Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 and cloud shadow detection in Landsat imagery based on deep convolutional neural networks
Dengfeng Chai, Shawn Newsam, Hankui K. Zhang, et al.
Remote Sensing of Environment (2019) Vol. 225, pp. 307-316
Closed Access | Times Cited: 175

Showing 1-25 of 175 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
Vine disease detection in UAV multispectral images using optimized image registration and deep learning segmentation approach
Mohamed Kerkech, Adel Hafiane, Raphaël Canals
Computers and Electronics in Agriculture (2020) Vol. 174, pp. 105446-105446
Open Access | Times Cited: 232
Deep learning on edge: Extracting field boundaries from satellite images with a convolutional neural network
François Waldner, Foivos I. Diakogiannis
Remote Sensing of Environment (2020) Vol. 245, pp. 111741-111741
Open Access | Times Cited: 228
Remote sensing image segmentation advances: A meta-analysis
Ioannis Kotaridis, Μαρία Λαζαρίδου
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 173, pp. 309-322
Closed Access | Times Cited: 202
Development of the GLASS 250-m leaf area index product (version 6) from MODIS data using the bidirectional LSTM deep learning model
Han Ma, Shunlin Liang
Remote Sensing of Environment (2022) Vol. 273, pp. 112985-112985
Open Access | Times Cited: 193
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
A Machine Learning Ensemble Approach Based on Random Forest and Radial Basis Function Neural Network for Risk Evaluation of Regional Flood Disaster: A Case Study of the Yangtze River Delta, China
Junfei Chen, Qian Li, Huimin Wang, et al.
International Journal of Environmental Research and Public Health (2019) Vol. 17, Iss. 1, pp. 49-49
Open Access | Times Cited: 157
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
Cloud and cloud shadow detection for optical satellite imagery: Features, algorithms, validation, and prospects
Zhiwei Li, Huanfeng Shen, Qihao Weng, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 188, pp. 89-108
Closed Access | Times Cited: 101
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
Large-scale rice mapping under different years based on time-series Sentinel-1 images using deep semantic segmentation model
Pengliang Wei, Dengfeng Chai, Tao Lin, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 174, pp. 198-214
Closed Access | Times Cited: 94
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
Refined UNet: UNet-Based Refinement Network for Cloud and Shadow Precise Segmentation
Libin Jiao, Lianzhi Huo, Changmiao Hu, et al.
Remote Sensing (2020) Vol. 12, Iss. 12, pp. 2001-2001
Open Access | Times Cited: 78
Cloud detection for Landsat imagery by combining the random forest and superpixels extracted via energy-driven sampling segmentation approaches
Jing Wei, Wei Huang, Zhanqing Li, et al.
Remote Sensing of Environment (2020) Vol. 248, pp. 112005-112005
Open Access | Times Cited: 78
Assessment of machine learning classifiers for global lake ice cover mapping from MODIS TOA reflectance data
Yuhao Wu, Claude Duguay, Linlin Xu
Remote Sensing of Environment (2020) Vol. 253, pp. 112206-112206
Closed Access | Times Cited: 78
Deeply supervised convolutional neural network for shadow detection based on a novel aerial shadow imagery dataset
Shuang Luo, Huifang Li, Huanfeng Shen
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 167, pp. 443-457
Closed Access | Times Cited: 73
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
GlacierNet: A Deep-Learning Approach for Debris-Covered Glacier Mapping
Zhiyuan Xie, Umesh K. Haritashya, Vijayan K. Asari, et al.
IEEE Access (2020) Vol. 8, pp. 83495-83510
Open Access | Times Cited: 71
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
On the Effectiveness of Weakly Supervised Semantic Segmentation for Building Extraction From High-Resolution Remote Sensing Imagery
Zhenshi Li, Xueliang Zhang, Pengfeng Xiao, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 3266-3281
Open Access | Times Cited: 59
CIMFNet: Cross-Layer Interaction and Multiscale Fusion Network for Semantic Segmentation of High-Resolution Remote Sensing Images
Wujie Zhou, Jin Jianhui, Jingsheng Lei, et al.
IEEE Journal of Selected Topics in Signal Processing (2022) Vol. 16, Iss. 4, pp. 666-676
Closed Access | Times Cited: 57
Agricultural Field Extraction with Deep Learning Algorithm and Satellite Imagery
Alireza Sharifi, Hadi Mahdipour, Elahe Moradi, et al.
Journal of the Indian Society of Remote Sensing (2022) Vol. 50, Iss. 2, pp. 417-423
Closed Access | Times Cited: 47
Page 1 - Next Page

Scroll to top