Huiyan Sang

3.2k total citations · 1 hit paper
54 papers, 2.1k citations indexed

About

Huiyan Sang is a scholar working on Environmental Engineering, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Huiyan Sang has authored 54 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Environmental Engineering, 12 papers in Artificial Intelligence and 12 papers in Economics and Econometrics. Recurrent topics in Huiyan Sang's work include Soil Geostatistics and Mapping (14 papers), Spatial and Panel Data Analysis (10 papers) and Statistical Methods and Inference (6 papers). Huiyan Sang is often cited by papers focused on Soil Geostatistics and Mapping (14 papers), Spatial and Panel Data Analysis (10 papers) and Statistical Methods and Inference (6 papers). Huiyan Sang collaborates with scholars based in United States, China and Saudi Arabia. Huiyan Sang's co-authors include Alan E. Gelfand, Sudipto Banerjee, Andrew O. Finley, Jianhua Z. Huang, R. Guardián, Alaa Elwany, Marc G. Genton, Furong Li, John A. Silander and Andrew M. Latimer and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Journal of Computational Physics.

In The Last Decade

Huiyan Sang

49 papers receiving 2.0k citations

Hit Papers

align trajectories

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.

Gaussian Predictive Process Models for Large Spatial Data Sets

2008 618 citations Sudipto Banerjee, Alan E. Gelfand et al. Journal of the Royal Statistical Society Series B (Statistical Methodology) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Huiyan Sang United States	19	755	528	506	387	329	54	2.1k
Dale L. Zimmerman United States	28	973 1.3×	420 0.8×	654 1.3×	374 1.0×	424 1.3×	93	3.2k
Montserrat Fuentes United States	28	1.0k 1.4×	532 1.0×	661 1.3×	411 1.1×	457 1.4×	83	2.9k
Emilio Porcu Chile	23	1.1k 1.4×	298 0.6×	359 0.7×	372 1.0×	202 0.6×	151	1.9k
William W. S. Wei United States	15	218 0.3×	238 0.5×	577 1.1×	260 0.7×	211 0.6×	33	2.4k
Abhirup Datta United States	15	590 0.8×	193 0.4×	262 0.5×	291 0.8×	220 0.7×	57	1.2k
Matthias Katzfuß United States	15	539 0.7×	405 0.8×	257 0.5×	405 1.0×	168 0.5×	41	1.5k
Christine Tuleau-Malot France	6	420 0.6×	447 0.8×	56 0.1×	353 0.9×	92 0.3×	11	2.4k
G. J. Janacek United Kingdom	18	220 0.3×	238 0.5×	352 0.7×	492 1.3×	146 0.4×	34	2.4k
T. Subba Rao India	10	365 0.5×	341 0.6×	270 0.5×	194 0.5×	146 0.4×	20	1.4k
Jean D. Opsomer United States	25	350 0.5×	255 0.5×	334 0.7×	312 0.8×	1.1k 3.3×	77	2.2k

Countries citing papers authored by Huiyan Sang

Since Specialization

Citations

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

Fields of papers citing papers by Huiyan Sang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huiyan Sang

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

Sang, Huiyan, et al.. (2025). Logistic-Beta Processes for Dependent Random Probabilities with Beta Marginals. Bayesian Analysis. 20(4). 1345–1369.

Li, Xiaoyu, et al.. (2025). A novel thermal comfort model for older adults – development and validation of the COMFA-OA model. Building and Environment. 287(Pt A). 113758–113758.

Sang, Huiyan, et al.. (2024). Nonparametric Machine Learning for Stochastic Frontier Analysis: A Bayesian Additive Regression Tree Approach. Econometrics and Statistics. 2 indexed citations

Zhong, Yan, Huiyan Sang, Scott Cook, & Paul M. Kellstedt. (2022). Sparse spatially clustered coefficient model via adaptive regularization. Computational Statistics & Data Analysis. 177. 107581–107581. 5 indexed citations

Ren, Tong, et al.. (2022). Performance of Cloud 3D Solvers in Ice Cloud Shortwave Radiation Closure Over the Equatorial Western Pacific Ocean. Journal of Advances in Modeling Earth Systems. 14(2). 4 indexed citations

Sang, Huiyan, et al.. (2022). Age–volume associations in cerebellar lobules by sex and reproductive stage. Brain Structure and Function. 227(7). 2439–2455. 6 indexed citations

Sang, Huiyan, et al.. (2022). Rapidly Mixing Multiple-Try Metropolis Algorithms for Model Selection Problems. 25842–25855.

Hu, Guanyu, et al.. (2022). Bayesian Spatial Homogeneity Pursuit of Functional Data: An Application to the U.S. Income Distribution. Bayesian Analysis. 18(2). 9 indexed citations

Sang, Huiyan, et al.. (2021). A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables. Journal of Machine Learning Research. 22(37). 1–52. 12 indexed citations

10.

Sang, Huiyan, et al.. (2021). BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain. Neural Information Processing Systems. 34. 3 indexed citations

11.

Zhao, Hongwei, Tiffany A. Radcliff, Murray J. Côté, et al.. (2021). COVID-19: Short term prediction model using daily incidence data. PLoS ONE. 16(4). e0250110–e0250110. 27 indexed citations

12.

Zhu, Xuemei, et al.. (2021). Nursing Home Design and COVID-19: Implications for Guidelines and Regulation. Journal of the American Medical Directors Association. 23(2). 272–279.e1. 18 indexed citations

13.

Sang, Huiyan, et al.. (2021). Risk based arsenic rational sampling design for public and environmental health management. Chemometrics and Intelligent Laboratory Systems. 211. 104274–104274. 3 indexed citations

14.

Hong, Yan, Samuel N. Forjuoh, Marcia G. Ory, Michael Reis, & Huiyan Sang. (2017). A Multi-Level, Mobile-Enabled Intervention to Promote Physical Activity in Older Adults in the Primary Care Setting (iCanFit 2.0): Protocol for a Cluster Randomized Controlled Trial. JMIR Research Protocols. 6(9). e183–e183. 3 indexed citations

15.

Apostolopoulos, Yorghos, Michael K. Lemke, Adam Hege, et al.. (2016). Work and Chronic Disease. Journal of Occupational and Environmental Medicine. 58(11). 1098–1105. 37 indexed citations

16.

Bowman, Kenneth P., et al.. (2013). An adaptive spatial model for precipitation data from multiple satellites over large regions. Statistics and Computing. 25(2). 389–405. 2 indexed citations

17.

Sang, Huiyan & Marc G. Genton. (2013). Tapered composite likelihood for spatial max-stable models. Spatial Statistics. 8. 86–103. 21 indexed citations

18.

Sang, Huiyan & Jianhua Z. Huang. (2011). A Full Scale Approximation of Covariance Functions for Large Spatial Data Sets. Journal of the Royal Statistical Society Series B (Statistical Methodology). 74(1). 111–132. 136 indexed citations

19.

Latimer, Andrew M., et al.. (2009). Hierarchical models facilitate spatial analysis of large data sets: a case study on invasive plant species in the northeastern United States. Ecology Letters. 12(2). 144–154. 119 indexed citations

20.

Finley, Andrew O., Huiyan Sang, Sudipto Banerjee, & Alan E. Gelfand. (2008). Improving the performance of predictive process modeling for large datasets. Computational Statistics & Data Analysis. 53(8). 2873–2884. 153 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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