Weixin Yao

2.4k total citations
108 papers, 1.5k citations indexed

About

Weixin Yao is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Weixin Yao has authored 108 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Statistics and Probability, 60 papers in Artificial Intelligence and 11 papers in Statistics, Probability and Uncertainty. Recurrent topics in Weixin Yao's work include Bayesian Methods and Mixture Models (52 papers), Statistical Methods and Inference (47 papers) and Advanced Statistical Methods and Models (34 papers). Weixin Yao is often cited by papers focused on Bayesian Methods and Mixture Models (52 papers), Statistical Methods and Inference (47 papers) and Advanced Statistical Methods and Models (34 papers). Weixin Yao collaborates with scholars based in United States, China and Canada. Weixin Yao's co-authors include Chun Yu, Longhai Li, Bruce G. Lindsay, Runze Li, Nanpeng Yu, Mian Huang, Weixing Song, Jie Shi, John E. Boyer and Rui Yang and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Applied Physics and Scientific Reports.

In The Last Decade

Weixin Yao

101 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weixin Yao United States	19	844	705	170	145	140	108	1.5k
Luis Ángel García-Escudero Spain	22	499 0.6×	606 0.9×	93 0.5×	182 1.3×	127 0.9×	76	1.4k
Marco Zaffalon Switzerland	24	257 0.3×	1.2k 1.6×	66 0.4×	82 0.6×	93 0.7×	120	1.8k
Marco Riani Italy	21	952 1.1×	325 0.5×	40 0.2×	68 0.5×	488 3.5×	88	1.7k
Gary C. McDonald United States	13	908 1.1×	163 0.2×	62 0.4×	148 1.0×	414 3.0×	68	1.7k
Hendrik P. Lopuhaä Netherlands	16	761 0.9×	185 0.3×	57 0.3×	69 0.5×	400 2.9×	36	1.3k
Changha Hwang South Korea	16	269 0.3×	249 0.4×	69 0.4×	125 0.9×	24 0.2×	79	889
Ting Jin China	18	151 0.2×	307 0.4×	121 0.7×	161 1.1×	37 0.3×	40	895
Zdravko I. Botev Australia	13	200 0.2×	187 0.3×	105 0.6×	59 0.4×	157 1.1×	42	981
Jianhua Z. Huang United States	15	382 0.5×	230 0.3×	101 0.6×	64 0.4×	35 0.3×	55	1.3k
Efstathios Paparoditis Cyprus	22	619 0.7×	194 0.3×	135 0.8×	113 0.8×	75 0.5×	71	1.4k

Countries citing papers authored by Weixin Yao

Since Specialization

Citations

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

Fields of papers citing papers by Weixin Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weixin Yao

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

Yao, Weixin, et al.. (2025). Online Kernel-Based Mode Learning. Journal of Computational and Graphical Statistics. 34(4). 1498–1512.

Yao, Weixin, et al.. (2024). Semiparametric efficient estimation in high‐dimensional partial linear regression models. Scandinavian Journal of Statistics. 51(3). 1259–1287. 1 indexed citations

Yao, Weixin, et al.. (2024). Study on the Selection of Recycling Strategies for the Echelon Utilization of Electric Vehicle Batteries under the Carbon Trading Policy. Sustainability. 16(17). 7737–7737.

Wang, Cheng‐Xiang, et al.. (2024). A public-key quantum group blind signature scheme based on single-qubit rotations. Laser Physics Letters. 21(3). 35204–35204. 3 indexed citations

Kai, Bo, Mian Huang, Weixin Yao, & Yuexiao Dong. (2023). Nonparametric and Semiparametric Quantile Regression via a New MM Algorithm. Journal of Computational and Graphical Statistics. 32(4). 1613–1623. 2 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

Yao, Weixin, et al.. (2020). Semiparametric mixtures of regressions with single-index for model based clustering. Advances in Data Analysis and Classification. 14(2). 261–292. 7 indexed citations

Jiang, Lai, Celia M.T. Greenwood, Weixin Yao, & Longhai Li. (2020). Bayesian Hyper-LASSO Classification for Feature Selection with Application to Endometrial Cancer RNA-seq Data. Scientific Reports. 10(1). 9747–9747. 14 indexed citations

Xu, Lin, et al.. (2019). Robust maximum Lq-likelihood estimation of joint mean–covariance models for longitudinal data. Journal of Multivariate Analysis. 171. 397–411. 3 indexed citations

10.

Shi, Jie, Nanpeng Yu, & Weixin Yao. (2017). Energy Efficient Building HVAC Control Algorithm with Real-time Occupancy Prediction. Energy Procedia. 111. 267–276. 68 indexed citations

11.

Yu, Chun & Weixin Yao. (2016). Robust linear regression: A review and comparison. Communications in Statistics - Simulation and Computation. 46(8). 6261–6282. 164 indexed citations

12.

Chen, Yixin, Qin Wang, & Weixin Yao. (2015). Adaptive estimation for varying coefficient models. Journal of Multivariate Analysis. 137. 17–31. 11 indexed citations

13.

Ma, Yanyuan & Weixin Yao. (2015). Flexible estimation of a semiparametric two-component mixture model with one parametric component. Electronic Journal of Statistics. 9(1). 7 indexed citations

14.

Kürüm, Esra, Runze Li, Saul Shiffman, & Weixin Yao. (2015). Time-varying coefficient models for joint modeling binary and continuous outcomes in longitudinal data. Statistica Sinica. 26(3). 979–1000. 12 indexed citations

15.

Yao, Weixin. (2013). Label switching and its solutions for frequentist mixture models. Journal of Statistical Computation and Simulation. 85(5). 1000–1012. 28 indexed citations

16.

Huang, Mian & Weixin Yao. (2012). Mixture of Regression Models With Varying Mixing Proportions: A Semiparametric Approach. Journal of the American Statistical Association. 107(498). 711–724. 48 indexed citations

17.

Yao, Weixin. (2011). Bayesian Mixture Labeling and Clustering. Communication in Statistics- Theory and Methods. 41(3). 403–421. 12 indexed citations

18.

Yao, Weixin. (2004). Comparison of Different Take-Back Models in Reverse Logistics. 7 indexed citations

19.

Yao, Weixin. (2004). OUTLIER MANAGEMENT OF INTELLIGENT DATA ANALYSIS. Keji daobao. 1 indexed citations

20.

Yao, Weixin. (2003). To Study Atomic Models for Closed-Loop Supply Chain in E-Commerce. 2 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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