Ting Cui
Impact in
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
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- Acute Myocardial Infarction Research
- Heart Failure Treatment and Management
- Cardiac Health and Mental Health
Papers in
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- Fractional Differential Equations Solutions 9
- COVID-19 epidemiological studies 3
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- Merger and Competition Analysis 2
- Co-authors
- Patrice Gregory (1 shared paper)Alex C. C. Wilson (1 shared paper)Kenneth J. O’Dowd (1 shared paper)John B. Kostis (1 shared paper)Nora M. Cosgrove (1 shared paper)Pu‐yan Nie (7 shared papers)Anwarud Din (7 shared papers)Chan Wang (6 shared papers)
In The Last Decade
Ting Cui
22 papers receiving 379 citations
Peers
Comparison fields: 5 of 96
- Modeling and Simulation 59
- Cardiology and Cardiovascular Medicine 163
- Economics and Econometrics 86
- Public Health, Environmental and Occupational Health 77
- Numerical Analysis 11
Countries citing papers authored by Ting Cui
This map shows the geographic impact of Ting Cui'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 Ting Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Cui more than expected).
Fields of papers citing papers by Ting Cui
This network shows the impact of papers produced by Ting Cui. 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 Ting Cui. The network helps show where Ting Cui may publish in the future.
Co-authors
The 21 scholars most cited alongside Ting Cui, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 203 | |
| 2 | 2020 | 37 | |
| 3 | 2022 | 26 | |
| 4 | 2020 | 21 | |
| 5 | 2022 | 18 | |
| 6 | 2023 | 15 | |
| 7 | 2021 | 15 | |
| 8 | 2019 | 10 | |
| 9 | 2019 | 8 | |
| 10 | 2021 | 5 | |
| 11 | 2019 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2020 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2017 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2007 | 2 |
About Ting Cui
Ting Cui is a scholar working on Modeling and Simulation, Economics and Econometrics, Public Health, Environmental and Occupational Health, Management Science and Operations Research and Marketing, having authored 22 papers that have together received 393 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (9 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Nonlinear Differential Equations Analysis (3 papers), COVID-19 epidemiological studies (3 papers), Innovation Diffusion and Forecasting (2 papers), Merger and Competition Analysis (2 papers), Consumer Market Behavior and Pricing (2 papers) and Differential Equations and Numerical Methods (2 papers). The work is most often cited by research in Modeling and Simulation (59 citations), Cardiology and Cardiovascular Medicine (163 citations), Economics and Econometrics (86 citations), Public Health, Environmental and Occupational Health (77 citations) and Numerical Analysis (11 citations). Ting Cui has collaborated with scholars based in China, Pakistan and Thailand. Frequent co-authors include Patrice Gregory, Alex C. C. Wilson, Kenneth J. O’Dowd, John B. Kostis, Nora M. Cosgrove, Pu‐yan Nie, Anwarud Din, Chan Wang, Hong‐xing Wen and Junying Chen. Their work appears in journals such as Fractals, Scientific Reports, Managerial and Decision Economics, Alexandria Engineering Journal and Royal Society Open 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.