Lan Wang

2.3k total citations
60 papers, 1.5k citations indexed

About

Lan Wang is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Lan Wang has authored 60 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Statistics and Probability, 8 papers in Management Science and Operations Research and 6 papers in Artificial Intelligence. Recurrent topics in Lan Wang's work include Statistical Methods and Inference (38 papers), Statistical Methods and Bayesian Inference (19 papers) and Advanced Statistical Methods and Models (14 papers). Lan Wang is often cited by papers focused on Statistical Methods and Inference (38 papers), Statistical Methods and Bayesian Inference (19 papers) and Advanced Statistical Methods and Models (14 papers). Lan Wang collaborates with scholars based in United States, China and Belgium. Lan Wang's co-authors include Runze Li, Huixia Wang, Ben Sherwood, Xuming He, Annie Qu, Hyokyoung G. Hong, Jianhui Zhou, Xiao‐Hua Zhou, Michael G. Akritas and Ingrid Van Keilegom and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of the American Statistical Association and Management Science.

In The Last Decade

Lan Wang

57 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lan Wang United States	19	1.0k	337	155	140	102	60	1.5k
Jianhua Z. Huang United States	18	607 0.6×	378 1.1×	247 1.6×	125 0.9×	76 0.7×	39	1.4k
Chenlei Leng Singapore	22	1.4k 1.4×	498 1.5×	194 1.3×	173 1.2×	179 1.8×	75	2.1k
Yanyuan Ma United States	23	1.4k 1.4×	397 1.2×	106 0.7×	153 1.1×	87 0.9×	137	1.9k
Heng Peng China	18	1.3k 1.3×	478 1.4×	201 1.3×	160 1.1×	132 1.3×	59	2.0k
Xiangrong Yin United States	16	795 0.8×	292 0.9×	122 0.8×	49 0.3×	169 1.7×	59	1.1k
Marten Wegkamp United States	16	613 0.6×	517 1.5×	82 0.5×	110 0.8×	137 1.3×	42	1.3k
Pascal Sarda France	15	1.2k 1.2×	489 1.5×	59 0.4×	112 0.8×	70 0.7×	27	1.7k
C. K. Chu Taiwan	15	372 0.4×	176 0.5×	102 0.7×	86 0.6×	37 0.4×	38	897
Cun-Hui Zhang United States	11	449 0.4×	194 0.6×	104 0.7×	35 0.3×	79 0.8×	16	825
C.-L. Tsai China	5	628 0.6×	150 0.4×	61 0.4×	73 0.5×	52 0.5×	6	780

Countries citing papers authored by Lan Wang

Since Specialization

Citations

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

Fields of papers citing papers by Lan Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lan Wang

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

Yang, Zhuoran, et al.. (2025). Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information. Management Science. 72(1). 646–666.

Zhou, Wen‐Xin, et al.. (2024). Private Optimal Inventory Policy Learning for Feature-Based Newsvendor with Unknown Demand. Management Science. 71(7). 6092–6111.

Wang, Lan, et al.. (2024). A nonparametric doubly robust test for a continuous treatment effect. The Annals of Statistics. 52(4). 1 indexed citations

Wang, Lan, Nan Li, Ming Xie, & Lifeng Wu. (2023). Two novel nonlinear multivariate grey models with kernel learning for small-sample time series prediction. Nonlinear Dynamics. 111(9). 8571–8590. 5 indexed citations

Wang, Lan, et al.. (2023). Identifying spatial heterogeneity of COVID-19 transmission clusters and their built-environment features at the neighbourhood scale. Health & Place. 84. 103130–103130. 8 indexed citations

Wang, Lan, et al.. (2022). Analysis of animal-related electric outages using species distribution models and community science data. 1(1). 11004–11004. 5 indexed citations

Chen, Chuansheng, et al.. (2022). Longitudinal relationship between number line estimation and other mathematical abilities in Chinese preschool children. Journal of Experimental Child Psychology. 228. 105619–105619. 2 indexed citations

Wang, Lan. (2019). $L_1$-regularized Quantile Regression with Many Regressors under Lean Assumptions. University of Minnesota Digital Conservancy (University of Minnesota). 2 indexed citations

Yang, Fan, et al.. (2017). The Simplified Tikhonov Regularization Method for Solving a Riesz–Feller Space-Fractional Backward Diffusion Problem. Mathematics in Computer Science. 11(1). 91–110. 13 indexed citations

10.

Wang, Lan, et al.. (2017). PGEE: An R Package for Analysis of Longitudinal Data with High-Dimensional Covariates. The R Journal. 9(1). 393–393. 12 indexed citations

11.

Shirakawa, Kotaro, Lan Wang, Na Man, et al.. (2016). Salicylate, diflunisal and their metabolites inhibit CBP/p300 and exhibit anticancer activity. eLife. 5. 55 indexed citations

12.

Wang, Lan, et al.. (2015). A High-Dimensional Nonparametric Multivariate Test for Mean Vector. Journal of the American Statistical Association. 110(512). 1658–1669. 84 indexed citations

13.

Wang, Lan, Ben Sherwood, & Runze Li. (2014). Comment. Journal of the American Statistical Association. 109(507). 1007–1010. 1 indexed citations

14.

Li, Xiaoxiao, Fan Yang, Jie Liu, & Lan Wang. (2013). The Quasireversibility Regularization Method for Identifying the Unknown Source for the Modified Helmholtz Equation. Journal of Applied Mathematics. 2013. 1–8. 8 indexed citations

15.

Wang, Lan, et al.. (2012). Three-Dimensional Histomorphometric Reconstructions Of Regional Variation of Lamina Cribrosa Insertion Into The Neural Canal In Normal Human Eyes. Investigative Ophthalmology & Visual Science. 53(14). 2814–2814. 1 indexed citations

16.

Kong, Linghua, Lan Wang, Shanshan Jiang, & Yali Duan. (2011). Symplectic Fourier pseudo-spectral schemes for Klein-Gordon-Schrödinger equation. Jisuan wuli. 1 indexed citations

17.

Wang, Lan. (2010). GEE analysis of clustered binary data with diverging number of covariates. The Annals of Statistics. 39(1). 63 indexed citations

18.

Wang, Lan & Xiao‐Hua Zhou. (2007). Assessing the Adequacy of Variance Function in Heteroscedastic Regression Models. Biometrics. 63(4). 1218–1225. 18 indexed citations

19.

Wang, Lan & Michael G. Akritas. (2006). TWO-WAY HETEROSCEDASTIC ANOVA WHEN THE NUMBER OF LEVELS IS LARGE. 16(4). 1387–1408. 15 indexed citations

20.

Fiedler, Tristan J., et al.. (1999). Crystallization and characterization of a fragment of pseudouridine synthase RluC fromEscherichia coli. Acta Crystallographica Section D Biological Crystallography. 55(1). 302–304. 8 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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