Junyu Luo
Impact in
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- Artificial Intelligence in Healthcare
- Artificial Intelligence top 5%
- Machine Learning in Healthcare
- Topic Modeling
Papers in
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- Topic Modeling 12
- Machine Learning in Healthcare 7
- Natural Language Processing Techniques 4
- Domain Adaptation and Few-Shot Learning 4
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- Multimodal Machine Learning Applications 4
- Advanced Neural Network Applications 3
- Co-authors
- Fenglong Ma (9 shared papers)Cao Xiao (7 shared papers)Muchao Ye (6 shared papers)Jinpeng Wang (2 shared papers)Zekun Li (1 shared paper)Zhengwen Zhang (1 shared paper)Chen Gao (1 shared paper)Si Liu (1 shared paper)
- Journals
- Microbial Pathogenesis (1 paper)International Journal of Machine Learning and Cybernetics (1 paper)Journal of Materials Processing Technology (1 paper)IEEE Transactions on Image Processing (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Junyu Luo
24 papers receiving 418 citations
Peers
Comparison fields: 5 of 70
- Health Information Management 122
- Artificial Intelligence 276
- Computer Vision and Pattern Recognition 137
- Health Informatics 8
- Signal Processing 26
Countries citing papers authored by Junyu Luo
This map shows the geographic impact of Junyu 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 Junyu Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyu Luo more than expected).
Fields of papers citing papers by Junyu Luo
This network shows the impact of papers produced by Junyu 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 Junyu Luo. The network helps show where Junyu Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyu 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 121 | |
| 2 | 2021 | 49 | |
| 3 | 2022 | 46 | |
| 4 | 2021 | 35 | |
| 5 | 2020 | 26 | |
| 6 | 2003 | 21 | |
| 7 | 2019 | 19 | |
| 8 | 2018 | 17 | |
| 9 | 2020 | 16 | |
| 10 | 2024 | 15 | |
| 11 | 2021 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2021 | 10 | |
| 14 | 2024 | 6 | |
| 15 | 2023 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2025 | 3 | |
| 18 | 2019 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2024 | 1 |
About Junyu Luo
Junyu Luo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Health Information Management, Information Systems and Molecular Biology, having authored 28 papers that have together received 428 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Machine Learning in Healthcare (7 papers), Artificial Intelligence in Healthcare (6 papers), Natural Language Processing Techniques (4 papers), Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Advanced Neural Network Applications (3 papers) and Spam and Phishing Detection (2 papers). The work is most often cited by research in Health Information Management (122 citations), Artificial Intelligence (276 citations), Computer Vision and Pattern Recognition (137 citations), Health Informatics (8 citations) and Signal Processing (26 citations). Junyu Luo has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Fenglong Ma, Cao Xiao, Muchao Ye, Jinpeng Wang, Zekun Li, Zhengwen Zhang, Chen Gao, Si Liu, Yaqing Wang and Hao Shen. Their work appears in journals such as Microbial Pathogenesis, International Journal of Machine Learning and Cybernetics, Journal of Materials Processing Technology, IEEE Transactions on Image Processing and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.