Cui-Cui Ding
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Nonlinear Waves and Solitons
- Nonlinear Photonic Systems
- Modeling and Simulation top 0.5%
- Fractional Differential Equations Solutions
Papers in
-
- Nonlinear Photonic Systems 40
- Nonlinear Waves and Solitons 40
- Biomaterials 39
- Collagen: Extraction and Characterization 33
- Silk-based biomaterials and applications 10
- Electrospun Nanofibers in Biomedical Applications 8
- Co-authors
- Yi-Tian Gao (34 shared papers)Gao-Fu Deng (11 shared papers)Guoying Li (7 shared papers)Min Zhang (24 shared papers)Min Zhang (8 shared papers)Liu-Qing Li (12 shared papers)Jing-Jing Su (8 shared papers)Xin Yu (15 shared papers)
In The Last Decade
Cui-Cui Ding
88 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 118
- Statistical and Nonlinear Physics 1.6k
- Modeling and Simulation 345
- Biomaterials 782
- Molecular Medicine 145
- Rehabilitation 164
Countries citing papers authored by Cui-Cui Ding
This map shows the geographic impact of Cui-Cui 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 Cui-Cui Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cui-Cui Ding more than expected).
Fields of papers citing papers by Cui-Cui Ding
This network shows the impact of papers produced by Cui-Cui 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 Cui-Cui Ding. The network helps show where Cui-Cui Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Cui-Cui 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 204 | |
| 2 | 2020 | 126 | |
| 3 | 2018 | 110 | |
| 4 | 2019 | 94 | |
| 5 | 2019 | 89 | |
| 6 | 2020 | 85 | |
| 7 | 2020 | 80 | |
| 8 | 2022 | 77 | |
| 9 | 2019 | 75 | |
| 10 | 2020 | 71 | |
| 11 | 2020 | 70 | |
| 12 | 2022 | 70 | |
| 13 | 2020 | 68 | |
| 14 | 2021 | 67 | |
| 15 | 2019 | 62 | |
| 16 | 2022 | 59 | |
| 17 | 2022 | 56 | |
| 18 | 2015 | 52 | |
| 19 | 2022 | 52 | |
| 20 | 2021 | 47 |
About Cui-Cui Ding
Cui-Cui Ding is a scholar working on Statistical and Nonlinear Physics, Biomaterials, Atomic and Molecular Physics, and Optics, Modeling and Simulation and Biomedical Engineering, having authored 91 papers that have together received 2.9k indexed citations. Recurring topics across this work include Nonlinear Photonic Systems (40 papers), Nonlinear Waves and Solitons (40 papers), Collagen: Extraction and Characterization (33 papers), Fractional Differential Equations Solutions (12 papers), Silk-based biomaterials and applications (10 papers), Advanced Fiber Laser Technologies (10 papers), Electrospun Nanofibers in Biomedical Applications (8 papers) and Bone Tissue Engineering Materials (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.6k citations), Modeling and Simulation (345 citations), Biomaterials (782 citations), Molecular Medicine (145 citations) and Rehabilitation (164 citations). Cui-Cui Ding has collaborated with scholars based in China, Canada and Algeria. Frequent co-authors include Yi-Tian Gao, Gao-Fu Deng, Guoying Li, Min Zhang, Min Zhang, Liu-Qing Li, Jing-Jing Su, Xin Yu, Ting-Ting Jia and Liulian Huang. Their work appears in journals such as Nonlinear Dynamics, Chaos Solitons & Fractals, Carbohydrate Polymers, International Journal of Biological Macromolecules and Applied Mathematics Letters.
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.