Yuting Ding
Impact in
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
- COVID-19 epidemiological studies
-
- Chaos control and synchronization
- stochastic dynamics and bifurcation
Papers in
-
- Mathematical and Theoretical Epidemiology and Ecology Models 25
-
- Nonlinear Dynamics and Pattern Formation 16
- Co-authors
- Weihua Jiang (12 shared papers)Pei Yu (6 shared papers)Majid Sartaj (1 shared paper)Hongbin Wang (3 shared papers)Jun Cao (3 shared papers)Ruizhi Yang (2 shared papers)Yanyan Liu (3 shared papers)Di Geng (2 shared papers)
In The Last Decade
Yuting Ding
61 papers receiving 477 citations
Peers
Comparison fields: 5 of 103
- Modeling and Simulation 90
- Statistical and Nonlinear Physics 103
- Computer Networks and Communications 121
- Public Health, Environmental and Occupational Health 120
- Molecular Medicine 14
Countries citing papers authored by Yuting Ding
This map shows the geographic impact of Yuting Ding'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 Yuting Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Ding more than expected).
Fields of papers citing papers by Yuting Ding
This network shows the impact of papers produced by Yuting Ding. 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 Yuting Ding. The network helps show where Yuting Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuting Ding, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 48 | |
| 2 | 2010 | 34 | |
| 3 | 2018 | 25 | |
| 4 | 2021 | 23 | |
| 5 | 2021 | 21 | |
| 6 | 2019 | 19 | |
| 7 | 2012 | 19 | |
| 8 | 2012 | 17 | |
| 9 | 2013 | 17 | |
| 10 | 2014 | 16 | |
| 11 | 2022 | 14 | |
| 12 | 2012 | 14 | |
| 13 | 2023 | 14 | |
| 14 | 2015 | 12 | |
| 15 | 2015 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2013 | 9 | |
| 18 | 2024 | 9 | |
| 19 | 2023 | 8 | |
| 20 | 2022 | 8 |
About Yuting Ding
Yuting Ding is a scholar working on Public Health, Environmental and Occupational Health, Computer Networks and Communications, Modeling and Simulation, Statistical and Nonlinear Physics and Genetics, having authored 64 papers that have together received 489 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (25 papers), Nonlinear Dynamics and Pattern Formation (16 papers), Evolution and Genetic Dynamics (9 papers), Chaos control and synchronization (9 papers), Fractional Differential Equations Solutions (9 papers), COVID-19 epidemiological studies (7 papers), Atmospheric chemistry and aerosols (5 papers) and stochastic dynamics and bifurcation (5 papers). The work is most often cited by research in Modeling and Simulation (90 citations), Statistical and Nonlinear Physics (103 citations), Computer Networks and Communications (121 citations), Public Health, Environmental and Occupational Health (120 citations) and Molecular Medicine (14 citations). Yuting Ding has collaborated with scholars based in China, Canada and Slovenia. Frequent co-authors include Weihua Jiang, Pei Yu, Majid Sartaj, Hongbin Wang, Jun Cao, Ruizhi Yang, Yanyan Liu, Di Geng, Gaoyang Liu and Yuwei Yang. Their work appears in journals such as Nonlinear Dynamics, Mathematical Biosciences & Engineering, International Journal of Bifurcation and Chaos, Communications in Nonlinear Science and Numerical Simulation and Journal of Mathematical Analysis and Applications.
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.