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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:

Incorporating Spatial Autocorrelation in Machine Learning Models Using Spatial Lag and Eigenvector Spatial Filtering Features
Xiaojian Liu, Ourania Kounadi, R. Zurita‐Milla
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 4, pp. 242-242
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Ensembling machine learning models to identify forest fire-susceptible zones in Northeast India
Mriganka Shekhar Sarkar, Bishal Kumar Majhi, Bhawna Pathak, et al.
Ecological Informatics (2024) Vol. 81, pp. 102598-102598
Open Access | Times Cited: 15
Data-driven surrogate modeling: Introducing spatial lag to consider spatial autocorrelation of flooding within urban drainage systems
Heng Li, Chunxiao Zhang, Min Chen, et al.
Environmental Modelling & Software (2023) Vol. 161, pp. 105623-105623
Open Access | Times Cited: 28
GeoShapley: A Game Theory Approach to Measuring Spatial Effects in Machine Learning Models
Ziqi Li
Annals of the American Association of Geographers (2024) Vol. 114, Iss. 7, pp. 1365-1385
Open Access | Times Cited: 13
Adapting machine learning for environmental spatial data - A review
Marta Jemeļjanova, Alexander Kmoch, Evelyn Uuemaa
Ecological Informatics (2024) Vol. 81, pp. 102634-102634
Open Access | Times Cited: 10
Assessing the Influence of Climate on the Spatial Pattern of West Nile Virus Incidence in the United States
Morgan E. Gorris, James T. Randerson, Shane Coffield, et al.
Environmental Health Perspectives (2023) Vol. 131, Iss. 4
Open Access | Times Cited: 14
Comparison of Machine Learning Algorithms for Merging Gridded Satellite and Earth-Observed Precipitation Data
Georgia Papacharalampous, Hristos Tyralis, Anastasios Doulamis, et al.
Water (2023) Vol. 15, Iss. 4, pp. 634-634
Open Access | Times Cited: 13
Effect of Soil Properties on Species Richness of Fossorial Squamate Reptiles
Dunxue Chen, Uri Roll, Shai Meiri
Journal of Biogeography (2025)
Open Access
Application of machine learning algorithms and Sentinel-2 satellite for improved bathymetry retrieval in Lake Victoria, Tanzania
Makemie Jumanne Mabula, Danielson Kisanga, Siajali Pamba
The Egyptian Journal of Remote Sensing and Space Science (2023) Vol. 26, Iss. 3, pp. 619-627
Open Access | Times Cited: 11
Unveiling the Dynamics of Rural Revitalization: From Disorder to Harmony in China’s Production-Life-Ecology Space
Ningning Liu, Qikang Zhong, Kai Zhu
Land (2024) Vol. 13, Iss. 5, pp. 604-604
Open Access | Times Cited: 3
Fusion and classification algorithm of octacalcium phosphate production based on XRD and FTIR data
Mauro Nascimben, Ilijana Kovrlija, Jānis Ločs, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Greenness, air pollution, and temperature exposure effects in predicting premature mortality and morbidity: A small-area study using spatial random forest model
S.M. Labib
The Science of The Total Environment (2024) Vol. 928, pp. 172387-172387
Open Access | Times Cited: 2
A Novel Deep Learning Approach for Real-Time Critical Assessment in Smart Urban Infrastructure Systems
Abdulaziz Almaleh
Electronics (2024) Vol. 13, Iss. 16, pp. 3286-3286
Open Access | Times Cited: 2
Challenges in data-driven geospatial modeling for environmental research and practice
Diana Koldasbayeva, Polina Tregubova, Mikhail Gasanov, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Evidence from interpretable machine learning to inform spatial management of Palau's tuna fisheries
Eric Gilman, Milani Chaloupka
Ecosphere (2024) Vol. 15, Iss. 2
Open Access | Times Cited: 1
Random Forest Regression Models in Ecology: Accounting for Messy Biological Data and Producing Predictions with Uncertainty
Caitlin Allen Akselrud
(2024)
Closed Access | Times Cited: 1
Mapping heterogeneity: Spatially explicit machine learning approaches for urban value uplift characterisation and prediction
Xiuning Zhang, Yumo Zhu, Wei Gan, et al.
Sustainable Cities and Society (2024) Vol. 114, pp. 105742-105742
Open Access | Times Cited: 1
Random forest regression models in ecology: Accounting for messy biological data and producing predictions with uncertainty
Caitlin I. Allen Akselrud
Fisheries Research (2024) Vol. 280, pp. 107161-107161
Closed Access | Times Cited: 1
A Comparative Analysis of Machine Learning Techniques for National Glacier Mapping: Evaluating Performance through Spatial Cross-Validation in Perú
Marcelo Bueno, Briggitte Macera, Nilton Montoya
Water (2023) Vol. 15, Iss. 24, pp. 4214-4214
Open Access | Times Cited: 2
Evaluating spatially enabled machine learning approaches to depth to bedrock mapping, Alberta, Canada
Steven Pawley, Lisa Atkinson, D J Utting, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0296881-e0296881
Open Access
A spatial dependency based reinforcement learning model for selecting features in spatial classification
Wei Cheng, Wenhao Yu
GeoInformatica (2024)
Closed Access
Mapping Heterogeneity: Spatially Explicit Machine Learning Approaches for Urban Value Uplift Characterisation and Prediction
Xiuning Zhang, Yumo Zhu, Wei Gan, et al.
(2024)
Closed Access
Spatial Heterogeneity Modeling Using Machine Learning Based on a Hybrid of Random Forest and Convolutional Neural Network (CNN)
Amadou Barry, Anthony Waititu Gichuhi, Lawrence Nderu
Journal of Data Analysis and Information Processing (2024) Vol. 12, Iss. 03, pp. 319-347
Open Access
Incorporating Spatial Autocorrelation into GPP Estimation Using Eigenvector Spatial Filtering
Rui Xu, Yumin Chen, Ge Han, et al.
Forests (2024) Vol. 15, Iss. 7, pp. 1198-1198
Open Access
Nationwide spatiotemporal prediction of foot and mouth disease in Iran using machine learning (2008–2018)
Mahdi Nazari Ashani, Ali Asghar Alesheikh, Aynaz Lotfata
Spatial Information Research (2024) Vol. 32, Iss. 6, pp. 775-786
Closed Access
From Data to Application: Harnessing Big Spatial Data and Spatially Explicit Machine Learning Model for Landslide Susceptibility Prediction and Mapping
Khant Min Naing, Victoria Grace Ann, Tin Seong Kam
(2024), pp. 10-19
Closed Access
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