Xiaofei Luo
Impact in
- Artificial Intelligence top 5%
- AI in cancer detection
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Software-Defined Networks and 5G 2
- Caching and Content Delivery 2
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- Blockchain Technology Applications and Security 3
- Co-authors
- Jun Xu (1 shared paper)Anant Madabhushi (1 shared paper)Hannah Gilmore (1 shared paper)Peng Li (4 shared papers)Toshiaki Miyazaki (3 shared papers)Qinglin Yang (2 shared papers)Xiaoyan Wang (2 shared papers)Song Guo (1 shared paper)
- Journals
- IEEE Journal on Selected Areas in Communications (1 paper)IEEE Access (1 paper)Neurocomputing (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)
In The Last Decade
Xiaofei Luo
6 papers receiving 359 citations
Xiaofei Luo's Hit Papers
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 241
- Radiology, Nuclear Medicine and Imaging 165
- Computer Vision and Pattern Recognition 136
- Biophysics 38
- Health Informatics 8
Countries citing papers authored by Xiaofei Luo
This map shows the geographic impact of Xiaofei 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 Xiaofei Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofei Luo more than expected).
Fields of papers citing papers by Xiaofei Luo
This network shows the impact of papers produced by Xiaofei 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 Xiaofei Luo. The network helps show where Xiaofei Luo may publish in the future.
Co-authors
The 9 scholars most cited alongside Xiaofei 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 | A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images Hit paper breakdown → | 2016 | 337 |
| 2 | 2019 | 15 | |
| 3 | 2022 | 12 | |
| 4 | 2020 | 4 | |
| 5 | 2023 | 1 | |
| 6 | 2019 | 1 |
About Xiaofei Luo
Xiaofei Luo is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, having authored 6 papers that have together received 370 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (3 papers), Software-Defined Networks and 5G (2 papers), Caching and Content Delivery (2 papers), Advanced Memory and Neural Computing (1 paper), Digital Imaging for Blood Diseases (1 paper), Indoor and Outdoor Localization Technologies (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and IoT-based Smart Home Systems (1 paper). The work is most often cited by research in Artificial Intelligence (241 citations), Radiology, Nuclear Medicine and Imaging (165 citations), Computer Vision and Pattern Recognition (136 citations), Biophysics (38 citations) and Health Informatics (8 citations). Xiaofei Luo has collaborated with scholars based in Japan, Hong Kong and China. Frequent co-authors include Jun Xu, Anant Madabhushi, Hannah Gilmore, Peng Li, Toshiaki Miyazaki, Qinglin Yang, Xiaoyan Wang, Song Guo and Peng Li. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Access, Neurocomputing and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.