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:

Spatial Downscaling of Land Surface Temperature Based on a Multi-Factor Geographically Weighted Machine Learning Model
Saiping Xu, Qianjun Zhao, Kai Yin, et al.
Remote Sensing (2021) Vol. 13, Iss. 6, pp. 1186-1186
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

A Review of Ensemble Learning Algorithms Used in Remote Sensing Applications
Yuzhen Zhang, Jingjing Liu, Wenjuan Shen
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8654-8654
Open Access | Times Cited: 187

Combining Landsat 8 and Sentinel-2 Data in Google Earth Engine to Derive Higher Resolution Land Surface Temperature Maps in Urban Environment
Katarína Onačillová, Michal Gallay, Daniel Paluba, et al.
Remote Sensing (2022) Vol. 14, Iss. 16, pp. 4076-4076
Open Access | Times Cited: 44

Thermal infrared remote sensing data downscaling investigations: An overview on current status and perspectives
Ruiliang Pu, Stefania Bonafoni
Remote Sensing Applications Society and Environment (2023) Vol. 29, pp. 100921-100921
Open Access | Times Cited: 42

Downscaling land surface temperature: A framework based on geographically and temporally neural network weighted autoregressive model with spatio-temporal fused scaling factors
Jinhua Wu, Linyuan Xia, Ting On Chan, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 187, pp. 259-272
Open Access | Times Cited: 40

Spatiotemporal analysis of land surface temperature and land cover changes in Prešov city using downscaling approach and machine learning algorithms
Anton Uhrin, Katarína Onačillová
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 2
Open Access | Times Cited: 1

Modeling Urban Microclimates for High-Resolution Prediction of Land Surface Temperature Using Statistical Models and Surface Characteristics
Md Golam Rabbani Fahad, Maryam Karimi, Rouzbeh Nazari, et al.
Urban Science (2025) Vol. 9, Iss. 2, pp. 28-28
Open Access | Times Cited: 1

A novel dual-layer composite framework for downscaling urban land surface temperature coupled with spatial autocorrelation and spatial heterogeneity
Die Hu, Fengxiang Guo, Qingyan Meng, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 130, pp. 103900-103900
Open Access | Times Cited: 8

Evaluation of spatial distribution of carbon emissions from land use and environmental parameters: A case study in the Yangtze River Delta demonstration zone
Yuxun Zhang, Wenpeng Lin, Enhui Ren, et al.
Ecological Indicators (2023) Vol. 158, pp. 111496-111496
Open Access | Times Cited: 16

A High-Resolution Land Surface Temperature Downscaling Method Based on Geographically Weighted Neural Network Regression
Minggao Liang, Laifu Zhang, Sensen Wu, et al.
Remote Sensing (2023) Vol. 15, Iss. 7, pp. 1740-1740
Open Access | Times Cited: 15

Spatial Downscaling of Land Surface Temperature over Heterogeneous Regions Using Random Forest Regression Considering Spatial Features
Kai Tang, Hongchun Zhu, Ping Ni
Remote Sensing (2021) Vol. 13, Iss. 18, pp. 3645-3645
Open Access | Times Cited: 27

Reducing Scaling Effect on Downscaled Land Surface Temperature Maps in Heterogenous Urban Environments
Ruiliang Pu, Stefania Bonafoni
Remote Sensing (2021) Vol. 13, Iss. 24, pp. 5044-5044
Open Access | Times Cited: 27

Exploring the value of green: The impact factors on China's second-hand green housing prices based on geographically weighted Lasso regressions
Qianwen Li, Tingyu Qian, Hui Wang, et al.
Pacific-Basin Finance Journal (2025), pp. 102661-102661
Closed Access

A comparative analysis of five land surface temperature downscaling methods in plateau mountainous areas
Ju Wang, Bo‐Hui Tang, Xinming Zhu, et al.
Frontiers in Earth Science (2025) Vol. 12
Open Access

Machine Learning to Retrieve Gap-Free Land Surface Temperature from Infrared Atmospheric Sounding Interferometer Observations
Fabio Della Rocca, Pamela Pasquariello, Guido Masiello, et al.
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 694-694
Open Access

Enhancing the spatial and temporal resolution of satellite-derived land surface temperature in urban environments: A systematic literature review
Robert Andriambololonaharisoamalala, Petra Helmholz, Ivana Ivánová, et al.
Urban Climate (2025) Vol. 60, pp. 102345-102345
Open Access

A new thermal fusion method to downscale Land Surface Temperature to finer spatial resolution using Sentinel-MSI and Landsat-OLI/TIRS imagery
Hicham Bahi, Lahouari Bounoua, Anas Sabri, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101519-101519
Closed Access

A Two-Step Downscaling Model for MODIS Land Surface Temperature Based on Random Forests
Jianguang Wen, Yongjian He, Lihui Yang, et al.
Atmosphere (2025) Vol. 16, Iss. 4, pp. 424-424
Open Access

Revealing the impact of urban land use patterns on land surface temperature through graph attention networks
Hongbin Xu, Siyi Zhang, Chong Wu
Sustainable Cities and Society (2025), pp. 106369-106369
Closed Access

Accounting for Almond Crop Water Use under Different Irrigation Regimes with a Two-Source Energy Balance Model and Copernicus-Based Inputs
Christian Jofre-Ĉekalović, Héctor Nieto, J. Girona, et al.
Remote Sensing (2022) Vol. 14, Iss. 9, pp. 2106-2106
Open Access | Times Cited: 16

Improving Spatial Resolution of GRACE-Derived Water Storage Changes Based on Geographically Weighted Regression Downscaled Model
Zhiwei Chen, Wei Zheng, Wenjie Yin, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 4261-4275
Open Access | Times Cited: 9

Intercomparison of Machine Learning Models for Spatial Downscaling of Daily Mean Temperature in Complex Terrain
Sudheer Bhakare, Sara Dal Gesso, Marco Venturini, et al.
Atmosphere (2024) Vol. 15, Iss. 9, pp. 1085-1085
Open Access | Times Cited: 3

Long-term precipitation prediction in different climate divisions of California using remotely sensed data and machine learning
Shabnam Majnooni, Mohammad Reza Nikoo, Banafsheh Nematollahi, et al.
Hydrological Sciences Journal (2023) Vol. 68, Iss. 14, pp. 1984-2008
Open Access | Times Cited: 8

Estimation of land surface temperature from AMSR2 microwave brightness temperature using machine learning methods
Wenjing Han, Si‐Bo Duan, Haijing Tian, et al.
International Journal of Remote Sensing (2023) Vol. 45, Iss. 19-20, pp. 7212-7233
Closed Access | Times Cited: 7

A GENERIC MACHINE LEARNING-BASED FRAMEWORK FOR PREDICTIVE MODELING OF LAND SURFACE TEMPERATURE
Nyenshu Seb Rengma, Manish Kumar Yadav
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2023) Vol. XLVIII-4/W2-2022, pp. 95-102
Open Access | Times Cited: 5

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