Xiucai Ding

412 total citations
22 papers, 175 citations indexed

About

Xiucai Ding is a scholar working on Statistics and Probability, Mathematical Physics and Artificial Intelligence. According to data from OpenAlex, Xiucai Ding has authored 22 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 6 papers in Mathematical Physics and 6 papers in Artificial Intelligence. Recurrent topics in Xiucai Ding's work include Random Matrices and Applications (17 papers), Bayesian Methods and Mixture Models (6 papers) and Advanced Combinatorial Mathematics (5 papers). Xiucai Ding is often cited by papers focused on Random Matrices and Applications (17 papers), Bayesian Methods and Mixture Models (6 papers) and Advanced Combinatorial Mathematics (5 papers). Xiucai Ding collaborates with scholars based in United States, Canada and Hong Kong. Xiucai Ding's co-authors include Fan Yang, Zhigang Bao, Ke Wang, Hau‐Tieng Wu, Jingming Wang, Zhou Zhou, Thomas Trogdon, Zhengwu Zhang, Dehan Kong and Rong Ma and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Information Theory and Biometrika.

In The Last Decade

Xiucai Ding

16 papers receiving 174 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiucai Ding United States	8	135	55	44	42	31	22	175
Zhigang Bao Hong Kong	12	258 1.9×	131 2.4×	102 2.3×	76 1.8×	32 1.0×	31	301
Konstantin Tikhomirov United States	8	76 0.6×	60 1.1×	27 0.6×	20 0.5×	33 1.1×	29	136
E. D. Gluskin Israel	7	54 0.4×	79 1.4×	13 0.3×	15 0.4×	166 5.4×	16	259
Ken Dykema United States	10	105 0.8×	301 5.5×	28 0.6×	35 0.8×	134 4.3×	35	398
Pedro Massey Argentina	11	36 0.3×	144 2.6×	15 0.3×	5 0.1×	284 9.2×	33	353
Julius Borcea Sweden	7	60 0.4×	54 1.0×	44 1.0×	23 0.5×	76 2.5×	21	206
Th. Schlumprecht United States	14	92 0.7×	263 4.8×	5 0.1×	10 0.2×	237 7.6×	29	355
Andriy Bondarenko Ukraine	8	8 0.1×	33 0.6×	28 0.6×	18 0.4×	59 1.9×	36	160
F. Barthe France	10	26 0.2×	40 0.7×	11 0.3×	11 0.3×	166 5.4×	12	224

Countries citing papers authored by Xiucai Ding

Since Specialization

Citations

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

Fields of papers citing papers by Xiucai Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiucai Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Xiucai Ding. A scholar is included among the top collaborators of Xiucai Ding 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 Xiucai Ding. Xiucai Ding 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

Ding, Xiucai & Zhou Zhou. (2025). On the partial autocorrelation function for locally stationary time series: characterization, estimation and inference. Biometrika. 112(2). 1 indexed citations

Ding, Xiucai, et al.. (2025). Tracy–Widom distribution for the edge eigenvalues of elliptical model. Information and Inference A Journal of the IMA. 14(2).

Ding, Xiucai, et al.. (2024). Two Sample Test for Covariance Matrices in Ultra-High Dimension. Journal of the American Statistical Association. 120(552). 2210–2221.

Ding, Xiucai, et al.. (2023). Local laws for multiplication of random matrices. The Annals of Applied Probability. 33(4).

Ding, Xiucai & Rong Ma. (2023). Learning low-dimensional nonlinear structures from high-dimensional noisy data: An integral operator approach. The Annals of Statistics. 51(4).

Ding, Xiucai, et al.. (2023). Spiked multiplicative random matrices and principal components. Stochastic Processes and their Applications. 163. 25–60.

Ding, Xiucai & Thomas Trogdon. (2023). A Riemann–Hilbert Approach to the Perturbation Theory for Orthogonal Polynomials: Applications to Numerical Linear Algebra and Random Matrix Theory. International Mathematics Research Notices. 2024(5). 3975–4061. 2 indexed citations

Ding, Xiucai & Hau‐Tieng Wu. (2022). Impact of Signal-to-Noise Ratio and Bandwidth on Graph Laplacian Spectrum From High-Dimensional Noisy Point Cloud. IEEE Transactions on Information Theory. 69(3). 1899–1931. 6 indexed citations

Bao, Zhigang, Xiucai Ding, Jingming Wang, & Ke Wang. (2022). Statistical inference for principal components of spiked covariance matrices. The Annals of Statistics. 50(2). 19 indexed citations

10.

Ding, Xiucai & Fan Yang. (2022). Tracy-Widom Distribution for Heterogeneous Gram Matrices With Applications in Signal Detection. IEEE Transactions on Information Theory. 68(10). 6682–6715. 9 indexed citations

11.

Ding, Xiucai & Fan Yang. (2022). Edge statistics of large dimensional deformed rectangular matrices. Journal of Multivariate Analysis. 192. 105051–105051. 5 indexed citations

12.

Bao, Zhigang, Xiucai Ding, & Ke Wang. (2021). Singular vector and singular subspace distribution for the matrix denoising model. The Annals of Statistics. 49(1). 28 indexed citations

13.

Ding, Xiucai & Thomas Trogdon. (2021). The conjugate gradient algorithm on a general class of spiked covariance matrices. Quarterly of Applied Mathematics. 80(1). 99–155. 3 indexed citations

14.

Ding, Xiucai & Fan Yang. (2021). Spiked separable covariance matrices and principal components. The Annals of Statistics. 49(2). 23 indexed citations

15.

Ding, Xiucai & Zhou Zhou. (2020). Estimation and inference for precision matrices of nonstationary time series. The Annals of Statistics. 48(4). 7 indexed citations

16.

Ding, Xiucai & Hau‐Tieng Wu. (2020). On the Spectral Property of Kernel-Based Sensor Fusion Algorithms of High Dimensional Data. IEEE Transactions on Information Theory. 67(1). 640–670. 5 indexed citations

17.

Ding, Xiucai. (2019). Spiked sample covariance matrices with possibly multiple bulk components. Random Matrices Theory and Application. 10(1). 2150014–2150014. 9 indexed citations

18.

Ding, Xiucai. (2019). High dimensional deformed rectangular matrices with applications in matrix denoising. Bernoulli. 26(1). 25 indexed citations

19.

Ding, Xiucai & Fan Yang. (2018). A necessary and sufficient condition for edge universality at the largest singular values of covariance matrices. The Annals of Applied Probability. 28(3). 29 indexed citations

20.

Ding, Xiucai. (2016). Singular vector distribution of covariance matrices. arXiv (Cornell University). 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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