Zhangkai J. Cheng
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 6
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 13
- COVID-19 Clinical Research Studies 11
- SARS-CoV-2 detection and testing 5
- Genetics top 10%
- Virology top 10%
- General Dentistry top 10%
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- Chronic Obstructive Pulmonary Disease (COPD) Research 8
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 7
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- Advanced Radiotherapy Techniques 5
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- Air Quality and Health Impacts 4
- Co-authors
- Jing ShanBaoqing SunMingshan XuePeiyan ZhengFatemeh VafaeeHui GanHuimin HuangZhiqing Zhan
- Journals
- SHILAP Revista de lepidopterología (1 paper)Scientific Reports (2 papers)Cellular and Molecular Life Sciences (1 paper)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Zhangkai J. Cheng
55 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 135
- Modeling and Simulation 133
- Infectious Diseases 388
- Genetics 95
- Virology 42
- General Dentistry 12
Countries citing papers authored by Zhangkai J. Cheng
This map shows the geographic impact of Zhangkai J. 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 Zhangkai J. Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhangkai J. Cheng more than expected).
Fields of papers citing papers by Zhangkai J. Cheng
This network shows the impact of papers produced by Zhangkai J. 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 Zhangkai J. Cheng. The network helps show where Zhangkai J. Cheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhangkai J. 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 | 2024 | 9 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 12 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 3 | |
| 13 | 2022 | 1 | |
| 14 | 2022 | 35 | |
| 15 | 2022 | 11 | |
| 16 | 2021 | 4 | |
| 17 | 2021 | 2 | |
| 18 | 2020 | 414 | |
| 19 | 2020 | 7 | |
| 20 | 2016 | 4 |
About Zhangkai J. Cheng
Zhangkai J. Cheng is a scholar working on Modeling and Simulation, Infectious Diseases and Immunology and Allergy, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (13 papers), COVID-19 Clinical Research Studies (11 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers), COVID-19 epidemiological studies (6 papers), Advanced Radiotherapy Techniques (5 papers), SARS-CoV-2 detection and testing (5 papers) and Air Quality and Health Impacts (4 papers). The work is most often cited by research in Modeling and Simulation (133 citations), Infectious Diseases (388 citations) and Genetics (95 citations). Zhangkai J. Cheng has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Jing Shan, Baoqing Sun, Mingshan Xue, Peiyan Zheng, Fatemeh Vafaee, Hui Gan, Huimin Huang, Zhiqing Zhan, Jason Chen and Amanda L. Hudson. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Cellular and Molecular Life Sciences.
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.