Longxi Zhou
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- AI in cancer detection 3
- Privacy-Preserving Technologies in Data 2
-
- Plant Gene Expression Analysis 1
- Co-authors
- Xin Gao (9 shared papers)Haoyang Li (6 shared papers)Juexiao Zhou (7 shared papers)Zhongxiao Li (4 shared papers)Zhaowen Qiu (4 shared papers)Xigang Xiao (3 shared papers)Yuxin Huang (2 shared papers)Lihua Li (1 shared paper)
- Journals
- Nature Communications (3 papers)Advanced Science (2 papers)IEEE Transactions on Medical Imaging (2 papers)Theoretical and Applied Genetics (1 paper)Nature Computational Science (1 paper)
- Partner nations
- Saudi ArabiaChinaNetherlands
In The Last Decade
Longxi Zhou
15 papers receiving 363 citations
Longxi Zhou's Hit Papers
Peers
Comparison fields: 5 of 75
- Health Informatics 61
- Radiology, Nuclear Medicine and Imaging 145
- Artificial Intelligence 127
- Horticulture 3
- Health Information Management 12
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 | 130 | |
| 2 | Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4 Hit paper breakdown → | 2024 | 75 |
| 3 | 2013 | 55 | |
| 4 | 2024 | 25 | |
| 5 | 2022 | 21 | |
| 6 | 2023 | 18 | |
| 7 | Carbohydrate metabolism in tomato ( Lycopersicon esculentum Mill.) seedlings and yield and fruit quality as affected by low night temperature and subsequent recovery | 2011 | 12 |
| 8 | 2023 | 8 | |
| 9 | 2024 | 8 | |
| 10 | 2022 | 5 | |
| 11 | 2023 | 5 | |
| 12 | 2026 | 3 | |
| 13 | 2025 | 3 | |
| 14 | 2023 | 1 | |
| 15 | 2025 | 1 |
About Longxi Zhou
Longxi Zhou is a scholar working on Artificial Intelligence, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Health Informatics and Plant Science, having authored 15 papers that have together received 370 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), AI in cancer detection (3 papers), Plant nutrient uptake and metabolism (2 papers), COVID-19 diagnosis using AI (2 papers), Privacy-Preserving Technologies in Data (2 papers), Plant Gene Expression Analysis (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Health Informatics (61 citations), Radiology, Nuclear Medicine and Imaging (145 citations), Artificial Intelligence (127 citations), Horticulture (3 citations) and Health Information Management (12 citations). Longxi Zhou has collaborated with scholars based in Saudi Arabia, China and Netherlands. Frequent co-authors include Xin Gao, Haoyang Li, Juexiao Zhou, Zhongxiao Li, Zhaowen Qiu, Xigang Xiao, Yuxin Huang, Lihua Li, Shahrukh K. Hashmi and Riham Eiada. Their work appears in journals such as Nature Communications, Advanced Science, IEEE Transactions on Medical Imaging, Theoretical and Applied Genetics and Nature Computational Science.
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.