Xi Ouyang
Impact in
- Health Informatics top 1%
-
- Occupational Health and Safety Research
Papers in
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- Radiomics and Machine Learning in Medical Imaging 16
- COVID-19 diagnosis using AI 6
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- AI in cancer detection 11
- Co-authors
- Peter E.D. Love (2 shared papers)Hanbin Luo (2 shared papers)Weili Fang (2 shared papers)Lieyun Ding (1 shared paper)Botao Zhong (1 shared paper)Pan Zhou (3 shared papers)Qian Wang (11 shared papers)Dinggang Shen (19 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (4 papers)Journal of Material Science and Technology (2 papers)Lupus (2 papers)Neuroscience (2 papers)Automation in Construction (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xi Ouyang
72 papers receiving 2.4k citations
Xi Ouyang's Hit Papers
Peers
Comparison fields: 5 of 168
- Health Informatics 103
- Radiological and Ultrasound Technology 277
- Radiology, Nuclear Medicine and Imaging 440
- Artificial Intelligence 678
- Computer Vision and Pattern Recognition 355
Countries citing papers authored by Xi Ouyang
This map shows the geographic impact of Xi Ouyang'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 Xi Ouyang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xi Ouyang more than expected).
Fields of papers citing papers by Xi Ouyang
This network shows the impact of papers produced by Xi Ouyang. 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 Xi Ouyang. The network helps show where Xi Ouyang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xi Ouyang, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory Hit paper breakdown → | 2017 | 401 |
| 2 | 2020 | 287 | |
| 3 | 2015 | 172 | |
| 4 | 2018 | 168 | |
| 5 | 2006 | 112 | |
| 6 | 2011 | 110 | |
| 7 | 2020 | 95 | |
| 8 | 2018 | 85 | |
| 9 | 2008 | 85 | |
| 10 | 2024 | 71 | |
| 11 | 2017 | 64 | |
| 12 | 2020 | 61 | |
| 13 | 2009 | 59 | |
| 14 | 2019 | 57 | |
| 15 | 2019 | 55 | |
| 16 | 2017 | 52 | |
| 17 | 2018 | 30 | |
| 18 | 2022 | 28 | |
| 19 | 2021 | 28 | |
| 20 | 2022 | 23 |
About Xi Ouyang
Xi Ouyang is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 74 papers that have together received 2.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (16 papers), AI in cancer detection (11 papers), COVID-19 diagnosis using AI (6 papers), Medical Image Segmentation Techniques (4 papers), Sexual function and dysfunction studies (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Artificial Intelligence in Healthcare and Education (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Health Informatics (103 citations), Radiological and Ultrasound Technology (277 citations), Radiology, Nuclear Medicine and Imaging (440 citations), Artificial Intelligence (678 citations) and Computer Vision and Pattern Recognition (355 citations). Xi Ouyang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Peter E.D. Love, Hanbin Luo, Weili Fang, Lieyun Ding, Botao Zhong, Pan Zhou, Qian Wang, Dinggang Shen, Lijun Liu and Junxia Chen. Their work appears in journals such as IEEE Transactions on Medical Imaging, Journal of Material Science and Technology, Lupus, Neuroscience and Automation in Construction.
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.