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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:

Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review
Mohammadreza Sheykhmousa, Masoud Mahdianpari, Hamid Ghanbari, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 13, pp. 6308-6325
Open Access | Times Cited: 725

Showing 1-25 of 725 citing articles:

A Review of Ensemble Learning Algorithms Used in Remote Sensing Applications
Yuzhen Zhang, Jingjing Liu, Wenjuan Shen
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8654-8654
Open Access | Times Cited: 183
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: 145
Effect of Attention Mechanism in Deep Learning-Based Remote Sensing Image Processing: A Systematic Literature Review
Saman Ghaffarian, João Valente, Mariska van der Voort, et al.
Remote Sensing (2021) Vol. 13, Iss. 15, pp. 2965-2965
Open Access | Times Cited: 130
Application of the Random Forest Classifier to Map Irrigated Areas Using Google Earth Engine
James Magidi, Luxon Nhamo, Sylvester Mpandeli, et al.
Remote Sensing (2021) Vol. 13, Iss. 5, pp. 876-876
Open Access | Times Cited: 121
Vegetation Mapping with Random Forest Using Sentinel 2 and GLCM Texture Feature—A Case Study for Lousã Region, Portugal
Pegah Mohammadpour, D. X. Viegas, Carlos Viegas
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4585-4585
Open Access | Times Cited: 71
A Review of Practical AI for Remote Sensing in Earth Sciences
Bhargavi Janga, Gokul Prathin Asamani, Ziheng Sun, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4112-4112
Open Access | Times Cited: 62
Assessing Chilgoza Pine (Pinus gerardiana) forest fire severity: Remote sensing analysis, correlations, and predictive modeling for enhanced management strategies
Kaleem Mehmood, Shoaib Ahmad Anees, Mi Luo, et al.
Trees Forests and People (2024) Vol. 16, pp. 100521-100521
Open Access | Times Cited: 36
Remote sensing image classification using an ensemble framework without multiple classifiers
Peng Dou, Chunlin Huang, Weixiao Han, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 208, pp. 190-209
Closed Access | Times Cited: 20
Comparison of Support Vector Machines and Random Forests for Corine Land Cover Mapping
Anca Dabija, Marcin Kluczek, Bogdan Zagajewski, et al.
Remote Sensing (2021) Vol. 13, Iss. 4, pp. 777-777
Open Access | Times Cited: 69
Improving Potato Yield Prediction by Combining Cultivar Information and UAV Remote Sensing Data Using Machine Learning
Dan Li, Yuxin Miao, Sanjay Gupta, et al.
Remote Sensing (2021) Vol. 13, Iss. 16, pp. 3322-3322
Open Access | Times Cited: 64
A Meta-Analysis on Harmful Algal Bloom (HAB) Detection and Monitoring: A Remote Sensing Perspective
Rabia Munsaf Khan, Bahram Salehi, Masoud Mahdianpari, et al.
Remote Sensing (2021) Vol. 13, Iss. 21, pp. 4347-4347
Open Access | Times Cited: 61
Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification Using Sentinel-1, Sentinel-2, and LiDAR Data
Ali Jamali, Masoud Mahdianpari
Remote Sensing (2022) Vol. 14, Iss. 2, pp. 359-359
Open Access | Times Cited: 53
Landslide Susceptibility Prediction Considering Neighborhood Characteristics of Landslide Spatial Datasets and Hydrological Slope Units Using Remote Sensing and GIS Technologies
Faming Huang, Siyu Tao, Deying Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4436-4436
Open Access | Times Cited: 50
Designing a European-Wide Crop Type Mapping Approach Based on Machine Learning Algorithms Using LUCAS Field Survey and Sentinel-2 Data
Babak Ghassemi, Aleksandar Dujakovic, Mateusz Żółtak, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 541-541
Open Access | Times Cited: 46
Change detection-based co-seismic landslide mapping through extended morphological profiles and ensemble strategy
Xin Wang, Xuanmei Fan, Qiang Xu, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 187, pp. 225-239
Closed Access | Times Cited: 46
UAV Multispectral Image-Based Urban River Water Quality Monitoring Using Stacked Ensemble Machine Learning Algorithms—A Case Study of the Zhanghe River, China
Yi Xiao, Yahui Guo, Guodong Yin, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3272-3272
Open Access | Times Cited: 46
Using Artificial Intelligence for Space Challenges: A Survey
Antonia Russo, Gianluca Lax
Applied Sciences (2022) Vol. 12, Iss. 10, pp. 5106-5106
Open Access | Times Cited: 44
Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks
Ayesha Siddiqua Dina, A. B. Siddique, D. Manivannan
IEEE Access (2022) Vol. 10, pp. 96731-96747
Open Access | Times Cited: 43
Mapping tree species composition in a Caspian temperate mixed forest based on spectral-temporal metrics and machine learning
Vahid Nasiri, Mirela Beloiu, Ali Asghar Darvishsefat, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 116, pp. 103154-103154
Open Access | Times Cited: 43
Land use and land cover change and its impact on river morphology in Johor River Basin, Malaysia
Chuen Siang Kang, Kasturi Devi Kanniah
Journal of Hydrology Regional Studies (2022) Vol. 41, pp. 101072-101072
Open Access | Times Cited: 42
A new phenology-based method for mapping wheat and barley using time-series of Sentinel-2 images
Davoud Ashourloo, Hamed Nematollahi, Alfredo Huete, et al.
Remote Sensing of Environment (2022) Vol. 280, pp. 113206-113206
Closed Access | Times Cited: 41
Support vector machine versus convolutional neural network for hyperspectral image classification: A systematic review
Ajay Kaul, Sneha Raina
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 15
Closed Access | Times Cited: 38
Evaluating capabilities of machine learning algorithms for aquatic vegetation classification in temperate wetlands using multi-temporal Sentinel-2 data
Erika Piaser, Paolo Villa
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 117, pp. 103202-103202
Open Access | Times Cited: 27
Coupling of deep learning and remote sensing: a comprehensive systematic literature review
Muhammad Yasir, Jianhua Wan, Shanwei Liu, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 1, pp. 157-193
Closed Access | Times Cited: 26
Multiattention Joint Convolution Feature Representation With Lightweight Transformer for Hyperspectral Image Classification
Yu Ming Victor Fang, Qiaolin Ye, Le Sun, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-14
Closed Access | Times Cited: 26
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