Binyan Jiang

1.2k total citations
53 papers, 735 citations indexed

About

Binyan Jiang is a scholar working on Statistics and Probability, Industrial and Manufacturing Engineering and Control and Systems Engineering. According to data from OpenAlex, Binyan Jiang has authored 53 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 9 papers in Industrial and Manufacturing Engineering and 7 papers in Control and Systems Engineering. Recurrent topics in Binyan Jiang's work include Statistical Methods and Inference (15 papers), Advanced Statistical Methods and Models (7 papers) and Statistical Methods and Bayesian Inference (6 papers). Binyan Jiang is often cited by papers focused on Statistical Methods and Inference (15 papers), Advanced Statistical Methods and Models (7 papers) and Statistical Methods and Bayesian Inference (6 papers). Binyan Jiang collaborates with scholars based in Hong Kong, United States and China. Binyan Jiang's co-authors include Chien-Chih Wang, Chenlei Leng, Jialiang Li, Jason P. Fine, Cheng Wang, Ting Yan, Leher Singh, Yap Seng Chong, Anne Rifkin‐Graboi and Chih‐Hung Jen and has published in prestigious journals such as Journal of the American Statistical Association, Child Development and Biometrika.

In The Last Decade

Binyan Jiang

49 papers receiving 703 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Binyan Jiang Hong Kong	15	186	111	99	71	70	53	735
Yaping Wang China	18	44 0.2×	58 0.5×	19 0.2×	37 0.5×	68 1.0×	86	1.1k
Guillermo Cabrera‐Guerrero Chile	16	92 0.5×	150 1.4×	14 0.1×	115 1.6×	72 1.0×	53	939
César García‐Osorio Spain	22	46 0.2×	208 1.9×	29 0.3×	22 0.3×	867 12.4×	56	1.3k
Joaquim Madeira Portugal	13	49 0.3×	300 2.7×	6 0.1×	32 0.5×	33 0.5×	36	767
José-Francisco Díez-Pastor Spain	17	34 0.2×	114 1.0×	13 0.1×	34 0.5×	509 7.3×	43	913
M. M. Kamruzzaman Saudi Arabia	22	28 0.2×	191 1.7×	15 0.2×	66 0.9×	276 3.9×	87	1.6k
Kai Virtanen Finland	18	43 0.2×	115 1.0×	11 0.1×	7 0.1×	194 2.8×	76	1.1k
Anirudh Goyal Canada	7	17 0.1×	213 1.9×	23 0.2×	11 0.2×	518 7.4×	38	901
Mohamed A. Ahmed Iraq	16	18 0.1×	165 1.5×	25 0.3×	121 1.7×	211 3.0×	32	1.4k
Paul H. Kvam United States	20	30 0.2×	18 0.2×	732 7.4×	32 0.5×	116 1.7×	70	1.6k

Countries citing papers authored by Binyan Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Binyan Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binyan Jiang

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

Deng, Yi, et al.. (2025). Development of a Bicycle-like Magnetic-Wheeled Climbing Robot with Adaptive Plane-Transition Capabilities. Machines. 13(2). 167–167. 1 indexed citations

Wang, Cheng, et al.. (2024). Sr-LDA:Sparse and Reduced-Rank Linear Discriminant Analysis for High Dimensional Matrix. IEEE Signal Processing Letters. 31. 1134–1138.

Jiang, Binyan, Jing Lv, Jialiang Li, & Ming−Yen Cheng. (2024). Robust model averaging prediction of longitudinal response with ultrahigh-dimensional covariates. Journal of the Royal Statistical Society Series B (Statistical Methodology). 87(2). 337–361. 1 indexed citations

Chen, Jianan, Binyan Jiang, & Jialiang Li. (2023). Nonparametric instrument model averaging. Journal of nonparametric statistics. 35(4). 905–926. 1 indexed citations

Jiang, Binyan, Cheng Liu, & Cheng Yong Tang. (2023). Dynamic Covariance Matrix Estimation and Portfolio Analysis with High-Frequency Data. Journal of Financial Econometrics. 22(2). 461–491. 1 indexed citations

Wang, Cheng, et al.. (2023). HiQR: An efficient algorithm for high-dimensional quadratic regression with penalties. Computational Statistics & Data Analysis. 192. 107904–107904.

Fang, Hongyan, Yuanyuan Chen, Ling Chen, Wenzhi Yang, & Binyan Jiang. (2022). Standardized Dempster's non‐exact test for high‐dimensional mean vectors. Stat. 11(1). 1 indexed citations

Wang, Lichun, Qingquan Lv, Xiaofei Zhang, et al.. (2020). The utility of MEWS for predicting the mortality in the elderly adults with COVID-19: a retrospective cohort study with comparison to other predictive clinical scores. PeerJ. 8. e10018–e10018. 46 indexed citations

Xu, Qingsong, et al.. (2020). High‐dimensional variable screening under multicollinearity. Stat. 9(1). 11 indexed citations

10.

Jiang, Binyan, Xiangyu Wang, & Chenlei Leng. (2018). A direct approach for sparse quadratic discriminant analysis. Journal of Machine Learning Research. 19(31). 1–37. 23 indexed citations

11.

Jiang, Binyan, Rui Song, Jialiang Li, & Donglin Zeng. (2018). Entropy Learning for Dynamic Treatment Regimes. Statistica Sinica. 29(4). 1633–1655. 8 indexed citations

12.

Jiang, Binyan, et al.. (2015). Low-dimensional confounder adjustment and high-dimensional penalized estimation for survival analysis. Lifetime Data Analysis. 22(4). 547–569. 15 indexed citations

13.

Singh, Leher, Charlene S. L. Fu, Pratibha Agarwal, et al.. (2014). Back to Basics: A Bilingual Advantage in Infant Visual Habituation. Child Development. 86(1). 294–302. 84 indexed citations

14.

Li, Jialiang, Binyan Jiang, & Jason P. Fine. (2012). Multicategory reclassification statistics for assessing improvements in diagnostic accuracy. Biostatistics. 14(2). 382–394. 27 indexed citations

15.

Jiang, Binyan, et al.. (2012). Identifying Outbound Tourism Visitors by Using E-Services Behavioral and Psychological Markers. 31. 295–299. 1 indexed citations

16.

Jiang, Binyan, et al.. (2012). On the sparsity of signals in a random sample. Biometrika. 99(4). 915–928. 3 indexed citations

17.

Jiang, Binyan, et al.. (2005). Liquid crystal display surface uniformity defect inspection using analysis of variance and exponentially weighted moving average techniques. International Journal of Production Research. 43(1). 67–80. 72 indexed citations

18.

Jiang, Binyan, et al.. (1999). Fuzzy neural network modeling for product development. Mathematical and Computer Modelling. 29(9). 71–81. 13 indexed citations

19.

Batty, M, Binyan Jiang, & Mark Thurstain‐Goodwin. (1998). Local movement: agent-based models of pedestrian flows. UCL Discovery (University College London). 22 indexed citations

20.

Jiang, Binyan, et al.. (1991). Design, Analysis, and Control of Manufacturing Cells : presented at the Winter Annual Meeting of the American Society of Mechanical Engineers, Atlanta, Georgia, December 1-6, 1991. 3 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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