Shaoping Hu
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Long-Term Effects of COVID-19 5
-
- COVID-19 diagnosis using AI 4
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Tianhui Hu (4 shared papers)Jiahui Yuan (4 shared papers)Gang Song (4 shared papers)Wei Zhong (3 shared papers)Zhangming Niu (1 shared paper)Evandro Fei Fang (1 shared paper)Li Lao (1 shared paper)Yinghui Jiang (1 shared paper)
- Journals
- Oncotarget (2 papers)Nature Communications (2 papers)Critical Care (1 paper)PLoS ONE (1 paper)Frontiers in Pediatrics (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Shaoping Hu
22 papers receiving 673 citations
Shaoping Hu's Hit Papers
Peers
Comparison fields: 5 of 101
- Health Informatics 55
- Radiology, Nuclear Medicine and Imaging 305
- Artificial Intelligence 186
- Genetics 43
- Pharmacology 32
Countries citing papers authored by Shaoping Hu
This map shows the geographic impact of Shaoping Hu'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 Shaoping Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoping Hu more than expected).
Fields of papers citing papers by Shaoping Hu
This network shows the impact of papers produced by Shaoping Hu. 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 Shaoping Hu. The network helps show where Shaoping Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoping Hu, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images Hit paper breakdown → | 2020 | 305 |
| 2 | 2014 | 95 | |
| 3 | 2015 | 78 | |
| 4 | 2017 | 47 | |
| 5 | 2020 | 29 | |
| 6 | 2020 | 20 | |
| 7 | 2020 | 19 | |
| 8 | TNF-α and IFN-γ synergistically inhibit the repairing ability of mesenchymal stem cells on mice colitis and colon cancer. | 2019 | 18 |
| 9 | 2020 | 16 | |
| 10 | 2020 | 10 | |
| 11 | 2020 | 10 | |
| 12 | 2020 | 7 | |
| 13 | 2014 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2020 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2025 | 2 | |
| 20 | Fast image template matching based on evolutionary algorithms | 2004 | 1 |
About Shaoping Hu
Shaoping Hu is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Cancer Research and Oncology, having authored 23 papers that have together received 687 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (5 papers), COVID-19 Clinical Research Studies (4 papers), COVID-19 diagnosis using AI (4 papers), Respiratory viral infections research (2 papers), Pneumonia and Respiratory Infections (2 papers), Cancer-related molecular mechanisms research (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Health Informatics (55 citations), Radiology, Nuclear Medicine and Imaging (305 citations), Artificial Intelligence (186 citations), Genetics (43 citations) and Pharmacology (32 citations). Shaoping Hu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Tianhui Hu, Jiahui Yuan, Gang Song, Wei Zhong, Zhangming Niu, Evandro Fei Fang, Li Lao, Yinghui Jiang, Jun Xia and Xianglu Xiao. Their work appears in journals such as Oncotarget, Nature Communications, Critical Care, PLoS ONE and Frontiers in Pediatrics.
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.