Liusu Wang
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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- Radiomics and Machine Learning in Medical Imaging 4
- COVID-19 diagnosis using AI 3
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- Lung Cancer Diagnosis and Treatment 3
- Prostate Cancer Diagnosis and Treatment 1
- Co-authors
- Yongbei Zhu (6 shared papers)Shuo Wang (4 shared papers)Qingxia Wu (3 shared papers)Yu He (3 shared papers)Yunfei Zha (2 shared papers)Meiyun Wang (2 shared papers)Hongjun Li (2 shared papers)Meng Niu (2 shared papers)
- Journals
- IEEE Transactions on Emerging Topics in Computational Intelligence (1 paper)Cancer Medicine (1 paper)European Respiratory Journal (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)Journal of Baltic Science Education (1 paper)
- Partner nations
- China
In The Last Decade
Liusu Wang
7 papers receiving 440 citations
Peers
Comparison fields: 5 of 65
- Health Informatics 71
- Radiology, Nuclear Medicine and Imaging 321
- Artificial Intelligence 157
- Health Information Management 19
- Modeling and Simulation 15
Countries citing papers authored by Liusu Wang
This map shows the geographic impact of Liusu Wang'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 Liusu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liusu Wang more than expected).
Fields of papers citing papers by Liusu Wang
This network shows the impact of papers produced by Liusu Wang. 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 Liusu Wang. The network helps show where Liusu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Liusu Wang, 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 | 386 | |
| 2 | 2022 | 26 | |
| 3 | 2021 | 16 | |
| 4 | 2018 | 11 | |
| 5 | 2021 | 6 | |
| 6 | 2022 | 5 | |
| 7 | 2021 | 4 |
About Liusu Wang
Liusu Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Developmental and Educational Psychology and Infectious Diseases, having authored 7 papers that have together received 454 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Diagnosis and Treatment (3 papers), COVID-19 diagnosis using AI (3 papers), AI in cancer detection (2 papers), COVID-19 Clinical Research Studies (1 paper), Innovative Teaching Methods (1 paper), Prostate Cancer Diagnosis and Treatment (1 paper) and Educational Strategies and Epistemologies (1 paper). The work is most often cited by research in Health Informatics (71 citations), Radiology, Nuclear Medicine and Imaging (321 citations), Artificial Intelligence (157 citations), Health Information Management (19 citations) and Modeling and Simulation (15 citations). Liusu Wang has collaborated with scholars based in China. Frequent co-authors include Yongbei Zhu, Shuo Wang, Qingxia Wu, Yu He, Yunfei Zha, Meiyun Wang, Hongjun Li, Meng Niu, Weimin Li and Xiaohu Li. Their work appears in journals such as IEEE Transactions on Emerging Topics in Computational Intelligence, Cancer Medicine, European Respiratory Journal, IEEE Transactions on Biomedical Engineering and Journal of Baltic Science Education.
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.