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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:

Estimating smallholder crops production at village level from Sentinel-2 time series in Mali's cotton belt
Marie-Julie Lambert, Pierre Traoré, Xavier Blaes, et al.
Remote Sensing of Environment (2018) Vol. 216, pp. 647-657
Open Access | Times Cited: 187

Showing 1-25 of 187 citing articles:

Sentinel-2 Data for Land Cover/Use Mapping: A Review
Darius Phiri, Matamyo Simwanda, Serajis Salekin, et al.
Remote Sensing (2020) Vol. 12, Iss. 14, pp. 2291-2291
Open Access | Times Cited: 588
Land Cover Classification using Google Earth Engine and Random Forest Classifier—The Role of Image Composition
Thanh Noi Phan, Verena Kuch, Lukas Lehnert
Remote Sensing (2020) Vol. 12, Iss. 15, pp. 2411-2411
Open Access | Times Cited: 448
Remote sensing for drought monitoring & impact assessment: Progress, past challenges and future opportunities
Harry West, Nevil Quinn, Michael Horswell
Remote Sensing of Environment (2019) Vol. 232, pp. 111291-111291
Closed Access | Times Cited: 395
Remote Sensing for Precision Agriculture: Sentinel-2 Improved Features and Applications
Joel Segarra, Ma. Luisa Buchaillot, J. L. Araus, et al.
Agronomy (2020) Vol. 10, Iss. 5, pp. 641-641
Open Access | Times Cited: 355
Smallholder maize area and yield mapping at national scales with Google Earth Engine
Zhenong Jin, George Azzari, Calum You, et al.
Remote Sensing of Environment (2019) Vol. 228, pp. 115-128
Open Access | Times Cited: 308
Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review
Michel Eustáquio Dantas Chaves, Michelle Cristina Araújo Picoli, Ieda Del’Arco Sanches
Remote Sensing (2020) Vol. 12, Iss. 18, pp. 3062-3062
Open Access | Times Cited: 259
A Comprehensive Review of Crop Yield Prediction Using Machine Learning Approaches With Special Emphasis on Palm Oil Yield Prediction
Mamunur Rashid, Bifta Sama Bari, Yusri Yusup, et al.
IEEE Access (2021) Vol. 9, pp. 63406-63439
Open Access | Times Cited: 213
Predicting Wheat Yield at the Field Scale by Combining High-Resolution Sentinel-2 Satellite Imagery and Crop Modelling
Yan Zhao, Andries Potgieter, Miao Zhang, et al.
Remote Sensing (2020) Vol. 12, Iss. 6, pp. 1024-1024
Open Access | Times Cited: 143
Toward agricultural cultivation parcels extraction in the complex mountainous areas using prior information and deep learning
Jing Zhang, Tianjun Wu, Jiancheng Luo, et al.
IEEE Transactions on Geoscience and Remote Sensing (2025) Vol. 63, pp. 1-14
Closed Access | Times Cited: 2
Self-Supervised Pretraining of Transformers for Satellite Image Time Series Classification
Yuan Yuan, Lei Lin
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 14, pp. 474-487
Open Access | Times Cited: 124
Combining Optical, Fluorescence, Thermal Satellite, and Environmental Data to Predict County-Level Maize Yield in China Using Machine Learning Approaches
Liangliang Zhang, Zhao Zhang, Yuchuan Luo, et al.
Remote Sensing (2019) Vol. 12, Iss. 1, pp. 21-21
Open Access | Times Cited: 117
Evaluation of Sentinel-1 and 2 Time Series for Land Cover Classification of Forest–Agriculture Mosaics in Temperate and Tropical Landscapes
Audrey Mercier, Julie Betbeder, Florent Rumiano, et al.
Remote Sensing (2019) Vol. 11, Iss. 8, pp. 979-979
Open Access | Times Cited: 103
Cotton yield estimation model based on machine learning using time series UAV remote sensing data
Weicheng Xu, Pengchao Chen, Yilong Zhan, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 104, pp. 102511-102511
Open Access | Times Cited: 100
A million kernels of truth: Insights into scalable satellite maize yield mapping and yield gap analysis from an extensive ground dataset in the US Corn Belt
Jillian M. Deines, R. N. Patel, Sang-Zi Liang, et al.
Remote Sensing of Environment (2020) Vol. 253, pp. 112174-112174
Open Access | Times Cited: 96
Crop yield prediction from multi-spectral, multi-temporal remotely sensed imagery using recurrent 3D convolutional neural networks
Mengjia Qiao, Xiaohui He, Xijie Cheng, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102436-102436
Open Access | Times Cited: 96
Object-Based Time-Constrained Dynamic Time Warping Classification of Crops Using Sentinel-2
Ovidiu Csillik, Mariana Belgiu, Gregory P. Asner, et al.
Remote Sensing (2019) Vol. 11, Iss. 10, pp. 1257-1257
Open Access | Times Cited: 93
Sentinel-2 Data in an Evaluation of the Impact of the Disturbances on Forest Vegetation
Josef Laštovička, Pavel Švec, Daniel Paluba, et al.
Remote Sensing (2020) Vol. 12, Iss. 12, pp. 1914-1914
Open Access | Times Cited: 90
Winter Wheat Yield Assessment from Landsat 8 and Sentinel-2 Data: Incorporating Surface Reflectance, Through Phenological Fitting, into Regression Yield Models
Sergii Skakun, Éric Vermote, B. Franch, et al.
Remote Sensing (2019) Vol. 11, Iss. 15, pp. 1768-1768
Open Access | Times Cited: 86
A robust spectral-spatial approach to identifying heterogeneous crops using remote sensing imagery with high spectral and spatial resolutions
Ji Zhao, Yanfei Zhong, Xin Hu, et al.
Remote Sensing of Environment (2020) Vol. 239, pp. 111605-111605
Closed Access | Times Cited: 86
Cotton Classification Method at the County Scale Based on Multi-Features and Random Forest Feature Selection Algorithm and Classifier
Fei Hao, Zehua Fan, Chengkun Wang, et al.
Remote Sensing (2022) Vol. 14, Iss. 4, pp. 829-829
Open Access | Times Cited: 65
Machine Learning in Precision Agriculture: A Survey on Trends, Applications and Evaluations Over Two Decades
Sarah Condran, Michael Bewong, Md Zahidul Islam, et al.
IEEE Access (2022) Vol. 10, pp. 73786-73803
Open Access | Times Cited: 62
Mapping Crop Types and Cropping Systems in Nigeria with Sentinel-2 Imagery
Esther Shupel Ibrahim, Philippe Rufin, Leon Nill, et al.
Remote Sensing (2021) Vol. 13, Iss. 17, pp. 3523-3523
Open Access | Times Cited: 60
Improving the Accuracy of Multiple Algorithms for Crop Classification by Integrating Sentinel-1 Observations with Sentinel-2 Data
Amal Chakhar, David Hernández‐López, Rocío Ballesteros, et al.
Remote Sensing (2021) Vol. 13, Iss. 2, pp. 243-243
Open Access | Times Cited: 58
A Dual Attention Convolutional Neural Network for Crop Classification Using Time-Series Sentinel-2 Imagery
Seyd Teymoor Seydi, Meisam Amani, Arsalan Ghorbanian
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 498-498
Open Access | Times Cited: 52
Farming and Earth Observation: Sentinel-2 data to estimate within-field wheat grain yield
Joel Segarra, J. L. Araus, Shawn C. Kefauver
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 107, pp. 102697-102697
Open Access | Times Cited: 49
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