Haoyu Wu
- Analytical Chemistry top 5%
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- Advanced Neural Network Applications 4
- Advanced Image and Video Retrieval Techniques 4
- Plant Science top 10%
- Smart Agriculture and AI 4
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- Advanced SAR Imaging Techniques 4
- Spacecraft and Cryogenic Technologies 2
- Synthetic Aperture Radar (SAR) Applications and Techniques 2
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- Thermodynamic and Exergetic Analyses of Power and Cooling Systems 4
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- Advanced Thermodynamics and Statistical Mechanics 3
- Co-authors
- Gensheng HuMingzhu WanYan ZhangH. M. KalckarMengbo QianJingping PengWeimin LiuFengyun Chen
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Communications of the ACM (1 paper)IEEE Access (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Haoyu Wu
30 papers receiving 541 citations
Peers
Comparison fields: 5 of 90
- Analytical Chemistry 90
- Computer Vision and Pattern Recognition 117
- Plant Science 209
- Energy Engineering and Power Technology 10
- Aerospace Engineering 62
Countries citing papers authored by Haoyu Wu
This map shows the geographic impact of Haoyu Wu'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 Haoyu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haoyu Wu more than expected).
Fields of papers citing papers by Haoyu Wu
This network shows the impact of papers produced by Haoyu Wu. 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 Haoyu Wu. The network helps show where Haoyu Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Haoyu Wu, 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 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 11 | |
| 13 | 2020 | 4 | |
| 14 | 2020 | 2 | |
| 15 | 2019 | 23 | |
| 16 | Making Classification Competitive for Deep Metric Learning | 2018 | 8 |
| 17 | 2018 | 4 | |
| 18 | 2018 | 0 | |
| 19 | Myocardial infarction detection and classification - A new multi-scale deep feature learning approach | 2016 | 10 |
| 20 | 2016 | 74 |
About Haoyu Wu
Haoyu Wu is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 34 papers that have together received 559 indexed citations. Recurring topics across this work include Smart Agriculture and AI (4 papers), Advanced Neural Network Applications (4 papers), Advanced SAR Imaging Techniques (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (4 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers), Spacecraft and Cryogenic Technologies (2 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (2 papers). The work is most often cited by research in Analytical Chemistry (90 citations), Computer Vision and Pattern Recognition (117 citations) and Plant Science (209 citations). Haoyu Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Gensheng Hu, Mingzhu Wan, Yan Zhang, H. M. Kalckar, Mengbo Qian, Jingping Peng, Weimin Liu, Fengyun Chen, Andrew Zhai and Pengfei Zhao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Communications of the ACM and IEEE Access.
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.