Haitao Chu

20.1k total citations · 7 hit papers
292 papers, 12.2k citations indexed

About

Haitao Chu is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Economics and Econometrics. According to data from OpenAlex, Haitao Chu has authored 292 papers receiving a total of 12.2k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Statistics and Probability, 74 papers in Statistics, Probability and Uncertainty and 39 papers in Economics and Econometrics. Recurrent topics in Haitao Chu's work include Statistical Methods in Clinical Trials (77 papers), Statistical Methods and Bayesian Inference (72 papers) and Meta-analysis and systematic reviews (68 papers). Haitao Chu is often cited by papers focused on Statistical Methods in Clinical Trials (77 papers), Statistical Methods and Bayesian Inference (72 papers) and Meta-analysis and systematic reviews (68 papers). Haitao Chu collaborates with scholars based in United States, China and United Kingdom. Haitao Chu's co-authors include Lifeng Lin, Stephen R. Cole, Christine A. Goeschel, Sara E. Cosgrove, Robert C. Hyzy, David Sinopoli, Dale M. Needham, Sean M. Berenholtz, Joseph J. Bander and Bryan Sexton and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Haitao Chu

267 papers receiving 11.9k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An Intervention to Decrease Catheter-Related Bloodstream Infections in the ICU

2006 2.8k citations Haitao Chu et al. profile →
Quantifying Publication Bias in Meta-Analysis

2017 1.0k citations Lifeng Lin, Haitao Chu profile →
Illustrating bias due to conditioning on a collider

2009 536 citations Haitao Chu et al. profile →
Optimally estimating the sample standard deviation from the five‐number summary

2020 400 citations Dehui Luo, Hong Weng et al. Research Synthesis Methods profile →
Empirical Comparison of Publication Bias Tests in Meta-Analysis

2018 272 citations Lifeng Lin, Haitao Chu et al. profile →
Meta-analysis of Proportions Using Generalized Linear Mixed Models

2020 219 citations Lifeng Lin, Haitao Chu Epidemiology profile →
When continuous outcomes are measured using different scales: guide for meta-analysis and interpretation

2019 215 citations M. Hassan Murad, Zhen Wang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haitao Chu United States	46	1.8k	1.7k	1.7k	1.5k	1.3k	292	12.2k
Vernon T. Farewell United Kingdom	72	1.7k 1.0×	2.5k 1.5×	1.4k 0.9×	522 0.3×	747 0.6×	287	18.5k
Thomas Alexander Gerds Denmark	59	2.0k 1.1×	1.2k 0.7×	1.8k 1.1×	630 0.4×	2.9k 2.3×	318	14.1k
Roger Lewis United States	48	1.7k 1.0×	633 0.4×	1.2k 0.7×	785 0.5×	927 0.7×	234	8.6k
Richard Lilford United Kingdom	65	1.8k 1.0×	660 0.4×	1.9k 1.1×	953 0.6×	930 0.7×	422	16.5k
Anne WS Rutjes Switzerland	55	3.7k 2.1×	565 0.3×	2.5k 1.5×	487 0.3×	1.8k 1.4×	121	17.1k
Vernon M. Chinchilli United States	65	1.8k 1.0×	1.0k 0.6×	1.2k 0.7×	489 0.3×	559 0.4×	447	16.4k
Kitty J. Jager Netherlands	69	2.4k 1.4×	495 0.3×	1.6k 1.0×	1.2k 0.8×	2.0k 1.6×	364	17.8k
Hal Morgenstern United States	70	2.0k 1.1×	751 0.4×	2.1k 1.2×	573 0.4×	1.1k 0.8×	272	19.0k
Charles Poole United States	55	2.6k 1.5×	904 0.5×	3.1k 1.8×	365 0.2×	1.3k 1.1×	190	20.0k
Andrew R. Willan Canada	61	2.3k 1.3×	791 0.5×	1.8k 1.1×	622 0.4×	1.6k 1.3×	264	17.4k

Countries citing papers authored by Haitao Chu

Since Specialization

Citations

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

Fields of papers citing papers by Haitao Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haitao Chu

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

Chu, Haitao, et al.. (2025). A Hybrid Near-Far Field Channel Model for RIS-Assisted Healthcare Monitoring and Precision Positioning in Internet of Everything. IEEE Internet of Things Journal. 12(13). 22599–22609.

