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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:

Beyond Supervised Learning in Remote Sensing: A Systematic Review of Deep Learning Approaches
Benyamin Hosseiny, Masoud Mahdianpari, Mohammadali Hemati, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 1035-1052
Open Access | Times Cited: 22

Showing 22 citing articles:

National tree species mapping using Sentinel-1/2 time series and German National Forest Inventory data
Lukas Blickensdörfer, Katja Oehmichen, Dirk Pflugmacher, et al.
Remote Sensing of Environment (2024) Vol. 304, pp. 114069-114069
Open Access | Times Cited: 31
Integrating SAR and Optical Data for Aboveground Biomass Estimation of Coastal Wetlands Using Machine Learning: Multi-Scale Approach
Mohammadali Hemati, Masoud Mahdianpari, Hodjat Shiri, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 831-831
Open Access | Times Cited: 10
A Deep Curriculum Learning Semi-Supervised Framework for Remote Sensing Scene Classification
Qing Zhang, Jialu Chen, Baohua Yuan
Applied Sciences (2025) Vol. 15, Iss. 1, pp. 360-360
Open Access | Times Cited: 1
Field-Scale Precision: Predicting Grain Yield of Diverse Wheat Breeding Lines Using High-Throughput UAV Multispectral Imaging
Nisar Ali, Ahmed Mohammed, Abdul Bais, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 11419-11433
Open Access | Times Cited: 5
Characterising the Thematic Content of Image Pixels with Topologically Structured Clustering
Giles M. Foody
Remote Sensing (2025) Vol. 17, Iss. 1, pp. 130-130
Open Access
Nonlinear Waveform Sensing for Cognitive Radar Based on Reinforcement Learning
Peikun Zhu, Xu Si, Jiachen Han, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2025) Vol. 18, pp. 4821-4835
Open Access
Uncertainty Analysis of Remote Sensing Estimation of Chinese Fir (Cunninghamia lanceolata) Aboveground Biomass in Southern China
Yujie Hu, Liyong Fu, Bingsheng Qiu, et al.
Forests (2025) Vol. 16, Iss. 2, pp. 230-230
Open Access
Earth Observation Data for Mangrove Monitoring and Management at the Red Sea Coastline, Egypt
Asmaa H. Mohammed, Mohamed A. Salem, Eslam Farg, et al.
Springer remote sensing/photogrammetry (2025), pp. 145-175
Closed Access
Deep learning processing of remotely sensed multi-spectral images
Rocco Restaino, Alessia Carbone, Gemine Vivone
Elsevier eBooks (2025), pp. 57-85
Closed Access
Advancing Wetland Aboveground Biomass Mapping: Insights from High-Resolution Planetscope Data in the Mississippi River Delta
Mohammadali Hemati, Masoud Mahdianpari, Hodjat Shiri, et al.
(2025)
Closed Access
Integrating unsupervised domain adaptation and SAM technologies for image semantic segmentation: a case study on building extraction from high-resolution remote sensing images
Mengyuan Yang, Rui Yang, Min Wang, et al.
International Journal of Digital Earth (2025) Vol. 18, Iss. 1
Open Access
Joint superpixel and Transformer for high resolution remote sensing image classification
Guangpu Dang, Zhongan Mao, Tingyu Zhang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Aboveground Biomass Inversion Based on Object-Oriented Classification and Pearson–mRMR–Machine Learning Model
Xinyang Chen, Keming Yang, Jun Ma, et al.
Remote Sensing (2024) Vol. 16, Iss. 9, pp. 1537-1537
Open Access | Times Cited: 3
Remote Sensing in Agriculture
Clement Atzberger, Markus Immitzer, Katja Berger
Elsevier eBooks (2024)
Closed Access | Times Cited: 2
Comprehensive Landsat-Based Analysis of Long-Term Surface Water Dynamics over Wetlands and Waterbodies in North America
Mohammadali Hemati, Masoud Mahdianpari, Hodjat Shiri, et al.
Canadian Journal of Remote Sensing (2023) Vol. 50, Iss. 1
Open Access | Times Cited: 5
LWAMNNet: A novel deep learning framework for surface water body extraction from LISS-III satellite images
R. Nagaraj, Lakshmi Sutha Kumar
Earth Science Informatics (2023) Vol. 17, Iss. 1, pp. 561-592
Closed Access | Times Cited: 4
Optimizing synthetic aperture radar image classification and change detection: a proportional factor firefly algorithm and multilayer perceptron approach
B. Pandeeswari, Kathleen Lewis, J. Sutha
Signal Image and Video Processing (2024) Vol. 18, Iss. S1, pp. 771-787
Closed Access
A Cross-Attention-Based Multi-Information Fusion Transformer for Hyperspectral Image Classification
Jinghui Yang, Anqi Li, Jinxi Qian, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 13358-13375
Open Access
Gradient based optimizer with deep learning based agricultural land use and land cover classification on SAR data
Azween Abdullah, A. Daniel, Valliappan Raju
Journal of Infrastructure Policy and Development (2024) Vol. 8, Iss. 8, pp. 4488-4488
Open Access
Synthetic Data in AI-Driven Earth Observation: an Insight Into the SD4EO Project
Marcos Fernández, Jesús Gimeno, Rosa Gini, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 2508-2513
Closed Access
From Fields to Pixels: UAV Multispectral and Field-Captured RGB Imaging for High-Throughput Wheat Spike and Kernel Counting
Ahmed Mohammed, Nisar Ali, Abdul Bais, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 17806-17819
Open Access
REMOTE SENSING AND DEEP LEARNING INTEGRATION FOR SPATIAL INTELLIGENCE
Ventsislav Polimenov, Krassimira Ivanova
International Multidisciplinary Scientific GeoConference SGEM ... (2024) Vol. 24, pp. 275-282
Closed Access
Pansharpening Techniques: Optimizing the Loss Function for Convolutional Neural Networks
Rocco Restaino
Remote Sensing (2024) Vol. 17, Iss. 1, pp. 16-16
Open Access
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