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:

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

Showing 1-25 of 81 citing articles:

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

Strip pooling channel spatial attention network for the segmentation of cloud and cloud shadow
Yi Qu, Min Xia, Yonghong Zhang
Computers & Geosciences (2021) Vol. 157, pp. 104940-104940
Closed Access | Times Cited: 72

Attention mechanism-based generative adversarial networks for cloud removal in Landsat images
Meng Xu, Furong Deng, Sen Jia, et al.
Remote Sensing of Environment (2022) Vol. 271, pp. 112902-112902
Closed Access | Times Cited: 68

Bishift Networks for Thick Cloud Removal with Multitemporal Remote Sensing Images
Chaojun Long, Xinghua Li, Yinghong Jing, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-17
Open Access | Times Cited: 37

Reconstruction of seamless harmonized Landsat Sentinel-2 (HLS) time series via self-supervised learning
Hao Liu, Hankui K. Zhang, Bo Huang, et al.
Remote Sensing of Environment (2024) Vol. 308, pp. 114191-114191
Closed Access | Times Cited: 10

Thick Cloud Removal in Multitemporal Remote Sensing Images via Low-Rank Regularized Self-Supervised Network
Yong Chen, Maolin Chen, Wei He, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-13
Closed Access | Times Cited: 9

Generative networks for spatio-temporal gap filling of Sentinel-2 reflectances
Maria Gonzalez-Calabuig, Miguel‐Ángel Fernández‐Torres, Gustau Camps‐Valls
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 220, pp. 637-648
Open Access | Times Cited: 1

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: 48

Deep-Learning-Based Semantic Segmentation of Remote Sensing Images: A Survey
Liwei Huang, Bitao Jiang, Shouye Lv, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 8370-8396
Open Access | Times Cited: 21

Denoising Diffusion Probabilistic Feature-Based Network for Cloud Removal in Sentinel-2 Imagery
Jing Ran, Fuzhou Duan, Fengxian Lu, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2217-2217
Open Access | Times Cited: 18

Diffusion Enhancement for Cloud Removal in Ultra-Resolution Remote Sensing Imagery
Jialu Sui, Yiyang Ma, Wenhan Yang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-14
Open Access | Times Cited: 8

MCDNet: Multilevel cloud detection network for remote sensing images based on dual-perspective change-guided and multi-scale feature fusion
Junwu Dong, Yanhui Wang, Yang Yang, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 129, pp. 103820-103820
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

PLFM: Pixel-Level Merging of Intermediate Feature Maps by Disentangling and Fusing Spatial and Temporal Data for Cloud Removal
Alessandro Sebastianelli, Erika Puglisi, Maria Pia Del Rosso, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-16
Closed Access | Times Cited: 26

A deep learning model for incorporating temporal information in haze removal
Xiaofeng Ma, Qunming Wang, Xiaohua Tong, et al.
Remote Sensing of Environment (2022) Vol. 274, pp. 113012-113012
Open Access | Times Cited: 24

Global and Local Dual Fusion Network for Large-ratio Cloud Occlusion Missing Information Reconstruction of a High-resolution Remote Sensing Image
Weiling Liu, Yonghua Jiang, Jingyin Wang, et al.
IEEE Geoscience and Remote Sensing Letters (2024) Vol. 21, pp. 1-5
Closed 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

Blind single-image-based thin cloud removal using a cloud perception integrated fast Fourier convolutional network
Yujun Guo, Wei He, Yu Xia, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 206, pp. 63-86
Closed Access | Times Cited: 13

SOSSF: Landsat-8 image synthesis on the blending of Sentinel-1 and MODIS data
Yu Xia, Wei He, Qi Huang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-19
Closed Access | Times Cited: 4

Recreating Brightness from Remote Sensing Shadow Appearance
Qi Wang, Kaichen Chi, Wei Jing, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-11
Closed Access | Times Cited: 4

Thick Cloud Removal in Optical Remote Sensing Images Using a Texture Complexity Guided Self-Paced Learning Method
Chao Tao, Siyang Fu, Ji Qi, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-12
Closed Access | Times Cited: 19

Fast spatial-spectral random forests for thick cloud removal of hyperspectral images
Lanxing Wang, Qunming Wang
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102916-102916
Open 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

Thick Cloud Removal Under Land Cover Changes Using Multisource Satellite Imagery and a Spatiotemporal Attention Network
Hao Liu, Bo Huang, Jiajun Cai
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-18
Closed Access | Times Cited: 11

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