Ye Luo
Impact in
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- Visual Attention and Saliency Detection
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
Papers in
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- Advanced Neural Network Applications 16
- Visual Attention and Saliency Detection 15
- Advanced Image and Video Retrieval Techniques 13
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- Photonic and Optical Devices 21
- Advanced Fiber Optic Sensors 7
- Co-authors
- Jianwei Lu (40 shared papers)Guokai Zhang (17 shared papers)Ping Wang (2 shared papers)Lai‐Peng Ma (2 shared papers)Hui–Ming Cheng (2 shared papers)Dandan Zhu (12 shared papers)Junsong Yuan (7 shared papers)Lan Li (21 shared papers)
- Journals
- Symmetry (5 papers)Optics Express (4 papers)Journal of Visual Communication and Image Representation (3 papers)Nano Letters (3 papers)Neural Networks (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Ye Luo
104 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 125
- Energy Engineering and Power Technology 50
- Computer Vision and Pattern Recognition 344
- Catalysis 103
- Health Informatics 15
- Radiology, Nuclear Medicine and Imaging 190
Countries citing papers authored by Ye Luo
This map shows the geographic impact of Ye 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 Ye Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Luo more than expected).
Fields of papers citing papers by Ye Luo
This network shows the impact of papers produced by Ye 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 Ye Luo. The network helps show where Ye Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye 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
Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 98 | |
| 2 | 2007 | 87 | |
| 3 | 2015 | 73 | |
| 4 | 2018 | 68 | |
| 5 | 2019 | 62 | |
| 6 | 2007 | 56 | |
| 7 | 2011 | 43 | |
| 8 | 2022 | 42 | |
| 9 | 2009 | 41 | |
| 10 | 2022 | 36 | |
| 11 | 2021 | 35 | |
| 12 | 2022 | 35 | |
| 13 | 2023 | 29 | |
| 14 | 2018 | 29 | |
| 15 | 2021 | 28 | |
| 16 | 2024 | 27 | |
| 17 | 2011 | 27 | |
| 18 | 2021 | 27 | |
| 19 | 2019 | 22 | |
| 20 | 2022 | 20 |
About Ye Luo
Ye Luo is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 113 papers that have together received 1.4k indexed citations. Recurring topics across this work include Photonic and Optical Devices (21 papers), Advanced Neural Network Applications (16 papers), Visual Attention and Saliency Detection (15 papers), Advanced Image and Video Retrieval Techniques (13 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), AI in cancer detection (10 papers), Advanced Fiber Optic Sensors (7 papers) and Lung Cancer Diagnosis and Treatment (7 papers). The work is most often cited by research in Energy Engineering and Power Technology (50 citations), Computer Vision and Pattern Recognition (344 citations), Catalysis (103 citations), Health Informatics (15 citations) and Radiology, Nuclear Medicine and Imaging (190 citations). Ye Luo has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jianwei Lu, Guokai Zhang, Ping Wang, Lai‐Peng Ma, Hui–Ming Cheng, Dandan Zhu, Junsong Yuan, Lan Li, Xian Xu and Qi Tian. Their work appears in journals such as Symmetry, Optics Express, Journal of Visual Communication and Image Representation, Nano Letters and Neural Networks.
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.