Hengshi Yu

Mathematics · University of Michigan

Early career · publishing since 2017

Statistical Methods and Bayesian Inference Advanced Causal Inference Techniques Statistical Methods in Clinical Trials Statistical Methods and Inference Single-cell and spatial transcriptomics

Publications

Citations

202

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 2017

In context

Among 56 early career Mathematics PIs within our index

Citations: 202cohort median 54

Publications / year (recent): 1.0cohort median 2.7

Typically publishes in teams of ~4 · 38% small-team papers (≤3 authors) · across 9 venues

Publication cadence

Publications per year over the last 10 years — averaging 1.0/year recently

Collaborators per year

Distinct co-authors at University of Michigan each year — a rough indication of whether the group around this researcher has been growing or contracting. An estimate from co-authorship, not a roster: collaborators are not necessarily lab members, and recent years can be under-counted while indexing catches up.

Recent publications

Doubly Robust Quadratic Inference Functions for Causal Inference in Cluster Randomized Trials
arXiv (Cornell University) · 2026
Doubly Robust Quadratic Inference Functions for Causal Inference in Cluster Randomized Trials
arXiv (Cornell University) · 2026
Deep Generative Models for Single-Cell Perturbation Experiments
Deep Blue (University of Michigan) · 2022
Marginal modeling of cluster-period means and intraclass correlations in stepped wedge designs with binary outcomes
arXiv (Cornell University) · 2021
Marginal modeling of cluster-period means and intraclass correlations in stepped wedge designs with binary outcomes
Biostatistics · 2020
An evaluation of quadratic inference functions for estimating intervention effects in cluster randomized trials
Contemporary Clinical Trials Communications · 2020
A note on the estimation and inference with quadratic inference functions for correlated outcomes
Communications in Statistics - Simulation and Computation · 2020
Efficient Design and Analysis of Cluster Randomized Trials [R package cvcrand version 0.1.0]
2020
geeCRT: Bias-Corrected GEE for Cluster Randomized Trials
2020
Bias-Corrected GEE for Cluster Randomized Trials [R package geeCRT version 0.0.1]
2020
cvcrand: A Package for Covariate-constrained Randomization and the Clustered Permutation Test for Cluster Randomized Trials
The R Journal · 2019
A beginner's guide to single-cell transcriptomics
The Biochemist · 2019
Cvcrand and Cptest: Commands for Efficient Design and Analysis of Cluster Randomized Trials Using Constrained Randomization and Permutation Tests
The Stata Journal Promoting communications on statistics and Stata · 2018
cvcrand: Efficient Design and Analysis of Cluster Randomized Trials
2017
CVCRAND: Stata module for efficient design and analysis of Cluster Randomized Trials
RePEc: Research Papers in Economics · 2017

Publishes in

arXiv (Cornell University)×3
bioRxiv (Cold Spring Harbor Laboratory)×2
Molecular Systems Biology×1
Biostatistics×1
Genome biology×1

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 25, 2026.

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