Longxi Zhou
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Artificial Intelligence in Healthcare and Education 3
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- Radiomics and Machine Learning in Medical Imaging 5
- COVID-19 diagnosis using AI 2
- Co-authors
- Xin Gao (10 shared papers)Juexiao Zhou (8 shared papers)Haoyang Li (6 shared papers)Zhongxiao Li (4 shared papers)Zhaowen Qiu (4 shared papers)Yuxin Huang (2 shared papers)Xingyu Liao (2 shared papers)Xigang Xiao (3 shared papers)
- Journals
- Nature Communications (3 papers)Advanced Science (2 papers)IEEE Transactions on Medical Imaging (2 papers)Theoretical and Applied Genetics (1 paper)Science Advances (1 paper)
- Partner nations
- Saudi ArabiaChinaRwanda
In The Last Decade
Longxi Zhou
16 papers receiving 428 citations
Longxi Zhou's Hit Papers
Peers
Comparison fields: 5 of 82
- Health Informatics 67
- Radiology, Nuclear Medicine and Imaging 155
- Artificial Intelligence 142
- Horticulture 3
- Health Information Management 13
Countries citing papers authored by Longxi Zhou
This map shows the geographic impact of Longxi Zhou'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 Longxi Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longxi Zhou more than expected).
Fields of papers citing papers by Longxi Zhou
This network shows the impact of papers produced by Longxi Zhou. 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 Longxi Zhou. The network helps show where Longxi Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Longxi Zhou, 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 | 2020 | 140 | |
| 2 | Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4 Hit paper breakdown → | 2024 | 93 |
| 3 | 2013 | 57 | |
| 4 | 2024 | 36 | |
| 5 | 2023 | 23 | |
| 6 | 2022 | 22 | |
| 7 | Carbohydrate metabolism in tomato ( Lycopersicon esculentum Mill.) seedlings and yield and fruit quality as affected by low night temperature and subsequent recovery | 2011 | 13 |
| 8 | 2024 | 10 | |
| 9 | 2023 | 9 | |
| 10 | 2025 | 9 | |
| 11 | 2023 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2026 | 6 | |
| 14 | 2025 | 5 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 1 |
About Longxi Zhou
Longxi Zhou is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Health Information Management and Critical Care and Intensive Care Medicine, having authored 16 papers that have together received 440 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Artificial Intelligence in Healthcare and Education (3 papers), AI in cancer detection (3 papers), COVID-19 diagnosis using AI (2 papers), Privacy-Preserving Technologies in Data (2 papers), Plant nutrient uptake and metabolism (2 papers), Cutaneous Melanoma Detection and Management (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Health Informatics (67 citations), Radiology, Nuclear Medicine and Imaging (155 citations), Artificial Intelligence (142 citations), Horticulture (3 citations) and Health Information Management (13 citations). Longxi Zhou has collaborated with scholars based in Saudi Arabia, China and Rwanda. Frequent co-authors include Xin Gao, Juexiao Zhou, Haoyang Li, Zhongxiao Li, Zhaowen Qiu, Yuxin Huang, Xingyu Liao, Xigang Xiao, Lihua Li and Ming Fan. Their work appears in journals such as Nature Communications, Advanced Science, IEEE Transactions on Medical Imaging, Theoretical and Applied Genetics and Science Advances.
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.