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 New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution
Juan M. Haut, Rubén Fernández-Beltran, Mercedes E. Paoletti, et al.
IEEE Transactions on Geoscience and Remote Sensing (2018) Vol. 56, Iss. 11, pp. 6792-6810
Open Access | Times Cited: 167

Showing 1-25 of 167 citing articles:

Deep learning classifiers for hyperspectral imaging: A review
Mercedes E. Paoletti, Juan M. Haut, Javier Plaza, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 158, pp. 279-317
Open Access | Times Cited: 798

Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification
Nanjun He, Mercedes E. Paoletti, Juan M. Haut, et al.
IEEE Transactions on Geoscience and Remote Sensing (2018) Vol. 57, Iss. 2, pp. 755-769
Closed Access | Times Cited: 232

Visual Attention-Driven Hyperspectral Image Classification
Juan M. Haut, Mercedes E. Paoletti, Javier Plaza, et al.
IEEE Transactions on Geoscience and Remote Sensing (2019) Vol. 57, Iss. 10, pp. 8065-8080
Open Access | Times Cited: 218

Interpretable Hyperspectral Artificial Intelligence: When nonconvex modeling meets hyperspectral remote sensing
Danfeng Hong, Wei He, Naoto Yokoya, et al.
IEEE Geoscience and Remote Sensing Magazine (2021) Vol. 9, Iss. 2, pp. 52-87
Closed Access | Times Cited: 217

A comprehensive review on deep learning based remote sensing image super-resolution methods
Peijuan Wang, Bülent Bayram, Elif Sertel
Earth-Science Reviews (2022) Vol. 232, pp. 104110-104110
Closed Access | Times Cited: 190

Siamese Convolutional Neural Networks for Remote Sensing Scene Classification
Xuning Liu, Yong Zhou, Jiaqi Zhao, et al.
IEEE Geoscience and Remote Sensing Letters (2019) Vol. 16, Iss. 8, pp. 1200-1204
Closed Access | Times Cited: 156

EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution
Yi Xiao, Qiangqiang Yuan, Kui Jiang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 62, pp. 1-14
Open Access | Times Cited: 102

Deep Regression Network for Single-Image Super-Resolution Based on Down- and Upsampling with RCA Blocks
S. Karthick, N. Muthukumaran
National Academy Science Letters (2023) Vol. 47, Iss. 3, pp. 279-283
Closed Access | Times Cited: 47

From single- to multi-modal remote sensing imagery interpretation: a survey and taxonomy
Xian Sun, Yu Tian, Wanxuan Lu, et al.
Science China Information Sciences (2023) Vol. 66, Iss. 4
Open Access | Times Cited: 44

Survey of Deep-Learning Approaches for Remote Sensing Observation Enhancement
Grigorios Tsagkatakis, Anastasia Aidini, Konstantina Fotiadou, et al.
Sensors (2019) Vol. 19, Iss. 18, pp. 3929-3929
Open Access | Times Cited: 128

Coupled Adversarial Training for Remote Sensing Image Super-Resolution
Sen Lei, Zhenwei Shi, Zhengxia Zou
IEEE Transactions on Geoscience and Remote Sensing (2019) Vol. 58, Iss. 5, pp. 3633-3643
Closed Access | Times Cited: 124

Hyperspectral Image Classification Using Random Occlusion Data Augmentation
Juan M. Haut, Mercedes E. Paoletti, Javier Plaza, et al.
IEEE Geoscience and Remote Sensing Letters (2019) Vol. 16, Iss. 11, pp. 1751-1755
Closed Access | Times Cited: 116

Hyperspectral Pansharpening Using Deep Prior and Dual Attention Residual Network
Yuxuan Zheng, Jiaojiao Li, Yunsong Li, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 58, Iss. 11, pp. 8059-8076
Closed Access | Times Cited: 113

Achieving Super-Resolution Remote Sensing Images via the Wavelet Transform Combined With the Recursive Res-Net
Wen Ma, Zongxu Pan, Jiayi Guo, et al.
IEEE Transactions on Geoscience and Remote Sensing (2019) Vol. 57, Iss. 6, pp. 3512-3527
Closed Access | Times Cited: 109

Thin cloud removal in optical remote sensing images based on generative adversarial networks and physical model of cloud distortion
Li Jun, Zhaocong Wu, Zhongwen Hu, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 166, pp. 373-389
Closed Access | Times Cited: 105

Deep&Dense Convolutional Neural Network for Hyperspectral Image Classification
Mercedes E. Paoletti, Juan M. Haut, Javier Plaza, et al.
Remote Sensing (2018) Vol. 10, Iss. 9, pp. 1454-1454
Open Access | Times Cited: 98

Super-Resolution of Single Remote Sensing Image Based on Residual Dense Backprojection Networks
Zongxu Pan, Wen Ma, Jiayi Guo, et al.
IEEE Transactions on Geoscience and Remote Sensing (2019) Vol. 57, Iss. 10, pp. 7918-7933
Closed Access | Times Cited: 96

Remote Sensing Image Superresolution Using Deep Residual Channel Attention
Juan M. Haut, Rubén Fernández-Beltran, Mercedes E. Paoletti, et al.
IEEE Transactions on Geoscience and Remote Sensing (2019) Vol. 57, Iss. 11, pp. 9277-9289
Open Access | Times Cited: 87

RSCNN: A CNN-Based Method to Enhance Low-Light Remote-Sensing Images
Linshu Hu, Mengjiao Qin, Feng Zhang, et al.
Remote Sensing (2020) Vol. 13, Iss. 1, pp. 62-62
Open Access | Times Cited: 79

Super-Resolution of Sentinel-2 Imagery Using Generative Adversarial Networks
Luis Salgueiro, Javier Marcello, Verónica Vilaplana
Remote Sensing (2020) Vol. 12, Iss. 15, pp. 2424-2424
Open Access | Times Cited: 77

A Review of Image Super-Resolution Approaches Based on Deep Learning and Applications in Remote Sensing
Xuan Wang, Jinglei Yi, Jian Guo, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5423-5423
Open Access | Times Cited: 65

Multiattention Generative Adversarial Network for Remote Sensing Image Super-Resolution
Sen Jia, Zhihao Wang, Qingquan Li, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-15
Open Access | Times Cited: 63

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

TR-MISR: Multiimage Super-Resolution Based on Feature Fusion With Transformers
Tai An, Xin Zhang, Chunlei Huo, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 1373-1388
Open Access | Times Cited: 48

TE-SAGAN: An Improved Generative Adversarial Network for Remote Sensing Super-Resolution Images
Yongyang Xu, Wei Luo, Anna Hu, et al.
Remote Sensing (2022) Vol. 14, Iss. 10, pp. 2425-2425
Open Access | Times Cited: 43

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