Zhiling Gu
Impact in
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- COVID-19 epidemiological studies
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- Data-Driven Disease Surveillance
Papers in
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- Anomaly Detection Techniques and Applications 2
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- COVID-19 epidemiological studies 2
- Co-authors
- Lei Gao (2 shared papers)Yueying Wang (2 shared papers)Li Wang (3 shared papers)Xinyi Li (2 shared papers)Shan Yu (3 shared papers)Myungjin Kim (3 shared papers)Guannan Wang (3 shared papers)Dan Nettleton (1 shared paper)
- Journals
- Immunity & Ageing (1 paper)Journal of Applied Statistics (1 paper)Notices of the American Mathematical Society (1 paper)Journal of Data Science (1 paper)
- Partner nations
- United States
In The Last Decade
Zhiling Gu
4 papers receiving 19 citations
Peers
Comparison fields: 5 of 17
- Modeling and Simulation 13
- Epidemiology 9
- Ecological Modeling 1
- Infectious Diseases 4
- Radiology, Nuclear Medicine and Imaging 4
Countries citing papers authored by Zhiling Gu
This map shows the geographic impact of Zhiling Gu'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 Zhiling Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhiling Gu more than expected).
Fields of papers citing papers by Zhiling Gu
This network shows the impact of papers produced by Zhiling Gu. 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 Zhiling Gu. The network helps show where Zhiling Gu may publish in the future.
Co-authors
The 12 scholars most cited alongside Zhiling Gu, 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 | 2021 | 7 | |
| 2 | 2021 | 6 | |
| 3 | 2023 | 4 | |
| 4 | 2021 | 2 |
About Zhiling Gu
Zhiling Gu is a scholar working on Artificial Intelligence, Modeling and Simulation, Epidemiology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 4 papers that have together received 19 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (2 papers), Anomaly Detection Techniques and Applications (2 papers), interferon and immune responses (1 paper), Immune Response and Inflammation (1 paper), Immunotherapy and Immune Responses (1 paper), Data-Driven Disease Surveillance (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Modeling and Simulation (13 citations), Epidemiology (9 citations), Ecological Modeling (1 citation), Infectious Diseases (4 citations) and Radiology, Nuclear Medicine and Imaging (4 citations). Zhiling Gu has collaborated with scholars based in United States. Frequent co-authors include Lei Gao, Yueying Wang, Li Wang, Xinyi Li, Shan Yu, Myungjin Kim, Guannan Wang, Dan Nettleton, Surya K. Mallapragada and Michael J. Wannemuehler. Their work appears in journals such as Immunity & Ageing, Journal of Applied Statistics, Notices of the American Mathematical Society and Journal of Data Science.
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.