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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

High-performance solutions of geographically weighted regression in R
Binbin Lu, Yigong Hu, Daisuke Murakami, et al.
Geo-spatial Information Science (2022) Vol. 25, Iss. 4, pp. 536-549
Open Access | Times Cited: 25

Showing 25 citing articles:

Multi-scale spatiotemporal wetland loss and its critical influencing factors in China determined using innovative grid-based GWR
Aohua Tian, Tingting Xu, Jay Gao, et al.
Ecological Indicators (2023) Vol. 149, pp. 110144-110144
Open Access | Times Cited: 17
Revealing the spatial variation in biomass uptake rates of Brazil’s secondary forests
Na Chen, Nandin‐Erdene Tsendbazar, Daniela Requena Suárez, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 208, pp. 233-244
Open Access | Times Cited: 5
Multiscale spatially varying coefficient modelling using a Geographical Gaussian Process GAM
Alexis Comber, Paul Harris, Chris Brunsdon
International Journal of Geographical Information Science (2023) Vol. 38, Iss. 1, pp. 27-47
Open Access | Times Cited: 11
GWmodelS: a standalone software to train geographically weighted models
Binbin Lu, Yigong Hu, Dongyang Yang, et al.
Geo-spatial Information Science (2024), pp. 1-23
Open Access | Times Cited: 4
Wavelet kernel estimation of spatiotemporal models applied to ozone analysis in East China
Shuyue Wang, Xinxin Xie, Ke Rong
Environmental and Ecological Statistics (2025)
Closed Access
Impact of Different Greenspace Metrics on Cardiovascular Disease Incidence in Urban Settings: A Comparative Analysis
Ruixin Dong, Yuan Hong, Gang Xu, et al.
Journal of Urban Health (2025)
Closed Access
Similarity and Geographically Weighted Regression Considering Spatial Scales of Features Space
Shi‐Feng Yu, Xiao‐Yu Hu, Yehua Sheng, et al.
Spatial Statistics (2025), pp. 100897-100897
Closed Access
GWmodelS: A software for geographically weighted models
Binbin Lu, Yigong Hu, Dongyang Yang, et al.
SoftwareX (2022) Vol. 21, pp. 101291-101291
Open Access | Times Cited: 17
Multiscale geographically weighted quantile regression
Allaa H. Elkady, Abd-Elnaser S. Abd-Rabou, Amira Elayouty
Spatial Economic Analysis (2025), pp. 1-24
Closed Access
How much carbon storage will loss in a desertification area? Multiple policy scenario analysis from Gansu Province
Jiamin Liu, Xiutong Pei, Wei–Jie Yu, et al.
The Science of The Total Environment (2023) Vol. 913, pp. 169668-169668
Closed Access | Times Cited: 9
Post-fire vegetation dynamic patterns and drivers in greater Hinggan Mountains: Insights from long-term remote sensing data analysis
Bohan Jiang, Wei Chen, Yuan Zou, et al.
Ecological Informatics (2024) Vol. 83, pp. 102850-102850
Open Access | Times Cited: 3
Investigating the effect of spatial patterns of artificial impervious surface on PM 2.5 at the intra-urban scale
Zhiyu Fan, Qingming Zhan, Yun Wang, et al.
Geo-spatial Information Science (2024), pp. 1-20
Open Access | Times Cited: 2
Research on multiscale OpenStreetMap in China: data quality assessment with EWM-TOPSIS and GDP modeling
Chuqiao Han, Binbin Lu, Jianghua Zheng, et al.
Geo-spatial Information Science (2024), pp. 1-25
Closed Access | Times Cited: 2
A linearization for stable and fast geographically weighted Poisson regression
Daisuke Murakami, Narumasa Tsutsumida, Takahiro Yoshida, et al.
International Journal of Geographical Information Science (2023) Vol. 37, Iss. 8, pp. 1818-1839
Open Access | Times Cited: 6
Machine Learning-Based Forest Classification and Regression (FCR) for Spatial Prediction of Liver Fluke (<em>Opisthorchis viverrini</em>) Infection in Small Sub Watershed
Benjamabhorn Pumhirunroj, Patiwat Littidej, Thidarut Boonmars, et al.
(2023)
Open Access | Times Cited: 4
Construction of high-resolution precipitation dataset and its implication to drought over the Tianshan Mountains, China
Xiaoqian Li, Xinlin He, Xiaolong Li, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 3
Stochastic gradient geographical weighted regression (sgGWR): scalable bandwidth optimization for geographically weighted regression
Hayato Nishi, Yasushi Asami
International Journal of Geographical Information Science (2023) Vol. 38, Iss. 2, pp. 354-380
Closed Access | Times Cited: 3
Machine-Learning-Based Forest Classification and Regression (FCR) for Spatial Prediction of Liver Fluke Opisthorchis viverrini (OV) Infection in Small Sub-Watersheds
Benjamabhorn Pumhirunroj, Patiwat Littidej, Thidarut Boonmars, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 12, pp. 503-503
Open Access | Times Cited: 2
Relación de datos climáticos y de teledetección con la diversidad arbórea en un bosque templado
Jesús Emmanuel Méndez Zúñiga, José Manuel Zúñiga-Vásquez, José Guadalupe Colín
Revista mexicana de ciencias forestales (2024) Vol. 15, Iss. 85, pp. 97-122
Open Access
Spatial Analysis of Influence Factors Associated With Liver Fluke (Opisthorchis viverrini) Infection in Small Sub-Watershed Using GWR Modeling
Benjamabhorn Pumhirunroj, Patiwat Littidej, Thidarut Boonmars, et al.
(2023)
Open Access | Times Cited: 1
Speeding up estimation of spatially varying coefficients models
Ghislain Géniaux
Journal of Geographical Systems (2024) Vol. 26, Iss. 3, pp. 293-327
Open Access
Evaluating Urban Land Resource Carrying Capacity With Geographically Weighted Principal Component Analysis: A Case Study in Wuhan, China
Binbin Lu, Yilin Shi, Sixian Qin, et al.
Transactions in GIS (2024)
Closed Access
Spatial prediction of the probability of liver fluke infection in water resource within sub-basin using an optimized geographically-weighted regression model
Benjamabhorn Pumhirunroj, Patiwat Littidej, Thidarut Boonmars, et al.
Frontiers in Veterinary Science (2024) Vol. 11
Open Access
GeoWeightedModel : An R-Shiny package for Geographically Weighted Models
Javier de la Hoz-M, Susana Mendes, María José Fernández Gómez
SoftwareX (2022) Vol. 20, pp. 101250-101250
Open Access | Times Cited: 2
GWmodelS: A High-Performance Computing Framework for Geographically Weighted Models
Binbin Lu, Guanpeng Dong
Lecture notes in computer science (2022), pp. 154-161
Closed Access | Times Cited: 1
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