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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:

Downscaling MODIS land surface temperature over a heterogeneous area: An investigation of machine learning techniques, feature selection, and impacts of mixed pixels
Hamid Ebrahimy, Mohsen Azadbakht
Computers & Geosciences (2019) Vol. 124, pp. 93-102
Closed Access | Times Cited: 93

Showing 1-25 of 93 citing articles:

Application of gradient boosting regression model for the evaluation of feature selection techniques in improving reservoir characterisation predictions
Daniel Asante Otchere, Tarek Ganat, Jude Oghenerurie Ojero, et al.
Journal of Petroleum Science and Engineering (2021) Vol. 208, pp. 109244-109244
Closed Access | Times Cited: 143
Modelling reference evapotranspiration by combining neuro-fuzzy and evolutionary strategies
Meysam Alizamir, Özgür Kişi, Rana Muhammad Adnan, et al.
Acta Geophysica (2020) Vol. 68, Iss. 4, pp. 1113-1126
Closed Access | Times Cited: 89
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
A SYSTEMATIC LITERATURE REVIEW: RECURSIVE FEATURE ELIMINATION ALGORITHMS
Arif Mudi Priyatno, Triyanna Widiyaningtyas
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) (2024) Vol. 9, Iss. 2, pp. 196-207
Open Access | Times Cited: 16
A novel surface energy balance-based approach to land surface temperature downscaling
Mohammad Karimi Firozjaei, Naeim Mijani, Majid Kiavarz, et al.
Remote Sensing of Environment (2024) Vol. 305, pp. 114087-114087
Closed Access | Times Cited: 15
Downscaling MODIS Land Surface Temperature Product Using an Adaptive Random Forest Regression Method and Google Earth Engine for a 19-Years Spatiotemporal Trend Analysis Over Iran
Hamid Ebrahimy, Hossein Aghighi, Mohsen Azadbakht, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 2103-2112
Open Access | Times Cited: 56
A comparative study of land subsidence susceptibility mapping of Tasuj plane, Iran, using boosted regression tree, random forest and classification and regression tree methods
Hamid Ebrahimy, Bakhtiar Feizizadeh, Saeed Salmani, et al.
Environmental Earth Sciences (2020) Vol. 79, Iss. 10
Closed Access | Times Cited: 55
Random forests-based error-correction of streamflow from a large-scale hydrological model: Using model state variables to estimate error terms
Youchen Shen, Jessica Ruijsch, Meng Lü, et al.
Computers & Geosciences (2021) Vol. 159, pp. 105019-105019
Open Access | Times Cited: 55
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
Resolution Enhancement of Remotely Sensed Land Surface Temperature: Current Status and Perspectives
Qi Mao, Jian Peng, Yanglin Wang
Remote Sensing (2021) Vol. 13, Iss. 7, pp. 1306-1306
Open Access | Times Cited: 44
Effect of environmental covariable selection in the hydrological modeling using machine learning models to predict daily streamflow
Guilherme Barbosa Reis, Demétrius David da Silva, Elpídio Inácio Fernandes Filho, et al.
Journal of Environmental Management (2021) Vol. 290, pp. 112625-112625
Closed Access | Times Cited: 44
Modelling agricultural drought: a review of latest advances in big data technologies
Ismaguil Hanadé Houmma, Loubna El Mansouri, Sébastien Gadal, et al.
Geomatics Natural Hazards and Risk (2022) Vol. 13, Iss. 1, pp. 2737-2776
Open Access | Times Cited: 29
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
High-resolution Standardized Precipitation Evapotranspiration Index (SPEI) reveals trends in drought and vegetation water availability in China
Qian He, Ming Wang, Kai Liu, et al.
Geography and sustainability (2024)
Open Access | Times Cited: 7
Modeling the impact of the COVID-19 lockdowns on urban surface ecological status: A case study of Milan and Wuhan cities
Mohammad Karimi Firozjaei, Solmaz Fathololomi, Majid Kiavarz, et al.
Journal of Environmental Management (2021) Vol. 286, pp. 112236-112236
Open Access | Times Cited: 40
Downscaling MODIS nighttime land surface temperatures in urban areas using ASTER thermal data through local linear forest
Cheolhee Yoo, Jungho Im, Dongjin Cho, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 110, pp. 102827-102827
Open Access | Times Cited: 28
Towards a combined Landsat-8 and Sentinel-2 for 10-m land surface temperature products: The Google Earth Engine monthly Ten-ST-GEE system
Yaser Abunnasr, Mario Mhawej
Environmental Modelling & Software (2022) Vol. 155, pp. 105456-105456
Closed Access | Times Cited: 27
SMPD: a soil moisture-based precipitation downscaling method for high-resolution daily satellite precipitation estimation
Kunlong He, Wei Zhao, Luca Brocca, et al.
Hydrology and earth system sciences (2023) Vol. 27, Iss. 1, pp. 169-190
Open Access | Times Cited: 15
Application of machine learning models to predict cytotoxicity of ionic liquids using VolSurf principal properties
Grace Amabel Tabaaza, Bennet Nii Tackie-Otoo, Dzulkarnain Zaini, et al.
Computational Toxicology (2023) Vol. 26, pp. 100266-100266
Closed Access | Times Cited: 15
Machine learning assisted prediction of land surface temperature (LST) based on major air pollutants over the Annamayya District of India
Jagadish Kumar Mogaraju
International Journal of Engineering and Geosciences (2024) Vol. 9, Iss. 2, pp. 233-246
Open Access | Times Cited: 5
Downscaling Aster Land Surface Temperature over Urban Areas with Machine Learning-Based Area-To-Point Regression Kriging
Jianhui Xu, Feifei Zhang, Hao Jiang, et al.
Remote Sensing (2020) Vol. 12, Iss. 7, pp. 1082-1082
Open Access | Times Cited: 38
Global comparison of diverse scaling factors and regression models for downscaling Landsat-8 thermal data
Pan Dong, Lun Gao, Wenfeng Zhan, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 169, pp. 44-56
Closed Access | Times Cited: 34
Downscale MODIS Land Surface Temperature Based on Three Different Models to Analyze Surface Urban Heat Island: A Case Study of Hangzhou
Rui Wang, Weijun Gao, Wangchongyu Peng
Remote Sensing (2020) Vol. 12, Iss. 13, pp. 2134-2134
Open Access | Times Cited: 33
Development of a 250-m Downscaled Land Surface Temperature Data Set and its Application to Improving Remotely Sensed Evapotranspiration Over Large Landscapes in Northern China
Kai Liu, Hongbo Su, Xueke Li, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 60, pp. 1-12
Closed Access | Times Cited: 31
Spatiotemporal analysis of land surface temperature using multi-temporal and multi-sensor image fusion techniques
Keyvan Ezimand, M. Chahardoli, Mohsen Azadbakht, et al.
Sustainable Cities and Society (2020) Vol. 64, pp. 102508-102508
Closed Access | Times Cited: 28
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