang Ye, Rongrong Ji, Chang Liu, Bohao Li, Shouyang Wang, Yuying Sun, Xiaodan Liang, Mingbao Lin, Fang Wan and Chang Liu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Review of Financial Analysis, IEEE Transactions on Neural Networks and Learning Systems, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and BMC Genomics.
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.