Yu Deng
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
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- Biosensors and Analytical Detection
Papers in
-
- SARS-CoV-2 detection and testing 16
- SARS-CoV-2 and COVID-19 Research 5
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- Biosensors and Analytical Detection 10
- Co-authors
- Xiawan Zheng (16 shared papers)Leo L. M. Poon (13 shared papers)Tong Zhang (16 shared papers)Xiaoqing Xu (15 shared papers)Jiahui Ding (12 shared papers)Shuxian Li (9 shared papers)Hein M. Tun (6 shared papers)Malik Peiris (7 shared papers)
- Journals
- Water Research (7 papers)The Science of The Total Environment (6 papers)PLoS ONE (2 papers)International Journal of Environmental Research and Public Health (2 papers)Lingua (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yu Deng
41 papers receiving 498 citations
Peers
Comparison fields: 5 of 93
- Infectious Diseases 327
- Biomedical Engineering 202
- Modeling and Simulation 15
- Human-Computer Interaction 13
- Radiology, Nuclear Medicine and Imaging 48
Countries citing papers authored by Yu Deng
This map shows the geographic impact of Yu Deng'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 Yu Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Deng more than expected).
Fields of papers citing papers by Yu Deng
This network shows the impact of papers produced by Yu Deng. 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 Yu Deng. The network helps show where Yu Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Deng, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 80 | |
| 2 | 2021 | 58 | |
| 3 | 2022 | 45 | |
| 4 | 2022 | 34 | |
| 5 | 2022 | 26 | |
| 6 | 2022 | 25 | |
| 7 | 2022 | 23 | |
| 8 | 2003 | 22 | |
| 9 | 2023 | 19 | |
| 10 | 2022 | 16 | |
| 11 | 2024 | 14 | |
| 12 | 2024 | 12 | |
| 13 | 2023 | 12 | |
| 14 | 2022 | 10 | |
| 15 | 2024 | 10 | |
| 16 | 2021 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2024 | 8 | |
| 19 | 2021 | 7 | |
| 20 | 2024 | 6 |
About Yu Deng
Yu Deng is a scholar working on Infectious Diseases, Biomedical Engineering, Molecular Biology, Experimental and Cognitive Psychology and Clinical Psychology, having authored 52 papers that have together received 504 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (16 papers), Biosensors and Analytical Detection (10 papers), Advanced biosensing and bioanalysis techniques (7 papers), Language, Metaphor, and Cognition (6 papers), COVID-19 and Mental Health (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 diagnosis using AI (4 papers) and Atmospheric chemistry and aerosols (2 papers). The work is most often cited by research in Infectious Diseases (327 citations), Biomedical Engineering (202 citations), Modeling and Simulation (15 citations), Human-Computer Interaction (13 citations) and Radiology, Nuclear Medicine and Imaging (48 citations). Yu Deng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiawan Zheng, Leo L. M. Poon, Tong Zhang, Xiaoqing Xu, Jiahui Ding, Shuxian Li, Hein M. Tun, Malik Peiris, GM Leung and Ho-Kwong Chui. Their work appears in journals such as Water Research, The Science of The Total Environment, PLoS ONE, International Journal of Environmental Research and Public Health and Lingua.
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.