Guanglei Hong

1.9k total citations
29 papers, 1.2k citations indexed

About

Guanglei Hong is a scholar working on Education, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Guanglei Hong has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Education, 16 papers in Statistics and Probability and 4 papers in Economics and Econometrics. Recurrent topics in Guanglei Hong's work include Advanced Causal Inference Techniques (15 papers), School Choice and Performance (13 papers) and Early Childhood Education and Development (10 papers). Guanglei Hong is often cited by papers focused on Advanced Causal Inference Techniques (15 papers), School Choice and Performance (13 papers) and Early Childhood Education and Development (10 papers). Guanglei Hong collaborates with scholars based in United States, Canada and Thailand. Guanglei Hong's co-authors include Stephen W. Raudenbush, Bing Yu, Tyler J. VanderWeele, Stephanie M. Jones, Joshua L. Brown, Heather D. Hill, Yun Wang, Xi Chen, Fen Xu and Takako Nomi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Biometrics.

In The Last Decade

Guanglei Hong

27 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guanglei Hong United States 16 611 539 157 121 117 29 1.2k
Alison Black United States 9 869 1.4× 285 0.5× 109 0.7× 50 0.4× 346 3.0× 14 1.3k
Jessaca Spybrook United States 18 763 1.2× 415 0.8× 101 0.6× 47 0.4× 292 2.5× 60 1.4k
Peter Z. Schochet United States 17 771 1.3× 398 0.7× 168 1.1× 186 1.5× 160 1.4× 62 1.6k
Pei Zhu United States 13 971 1.6× 192 0.4× 164 1.0× 82 0.7× 302 2.6× 30 1.3k
Margaret Wu Australia 13 600 1.0× 128 0.2× 135 0.9× 38 0.3× 171 1.5× 29 1.1k
Lashawn Richburg-Hayes United States 14 394 0.6× 112 0.2× 125 0.8× 65 0.5× 61 0.5× 37 727
Lindsay C. Page United States 21 1.3k 2.2× 104 0.2× 250 1.6× 202 1.7× 60 0.5× 91 1.7k
Gregory J. Palardy United States 18 1.3k 2.1× 94 0.2× 508 3.2× 42 0.3× 104 0.9× 31 1.8k
Artur Pokropek Poland 17 288 0.5× 62 0.1× 197 1.3× 33 0.3× 63 0.5× 58 860
Courtney Bell United States 15 1.2k 2.0× 58 0.1× 276 1.8× 28 0.2× 129 1.1× 37 1.5k

Countries citing papers authored by Guanglei Hong

Since Specialization
Citations

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

Fields of papers citing papers by Guanglei Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanglei Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Guanglei Hong. A scholar is included among the top collaborators of Guanglei Hong 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 Guanglei Hong. Guanglei Hong 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.
Hong, Guanglei, et al.. (2024). Cooperative Learning in Introductory Statistics: Assessing Students’ Perceptions, Performance, and Learning in Heterogeneous and Homogeneous Groups. SHILAP Revista de lepidopterología. 32(4). 444–456. 3 indexed citations
2.
3.
Hong, Guanglei, et al.. (2020). Did you Conduct a Sensitivity Analysis? A New Weighting-Based Approach for Evaluations of the Average Treatment Effect for the Treated. Journal of the Royal Statistical Society Series A (Statistics in Society). 184(1). 227–254. 15 indexed citations
4.
Hong, Guanglei, et al.. (2020). UNPACKING COMPLEX MEDIATION MECHANISMS AND THEIR HETEROGENEITY BETWEEN SITES IN A JOB CORPS EVALUATION. Journal of Policy Analysis and Management. 40(1). 158–190. 6 indexed citations
5.
Hong, Guanglei, et al.. (2018). Weighting-Based Sensitivity Analysis in Causal Mediation Studies. Journal of Educational and Behavioral Statistics. 43(1). 32–56. 35 indexed citations
6.
Bein, Edward, et al.. (2018). Two‐step estimation in ratio‐of‐mediator‐probability weighted causal mediation analysis. Statistics in Medicine. 37(8). 1304–1324. 9 indexed citations
7.
Hong, Guanglei, et al.. (2017). A Weighting Method for Assessing Between-Site Heterogeneity in Causal Mediation Mechanism. Journal of Educational and Behavioral Statistics. 42(3). 308–340. 15 indexed citations
8.
Hong, Guanglei, et al.. (2015). Ratio-of-Mediator-Probability Weighting for Causal Mediation Analysis in the Presence of Treatment-by-Mediator Interaction. Journal of Educational and Behavioral Statistics. 40(3). 307–340. 33 indexed citations
9.
Garrett, Rachel & Guanglei Hong. (2015). Impacts of Grouping and Time on the Math Learning of Language Minority Kindergartners. Educational Evaluation and Policy Analysis. 38(2). 222–244. 13 indexed citations
10.
Hong, Guanglei, et al.. (2013). Making Sense of the "Zero Effect" of Comprehensive Teacher Induction Programs: A Mediational Analysis.. Society for Research on Educational Effectiveness.
11.
VanderWeele, Tyler J., Guanglei Hong, Stephanie M. Jones, & Joshua L. Brown. (2013). Mediation and Spillover Effects in Group-Randomized Trials: A Case Study of the 4Rs Educational Intervention. Journal of the American Statistical Association. 108(502). 469–482. 49 indexed citations
12.
Hong, Guanglei & Takako Nomi. (2012). Weighting Methods for Assessing Policy Effects Mediated by Peer Change. Journal of Research on Educational Effectiveness. 5(3). 261–289. 18 indexed citations
13.
14.
Hong, Guanglei, et al.. (2010). Class Management and Homogeneous Grouping in Kindergarten Literacy Instruction.. Society for Research on Educational Effectiveness.
15.
Hong, Guanglei. (2010). Marginal Mean Weighting Through Stratification: Adjustment for Selection Bias in Multilevel Data. Journal of Educational and Behavioral Statistics. 35(5). 499–531. 92 indexed citations
16.
Chen, Xi, et al.. (2010). Effects of cross-language transfer on first-language phonological awareness and literacy skills in Chinese children receiving English instruction.. Journal of Educational Psychology. 102(3). 712–728. 57 indexed citations
17.
18.
Hong, Guanglei, et al.. (2008). Reading Instruction Time and Homogeneous Grouping in Kindergarten: An Application of Marginal Mean Weighting Through Stratification. Educational Evaluation and Policy Analysis. 31(1). 54–81. 37 indexed citations
19.
Hong, Guanglei & Stephen W. Raudenbush. (2006). Evaluating Kindergarten Retention Policy. Journal of the American Statistical Association. 101(475). 901–910. 240 indexed citations
20.
Hong, Guanglei. (2004). Causal inference for multi -level observational data with application to kindergarten retention.. Deep Blue (University of Michigan). 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Alison Black Breakdown of academic impact, for papers by Jessaca Spybrook Breakdown of academic impact, for papers by Peter Z. Schochet Breakdown of academic impact, for papers by Pei Zhu Breakdown of academic impact, for papers by Margaret Wu Breakdown of academic impact, for papers by Lashawn Richburg-Hayes Breakdown of academic impact, for papers by Lindsay C. Page Breakdown of academic impact, for papers by Gregory J. Palardy Breakdown of academic impact, for papers by Artur Pokropek Breakdown of academic impact, for papers by Courtney Bell
Rankless by CCL
2026