Ying Su

538 total citations
29 papers, 434 citations indexed

About

Ying Su is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Computer Networks and Communications. According to data from OpenAlex, Ying Su has authored 29 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Public Health, Environmental and Occupational Health, 9 papers in Genetics and 6 papers in Computer Networks and Communications. Recurrent topics in Ying Su's work include Mathematical and Theoretical Epidemiology and Ecology Models (13 papers), Evolution and Genetic Dynamics (9 papers) and Nonlinear Dynamics and Pattern Formation (5 papers). Ying Su is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (13 papers), Evolution and Genetic Dynamics (9 papers) and Nonlinear Dynamics and Pattern Formation (5 papers). Ying Su collaborates with scholars based in China, Canada and United States. Ying Su's co-authors include Junjie Wei, Junping Shi, Xingfu Zou, Shigui Ruan, Dasheng Leow, Xinfu Pan, Bo Zheng, Xuegong She, Xiaoke Ma and Chao Chen and has published in prestigious journals such as IEEE Access, Tetrahedron Letters and European Journal of Organic Chemistry.

In The Last Decade

Ying Su

23 papers receiving 408 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ying Su China	10	349	158	133	115	89	29	434
Yaping Wu China	14	450 1.3×	186 1.2×	114 0.9×	309 2.7×	142 1.6×	38	611
Xiangdong Xie China	18	647 1.9×	416 2.6×	152 1.1×	128 1.1×	65 0.7×	34	703
Cun‐Hua Zhang China	11	327 0.9×	155 1.0×	177 1.3×	103 0.9×	49 0.6×	34	392
Antonio Tineo Venezuela	14	401 1.1×	126 0.8×	72 0.5×	147 1.3×	242 2.7×	46	578
Thomas Giletti France	12	339 1.0×	184 1.2×	63 0.5×	149 1.3×	98 1.1×	24	388
Huaxing Xia Canada	8	269 0.8×	142 0.9×	81 0.6×	113 1.0×	132 1.5×	12	453
Yuanfu Shao China	12	310 0.9×	202 1.3×	129 1.0×	132 1.1×	59 0.7×	70	445
Je-Chiang Tsai Taiwan	11	159 0.5×	73 0.5×	102 0.8×	85 0.7×	34 0.4×	33	309
Gonzalo Robledo Chile	11	150 0.4×	63 0.4×	59 0.4×	69 0.6×	88 1.0×	37	326
Yukio Kan-on Japan	10	485 1.4×	266 1.7×	129 1.0×	206 1.8×	121 1.4×	21	553

Countries citing papers authored by Ying Su

Since Specialization

Citations

This map shows the geographic impact of Ying Su'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 Ying Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Su more than expected).

Fields of papers citing papers by Ying Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying Su. 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 Ying Su. The network helps show where Ying Su may publish in the future.

Co-authorship network of co-authors of Ying Su

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Su. A scholar is included among the top collaborators of Ying Su based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying Su. Ying Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ma, Xiaoke & Ying Su. (2025). Threshold dynamics of a Wolbachia-driven mosquito suppression model on two patches. Mathematical Biosciences. 387. 109495–109495.

Su, Ying, et al.. (2025). Sharp Rate of the Accelerating Propagation for a Recursive System. Studies in Applied Mathematics. 154(2).

Ma, Xiaoke, Ying Su, & Xingfu Zou. (2024). Joint Impact of Maturation Delay and Fear Effect on the Population Dynamics of a Predator-Prey System. SIAM Journal on Applied Mathematics. 84(4). 1557–1579. 3 indexed citations

Ma, Xiaoke & Ying Su. (2024). Wolbachia Invasion in Mosquitoes with Incomplete CI, Imperfect Maternal Transmission and Maturation Delay. Bulletin of Mathematical Biology. 86(12). 137–137. 1 indexed citations

Wang, Gang, et al.. (2024). Multi-modality hierarchical attention networks for defect identification in pipeline MFL detection. Measurement Science and Technology. 35(11). 116107–116107. 2 indexed citations

Li, Na, et al.. (2023). Dynamics of a discretized Nicholson's blowfly model with Dirichlet boundary condition. Discrete and Continuous Dynamical Systems - B. 28(8). 4457–4479. 1 indexed citations

Su, Ying, Bo Zheng, & Xingfu Zou. (2022). Wolbachia Dynamics in Mosquitoes with Incomplete CI and Imperfect Maternal Transmission by a DDE System. Bulletin of Mathematical Biology. 84(9). 95–95. 9 indexed citations

Cong, Yuanyuan, et al.. (2021). DYNAMICS OF A TWO-PATCH NICHOLSON'S BLOWFLIES MODEL WITH RANDOM DISPERSAL. Journal of Applied Analysis & Computation. 12(2). 692–711. 1 indexed citations

Su, Ying, et al.. (2020). On a stage-structured population model in discrete periodic habitat: III. unimodal growth and delay effect. Discrete and Continuous Dynamical Systems - B. 26(4). 1763–1781. 1 indexed citations

10.

Su, Ying, et al.. (2019). Accelerating propagation in a recursive system arising from seasonal population models with nonlocal dispersal. Journal of Differential Equations. 267(1). 150–179. 9 indexed citations

11.

Ruan, Shigui, et al.. (2015). Spatiotemporal Dynamics of a Diffusive Leslie–Gower Predator–Prey Model with Ratio-Dependent Functional Response. International Journal of Bifurcation and Chaos. 25(5). 1530014–1530014. 23 indexed citations

12.

Leow, Dasheng, Juan Shen, Ying Su, & GuangRong Peh. (2014). Organocatalytic Enantioselective Protonation of Enol Derivatives. Mini-Reviews in Organic Chemistry. 11(4). 410–423. 7 indexed citations

13.

Su, Ying & Xingfu Zou. (2013). Transient oscillatory patterns in the diffusive non-local blowfly equation with delay under the zero-flux boundary condition. Nonlinearity. 27(1). 87–104. 35 indexed citations

14.

Su, Ying, Shigui Ruan, & Junjie Wei. (2010). Periodicity and synchronization in blood-stage malaria infection. Journal of Mathematical Biology. 63(3). 557–574. 22 indexed citations

15.

Su, Ying, Junjie Wei, & Junping Shi. (2009). Hopf bifurcations in a reaction–diffusion population model with delay effect. Journal of Differential Equations. 247(4). 1156–1184. 154 indexed citations

16.

Su, Ying, et al.. (2009). HOPF BIFURCATION ANALYSIS OF DIFFUSIVE BASS MODEL WITH DELAY UNDER "NEGATIVE-WORD-OF-MOUTH". International Journal of Bifurcation and Chaos. 19(3). 1059–1067. 6 indexed citations

17.

Peng, Xuanjia, et al.. (2004). A novel approach to synthesis of tricyclic diterpenoid. Tetrahedron Letters. 45(16). 3283–3285. 3 indexed citations

18.

Ren, Xinfeng, Xuegong She, Kun Peng, et al.. (2004). First Enantioselective Synthesis of the Neolignans Rhaphidecursinol A and Virolongin B. Journal of the Chinese Chemical Society. 51(5A). 969–974. 11 indexed citations

19.

Su, Ying, Junying Ma, Xuanjia Peng, et al.. (2004). First Total Synthesis of Two Resveratrol Derivatives. Journal of Chemical Research. 2004(10). 704–705.

20.

Ren, Xinfeng, et al.. (2003). First Enantioselective Synthesis of Rhaphidecursinol A. Journal of Chemical Research. 2003(6). 358–359. 1 indexed citations

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.

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