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)Yumin Li (2 shared papers)Yanqing Fan (2 shared papers)Jin Gu (2 shared papers)Mei Yuan (1 shared paper)Na Li (1 shared paper)
- Journals
- Journal of Materials Chemistry C (2 papers)Pharmacological Research (1 paper)Therapeutic Delivery (1 paper)Advanced Functional Materials (1 paper)ACS Applied Energy Materials (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Hanping Wu
17 papers receiving 617 citations
Hanping Wu's Hit Papers
Peers
Comparison fields: 5 of 79
- Neurology 217
- Critical Care and Intensive Care Medicine 60
- Health Informatics 16
- Infectious Diseases 162
- Radiology, Nuclear Medicine and Imaging 141
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 | 387 |
| 2 | 2020 | 74 | |
| 3 | 2013 | 49 | |
| 4 | 2010 | 27 | |
| 5 | 2009 | 20 | |
| 6 | 2020 | 18 | |
| 7 | 2022 | 13 | |
| 8 | 2012 | 12 | |
| 9 | 2021 | 9 | |
| 10 | 2024 | 6 | |
| 11 | 2023 | 3 | |
| 12 | 2020 | 3 | |
| 13 | 2025 | 3 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2025 | 1 |
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 628 indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (4 papers), Conducting polymers and applications (4 papers), COVID-19 Clinical Research Studies (4 papers), Porphyrin and Phthalocyanine Chemistry (2 papers), Cardiovascular Disease and Adiposity (2 papers), COVID-19 diagnosis using AI (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and COVID-19 and healthcare impacts (2 papers). The work is most often cited by research in Neurology (217 citations), Critical Care and Intensive Care Medicine (60 citations), Health Informatics (16 citations), Infectious Diseases (162 citations) and Radiology, Nuclear Medicine and Imaging (141 citations). Hanping Wu has collaborated with scholars based in China, United States and India. Frequent co-authors include Xiaoyu Han, Yukun Cao, Osamah Alwalid, Yumin Li, Yanqing Fan, Jin Gu, Mei Yuan, Na Li, Xi Jia and Heshui Shi. Their work appears in journals such as Journal of Materials Chemistry C, Pharmacological Research, Therapeutic Delivery, Advanced Functional Materials and ACS Applied Energy Materials.
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.