Jinhong You

1.5k total citations
88 papers, 1.0k citations indexed

About

Jinhong You is a scholar working on Statistics and Probability, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Jinhong You has authored 88 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Statistics and Probability, 20 papers in Economics and Econometrics and 11 papers in Artificial Intelligence. Recurrent topics in Jinhong You's work include Statistical Methods and Inference (68 papers), Advanced Statistical Methods and Models (42 papers) and Statistical Methods and Bayesian Inference (41 papers). Jinhong You is often cited by papers focused on Statistical Methods and Inference (68 papers), Advanced Statistical Methods and Models (42 papers) and Statistical Methods and Bayesian Inference (41 papers). Jinhong You collaborates with scholars based in China, United States and Canada. Jinhong You's co-authors include Gemai Chen, Yong Zhou, Suhong Zhou, Xian Zhou, Lixiang Cao, Zhiqi Qiu, Haifeng Tan, Haibo Zhou, Lixue Cao and Yu‐Chih Lin and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Journal of Econometrics.

In The Last Decade

Jinhong You

78 papers receiving 991 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinhong You China 17 601 168 148 106 95 88 1.0k
B. N. Chakraborty India 20 245 0.4× 594 3.5× 22 0.1× 174 1.6× 25 0.3× 92 1.2k
Paola Zuccolotto Italy 18 111 0.2× 226 1.3× 268 1.8× 6 0.1× 63 0.7× 63 986
Jongwoo Song South Korea 10 33 0.1× 219 1.3× 11 0.1× 139 1.3× 6 0.1× 39 570
Sudhansu S. Maiti India 15 373 0.6× 144 0.9× 4 0.0× 19 0.2× 86 0.9× 65 647
G. K. Shukla India 11 122 0.2× 807 4.8× 73 0.5× 7 0.1× 118 1.2× 21 1.2k
Abdul Munif Indonesia 13 67 0.1× 279 1.7× 4 0.0× 69 0.7× 98 1.0× 131 682
María Pilar Frías Spain 9 19 0.0× 20 0.1× 41 0.3× 16 0.2× 104 1.1× 27 424
Zhiqiang Zhang China 14 272 0.5× 118 0.7× 23 0.2× 3 0.0× 171 1.8× 64 587
Wing–Kam Fung Hong Kong 13 358 0.6× 30 0.2× 26 0.2× 5 0.0× 50 0.5× 28 482
K. L. Mehra Canada 11 155 0.3× 226 1.3× 11 0.1× 3 0.0× 66 0.7× 61 509

Countries citing papers authored by Jinhong You

Since Specialization
Citations

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

Fields of papers citing papers by Jinhong You

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinhong You

This figure shows the co-authorship network connecting the top 25 collaborators of Jinhong You. A scholar is included among the top collaborators of Jinhong You 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 Jinhong You. Jinhong You 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.
You, Jinhong, et al.. (2024). Probing the self-adaptive grinding behaviours of high-speed rail grinding under the sliding-rolling composite motions. Tribology International. 205. 110473–110473. 3 indexed citations
2.
You, Jinhong, et al.. (2021). Estimation and Inference for Dynamic Single-Index Varying-Coefficient Models. Statistica Sinica.
3.
You, Jinhong, et al.. (2021). Unified statistical inference for a nonlinear dynamic functional/longitudinal data model. Journal of Statistical Planning and Inference. 219. 175–188. 1 indexed citations
4.
You, Jinhong, et al.. (2021). A Dynamic Interaction Semiparametric Function-on-Scalar Model. Journal of the American Statistical Association. 118(541). 360–373. 5 indexed citations
5.
Huang, Tao, et al.. (2021). Robust Inference for Nonstationary Time Series with Possibly Multiple Changing Periodic Structures. Journal of Business and Economic Statistics. 40(4). 1718–1731.
6.
You, Jinhong, et al.. (2021). Modelling and applications for non-stationary time series in the presence of trend and period. Scientia Sinica Mathematica. 52(2). 177–177.
7.
Leng, Chenlei, et al.. (2017). A Semiparametric Regression Model for Longitudinal Data with Non‐stationary Errors. Scandinavian Journal of Statistics. 44(4). 932–950. 1 indexed citations
8.
Huang, Tao, et al.. (2017). Nonparametric fixed effects model for panel data with locally stationary regressors. Journal of Econometrics. 202(2). 286–305. 17 indexed citations
9.
Hu, Jianhua, Jinhong You, & Xian Zhou. (2016). Improved estimation of fixed effects panel data partially linear models with heteroscedastic errors. Journal of Multivariate Analysis. 154. 96–111. 3 indexed citations
10.
Zhu, Li, et al.. (2014). Statistical Inference for Single‐index Panel Data Models. Scandinavian Journal of Statistics. 41(3). 830–843. 6 indexed citations
11.
You, Jinhong, Xian Zhou, & Yong Zhou. (2010). Statistical inference for panel data semiparametric partially linear regression models with heteroscedastic errors. Journal of Multivariate Analysis. 101(5). 1079–1101. 21 indexed citations
12.
You, Jinhong, et al.. (2007). Covariate Selection for Linear Errors-in-Variables Regression Models. Communication in Statistics- Theory and Methods. 36(2). 375–386. 11 indexed citations
13.
You, Jinhong, Gemai Chen, & Yong Zhou. (2007). Statistical inference of partially linear regression models with heteroscedastic errors. Journal of Multivariate Analysis. 98(8). 1539–1557. 32 indexed citations
14.
Xu, Qinfeng, Jinhong You, & Bin Zhou. (2007). Seemingly unrelated nonparametric models with positive correlation and constrained error variances. Economics Letters. 99(2). 223–227. 5 indexed citations
15.
You, Jinhong & Gemai Chen. (2007). On inference for a semiparametric partially linear regression model with serially correlated errors. Canadian Journal of Statistics. 35(4). 515–531. 3 indexed citations
16.
You, Jinhong & Xian Zhou. (2005). Bootstrap of a semiparametric partially linear model with autoregressive errors. Statistica Sinica. 15(1). 117–133. 3 indexed citations
17.
You, Jinhong, Gemai Chen, & Xian Zhou. (2005). β -Spline Estimation in a Semiparametric Regression Model with Nonlinear Time Series Errors. American Journal of Applied Sciences. 2(9). 1343–1349. 3 indexed citations
18.
You, Jinhong & Xian Zhou. (2005). Statistical inference in a panel data semiparametric regression model with serially correlated errors. Journal of Multivariate Analysis. 97(4). 844–873. 6 indexed citations
19.
You, Jinhong & Gemai Chen. (2003). Delete-group Jackknife Estimate in Partially Linear Regression Models with Heteroscedasticity. Acta Mathematicae Applicatae Sinica English Series. 19(4). 599–610. 1 indexed citations
20.
Sun, Xiaoqian, Jinhong You, Gemai Chen, & Xian Zhou. (2002). CONVERGENCE RATES OF ESTIMATORS IN PARTIAL LINEAR REGRESSION MODELS WITH MA(∞) ERROR PROCESS. Communication in Statistics- Theory and Methods. 31(12). 2251–2273. 16 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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