Yu‐Qiu Zhao

495 total citations
50 papers, 291 citations indexed

About

Yu‐Qiu Zhao is a scholar working on Applied Mathematics, Statistical and Nonlinear Physics and Computational Theory and Mathematics. According to data from OpenAlex, Yu‐Qiu Zhao has authored 50 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Applied Mathematics, 13 papers in Statistical and Nonlinear Physics and 12 papers in Computational Theory and Mathematics. Recurrent topics in Yu‐Qiu Zhao's work include Mathematical functions and polynomials (34 papers), Fractional Differential Equations Solutions (12 papers) and Nonlinear Waves and Solitons (10 papers). Yu‐Qiu Zhao is often cited by papers focused on Mathematical functions and polynomials (34 papers), Fractional Differential Equations Solutions (12 papers) and Nonlinear Waves and Solitons (10 papers). Yu‐Qiu Zhao collaborates with scholars based in China, Hong Kong and United States. Yu‐Qiu Zhao's co-authors include R. Wong, Dan Dai, Yutian Li, Hongyong Wang, K.K. Mei, Yongzhi Xu, Yuxin Song, Xingxiang Ji, Chen Ma and Jia Du and has published in prestigious journals such as Small, Communications in Mathematical Physics and Journal of Mathematical Analysis and Applications.

In The Last Decade

Yu‐Qiu Zhao

44 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu‐Qiu Zhao China 11 200 75 72 71 58 50 291
M. Vanlessen Belgium 6 254 1.3× 84 1.1× 171 2.4× 47 0.7× 146 2.5× 7 397
Kerstin Jordaan South Africa 10 265 1.3× 68 0.9× 21 0.3× 78 1.1× 25 0.4× 36 301
Clemens Markett Germany 12 366 1.8× 80 1.1× 24 0.3× 85 1.2× 128 2.2× 42 473
J. Bustoz United States 9 335 1.7× 45 0.6× 49 0.7× 46 0.6× 71 1.2× 28 430
John McCabe United Kingdom 10 193 1.0× 37 0.5× 23 0.3× 48 0.7× 31 0.5× 39 334
Leonid Golinskiĭ Ukraine 11 277 1.4× 49 0.7× 25 0.3× 44 0.6× 215 3.7× 48 395
A. Sri Ranga Brazil 13 420 2.1× 97 1.3× 16 0.2× 99 1.4× 51 0.9× 66 450
Kathy Driver South Africa 11 239 1.2× 49 0.7× 11 0.2× 47 0.7× 23 0.4× 32 293
Ahmed Fitouhi Tunisia 11 346 1.7× 40 0.5× 23 0.3× 19 0.3× 87 1.5× 42 369
Daniel S. Moak United States 7 210 1.1× 60 0.8× 19 0.3× 40 0.6× 30 0.5× 16 279

Countries citing papers authored by Yu‐Qiu Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Qiu Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Qiu Zhao. 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 Yu‐Qiu Zhao. The network helps show where Yu‐Qiu Zhao may publish in the future.

Co-authorship network of co-authors of Yu‐Qiu Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Qiu Zhao. A scholar is included among the top collaborators of Yu‐Qiu Zhao 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 Yu‐Qiu Zhao. Yu‐Qiu Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Du, Jia, et al.. (2025). Asymptotics of Fredholm determinant solutions of the noncommutative Painlevé II equation. Analysis and Applications. 24(2). 487–536.
2.
Zhao, Yu‐Qiu, et al.. (2025). Generative recommender systems: A comprehensive survey on model, framework, and application. Information Fusion. 127. 103919–103919.
3.
Zhao, Yu‐Qiu, et al.. (2024). On the Fredholm determinant of the confluent hypergeometric kernel with discontinuities. Physica D Nonlinear Phenomena. 461. 134101–134101. 1 indexed citations
4.
Zhao, Yu‐Qiu, et al.. (2023). Clarkson-McLeod solutions of the fourth Painlevé equation and the parabolic cylinder-kernel determinant. Journal of Differential Equations. 352. 249–307. 1 indexed citations
5.
Zhao, Yu‐Qiu, et al.. (2023). Asymptotics of the determinant of the modified Bessel functions and the second Painlevé equation. Random Matrices Theory and Application. 13(1).
6.
Zhao, Yu‐Qiu, et al.. (2016). Proof of a conjecture of Granath on optimal bounds of the Landau constants. Journal of Approximation Theory. 204. 17–33. 1 indexed citations
7.
Zhao, Yu‐Qiu, et al.. (2016). Plancherel–Rotach type asymptotics of the sieved Pollaczek polynomials via the Riemann–Hilbert approach. Journal of Approximation Theory. 208. 21–58.
8.
Wong, R. & Yu‐Qiu Zhao. (2016). Special functions, integral equations and a Riemann-Hilbert problem. Proceedings of the American Mathematical Society. 144(10). 4367–4380. 3 indexed citations
9.
Zhao, Yu‐Qiu, et al.. (2015). Painlevé III Asymptotics of Hankel Determinants for a Perturbed Jacobi Weight. Studies in Applied Mathematics. 135(4). 347–376. 8 indexed citations
10.
Zhao, Yu‐Qiu, et al.. (2015). Uniform asymptotics for discrete orthogonal polynomials on infinite nodes with an accumulation point. Analysis and Applications. 14(5). 705–737. 3 indexed citations
11.
Zhao, Yu‐Qiu, et al.. (2013). Critical edge behavior in the modified Jacobi ensemble and the Painlevé V transcendents. Journal of Mathematical Physics. 54(8). 5 indexed citations
12.
Zhao, Yu‐Qiu, et al.. (2013). Asymptotics of the partition function of a Laguerre-type random matrix model. Journal of Approximation Theory. 178. 64–90. 4 indexed citations
13.
Zhao, Yu‐Qiu, et al.. (2011). Painlevé XXXIV Asymptotics of Orthogonal Polynomials for the Gaussian Weight with a Jump at the Edge. Studies in Applied Mathematics. 127(1). 67–105. 18 indexed citations
14.
Zhao, Yu‐Qiu, et al.. (2011). Universality for eigenvalue correlations from the unitary ensemble associated with a family of singular weights. Journal of Mathematical Physics. 52(9). 7 indexed citations
15.
Wang, Hongyong & Yu‐Qiu Zhao. (2010). Uniform asymptotics and zeros of a system of orthogonal polynomials defined via a difference equation. Journal of Mathematical Analysis and Applications. 369(2). 453–472. 3 indexed citations
16.
Zhao, Yu‐Qiu, et al.. (2007). A uniform asymptotic expansion for Jacobi polynomials via uniform treatment of Darboux's method. Journal of Approximation Theory. 148(1). 1–11. 11 indexed citations
17.
Zhao, Yu‐Qiu, et al.. (2005). Uniform asymptotic expansions of the Pollaczek polynomials. Journal of Computational and Applied Mathematics. 190(1-2). 37–56. 6 indexed citations
18.
Wong, R. & Yu‐Qiu Zhao. (2003). ESTIMATES FOR THE ERROR TERM IN A UNIFORM ASYMPTOTIC EXPANSION OF THE JACOBI POLYNOMIALS. Analysis and Applications. 1(2). 213–241. 10 indexed citations
19.
Zhao, Yu‐Qiu. (2002). A uniform asymptotic expansion of the single variable Bell polynomials. Journal of Computational and Applied Mathematics. 150(2). 329–355. 10 indexed citations
20.
Wong, R. & Yu‐Qiu Zhao. (2002). Gevrey asymptotics and Stieltjes transforms of algebraically decaying functions. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 458(2019). 625–644. 12 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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