Xi Ouyang
Impact in
- Health Informatics top 1%
-
- Occupational Health and Safety Research
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 16
- COVID-19 diagnosis using AI 6
-
- Medical Image Segmentation Techniques 4
- Co-authors
- Weili Fang (2 shared papers)Peter E.D. Love (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 (11 shared papers)Dinggang G. Shen (19 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (4 papers)Automation in Construction (2 papers)Medical Image Analysis (2 papers)Neuroscience (2 papers)Journal of Material Science and Technology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xi Ouyang
73 papers receiving 2.5k citations
Xi Ouyang's Hit Papers
Peers
Comparison fields: 5 of 167
- Health Informatics 109
- Radiological and Ultrasound Technology 276
- Radiology, Nuclear Medicine and Imaging 449
- Artificial Intelligence 699
- Computer Vision and Pattern Recognition 365
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 | 403 |
| 2 | 2020 | 292 | |
| 3 | 2015 | 175 | |
| 4 | 2018 | 171 | |
| 5 | 2006 | 114 | |
| 6 | 2011 | 112 | |
| 7 | 2020 | 101 | |
| 8 | 2018 | 88 | |
| 9 | 2024 | 86 | |
| 10 | 2008 | 85 | |
| 11 | 2017 | 69 | |
| 12 | 2020 | 62 | |
| 13 | 2009 | 59 | |
| 14 | 2019 | 58 | |
| 15 | 2019 | 56 | |
| 16 | 2017 | 53 | |
| 17 | 2018 | 32 | |
| 18 | 2022 | 32 | |
| 19 | 2021 | 30 | |
| 20 | 2022 | 24 |
About Xi Ouyang
Xi Ouyang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Health Informatics and Molecular Biology, having authored 74 papers that have together received 2.6k 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), RNA modifications and cancer (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Sexual function and dysfunction studies (4 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Health Informatics (109 citations), Radiological and Ultrasound Technology (276 citations), Radiology, Nuclear Medicine and Imaging (449 citations), Artificial Intelligence (699 citations) and Computer Vision and Pattern Recognition (365 citations). Xi Ouyang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Weili Fang, Peter E.D. Love, Hanbin Luo, Botao Zhong, Lieyun Ding, Pan Zhou, Qian Wang, Dinggang G. Shen, Lijun Liu and Junxia Chen. Their work appears in journals such as IEEE Transactions on Medical Imaging, Automation in Construction, Medical Image Analysis, 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.