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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:

Learning U-Net without forgetting for near real-time wildfire monitoring by the fusion of SAR and optical time series
Puzhao Zhang, Yifang Ban, Andrea Nascetti
Remote Sensing of Environment (2021) Vol. 261, pp. 112467-112467
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Foundation Models for Generalist Geospatial Artificial Intelligence
Johannes Jakubik, Sujit Roy, Chris Phillips, et al.
(2024)
Open Access | Times Cited: 61
Deep Learning Approaches for Wildland Fires Using Satellite Remote Sensing Data: Detection, Mapping, and Prediction
Rafik Ghali, Moulay A. Akhloufi
Fire (2023) Vol. 6, Iss. 5, pp. 192-192
Open Access | Times Cited: 46
Detection of forest fire using deep convolutional neural networks with transfer learning approach
Hatice Çatal Reis, Veysel Turk
Applied Soft Computing (2023) Vol. 143, pp. 110362-110362
Closed Access | Times Cited: 45
Monthly mapping of forest harvesting using dense time series Sentinel-1 SAR imagery and deep learning
Feng Zhao, Rui Sun, Liheng Zhong, et al.
Remote Sensing of Environment (2021) Vol. 269, pp. 112822-112822
Closed Access | Times Cited: 77
Burnt-Net: Wildfire burned area mapping with single post-fire Sentinel-2 data and deep learning morphological neural network
Seyd Teymoor Seydi, Mahdi Hasanlou, Jocelyn Chanussot
Ecological Indicators (2022) Vol. 140, pp. 108999-108999
Open Access | Times Cited: 52
Fusion of optical and SAR images based on deep learning to reconstruct vegetation NDVI time series in cloud-prone regions
Jingbo Li, Changchun Li, Weimeng Xu, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102818-102818
Open Access | Times Cited: 47
A Comparative Performance Analysis of Popular Deep Learning Models and Segment Anything Model (SAM) for River Water Segmentation in Close-Range Remote Sensing Imagery
Armin Moghimi, Mario Welzel, Turgay Çelik, et al.
IEEE Access (2024) Vol. 12, pp. 52067-52085
Open Access | Times Cited: 17
Forest fire risk assessment model optimized by stochastic average gradient descent
Zexin Fu, Adu Gong, Jia Wan, et al.
Ecological Indicators (2025) Vol. 170, pp. 113006-113006
Open Access | Times Cited: 1
Detailed analysis of air pollution in the Canadian prairie region: A step toward net-zero emission
Amir Ghahremanlou, Davoud Ghahremanlou
The Science of The Total Environment (2025) Vol. 963, pp. 178492-178492
Closed Access | Times Cited: 1
A Two-Stage Method for Ship Detection Using PolSAR Image
Tao Zhang, Sinong Quan, Zhen Yang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-18
Closed Access | Times Cited: 31
High-Resolution Semantic Segmentation of Woodland Fires Using Residual Attention UNet and Time Series of Sentinel-2
Zeinab Shirvani, Omid Abdi, Rosa C. Goodman
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1342-1342
Open Access | Times Cited: 23
Resiliency-Oriented operation of distribution networks under unexpected wildfires using Multi-Horizon Information-Gap decision theory
M. Izadi, Seyed Hossein Hosseinian, Shahab Dehghan, et al.
Applied Energy (2023) Vol. 334, pp. 120536-120536
Open Access | Times Cited: 19
A self-adaptive wildfire detection algorithm by fusing physical and deep learning schemes
Shuting Jin, Tianxing Wang, Huabing Huang, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 127, pp. 103671-103671
Open Access | Times Cited: 8
Monitoring biomass burning aerosol transport using CALIOP observations and reanalysis models: a Canadian wildfire event in 2019
Xiaoxia Shang, Antti Lipponen, Maria Filioglou, et al.
Atmospheric chemistry and physics (2024) Vol. 24, Iss. 2, pp. 1329-1344
Open Access | Times Cited: 8
Assessing Sentinel-2, Sentinel-1, and ALOS-2 PALSAR-2 Data for Large-Scale Wildfire-Burned Area Mapping: Insights from the 2017–2019 Canada Wildfires
Puzhao Zhang, Xikun Hu, Yifang Ban, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 556-556
Open Access | Times Cited: 8
A critical review on multi-sensor and multi-platform remote sensing data fusion approaches: current status and prospects
Farhad Samadzadegan, Ahmad Toosi, Farzaneh Dadrass Javan
International Journal of Remote Sensing (2024), pp. 1-76
Open Access | Times Cited: 8
DSMNN-Net: A Deep Siamese Morphological Neural Network Model for Burned Area Mapping Using Multispectral Sentinel-2 and Hyperspectral PRISMA Images
Seyd Teymoor Seydi, Mahdi Hasanlou, Jocelyn Chanussot
Remote Sensing (2021) Vol. 13, Iss. 24, pp. 5138-5138
Open Access | Times Cited: 33
Remote Sensing Applications for Mapping Large Wildfires Based on Machine Learning and Time Series in Northwestern Portugal
Sarah Moura Batista dos Santos, Soltan Galano Duverger, António Bento‐Gonçalves, et al.
Fire (2023) Vol. 6, Iss. 2, pp. 43-43
Open Access | Times Cited: 15
Temporal-agnostic change region proposal for semantic change detection
Shiqi Tian, Xicheng Tan, Ailong Ma, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 204, pp. 306-320
Closed Access | Times Cited: 15
Machine Learning and Deep Learning in Remote Sensing Data Analysis
Hankui K. Zhang, Shi Qiu, Ji Won Suh, et al.
Elsevier eBooks (2024)
Closed Access | Times Cited: 5
Generalization of U-Net Semantic Segmentation for Forest Change Detection in South Korea Using Airborne Imagery
JongCheol Pyo, Kuk-jin Han, Yoonrang Cho, et al.
Forests (2022) Vol. 13, Iss. 12, pp. 2170-2170
Open Access | Times Cited: 21
Burned Area Mapping Using Unitemporal PlanetScope Imagery With a Deep Learning Based Approach
Ah Young Cho, Si-eun Park, Duk‐jin Kim, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 16, pp. 242-253
Open Access | Times Cited: 21
Mapping the Distribution of High-Value Broadleaf Tree Crowns through Unmanned Aerial Vehicle Image Analysis Using Deep Learning
Nyo Me Htun, Toshiaki Owari, Satoshi Tsuyuki, et al.
Algorithms (2024) Vol. 17, Iss. 2, pp. 84-84
Open Access | Times Cited: 4
Burned Area and Burn Severity Mapping With a Transformer-Based Change Detection Model
Yuxin Han, Change Zheng, Xiaodong Liu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 13866-13880
Open Access | Times Cited: 4
Region-Based Polarimetric Covariance Difference Matrix for PolSAR Ship Detection
Tao Zhang, Wei Wang, Sinong Quan, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-16
Closed Access | Times Cited: 17
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