Hanping Wu
Impact in
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
-
- COVID-19 diagnosis using AI 2
-
- COVID-19 Clinical Research Studies 4
- Co-authors
- Xiaoyu Han (5 shared papers)Yukun Cao (5 shared papers)Osamah Alwalid (4 shared papers)Yanqing Fan (2 shared papers)Yumin Li (2 shared papers)Jin Gu (2 shared papers)Xi Jia (1 shared paper)Heshui Shi (2 shared papers)
- Journals
- Journal of Materials Chemistry C (2 papers)Scientific Reports (1 paper)International Journal of Medical Sciences (1 paper)Academic Radiology (1 paper)Radiology Cardiothoracic Imaging (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Hanping Wu
15 papers receiving 594 citations
Hanping Wu's Hit Papers
Peers
Comparison fields: 5 of 82
- Neurology 252
- Critical Care and Intensive Care Medicine 85
- Health Informatics 20
- Infectious Diseases 220
- Radiology, Nuclear Medicine and Imaging 176
Countries citing papers authored by Hanping Wu
This map shows the geographic impact of Hanping Wu'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 Hanping Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanping Wu more than expected).
Fields of papers citing papers by Hanping Wu
This network shows the impact of papers produced by Hanping Wu. 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 Hanping Wu. The network helps show where Hanping Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hanping Wu, 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 | Six-month Follow-up Chest CT Findings after Severe COVID-19 Pneumonia Hit paper breakdown → | 2021 | 375 |
| 2 | 2020 | 73 | |
| 3 | 2013 | 49 | |
| 4 | 2010 | 26 | |
| 5 | 2009 | 20 | |
| 6 | 2020 | 17 | |
| 7 | 2012 | 11 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 9 | |
| 10 | 2024 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2020 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Hanping Wu
Hanping Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Polymers and Plastics, Electrical and Electronic Engineering and Neurology, having authored 17 papers that have together received 605 indexed citations. Recurring topics across this work include Conducting polymers and applications (4 papers), COVID-19 Clinical Research Studies (4 papers), Organic Electronics and Photovoltaics (4 papers), Long-Term Effects of COVID-19 (2 papers), COVID-19 diagnosis using AI (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Cardiovascular Disease and Adiposity (2 papers) and Porphyrin and Phthalocyanine Chemistry (2 papers). The work is most often cited by research in Neurology (252 citations), Critical Care and Intensive Care Medicine (85 citations), Health Informatics (20 citations), Infectious Diseases (220 citations) and Radiology, Nuclear Medicine and Imaging (176 citations). Hanping Wu has collaborated with scholars based in China, United States and India. Frequent co-authors include Xiaoyu Han, Yukun Cao, Osamah Alwalid, Yanqing Fan, Yumin Li, Jin Gu, Xi Jia, Heshui Shi, Mei Yuan and Na Li. Their work appears in journals such as Journal of Materials Chemistry C, Scientific Reports, International Journal of Medical Sciences, Academic Radiology and Radiology Cardiothoracic Imaging.
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.