Xi Ouyang
Impact in
- Health Informatics top 1%
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- Occupational Health and Safety Research
Papers in ⓘ
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- RNA modifications and cancer 5
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- AI in cancer detection 5
- Co-authors
- Peter E.D. Love (2 shared papers)Weili Fang (2 shared papers)Hanbin Luo (2 shared papers)Botao Zhong (1 shared paper)Lieyun Ding (1 shared paper)Pan Zhou (3 shared papers)Qian Wang (7 shared papers)Lijun Liu (1 shared paper)
- Journals
- IEEE Transactions on Medical Imaging (4 papers)Medical Image Analysis (2 papers)Lupus (2 papers)Neuroscience (2 papers)Journal of Material Science and Technology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xi Ouyang
59 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Health Informatics 113
- Radiological and Ultrasound Technology 265
- Artificial Intelligence 582
- Radiology, Nuclear Medicine and Imaging 374
- Computer Vision and Pattern Recognition 293
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 63 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 | 382 |
| 2 | 2020 | 264 | |
| 3 | 2018 | 155 | |
| 4 | 2015 | 150 | |
| 5 | 2011 | 106 | |
| 6 | 2006 | 103 | |
| 7 | 2008 | 83 | |
| 8 | 2018 | 82 | |
| 9 | 2020 | 82 | |
| 10 | 2020 | 59 | |
| 11 | 2017 | 59 | |
| 12 | 2009 | 57 | |
| 13 | 2024 | 57 | |
| 14 | 2019 | 53 | |
| 15 | 2019 | 52 | |
| 16 | 2017 | 51 | |
| 17 | 2018 | 30 | |
| 18 | 2022 | 23 | |
| 19 | 2022 | 22 | |
| 20 | 2015 | 21 |
About Xi Ouyang
Xi Ouyang is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health, having authored 63 papers that have together received 2.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), RNA modifications and cancer (5 papers), Sexual function and dysfunction studies (5 papers), AI in cancer detection (5 papers), COVID-19 diagnosis using AI (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Video Surveillance and Tracking Methods (3 papers) and Infrastructure Maintenance and Monitoring (3 papers). The work is most often cited by research in Health Informatics (113 citations), Radiological and Ultrasound Technology (265 citations), Artificial Intelligence (582 citations), Radiology, Nuclear Medicine and Imaging (374 citations) and Computer Vision and Pattern Recognition (293 citations). Xi Ouyang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Peter E.D. Love, Weili Fang, Hanbin Luo, Botao Zhong, Lieyun Ding, Pan Zhou, Qian Wang, Lijun Liu, Junxia Chen and Dinggang Shen. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis, Lupus, Neuroscience and Journal of Material 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.