Publications
179
Citations
3,556
Est. group size
~3
Recurring co-author estimate
Active years
32
Publishing since 1995
Tonglin Zhang works on statistical methodology, with particular focus on spatial statistics, variable selection in high-dimensional data, and mixed-effects models, along with applications spanning disease surveillance, geographic data analysis, and other domains such as image and signal processing. The work is mostly theoretical and computational, developing methods and algorithms (e.g., for maximum likelihood estimation, Bayesian inference, and feature selection) that can be applied to complex, large-scale datasets.
Publication output has fluctuated over the past decade but shows a generally steady pace, with a peak in 2023 and continued activity through 2024-2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- A maturity detection model for greenhouse tomato
2026
- Penalty free variable selection for high-dimensional linear models
Electronic Journal of Statistics · 2025
- A Tower Tilt Prediction Method for Transmission Lines based on Comprehensive Learning Particle Swarm Optimisation-LSTM and Attention Mechanism
International Journal of Security and Networks · 2025
- A Lightweight Foreign Object Detection Method For Transmission Lines Based On The Improved YOLOv5n
2025
- Statistical Modeling of Spatially Stratified Heterogeneous Data
Annals of the American Association of Geographers · 2024
- Spatial monitoring to reduce COVID-19 vaccine hesitance
Journal of Geographical Systems · 2024
- Investment Strategy of Offshore Wind Power Under Gradient Interactive Policy Mixes: A Real Options Approach
SSRN Electronic Journal · 2024
- A Dynamic Multi-Scale Convolution Model for Face Recognition Using Event-Related Potentials
Sensors · 2024
- Aggregated Sure Independence Screening for Variable Selection with Interaction Structures
arXiv (Cornell University) · 2024
- Exact MLE for Generalized Linear Mixed Models
arXiv (Cornell University) · 2024
- Exact Posterior Mean and Covariance for Generalized Linear Mixed Models
arXiv (Cornell University) · 2024
- Selection of Ultrahigh-Dimensional Interactions Using $L_0$ Penalty
arXiv (Cornell University) · 2024
- Understanding and extending the geographical detector model under a linear regression framework
International Journal of Geographical Information Systems · 2023
- Maximum Likelihood Algorithm for Spatial Generalized Linear Mixed Models without Numerical Evaluations of Intractable Integrals
Journal of Computational and Graphical Statistics · 2023
- Two-Step Pin Model to Estimate the Probability of Informed Trading
SSRN Electronic Journal · 2023
- arXiv (Cornell University)×12
- SSRN Electronic Journal×4
- Computational Statistics & Data Analysis×3
- Statistica Sinica×3
- Journal of Multivariate Analysis×3
- Shaun J. Grannis
Medicine · Indiana University
- Yuzi Zhang
Medicine · The Ohio State University
- Yuchen Liang
Mathematics · The Ohio State University
- Paul F. V. Wiemann
Mathematics · The Ohio State University
- Dayu Sun
Mathematics · Indiana University
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 20, 2026.
Claim or correct this profile