Ye Luo
Impact in
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Visual Attention and Saliency Detection
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
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- Visual Attention and Saliency Detection 15
- Medical Image Segmentation Techniques 11
- Advanced Neural Network Applications 5
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- AI in cancer detection 13
- Domain Adaptation and Few-Shot Learning 6
- Co-authors
- Jianwei Lu (41 shared papers)Guokai Zhang (16 shared papers)Lan Li (22 shared papers)Dandan Zhu (12 shared papers)Junsong Yuan (7 shared papers)Jialing Jian (15 shared papers)Chunlei Sun (16 shared papers)Hui Ma (12 shared papers)
- Journals
- Symmetry (5 papers)Optics Express (4 papers)Journal of Visual Communication and Image Representation (3 papers)Neural Networks (3 papers)IEEE Journal of Biomedical and Health Informatics (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Ye Luo
102 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 93
- Computer Vision and Pattern Recognition 391
- Artificial Intelligence 219
- Acoustics and Ultrasonics 7
- Health Informatics 13
- Electrical and Electronic Engineering 252
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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 105 | |
| 2 | 2015 | 80 | |
| 3 | 2018 | 68 | |
| 4 | 2019 | 63 | |
| 5 | 2022 | 45 | |
| 6 | 2011 | 43 | |
| 7 | 2022 | 43 | |
| 8 | 2023 | 43 | |
| 9 | 2022 | 40 | |
| 10 | 2011 | 39 | |
| 11 | 2021 | 37 | |
| 12 | 2023 | 33 | |
| 13 | 2021 | 31 | |
| 14 | 2018 | 30 | |
| 15 | 2024 | 30 | |
| 16 | 2021 | 29 | |
| 17 | 2019 | 23 | |
| 18 | 2022 | 20 | |
| 19 | 2023 | 19 | |
| 20 | 2022 | 18 |
About Ye Luo
Ye Luo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Atomic and Molecular Physics, and Optics, having authored 109 papers that have together received 1.4k indexed citations. Recurring topics across this work include Photonic and Optical Devices (16 papers), Visual Attention and Saliency Detection (15 papers), AI in cancer detection (13 papers), Medical Image Segmentation Techniques (11 papers), Domain Adaptation and Few-Shot Learning (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced Neural Network Applications (5 papers) and Plasmonic and Surface Plasmon Research (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (391 citations), Artificial Intelligence (219 citations), Acoustics and Ultrasonics (7 citations), Health Informatics (13 citations) and Electrical and Electronic Engineering (252 citations). Ye Luo has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jianwei Lu, Guokai Zhang, Lan Li, Dandan Zhu, Junsong Yuan, Jialing Jian, Chunlei Sun, Hui Ma, Maoliang Wei and Bo Li. Their work appears in journals such as Symmetry, Optics Express, Journal of Visual Communication and Image Representation, Neural Networks and IEEE Journal of Biomedical and Health Informatics.
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.