Shipei Wang
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
-
- Long-Term Effects of COVID-19
Papers in
-
- COVID-19 Clinical Research Studies 7
-
- DNA Repair Mechanisms 1
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Zeming Liu (12 shared papers)Wen Zeng (11 shared papers)Liang Guo (12 shared papers)Danyang Chen (9 shared papers)Sichao Chen (10 shared papers)Yihui Huang (9 shared papers)Wei Zhou (4 shared papers)Min Wang (4 shared papers)
- Journals
- Frontiers in Medicine (3 papers)Journal of Visual Communication and Image Representation (2 papers)Frontiers in Pharmacology (1 paper)Frontiers in Public Health (1 paper)Travel Medicine and Infectious Disease (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Shipei Wang
21 papers receiving 367 citations
Peers
Comparison fields: 5 of 86
- Infectious Diseases 184
- Neurology 66
- Dermatology 21
- Applied Microbiology and Biotechnology 4
- Critical Care and Intensive Care Medicine 8
Countries citing papers authored by Shipei Wang
This map shows the geographic impact of Shipei Wang'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 Shipei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shipei Wang more than expected).
Fields of papers citing papers by Shipei Wang
This network shows the impact of papers produced by Shipei Wang. 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 Shipei Wang. The network helps show where Shipei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shipei Wang, 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 | 2020 | 166 | |
| 2 | 2020 | 29 | |
| 3 | 2020 | 27 | |
| 4 | 2020 | 24 | |
| 5 | 2021 | 19 | |
| 6 | 2020 | 19 | |
| 7 | 2021 | 15 | |
| 8 | 2019 | 13 | |
| 9 | 2020 | 12 | |
| 10 | 2017 | 10 | |
| 11 | 2021 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2017 | 6 | |
| 14 | 2025 | 4 | |
| 15 | 2019 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2025 | 1 |
About Shipei Wang
Shipei Wang is a scholar working on Infectious Diseases, Molecular Biology, Dermatology, Neurology and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 372 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), Long-Term Effects of COVID-19 (3 papers), Advanced Image Processing Techniques (2 papers), COVID-19 and healthcare impacts (2 papers), Male Breast Health Studies (2 papers), DNA Repair Mechanisms (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Image Enhancement Techniques (1 paper). The work is most often cited by research in Infectious Diseases (184 citations), Neurology (66 citations), Dermatology (21 citations), Applied Microbiology and Biotechnology (4 citations) and Critical Care and Intensive Care Medicine (8 citations). Shipei Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zeming Liu, Wen Zeng, Liang Guo, Danyang Chen, Sichao Chen, Yihui Huang, Wei Zhou, Min Wang, Haibo Xu and Lin Zhou. Their work appears in journals such as Frontiers in Medicine, Journal of Visual Communication and Image Representation, Frontiers in Pharmacology, Frontiers in Public Health and Travel Medicine and Infectious Disease.
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.