Sihui Luo
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Reservoir Computing
- Anomaly Detection Techniques and Applications
Papers in
-
- Multimodal Machine Learning Applications 2
- Advanced Neural Network Applications 2
- Video Surveillance and Tracking Methods 2
- Human Pose and Action Recognition 2
- Advanced Image and Video Retrieval Techniques 2
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- Adversarial Robustness in Machine Learning 2
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Mile Gu (1 shared paper)Xianshu Luo (1 shared paper)Bo Wang (1 shared paper)Limin Xiao (1 shared paper)Mingli Song (4 shared papers)Weifang Huang (1 shared paper)Hanqing Zhu (1 shared paper)Hui Zhang (1 shared paper)
- Journals
- IEEE Signal Processing Letters (2 papers)Journal of Visual Communication and Image Representation (2 papers)Journal of Molecular Liquids (1 paper)Electronics (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Sihui Luo
14 papers receiving 353 citations
Sihui Luo's Hit Papers
Peers
Comparison fields: 5 of 66
- Acoustics and Ultrasonics 8
- Artificial Intelligence 256
- Computer Vision and Pattern Recognition 91
- Electrical and Electronic Engineering 189
- Instrumentation 7
Countries citing papers authored by Sihui Luo
This map shows the geographic impact of Sihui Luo'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 Sihui Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sihui Luo more than expected).
Fields of papers citing papers by Sihui Luo
This network shows the impact of papers produced by Sihui Luo. 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 Sihui Luo. The network helps show where Sihui Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Sihui Luo, 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 | Space-efficient optical computing with an integrated chip diffractive neural network Hit paper breakdown → | 2022 | 224 |
| 2 | 2019 | 35 | |
| 3 | 2021 | 35 | |
| 4 | 2019 | 19 | |
| 5 | 2022 | 18 | |
| 6 | 2016 | 18 | |
| 7 | 2024 | 7 | |
| 8 | 2018 | 7 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2022 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2024 | 0 |
About Sihui Luo
Sihui Luo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Mechanical Engineering, Biomedical Engineering and Computer Networks and Communications, having authored 17 papers that have together received 377 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (2 papers), Multimodal Machine Learning Applications (2 papers), Adversarial Robustness in Machine Learning (2 papers), Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Video Surveillance and Tracking Methods (2 papers), Human Pose and Action Recognition (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (8 citations), Artificial Intelligence (256 citations), Computer Vision and Pattern Recognition (91 citations), Electrical and Electronic Engineering (189 citations) and Instrumentation (7 citations). Sihui Luo has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Mile Gu, Xianshu Luo, Bo Wang, Limin Xiao, Mingli Song, Weifang Huang, Hanqing Zhu, Hui Zhang, Jun Zou and A. Q. Liu. Their work appears in journals such as IEEE Signal Processing Letters, Journal of Visual Communication and Image Representation, Journal of Molecular Liquids, Electronics and Nature Communications.
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.