Riquan Zhang

1.4k total citations
136 papers, 950 citations indexed

About

Riquan Zhang is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, Riquan Zhang has authored 136 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Statistics and Probability, 39 papers in Artificial Intelligence and 19 papers in Finance. Recurrent topics in Riquan Zhang's work include Statistical Methods and Inference (102 papers), Advanced Statistical Methods and Models (50 papers) and Statistical Methods and Bayesian Inference (37 papers). Riquan Zhang is often cited by papers focused on Statistical Methods and Inference (102 papers), Advanced Statistical Methods and Models (50 papers) and Statistical Methods and Bayesian Inference (37 papers). Riquan Zhang collaborates with scholars based in China, Hong Kong and United States. Riquan Zhang's co-authors include Jicai Liu, Weihua Zhao, Zhensheng Huang, Heung Wong, Wai-Cheung Ip, Yanghui Liu, Yehua Li, Weicheng Zhu, Steven N. Blair and Carl J. Lavie and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hydrology.

In The Last Decade

Riquan Zhang

120 papers receiving 919 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Riquan Zhang China	15	632	183	114	84	61	136	950
Chin‐Tsang Chiang Taiwan	12	706 1.1×	189 1.0×	99 0.9×	52 0.6×	32 0.5×	32	999
Limin Peng United States	15	659 1.0×	141 0.8×	65 0.6×	33 0.4×	25 0.4×	59	857
Kang Ling James Brazil	6	281 0.4×	114 0.6×	43 0.4×	16 0.2×	16 0.3×	11	492
Eufrásio de Andrade Lima Neto Brazil	8	213 0.3×	202 1.1×	73 0.6×	58 0.7×	7 0.1×	19	490
Matías Salibián‐Barrera Canada	17	513 0.8×	94 0.5×	36 0.3×	53 0.6×	14 0.2×	36	810
Ali Gannoun France	13	312 0.5×	98 0.5×	36 0.3×	42 0.5×	6 0.1×	44	454
Connor J. Dalzell Canada	4	290 0.5×	125 0.7×	42 0.4×	68 0.8×	20 0.3×	5	629
Linglong Kong Canada	16	208 0.3×	118 0.6×	24 0.2×	35 0.4×	29 0.5×	68	623
Nhu D. Le Canada	11	153 0.2×	116 0.6×	33 0.3×	15 0.2×	11 0.2×	15	522

Countries citing papers authored by Riquan Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Riquan Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riquan Zhang

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

Shang, Jiaxing, Xiaoquan Li, Linjiang Zheng, et al.. (2025). A Dual Two-Stage Attention-based Model for interpretable hard landing prediction from flight data. Engineering Applications of Artificial Intelligence. 154. 110911–110911.

Liu, Jicai, et al.. (2025). Robust high-dimensional trace regression with regularized correntropy-induced loss. Journal of Computational and Applied Mathematics. 475. 117032–117032.

Cai, Tingting, et al.. (2023). Subgroup detection based on partially linear additive individualized model with missing data in response. Computational Statistics & Data Analysis. 192. 107910–107910.

Sun, G. X., et al.. (2023). Statistical inference and distributed implementation for linear multicategory SVM. Stat. 12(1). 1 indexed citations

Zhang, Riquan, et al.. (2023). Spatial-Temporal Distribution and Coupling Relationship of High-Speed Railway and Economic Networks in Metropolitan Areas of China. Land. 12(6). 1193–1193. 5 indexed citations

Li, Pengfei, et al.. (2022). Semiparametric empirical likelihood inference for abundance from one‐inflated capture–recapture data. Biometrical Journal. 64(6). 1040–1055. 1 indexed citations

Zhang, Riquan, et al.. (2022). Estimation of spatial-functional based-line logit model for multivariate longitudinal data. Computational Statistics. 38(1). 79–99. 1 indexed citations

Zhu, Hanbing, et al.. (2021). Extreme quantile estimation for partial functional linear regression models with heavy‐tailed distributions. Canadian Journal of Statistics. 50(1). 267–286. 6 indexed citations

Gao, Yuan, et al.. (2021). A review of distributed statistical inference. SHILAP Revista de lepidopterología. 6(2). 89–99. 22 indexed citations

10.

Zhang, Li, Xin Shi, Chang Gu, et al.. (2020). Identification of cell-to-cell interactions by ligand-receptor pairs in human fetal heart. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1866(12). 165917–165917. 16 indexed citations

11.

Liu, Yang, et al.. (2018). Comparison of empirical likelihood and its dual likelihood under density ratio model. Journal of nonparametric statistics. 30(3). 581–597. 5 indexed citations

12.

Zhao, Weihua, et al.. (2016). Quantile regression and variable selection of single-index coefficient model. Annals of the Institute of Statistical Mathematics. 69(4). 761–789. 4 indexed citations

13.

Zhang, Riquan, et al.. (2014). Quantile regression and variable selection of partial linear single-index model. Annals of the Institute of Statistical Mathematics. 67(2). 375–409. 28 indexed citations

14.

Huang, Zhensheng, et al.. (2011). Estimation on Varying-Coefficient Partially Linear Model With Different Smoothing Variables. Communication in Statistics- Theory and Methods. 41(3). 516–529. 1 indexed citations

15.

Zhao, Weihua, et al.. (2011). Partially linear single-index beta regression model and score test. Journal of Multivariate Analysis. 103(1). 116–123. 1 indexed citations

16.

Li, Jianbo & Riquan Zhang. (2010). Partially varying coefficient single index proportional hazards regression models. Computational Statistics & Data Analysis. 55(1). 389–400. 9 indexed citations

17.

Zhang, Riquan, et al.. (2009). Smoothing spline estimation of generalised varying-coefficient mixed model. Journal of nonparametric statistics. 21(7). 815–825. 4 indexed citations

18.

Zhang, Riquan, et al.. (2009). 0-1 Distributed Bayesian Test and Application in the Medical Examination. Application of Statistics and Management. 1 indexed citations

19.

Zhang, Riquan, et al.. (2009). Statistical inference for the index parameter in single-index models. Journal of Multivariate Analysis. 101(4). 1026–1041. 13 indexed citations

20.

Wong, Heung, et al.. (2007). Functional-coefficient partially linear regression model. Journal of Multivariate Analysis. 99(2). 278–305. 10 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.

Explore authors with similar magnitude of impact