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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 Detection for Satellite Imagery Using Attention-Based U-Net Convolutional Neural Network
Yanan Guo, Xiaoqun Cao, Bainian Liu, et al.
Symmetry (2020) Vol. 12, Iss. 6, pp. 1056-1056
Open Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

Review of pixel-level remote sensing image fusion based on deep learning
Zhaobin Wang, Yikun Ma, Yaonan Zhang
Information Fusion (2022) Vol. 90, pp. 36-58
Closed Access | Times Cited: 61
Cloud and Cloud Shadow Segmentation for Remote Sensing Imagery Via Filtered Jaccard Loss Function and Parametric Augmentation
Sorour Mohajerani, Parvaneh Saeedi
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 4254-4266
Open Access | Times Cited: 47
Seeing Through Clouds in Satellite Images
M. Zhao, Peder A. Olsen, Ranveer Chandra
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-16
Open Access | Times Cited: 20
CD-CTFM: A Lightweight CNN-Transformer Network for Remote Sensing Cloud Detection Fusing Multiscale Features
Wenxuan Ge, Xubing Yang, Rui Jiang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 4538-4551
Open Access | Times Cited: 7
A review on deep learning techniques for cloud detection methodologies and challenges
Liyuan Li, Xiaoyan Li, Linyi Jiang, et al.
Signal Image and Video Processing (2021) Vol. 15, Iss. 7, pp. 1527-1535
Closed Access | Times Cited: 33
Recognition of Plastic Film in Terrain-Fragmented Areas Based on Drone Visible Light Images
Xiaoyi Du, Denghong Huang, Lichun Dai, et al.
Agriculture (2024) Vol. 14, Iss. 5, pp. 736-736
Open Access | Times Cited: 5
Cloud Detection Method Using CNN Based on Cascaded Feature Attention and Channel Attention
Jing Zhang, Jun Wu, Hui Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-17
Open Access | Times Cited: 32
CNN Cloud Detection Algorithm Based on Channel and Spatial Attention and Probabilistic Upsampling for Remote Sensing Image
Jing Zhang, Yuchen Wang, Hui Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-13
Open Access | Times Cited: 27
Multi-feature embedded learning SVM for cloud detection in remote sensing images
Weidong Zhang, Songlin Jin, Ling Zhou, et al.
Computers & Electrical Engineering (2022) Vol. 102, pp. 108177-108177
Closed Access | Times Cited: 20
Machine learning of cloud types in satellite observations and climate models
Peter Kuma, Frida A.‐M. Bender, Alex Schuddeboom, et al.
Atmospheric chemistry and physics (2023) Vol. 23, Iss. 1, pp. 523-549
Open Access | Times Cited: 12
Cloud Detection in Remote Sensing Images Based on a Novel Adaptive Feature Aggregation Method
Zhou Wang, Yan Mo, Qiaofeng Ou, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1245-1245
Open Access
BSANet: A Bilateral Segregation and Aggregation Network for real-time cloud segmentation
Yijie Li, Hewei Wang, Shaofan Wang, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101536-101536
Open Access
Light-Weight Cloud Detection Network for Optical Remote Sensing Images with Attention-Based DeeplabV3+ Architecture
Xudong Yao, Qing Guo, An Li
Remote Sensing (2021) Vol. 13, Iss. 18, pp. 3617-3617
Open Access | Times Cited: 26
DCNet: A Deformable Convolutional Cloud Detection Network for Remote Sensing Imagery
Yang Liu, Wen Wang, Qingyong Li, et al.
IEEE Geoscience and Remote Sensing Letters (2021) Vol. 19, pp. 1-5
Closed Access | Times Cited: 25
Cloud detection in satellite images with classical and deep neural network approach: A review
Rachana Gupta, Satyasai Jagannath Nanda
Multimedia Tools and Applications (2022) Vol. 81, Iss. 22, pp. 31847-31880
Closed Access | Times Cited: 18
Semantic segmentation of clouds in satellite images based on U-Net++ architecture and attention mechanism
Preetpal Kaur Buttar, Manoj Kumar Sachan
Expert Systems with Applications (2022) Vol. 209, pp. 118380-118380
Closed Access | Times Cited: 18
A self-evolving deep learning algorithm for automatic oil spill detection in Sentinel-1 SAR images
Chenglei Li, Duk‐jin Kim, Soyeon Park, et al.
Remote Sensing of Environment (2023) Vol. 299, pp. 113872-113872
Open Access | Times Cited: 10
Improved Landsat Operational Land Imager (OLI) Cloud and Shadow Detection with the Learning Attention Network Algorithm (LANA)
Hankui K. Zhang, Dong Luo, David P. Roy
Remote Sensing (2024) Vol. 16, Iss. 8, pp. 1321-1321
Open Access | Times Cited: 3
Understanding the Role of Receptive Field of Convolutional Neural Network for Cloud Detection in Landsat 8 OLI Imagery
Longkang Peng, Xuehong Chen, Jin Chen, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-17
Closed Access | Times Cited: 14
Spatio-temporal fusion methods for spectral remote sensing: a comprehensive technical review and comparative analysis
Ratnakar Swain, Ananya Paul, Mukunda Dev Behera
Tropical Ecology (2023) Vol. 65, Iss. 3, pp. 356-375
Closed Access | Times Cited: 8
AgriSen-COG, a Multicountry, Multitemporal Large-Scale Sentinel-2 Benchmark Dataset for Crop Mapping Using Deep Learning
Teodora Selea
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 2980-2980
Open Access | Times Cited: 7
Land cover segmentation using 3D FCN-based architecture with coordinate attention
Preetpal Kaur Buttar, Manoj Kumar Sachan
IEEE Geoscience and Remote Sensing Letters (2024) Vol. 21, pp. 1-5
Closed Access | Times Cited: 2
Improving Deep Learning-Based Cloud Detection for Satellite Images With Attention Mechanism
Li Zhang, Jiahui Sun, Xubing Yang, et al.
IEEE Geoscience and Remote Sensing Letters (2021) Vol. 19, pp. 1-5
Closed Access | Times Cited: 16
Machine learning of cloud types shows higher climate sensitivity is associated with lower cloud biases
Peter Kuma, Frida A.‐M. Bender, Alex Schuddeboom, et al.
(2022)
Open Access | Times Cited: 12
Deep Learning-Based Cloud Detection for Optical Remote Sensing Images: A Survey
Zhengxin Wang, Longlong Zhao, Jintao Meng, et al.
Remote Sensing (2024) Vol. 16, Iss. 23, pp. 4583-4583
Open Access | Times Cited: 2
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