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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:

National-Scale Cropland Mapping Based on Phenological Metrics, Environmental Covariates, and Machine Learning on Google Earth Engine
Abdelaziz Htitiou, Abdelghani Boudhar, Abdelghani Chehbouni, et al.
Remote Sensing (2021) Vol. 13, Iss. 21, pp. 4378-4378
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Land Use and Land Cover Mapping Using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A Comparison of Two Composition Methods
Vahid Nasiri, Azade Deljouei, Fardin Moradi, et al.
Remote Sensing (2022) Vol. 14, Iss. 9, pp. 1977-1977
Open Access | Times Cited: 147
Mapping crop type in Northeast China during 2013–2021 using automatic sampling and tile-based image classification
Xuan Fu, Yi Dong, Jiayu Li, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 117, pp. 103178-103178
Open Access | Times Cited: 81
What is going on within google earth engine? A systematic review and meta-analysis
Pedro Pérez‐Cutillas, Alberto Pérez-Navarro, Carmelo Conesa García, et al.
Remote Sensing Applications Society and Environment (2022) Vol. 29, pp. 100907-100907
Open Access | Times Cited: 65
Crop mapping using supervised machine learning and deep learning: a systematic literature review
Mouad Alami Machichi, Loubna El Mansouri, Yasmina Imani, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 8, pp. 2717-2753
Open Access | Times Cited: 26
Assessment of Soil Suitability Using Machine Learning in Arid and Semi-Arid Regions
Maryem Ismaili, Samira Krimissa, Mustapha Namous, et al.
Agronomy (2023) Vol. 13, Iss. 1, pp. 165-165
Open Access | Times Cited: 24
Mapping upland crop–rice cropping systems for targeted sustainable intensification in South China
Bingwen Qiu, Linhai Yu, Peng Yang, et al.
The Crop Journal (2024) Vol. 12, Iss. 2, pp. 614-629
Open Access | Times Cited: 9
Optimizing Crop Yield Estimation through Geospatial Technology: A Comparative Analysis of a Semi-Physical Model, Crop Simulation, and Machine Learning Algorithms
Murali Krishna Gumma, Ramavenkata Mahesh Nukala, Pranay Panjala, et al.
AgriEngineering (2024) Vol. 6, Iss. 1, pp. 786-802
Open Access | Times Cited: 6
Mapping and predicting cassava mosaic disease outbreaks using earth observation and meteorological data-driven approaches
Akkarapon Chaiyana, Noppadon Khiripet, Sarawut Ninsawat, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 35, pp. 101231-101231
Closed Access | Times Cited: 4
Hierarchical extraction of cropland boundaries using Sentinel-2 time-series data in fragmented agricultural landscapes
Wenyao Song, Chen Wang, Taifeng Dong, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108097-108097
Closed Access | Times Cited: 11
The Potential of Google Earth Engine as Decision Support for Agricultural and Forestry Planning Policies in Latin America and the Caribbean: A Meta-Analysis and Systematic Review
Andrés Felipe Ríos Mesa, Juan Carlos Palacio Piedrahíta, Jhon Wilder Zartha Sossa, et al.
Journal of Sustainable Forestry (2025), pp. 1-30
Closed Access
Innovation of dynamic management model for teaching resources of business administration in cloud computing environment
Wenle Li, LI Wen-jun
Journal of Computational Methods in Sciences and Engineering (2025)
Closed Access
Assessing hydrological erosion estimation using the Revised Universal Soil Loss Equation (RUSLE) model in Google Earth Engine: a case study of Medjerda River Catchment, Tunisia
Mouna Cherif, Salwa Saidi, Ahmed Ezzine, et al.
Euro-Mediterranean Journal for Environmental Integration (2025)
Closed Access
Mapping drought severity impact on arboriculture systems over Tadla and lower Tassaout plains in Morocco using Sentinel-2 data and machine learning approaches
Sabir Oussaoui, Abdelghani Boudhar, Abdessamad Hadri, et al.
Geocarto International (2025) Vol. 40, Iss. 1
Open Access
Machine Learning and Food Security: Insights for Agricultural Spatial Planning in the Context of Agriculture 4.0
Vítor João Pereira Domingues Martinho, Carlos Cunha, Maria Lúcia Pato, et al.
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11828-11828
Open Access | Times Cited: 16
A method for robust estimation of snow seasonality metrics from Landsat and Sentinel-2 time series data over Atlas Mountains scale using Google Earth Engine
youssra El jabiri, Abdelghani Boudhar, Abdelaziz Htitiou, et al.
Geocarto International (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 3
Use of Optical and Radar Imagery for Crop Type Classification in Africa: A Review
Maryam Choukri, Ahmed Laamrani, Abdelghani Chehbouni
Sensors (2024) Vol. 24, Iss. 11, pp. 3618-3618
Open Access | Times Cited: 3
Spatial Variability Assessment on Staple Crop Yields in Hisar District of Haryana, India Using GIS and Remote Sensing
Sube Banerjee, Om Pal, Tauseef Ahmad, et al.
Revue internationale de géomatique (2025) Vol. 34, Iss. 1, pp. 89-106
Closed Access
Quantifying the Impacts of the 2020 Flood on Crop Production and Food Security in the Middle Reaches of the Yangtze River, China
Liang-Chen Wang, Duc Vinh Hoang, Yuei‐An Liou
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3140-3140
Open Access | Times Cited: 14
Cropland Extraction in Southern China from Very High-Resolution Images Based on Deep Learning
Dehua Xie, Han Xu, Xiliu Xiong, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2231-2231
Open Access | Times Cited: 8
The contribution of remote sensing and input feature selection for groundwater level prediction using LSTM neural networks in the Oum Er-Rbia Basin, Morocco
Tarik Bouramtane, Marc Leblanc, Ilias Kacimi, et al.
Frontiers in Water (2023) Vol. 5
Open Access | Times Cited: 6
Crop Identification and Analysis in Typical Cultivated Areas of Inner Mongolia with Single-Phase Sentinel-2 Images
Jing Tang, Xiaoyong Zhang, Zhengchao Chen, et al.
Sustainability (2022) Vol. 14, Iss. 19, pp. 12789-12789
Open Access | Times Cited: 9
Applying machine learning classifiers to Sentinel-2 imagery for early identification of cotton fields to advance boll weevil eradication
Chenghai Yang, Charles P.‐C. Suh
Computers and Electronics in Agriculture (2023) Vol. 213, pp. 108268-108268
Closed Access | Times Cited: 5
An integrated approach to obtain high-precision regional root water uptake maps
Yuqi Liu, Jiřı́ Šimůnek, Renkuan Liao
Journal of Hydrology (2024) Vol. 641, pp. 131771-131771
Closed Access | Times Cited: 1
Cloud-Powered Agricultural Mapping: A Revolution Toward 10m Resolution Cropland Data Layers
Zhe Li, Rick Mueller, Zhengwei Yang, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 4081-4084
Closed Access | Times Cited: 1
Revealing Cropping Intensity Dynamics Using High-Resolution Imagery: A Case Study in Shaanxi Province, China
Yadong Liu, Hongmei Li, Lin Zhu, et al.
Remote Sensing (2024) Vol. 16, Iss. 20, pp. 3832-3832
Open Access | Times Cited: 1
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