Pu Ai
Impact in
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- Vaccine Coverage and Hesitancy
Papers in
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- Radiomics and Machine Learning in Medical Imaging 5
- Co-authors
- Zisheng Ai (8 shared papers)Ying Wu (2 shared papers)Jialin Zheng (6 shared papers)Xiaohuan Xia (5 shared papers)Lu Wang (1 shared paper)Yihan Liu (3 shared papers)Jiayi Wang (8 shared papers)Guo‐Tong Xu (1 shared paper)
- Journals
- Frontiers in Neurology (2 papers)Journal of Nanobiotechnology (2 papers)Cell Death Discovery (1 paper)Frontiers in Psychiatry (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Pu Ai
20 papers receiving 361 citations
Peers
Comparison fields: 5 of 96
- Biological Psychiatry 13
- Health 38
- Health Informatics 5
- Ophthalmology 30
- Neurology 23
Countries citing papers authored by Pu Ai
This map shows the geographic impact of Pu Ai'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 Pu Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Ai more than expected).
Fields of papers citing papers by Pu Ai
This network shows the impact of papers produced by Pu Ai. 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 Pu Ai. The network helps show where Pu Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Pu Ai, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 65 | |
| 2 | 2017 | 60 | |
| 3 | 2020 | 40 | |
| 4 | 2022 | 35 | |
| 5 | 2017 | 27 | |
| 6 | 2023 | 23 | |
| 7 | 2023 | 16 | |
| 8 | 2022 | 13 | |
| 9 | 2023 | 13 | |
| 10 | 2024 | 12 | |
| 11 | 2020 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2023 | 10 | |
| 14 | 2020 | 10 | |
| 15 | 2022 | 8 | |
| 16 | 2022 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 3 |
About Pu Ai
Pu Ai is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Genetics, having authored 21 papers that have together received 373 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Breast Cancer Treatment Studies (3 papers), Glioma Diagnosis and Treatment (3 papers), Nanocluster Synthesis and Applications (2 papers), Ferroptosis and cancer prognosis (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Advanced Nanomaterials in Catalysis (2 papers) and Asymmetric Synthesis and Catalysis (1 paper). The work is most often cited by research in Biological Psychiatry (13 citations), Health (38 citations), Health Informatics (5 citations), Ophthalmology (30 citations) and Neurology (23 citations). Pu Ai has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Zisheng Ai, Ying Wu, Jialin Zheng, Xiaohuan Xia, Lu Wang, Yihan Liu, Jiayi Wang, Guo‐Tong Xu, Chunlei Zhang and Xiaonan Xu. Their work appears in journals such as Frontiers in Neurology, Journal of Nanobiotechnology, Cell Death Discovery, Frontiers in Psychiatry and International Journal of Biological Macromolecules.
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.