Lisong Dai
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 3
- COVID-19 diagnosis using AI 2
- Co-authors
- Xiangyang Xu (6 shared papers)Hongmei Zhou (4 shared papers)Zhentao Zuo (2 shared papers)Tianyi Li (1 shared paper)Xin Deng (1 shared paper)Xiaofei Wang (1 shared paper)Lai Jiang (1 shared paper)Pier Luigi Dragotti (1 shared paper)
- Journals
- Radiology Artificial Intelligence (2 papers)European Radiology (2 papers)European Journal of Radiology (2 papers)Academic Radiology (2 papers)Nature Communications (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Lisong Dai
19 papers receiving 254 citations
Peers
Comparison fields: 5 of 59
- Health Informatics 15
- Biological Psychiatry 11
- Radiology, Nuclear Medicine and Imaging 67
- Behavioral Neuroscience 8
- Cognitive Neuroscience 40
Countries citing papers authored by Lisong Dai
This map shows the geographic impact of Lisong Dai'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 Lisong Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisong Dai more than expected).
Fields of papers citing papers by Lisong Dai
This network shows the impact of papers produced by Lisong Dai. 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 Lisong Dai. The network helps show where Lisong Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Lisong Dai, 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 | 2019 | 77 | |
| 2 | 2021 | 56 | |
| 3 | 2021 | 27 | |
| 4 | 2021 | 12 | |
| 5 | 2024 | 12 | |
| 6 | 2024 | 11 | |
| 7 | 2024 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2024 | 7 | |
| 10 | 2021 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2024 | 1 |
About Lisong Dai
Lisong Dai is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Surgery and Neurology, having authored 19 papers that have together received 257 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced X-ray and CT Imaging (3 papers), Peripheral Artery Disease Management (2 papers), COVID-19 diagnosis using AI (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Digital Imaging for Blood Diseases (1 paper) and Transcranial Magnetic Stimulation Studies (1 paper). The work is most often cited by research in Health Informatics (15 citations), Biological Psychiatry (11 citations), Radiology, Nuclear Medicine and Imaging (67 citations), Behavioral Neuroscience (8 citations) and Cognitive Neuroscience (40 citations). Lisong Dai has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiangyang Xu, Hongmei Zhou, Zhentao Zuo, Tianyi Li, Xin Deng, Xiaofei Wang, Lai Jiang, Pier Luigi Dragotti, Zulin Wang and Liu Li. Their work appears in journals such as Radiology Artificial Intelligence, European Radiology, European Journal of Radiology, Academic Radiology and Nature Communications.
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.