Han‐Ying Liang

1.3k total citations
102 papers, 964 citations indexed

About

Han‐Ying Liang is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Han‐Ying Liang has authored 102 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Statistics and Probability, 36 papers in Management Science and Operations Research and 35 papers in Artificial Intelligence. Recurrent topics in Han‐Ying Liang's work include Statistical Methods and Inference (66 papers), Bayesian Methods and Mixture Models (35 papers) and Probability and Risk Models (33 papers). Han‐Ying Liang is often cited by papers focused on Statistical Methods and Inference (66 papers), Bayesian Methods and Mixture Models (35 papers) and Probability and Risk Models (33 papers). Han‐Ying Liang collaborates with scholars based in China, Spain and Canada. Han‐Ying Liang's co-authors include Bing‐Yi Jing, Guoliang Fan, Jacobo de Uña‐Álvarez, Chun Su, Yu Shen, Volker Mammitzsch, Tae Sung Kim, Jiangfeng Wang, Josef Steinebach and Deli Li and has published in prestigious journals such as Journal of Econometrics, Journal of environmental chemical engineering and Computational Statistics & Data Analysis.

In The Last Decade

Han‐Ying Liang

93 papers receiving 902 citations

Peers

Han‐Ying Liang
Han‐Ying Liang
Citations per year, relative to Han‐Ying Liang Han‐Ying Liang (= 1×) peers Tien-Chung Hu

Countries citing papers authored by Han‐Ying Liang

Since Specialization
Citations

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

Fields of papers citing papers by Han‐Ying Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Han‐Ying Liang. 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 Han‐Ying Liang. The network helps show where Han‐Ying Liang may publish in the future.

Co-authorship network of co-authors of Han‐Ying Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Han‐Ying Liang. A scholar is included among the top collaborators of Han‐Ying Liang 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 Han‐Ying Liang. Han‐Ying Liang 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.
Wang, Shiyu, et al.. (2025). Assessment of the ASM2d two-step nitrification model across different seasons: Parameter calibration, microbial analysis, and model validation. Journal of environmental chemical engineering. 13(5). 117521–117521.
2.
Liu, Changsheng, Han‐Ying Liang, & Yongmei Li. (2024). Bayesian quantile regression for partially linear single-index model with longitudinal data. Statistical Papers. 66(1).
3.
Liang, Han‐Ying, et al.. (2024). Quantile difference estimation with censoring indicators missing at random. Lifetime Data Analysis. 30(2). 345–382. 1 indexed citations
4.
Wang, Baohua & Han‐Ying Liang. (2023). Empirical likelihood in single-index quantile regression with high dimensional and missing observations. Journal of Statistical Planning and Inference. 226. 1–19. 1 indexed citations
5.
Fan, Guoliang, et al.. (2023). Quantile regression for varying-coefficient partially nonlinear models with randomly truncated data. Statistical Papers. 65(4). 2567–2604. 1 indexed citations
6.
Liang, Han‐Ying, et al.. (2023). Functional regression with dependent error and missing observation in reproducing kernel Hilbert spaces. Journal of the Korean Statistical Society. 52(3). 736–764.
7.
Liu, Changsheng & Han‐Ying Liang. (2022). Bayesian analysis in single-index quantile regression with missing observation. Communication in Statistics- Theory and Methods. 52(20). 7223–7251. 2 indexed citations
8.
Fan, Guoliang, Han‐Ying Liang, & Yu Shen. (2016). Penalized empirical likelihood for high-dimensional partially linear varying coefficient model with measurement errors. Journal of Multivariate Analysis. 147. 183–201. 28 indexed citations
9.
Liang, Han‐Ying, et al.. (2016). A weighted estimator of conditional hazard rate with left-truncated and dependent data. Annals of the Institute of Statistical Mathematics. 70(1). 155–189. 2 indexed citations
10.
Liang, Han‐Ying, et al.. (2014). Weak Convergence to Stochastic Integrals for Econometric Applications. SSRN Electronic Journal. 3 indexed citations
11.
Fan, Guoliang, Han‐Ying Liang, & Zhensheng Huang. (2011). Empirical likelihood for partially time-varying coefficient models with dependent observations. Journal of nonparametric statistics. 24(1). 71–84. 4 indexed citations
12.
Fan, Guoliang, Han‐Ying Liang, & Jiangfeng Wang. (2011). Empirical Likelihood for a Heteroscedastic Partial Linear Errors-in-Variables Model. Communication in Statistics- Theory and Methods. 41(1). 108–127.
13.
Liang, Han‐Ying & Yamei Liu. (2011). Asymptotic normality of variance estimator in a heteroscedastic model with dependent errors. Journal of nonparametric statistics. 23(2). 351–365. 4 indexed citations
14.
Liang, Han‐Ying. (2010). Empirical Likelihood for Conditional Density Under Left Truncation and α-Mixing Condition. Communication in Statistics- Theory and Methods. 39(4). 707–721. 3 indexed citations
15.
Liang, Han‐Ying & Guoliang Fan. (2008). Berry–Esseen type bounds of estimators in a semiparametric model with linear process errors. Journal of Multivariate Analysis. 100(1). 1–15. 32 indexed citations
16.
Liang, Han‐Ying & Yi Lu. (2007). Asymptotic normality of wavelet estimator in heteroscedastic regression model. Applied mathematics/Applied Mathematics. A Journal of Chinese Universities/Gao-xiao yingyong shuxue xuebao. 22(4). 453–459. 2 indexed citations
17.
Su, Chun, et al.. (2007). A wide class of heavy-tailed distributions and its applications. Frontiers of Mathematics in China. 2(2). 257–286. 4 indexed citations
18.
Liang, Han‐Ying. (2005). Influence of Instantaneous High Pressure Treatment on the Solubility of Dietary Fiber. Food Science. 6 indexed citations
19.
Liang, Han‐Ying, et al.. (2004). Wavelet estimation in nonparametric model under martingale difference errors. Applied mathematics/Applied Mathematics. A Journal of Chinese Universities/Gao-xiao yingyong shuxue xuebao. 19(3). 302–310. 13 indexed citations
20.
Liang, Han‐Ying & Bing‐Yi Jing. (2004). Asymptotic properties for estimates of nonparametric regression models based on negatively associated sequences. Journal of Multivariate Analysis. 95(2). 227–245. 99 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

Rankless by CCL
2026