Ting Gao
Impact in
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
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- stochastic dynamics and bifurcation
Papers in
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- Model Reduction and Neural Networks 7
- stochastic dynamics and bifurcation 5
- Co-authors
- Jinqiao Duan (24 shared papers)Yongjie Pang (3 shared papers)Yanwen Jin (5 shared papers)Yaxing Wang (2 shared papers)Xuan Liu (6 shared papers)Yong Hu (2 shared papers)Qingjun Ma (1 shared paper)Ping Li (1 shared paper)
- Journals
- Chaos An Interdisciplinary Journal of Nonlinear Science (6 papers)Physica D Nonlinear Phenomena (3 papers)Applied Mathematical Modelling (2 papers)eLife (2 papers)Journal of Virology (2 papers)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Ting Gao
39 papers receiving 773 citations
Peers
Comparison fields: 5 of 98
- Modeling and Simulation 80
- Statistical and Nonlinear Physics 157
- Infectious Diseases 180
- Ocean Engineering 131
- Immunology 136
Countries citing papers authored by Ting Gao
This map shows the geographic impact of Ting Gao'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 Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Gao more than expected).
Fields of papers citing papers by Ting Gao
This network shows the impact of papers produced by Ting Gao. 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 Gao. The network helps show where Ting Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting Gao, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 230 | |
| 2 | 2016 | 92 | |
| 3 | 2014 | 75 | |
| 4 | 2018 | 55 | |
| 5 | 2014 | 47 | |
| 6 | 2022 | 38 | |
| 7 | 2016 | 31 | |
| 8 | 2019 | 27 | |
| 9 | 2011 | 21 | |
| 10 | 2018 | 17 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 12 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 10 | |
| 15 | 2024 | 10 | |
| 16 | 2019 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2016 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2021 | 6 |
About Ting Gao
Ting Gao is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Infectious Diseases, Electrical and Electronic Engineering and Ocean Engineering, having authored 44 papers that have together received 784 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (7 papers), Viral Infections and Vectors (6 papers), stochastic dynamics and bifurcation (5 papers), Probabilistic and Robust Engineering Design (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Fluid Dynamics Simulations and Interactions (3 papers), interferon and immune responses (3 papers) and Ship Hydrodynamics and Maneuverability (3 papers). The work is most often cited by research in Modeling and Simulation (80 citations), Statistical and Nonlinear Physics (157 citations), Infectious Diseases (180 citations), Ocean Engineering (131 citations) and Immunology (136 citations). Ting Gao has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Jinqiao Duan, Yongjie Pang, Yanwen Jin, Yaxing Wang, Xuan Liu, Yong Hu, Qingjun Ma, Ping Li, Wei Li and Yan Cui. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Physica D Nonlinear Phenomena, Applied Mathematical Modelling, eLife and Journal of Virology.
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.