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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:

Cloud Approach to Automated Crop Classification Using Sentinel-1 Imagery
Andrii Shelestov, Mykola Lavreniuk, Vladimir Vasiliev, et al.
IEEE Transactions on Big Data (2019) Vol. 6, Iss. 3, pp. 572-582
Closed Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

Machine Learning in Agriculture: A Comprehensive Updated Review
Lefteris Benos, Aristotelis C. Tagarakis, Georgios Dolias, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3758-3758
Open Access | Times Cited: 511
Challenges to Use Machine Learning in Agricultural Big Data: A Systematic Literature Review
Ania Cravero, Sebastián Pardo, Samuel Sepúlveda, et al.
Agronomy (2022) Vol. 12, Iss. 3, pp. 748-748
Open Access | Times Cited: 81
Quantifying war-induced crop losses in Ukraine in near real time to strengthen local and global food security
Klaus Deininger, Daniel Ayalew Ali, Nataliia Kussul, et al.
Food Policy (2023) Vol. 115, pp. 102418-102418
Open Access | Times Cited: 51
Use and Adaptations of Machine Learning in Big Data—Applications in Real Cases in Agriculture
Ania Cravero, Samuel Sepúlveda
Electronics (2021) Vol. 10, Iss. 5, pp. 552-552
Open Access | Times Cited: 88
Performance and the Optimal Integration of Sentinel-1/2 Time-Series Features for Crop Classification in Northern Mongolia
Battsetseg Tuvdendorj, Hongwei Zeng, Bingfang Wu, et al.
Remote Sensing (2022) Vol. 14, Iss. 8, pp. 1830-1830
Open Access | Times Cited: 34
Challenges to Use Machine Learning in Agricultural Big Data: A Systematic Literature Review
Ania Cravero, Sebastián Pardo, Samuel Sepúlveda, et al.
(2022)
Open Access | Times Cited: 33
Analysis of Consumer Behaviour in the Context of the Place of Purchasing Food Products with Particular Emphasis on Local Products
Agnieszka Dudziak, Monika Stoma, Emilia Osmólska
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 3, pp. 2413-2413
Open Access | Times Cited: 16
Biophysical Impact of Sunflower Crop Rotation on Agricultural Fields
Nataliia Kussul, Klaus Deininger, Leonid Shumilo, et al.
Sustainability (2022) Vol. 14, Iss. 7, pp. 3965-3965
Open Access | Times Cited: 23
Fine-resolution mapping of the circumpolar Arctic Man-made impervious areas (CAMI) using sentinels, OpenStreetMap and ArcticDEM
Xiaoqing Xu, Chong Liu, Caixia Liu, et al.
Big Earth Data (2022) Vol. 6, Iss. 2, pp. 196-218
Open Access | Times Cited: 21
Potential of Satellite-Airborne Sensing Technologies for Agriculture 4.0 and Climate-Resilient: A Review
Asa Ibnu Hazmy, Ammar Hawbani, Xingfu Wang, et al.
IEEE Sensors Journal (2023) Vol. 24, Iss. 4, pp. 4161-4180
Open Access | Times Cited: 11
Cotton crop classification using satellite images with score level fusion based hybrid model
Amandeep Kaur, Geetanjali Singla, Manjinder Singh, et al.
Pattern Analysis and Applications (2024) Vol. 27, Iss. 2
Closed Access | Times Cited: 4
Advanced Pollutions’ Monitoring in the Mediterranean Sea: AI-Based Approach Using Satellite Data and Products
Andrii Shelestov, Pavlo Henitsoi, Bohdan Yailymov, et al.
Lecture notes in networks and systems (2025), pp. 605-631
Closed Access
Monitoring Cropland Abandonment in Hilly Areas with Sentinel-1 and Sentinel-2 Timeseries
Shan He, Huaiyong Shao, Wei Xian, et al.
Remote Sensing (2022) Vol. 14, Iss. 15, pp. 3806-3806
Open Access | Times Cited: 17
Evaluation of Semantic Segmentation Methods for Land Use with Spectral Imaging Using Sentinel-2 and PNOA Imagery
Oscar D. Pedrayes, Darío G. Lema, Daniel F. García, et al.
Remote Sensing (2021) Vol. 13, Iss. 12, pp. 2292-2292
Open Access | Times Cited: 22
Data Type and Data Sources for Agricultural Big Data and Machine Learning
Ania Cravero, Sebastián Pardo, Patricio Galeas, et al.
Sustainability (2022) Vol. 14, Iss. 23, pp. 16131-16131
Open Access | Times Cited: 15
Impacts of a mandatory shift to decentralized online auctions on revenue from public land leases in Ukraine
Klaus Deininger, Daniel Ayalew Ali, Roman Neyter
Journal of Economic Behavior & Organization (2023) Vol. 213, pp. 432-450
Closed Access | Times Cited: 7
Design of a High-Efficiency Temporal Engine for Real-Time Spatial Satellite Image Classification Using Augmented Incremental Transfer Learning for Crop Analysis
Akshay Dhande, Rahul Malik, Dipen Saini, et al.
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access | Times Cited: 2
Comparison of Long Short-Term Memory Networks and Random Forest for Sentinel-1 Time Series Based Large Scale Crop Classification
Felix Reuß, Isabella Pfeil, Mariëtte Vreugdenhil, et al.
Remote Sensing (2021) Vol. 13, Iss. 24, pp. 5000-5000
Open Access | Times Cited: 17
Phenological normalization can improve in-season classification of maize and soybean: A case study in the central US Corn Belt
Hannah Kerner, Ritvik Sahajpal, Dhruv Pai, et al.
Science of Remote Sensing (2022) Vol. 6, pp. 100059-100059
Closed Access | Times Cited: 12
Agricultural SandboxNL: A national-scale database of parcel-level processed Sentinel-1 SAR data
Vineet Kumar, Manuel Huber, Björn Rommen, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 12
Assessing damage to agricultural fields from military actions in Ukraine: An integrated approach using statistical indicators and machine learning
Nataliia Kussul, Sofiia Drozd, Hanna Yailymova, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 125, pp. 103562-103562
Open Access | Times Cited: 6
Air Quality Estimation in Ukraine Using SDG 11.6.2 Indicator Assessment
Andrii Shelestov, Hanna Yailymova, Bohdan Yailymov, et al.
Remote Sensing (2021) Vol. 13, Iss. 23, pp. 4769-4769
Open Access | Times Cited: 12
Google Earth Engine Framework for Satellite Data-Driven Wildfire Monitoring in Ukraine
Bohdan Yailymov, Andrii Shelestov, Hanna Yailymova, et al.
Fire (2023) Vol. 6, Iss. 11, pp. 411-411
Open Access | Times Cited: 4
Bi-stage feature selection for crop mapping using grey wolf metaheuristic optimization
Marwa S. Moustafa, Amira S. Mahmoud, Eslam Farg, et al.
Advances in Space Research (2024) Vol. 73, Iss. 10, pp. 5005-5016
Closed Access | Times Cited: 1
Crop monitoring technology based on time series of satellite imagery
Nataliia Kussul, Andrii Shelestov, Bohdan Yailymov, et al.
2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies (DESSERT) (2020), pp. 346-350
Closed Access | Times Cited: 10
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