Zhenshun Cheng
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies 10
- SARS-CoV-2 and COVID-19 Research 4
- Neurology top 2%
- Long-Term Effects of COVID-19 4
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 3
- General Dentistry top 5%
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- Asthma and respiratory diseases 4
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- COVID-19 diagnosis using AI 3
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- Allergic Rhinitis and Sensitization 2
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- Pneumocystis jirovecii pneumonia detection and treatment 2
- Journals
- Clinical Infectious Diseases (1 paper)Scientific Reports (1 paper)American Journal of Roentgenology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Zhenshun Cheng
26 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Infectious Diseases 1.2k
- Neurology 474
- Modeling and Simulation 88
- General Dentistry 32
- Critical Care and Intensive Care Medicine 54
Countries citing papers authored by Zhenshun Cheng
This map shows the geographic impact of Zhenshun Cheng'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 Zhenshun Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenshun Cheng more than expected).
Fields of papers citing papers by Zhenshun Cheng
This network shows the impact of papers produced by Zhenshun Cheng. 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 Zhenshun Cheng. The network helps show where Zhenshun Cheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhenshun Cheng, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 0 | |
| 6 | StreamBox: A Lightweight GPU SandBox for Serverless Inference Workflow | 2024 | 0 |
| 7 | 2023 | 7 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 18 | |
| 11 | 2021 | 84 | |
| 12 | 2021 | 2 | |
| 13 | 2020 | 15 | |
| 14 | The presence of SARS‐CoV‐2 RNA in the feces of COVID‐19 patientsbreakdown → | 2020 | 594 |
| 15 | 2020 | 21 | |
| 16 | 2020 | 18 | |
| 17 | 2020 | 35 | |
| 18 | 2020 | 26 | |
| 19 | 2016 | 9 | |
| 20 | 2013 | 28 |
About Zhenshun Cheng
Zhenshun Cheng is a scholar working on Critical Care and Intensive Care Medicine, Modeling and Simulation and Infectious Diseases, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (10 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Asthma and respiratory diseases (4 papers), Long-Term Effects of COVID-19 (4 papers), COVID-19 diagnosis using AI (3 papers), COVID-19 epidemiological studies (3 papers), Allergic Rhinitis and Sensitization (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Neurology (474 citations) and Modeling and Simulation (88 citations). Zhenshun Cheng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Kaisong Wu, Chaojie Wei, Wei Wang, Lan Ni, Jiong Yang, Guqin Zhang, Qiaoling Deng, Liangjun Chen, Yifei Chen and Guangming Ye. Their work appears in journals such as Clinical Infectious Diseases, Scientific Reports and American Journal of Roentgenology.
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.