Hong-Yu Zhou
- Artificial Intelligence top 0.1%
- Quantum Information and Cryptography 47
- Quantum Computing Algorithms and Architecture 41
- Domain Adaptation and Few-Shot Learning 10
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- Quantum Mechanics and Applications 44
- Health Informatics top 1%
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- Advanced Neural Network Applications 13
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- Radiomics and Machine Learning in Medical Imaging 12
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- Microwave Engineering and Waveguides 12
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- Protein Structure and Dynamics 10
- Co-authors
- Fu‐Guo DengXihan LiPing ZhouYu‐Bo ShengChunyan LiYizhou YuGui‐Lu LongYan Wang
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Hong-Yu Zhou
151 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Artificial Intelligence 5.7k
- Atomic and Molecular Physics, and Optics 4.8k
- Health Informatics 101
- Computer Vision and Pattern Recognition 847
- Radiology, Nuclear Medicine and Imaging 764
Countries citing papers authored by Hong-Yu Zhou
This map shows the geographic impact of Hong-Yu Zhou'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 Hong-Yu Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong-Yu Zhou more than expected).
Fields of papers citing papers by Hong-Yu Zhou
This network shows the impact of papers produced by Hong-Yu Zhou. 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 Hong-Yu Zhou. The network helps show where Hong-Yu Zhou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hong-Yu Zhou, 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 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 18 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 4 | |
| 12 | 2024 | 24 | |
| 13 | 2023 | 5 | |
| 14 | nnFormer: Volumetric Medical Image Segmentation via a 3D Transformerbreakdown → | 2023 | 287 |
| 15 | 2022 | 0 | |
| 16 | 2018 | 167 | |
| 17 | Method for predicting earthquake damage of housing building groups based on image explanation | 2013 | 2 |
| 18 | Wideband mm-wave log-periodic antennas | 2009 | 9 |
| 19 | Fault tolerant quantum dense coding with collective noise | 2009 | 1 |
| 20 | Quantum secure direct communication without maximally entangled states | 2006 | 2 |
About Hong-Yu Zhou
Hong-Yu Zhou is a scholar working on Artificial Intelligence, Health Informatics and Atomic and Molecular Physics, and Optics, having authored 160 papers that have together received 7.5k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (47 papers), Quantum Mechanics and Applications (44 papers), Quantum Computing Algorithms and Architecture (41 papers), Advanced Neural Network Applications (13 papers), Microwave Engineering and Waveguides (12 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Protein Structure and Dynamics (10 papers) and Domain Adaptation and Few-Shot Learning (10 papers). The work is most often cited by research in Artificial Intelligence (5.7k citations), Atomic and Molecular Physics, and Optics (4.8k citations) and Health Informatics (101 citations). Hong-Yu Zhou has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Fu‐Guo Deng, Xihan Li, Ping Zhou, Yu‐Bo Sheng, Chunyan Li, Chunyan Li, Yizhou Yu, Gui‐Lu Long, Yan Wang and Zhanjun Zhang.
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.