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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 cloud detection algorithm for satellite imagery based on deep learning
Jacob Jeppesen, Rune Hylsberg Jacobsen, Fadil Inceoglu, et al.
Remote Sensing of Environment (2019) Vol. 229, pp. 247-259
Open Access | Times Cited: 341

Showing 1-25 of 341 citing articles:

A comprehensive review of deep learning applications in hydrology and water resources
Muhammed Sit, Bekir Zahit Demiray, Zhongrun Xiang, et al.
Water Science & Technology (2020) Vol. 82, Iss. 12, pp. 2635-2670
Open Access | Times Cited: 403
Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery
Sherrie Wang, William Chen, Sang Michael Xie, et al.
Remote Sensing (2020) Vol. 12, Iss. 2, pp. 207-207
Open Access | Times Cited: 216
A global analysis of the temporal availability of PlanetScope high spatial resolution multi-spectral imagery
David P. Roy, Haiyan Huang, Rasmus Houborg, et al.
Remote Sensing of Environment (2021) Vol. 264, pp. 112586-112586
Open Access | Times Cited: 187
Accurate cloud detection in high-resolution remote sensing imagery by weakly supervised deep learning
Yansheng Li, Wei Chen, Yongjun Zhang, et al.
Remote Sensing of Environment (2020) Vol. 250, pp. 112045-112045
Closed Access | Times Cited: 165
Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-2
Sergii Skakun, Jan Wevers, Carsten Brockmann, et al.
Remote Sensing of Environment (2022) Vol. 274, pp. 112990-112990
Open Access | Times Cited: 165
DABNet: Deformable Contextual and Boundary-Weighted Network for Cloud Detection in Remote Sensing Images
Qibin He, Xian Sun, Zhiyuan Yan, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-16
Closed Access | Times Cited: 156
Deep learning in hydrology and water resources disciplines: concepts, methods, applications, and research directions
Kumar Puran Tripathy, Ashok K. Mishra
Journal of Hydrology (2023) Vol. 628, pp. 130458-130458
Closed Access | Times Cited: 101
SEN12MS-CR-TS: A Remote-Sensing Data Set for Multimodal Multitemporal Cloud Removal
Patrick Ebel, Yajin Xu, Michael Schmitt, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-14
Open Access | Times Cited: 85
Advances in solar forecasting: Computer vision with deep learning
Quentin Paletta, Guillermo Terrén-Serrano, Yuhao Nie, et al.
Advances in Applied Energy (2023) Vol. 11, pp. 100150-100150
Open Access | Times Cited: 44
Segment anything, from space?
Simiao Ren, Francesco Luzi, Saad Lahrichi, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 8340-8350
Closed Access | Times Cited: 25
A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images
Miguel M. Pinto, Renata Libonati, Ricardo M. Trigo, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 160, pp. 260-274
Closed Access | Times Cited: 107
Multisensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery
Patrick Ebel, Andrea Meraner, Michael Schmitt, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 59, Iss. 7, pp. 5866-5878
Open Access | Times Cited: 103
CDnetV2: CNN-Based Cloud Detection for Remote Sensing Imagery With Cloud-Snow Coexistence
Jianhua Guo, Jingyu Yang, Huanjing Yue, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 59, Iss. 1, pp. 700-713
Closed Access | Times Cited: 96
Simultaneous Cloud Detection and Removal From Bitemporal Remote Sensing Images Using Cascade Convolutional Neural Networks
Shunping Ji, Peiyu Dai, Meng Lü, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 59, Iss. 1, pp. 732-748
Open Access | Times Cited: 81
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
Application of deep learning in ecological resource research: Theories, methods, and challenges
Qinghua Guo, Shichao Jin, Min Li, et al.
Science China Earth Sciences (2020) Vol. 63, Iss. 10, pp. 1457-1474
Closed Access | Times Cited: 71
Wildfire Segmentation Using Deep Vision Transformers
Rafik Ghali, Moulay A. Akhloufi, Marwa Jmal, et al.
Remote Sensing (2021) Vol. 13, Iss. 17, pp. 3527-3527
Open Access | Times Cited: 66
Benchmarking Deep Learning Models for Cloud Detection in Landsat-8 and Sentinel-2 Images
Dan López-Puigdollers, Gonzalo Mateo‐García, Luis Gómez‐Chova
Remote Sensing (2021) Vol. 13, Iss. 5, pp. 992-992
Open Access | Times Cited: 65
A geographic information-driven method and a new large scale dataset for remote sensing cloud/snow detection
Xi Wu, Zhenwei Shi, Zhengxia Zou
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 174, pp. 87-104
Closed Access | Times Cited: 60
Deep learning for processing and analysis of remote sensing big data: a technical review
Xin Zhang, Yanan Zhou, Jiancheng Luo
Big Earth Data (2021) Vol. 6, Iss. 4, pp. 527-560
Open Access | Times Cited: 59
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: 54
Machine learning-based retrieval of day and night cloud macrophysical parameters over East Asia using Himawari-8 data
Yikun Yang, Wenxiao Sun, Yulei Chi, et al.
Remote Sensing of Environment (2022) Vol. 273, pp. 112971-112971
Open Access | Times Cited: 47
Orbital collaborative learning in 6G space-air-ground integrated networks
Ming Zhao, Chen Chen, Lei Liu, et al.
Neurocomputing (2022) Vol. 497, pp. 94-109
Closed Access | Times Cited: 47
A full resolution deep learning network for paddy rice mapping using Landsat data
Lang Xia, Fen Zhao, Jin Chen, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 194, pp. 91-107
Closed Access | Times Cited: 46
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
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