Chen, Ke, Ji Young Shin, Haitao Chu, et al.. (2024). Training and dashboard design: Impact on operator performance and mental workload for flight safety. Safety Science. 181. 106700–106700. 2 indexed citations

Zivich, Paul N., et al.. (2024). A Comprehensive Review and Tutorial on Confounding Adjustment Methods for Estimating Treatment Effects Using Observational Data. Applied Sciences. 14(9). 3662–3662. 6 indexed citations

Murad, M. Hassan, Zhen Wang, Haitao Chu, et al.. (2023). Proposed triggers for retiring a living systematic review. BMJ evidence-based medicine. 28(5). 348–352. 10 indexed citations

Hlavacek, Patrick, et al.. (2023). A matching-adjusted indirect treatment comparison of elranatamab in patients with triple-class exposed relapsed/refractory multiple myeloma: Comparisons with belantamab mafodotin, selinexor plus dexamethasone, and real-world physician’s choice of treatment.. Journal of Clinical Oncology. 41(16_suppl). e20038–e20038. 1 indexed citations

Lin, Lifeng & Haitao Chu. (2022). Assessing and visualizing fragility of clinical results with binary outcomes in R using the fragility package. PLoS ONE. 17(6). e0268754–e0268754. 19 indexed citations

Guo, Juanru, Mengli Xiao, Haitao Chu, & Lifeng Lin. (2022). Meta-analysis methods for risk difference: A comparison of different models. Statistical Methods in Medical Research. 32(1). 3–21. 6 indexed citations

Xiao, Mengli, et al.. (2022). Splenectomy versus Imaging-Guided Percutaneous Drainage for Splenic Abscess: A Systematic Review and Meta-Analysis. Surgical Infections. 23(5). 417–429. 9 indexed citations

Baker, Zachary G., Stephanie Jarosek, Mark Woodhouse, et al.. (2021). Longitudinal Comparison of Stability and Sensitivity in Quality of Life Scores Among Nursing Home Residents With and Without Diagnoses of Alzheimer’s Disease and Related Dementias. Innovation in Aging. 5(3). igab024–igab024. 2 indexed citations

10.

McDonough, Daniel J., et al.. (2020). Application of network meta-analysis in the field of physical activity and health promotion. Journal of sport and health science. 9(6). 511–520. 26 indexed citations

11.

Wang, Zhenxun, Lifeng Lin, James S. Hodges, Richard F. MacLehose, & Haitao Chu. (2020). A variance shrinkage method improves arm-based Bayesian network meta-analysis. Statistical Methods in Medical Research. 30(1). 151–165. 6 indexed citations

12.

Wang, Zhenxun, Lifeng Lin, James S. Hodges, & Haitao Chu. (2020). The impact of covariance priors on arm‐based Bayesian network meta‐analyses with binary outcomes. Statistics in Medicine. 39(22). 2883–2900. 14 indexed citations

13.

Chu, Haitao, et al.. (2020). A Bayesian approach to assessing small‐study effects in meta‐analysis of a binary outcome with controlled false positive rate. Research Synthesis Methods. 11(4). 535–552. 15 indexed citations

14.

Luo, Dehui, Hong Weng, Xian‐Tao Zeng, et al.. (2020). Optimally estimating the sample mean and standard deviation from the five-number summary. arXiv (Cornell University). 3 indexed citations

15.

Liang, Menglu, Qinshu Lian, Georgios A. Kotsakis, et al.. (2020). Bayesian Network Meta-analysis of Multiple Outcomes in Dental Research. Journal of Evidence Based Dental Practice. 20(1). 101403–101403. 16 indexed citations

16.

Lin, Lifeng & Haitao Chu. (2018). Bayesian multivariate meta‐analysis of multiple factors. Research Synthesis Methods. 9(2). 261–272. 12 indexed citations

17.

Ma, Xiaoye, Qinshu Lian, Haitao Chu, Joseph G. Ibrahim, & Yong Chen. (2017). A Bayesian hierarchical model for network meta-analysis of multiple diagnostic tests. Biostatistics. 19(1). 87–102. 24 indexed citations

18.

Lin, Lifeng, Haitao Chu, & James S. Hodges. (2016). Sensitivity to Excluding Treatments in Network Meta-analysis. Epidemiology. 27(4). 562–569. 29 indexed citations

19.

Zhu, Motao, Haitao Chu, Thomas Rice, & Mary Carter. (2011). Implications of Conducting Trend Analyses of Emergency Department Visits Using Publicly Released Masked Design Variables. Annals of Emergency Medicine. 57(6). 683–687.e1. 3 indexed citations

20.

Qu, Pingping, Haitao Chu, Joseph G. Ibrahim, et al.. (2008). Statistical strategies to improve the efficiency of molecular studies of colorectal cancer prognosis. British Journal of Cancer. 99(12). 2001–2005. 1 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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