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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:

A Hybrid Data Balancing Method for Classification of Imbalanced Training Data within Google Earth Engine: Case Studies from Mountainous Regions
Amin Naboureh, Ainong Li, Jinhu Bian, et al.
Remote Sensing (2020) Vol. 12, Iss. 20, pp. 3301-3301
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review
Liping Yang, Joshua Driscol, Sarigai Sarigai, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3253-3253
Open Access | Times Cited: 146
Flooding and its relationship with land cover change, population growth, and road density
Mahfuzur Rahman, Chen Ningsheng, Golam Iftekhar Mahmud, et al.
Geoscience Frontiers (2021) Vol. 12, Iss. 6, pp. 101224-101224
Open Access | Times Cited: 142
Mangrove Ecosystem Mapping Using Sentinel-1 and Sentinel-2 Satellite Images and Random Forest Algorithm in Google Earth Engine
Arsalan Ghorbanian, Soheil Zaghian, Reza Mohammadi Asiyabi, et al.
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2565-2565
Open Access | Times Cited: 125
Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks
Jovan Kalajdjieski, Eftim Zdravevski, Roberto Corizzo, et al.
Remote Sensing (2020) Vol. 12, Iss. 24, pp. 4142-4142
Open Access | Times Cited: 86
Application of Google Earth Engine Cloud Computing Platform, Sentinel Imagery, and Neural Networks for Crop Mapping in Canada
Meisam Amani, Mohammad Kakooei, Armin Moghimi, et al.
Remote Sensing (2020) Vol. 12, Iss. 21, pp. 3561-3561
Open Access | Times Cited: 82
Development of flood hazard map and emergency relief operation system using hydrodynamic modeling and machine learning algorithm
Mahfuzur Rahman, Ningsheng Chen, Md Monirul Islam, et al.
Journal of Cleaner Production (2021) Vol. 311, pp. 127594-127594
Closed Access | Times Cited: 57
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: 46
Training data in satellite image classification for land cover mapping: a review
Daniel Moraes, Manuel L. Campagnolo, Mário Caetano
European Journal of Remote Sensing (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 6
Application of Artificial Neural Networks for Mangrove Mapping Using Multi-Temporal and Multi-Source Remote Sensing Imagery
Arsalan Ghorbanian, Seyed Ali Ahmadi, Meisam Amani, et al.
Water (2022) Vol. 14, Iss. 2, pp. 244-244
Open Access | Times Cited: 26
Exploring the Effect of Balanced and Imbalanced Multi-Class Distribution Data and Sampling Techniques on Fruit-Tree Crop Classification Using Different Machine Learning Classifiers
Yingisani Chabalala, Elhadi Adam, Khalid Adem Ali
Geomatics (2023) Vol. 3, Iss. 1, pp. 70-92
Open Access | Times Cited: 13
Cascade DeepLab Net: A Method for Accurate Extraction of Fragmented Cultivated Land in Mountainous Areas Based on a Cascaded Network
Man Li, Renru Wang, Ana Dai, et al.
Agriculture (2025) Vol. 15, Iss. 3, pp. 348-348
Open Access
Evaluation of similarity-checking methods for reference samples migration to monitor land cover changes in the complex terrain of the Alborz Mountains, Iran
Meysam Moharrami, Sara Attarchi, Richard Gloaguen, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
A review of land use/land cover change mapping in the China-Central Asia-West Asia economic corridor countries
Amin Naboureh, Jinhu Bian, Guangbin Lei, et al.
Big Earth Data (2020) Vol. 5, Iss. 2, pp. 237-257
Open Access | Times Cited: 37
Assessing the effects of irrigated agricultural expansions on Lake Urmia using multi-decadal Landsat imagery and a sample migration technique within Google Earth Engine
Amin Naboureh, Ainong Li, Hamid Ebrahimy, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 105, pp. 102607-102607
Open Access | Times Cited: 28
National Scale Land Cover Classification Using the Semiautomatic High-Quality Reference Sample Generation (HRSG) Method and an Adaptive Supervised Classification Scheme
Amin Naboureh, Ainong Li, Jinhu Bian, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 1858-1870
Open Access | Times Cited: 12
Sample imbalance remote sensing small target detection based on discriminative feature learning and imbalanced feature semantic enrichment
Yiyao An, Yudong Sun, Yuanyuan Li, et al.
Expert Systems with Applications (2025), pp. 126753-126753
Closed Access
A framework base on deep neural network (DNN) for land use land cover (LULC) and rice crop classification without using survey data
Mamoon Ur Rasheed, Syed Amer Mahmood
Climate Dynamics (2023) Vol. 61, Iss. 11-12, pp. 5629-5652
Closed Access | Times Cited: 9
Wetland Mapping in Great Lakes Using Sentinel-1/2 Time-Series Imagery and DEM Data in Google Earth Engine
Farzane Mohseni, Meisam Amani, Pegah Mohammadpour, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3495-3495
Open Access | Times Cited: 9
Modeling Geospatial Distribution of Peat Layer Thickness Using Machine Learning and Aerial Laser Scanning Data
Jānis Ivanovs, Andreas Haberl, Raitis Meļņiks
Land (2024) Vol. 13, Iss. 4, pp. 466-466
Open Access | Times Cited: 3
A Simple and Automatic Method for Detecting Large-Scale Land Cover Changes Without Training Data
Guangbin Lei, Ainong Li, Jinhu Bian, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 7276-7292
Open Access | Times Cited: 7
A novel space–spectrum array tile probability random-forest model enhances LULC mapping accuracy on Google Earth Engine: An experiment in Ordos, China
Fuchen Guo, Liangxin Fan, Chengkang Zhang, et al.
Ecological Informatics (2024) Vol. 81, pp. 102607-102607
Open Access | Times Cited: 2
Integrating Optical and SAR Time Series Images for Unsupervised Domain Adaptive Crop Mapping
Luwei Feng, Dawei Gui, Shanshan Han, et al.
Remote Sensing (2024) Vol. 16, Iss. 8, pp. 1464-1464
Open Access | Times Cited: 2
Spatial Tools for Inclusive Landscape Governance: Negotiating Land Use, Land-Cover Change, and Future Landscape Scenarios in Two Multistakeholder Platforms in Zambia
Freddie S. Siangulube, Mirjam Ros-Tonen, James Reed, et al.
Land (2023) Vol. 12, Iss. 4, pp. 804-804
Open Access | Times Cited: 4
Rice phenology monitoring via ensemble classification for an extremely imbalanced multiclass dataset of hybrid remote sensing
Yenni Kurniawati, Hari Wijayanto, Anang Kurnia, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 35, pp. 101246-101246
Closed Access | Times Cited: 1
Enhanced Mapping for Ecosystem Management: Evaluating the Accuracy of Sentinel-1 and Sentinel-2 Data Fusion Compared to Sole Sentinel-2 Using Random Forest Classification
Sajib Sarker, Xin Wang, Abul Kalam Azad
(2024)
Open Access | Times Cited: 1
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