Pinggui Lei
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in ⓘ
-
- Radiomics and Machine Learning in Medical Imaging 16
- COVID-19 diagnosis using AI 5
- Epidemiology 11
- Liver Disease Diagnosis and Treatment 9
- Co-authors
- William C. Cho (1 shared paper)Bing Fan (13 shared papers)Vivian Weiwen Xue (1 shared paper)Bingliang Zeng (4 shared papers)Peng Yu (2 shared papers)Zicong Li (2 shared papers)Hao Liu (1 shared paper)Jian Zhou (1 shared paper)
- Journals
- Journal of X-Ray Science and Technology (6 papers)Scientific Reports (3 papers)Academic Radiology (3 papers)Frontiers in Oncology (2 papers)European Journal of Radiology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Pinggui Lei
34 papers receiving 601 citations
Peers
Comparison fields: 5 of 92
- Health Informatics 127
- Radiology, Nuclear Medicine and Imaging 322
- Critical Care and Intensive Care Medicine 48
- Infectious Diseases 159
- Neurology 119
Countries citing papers authored by Pinggui Lei
This map shows the geographic impact of Pinggui Lei'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 Pinggui Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pinggui Lei more than expected).
Fields of papers citing papers by Pinggui Lei
This network shows the impact of papers produced by Pinggui Lei. 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 Pinggui Lei. The network helps show where Pinggui Lei may publish in the future.
Co-authors
The 25 scholars most cited alongside Pinggui Lei, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 178 | |
| 2 | 2023 | 122 | |
| 3 | 2020 | 72 | |
| 4 | 2020 | 42 | |
| 5 | 2020 | 35 | |
| 6 | 2021 | 32 | |
| 7 | 2021 | 17 | |
| 8 | 2022 | 12 | |
| 9 | 2017 | 9 | |
| 10 | 2020 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2019 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 2024 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2022 | 3 |
About Pinggui Lei
Pinggui Lei is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology, Hepatology, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 36 papers that have together received 611 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (16 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Liver Disease Diagnosis and Treatment (9 papers), Advanced X-ray and CT Imaging (6 papers), COVID-19 diagnosis using AI (5 papers), AI in cancer detection (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Health Informatics (127 citations), Radiology, Nuclear Medicine and Imaging (322 citations), Critical Care and Intensive Care Medicine (48 citations), Infectious Diseases (159 citations) and Neurology (119 citations). Pinggui Lei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include William C. Cho, Bing Fan, Vivian Weiwen Xue, Bingliang Zeng, Peng Yu, Zicong Li, Hao Liu, Jian Zhou, Shaobo Hu and Chuanhong Wang. Their work appears in journals such as Journal of X-Ray Science and Technology, Scientific Reports, Academic Radiology, Frontiers in Oncology and European Journal of Radiology.
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.