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:

Deep Learning for Downscaling Remote Sensing Images: Fusion and super-resolution
Maria Sdraka, Ioannis Papoutsis, Bill Psomas, et al.
IEEE Geoscience and Remote Sensing Magazine (2022) Vol. 10, Iss. 3, pp. 202-255
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Deep learning in statistical downscaling for deriving high spatial resolution gridded meteorological data: A systematic review
Yongjian Sun, Kefeng Deng, Kaijun Ren, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 208, pp. 14-38
Closed Access | Times Cited: 36
A review of remote sensing image spatiotemporal fusion: Challenges, applications and recent trends
Juan Xiao, Ashwani Kumar Aggarwal, Nguyen Hong Duc, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 32, pp. 101005-101005
Closed Access | Times Cited: 34
Continuous Remote Sensing Image Super-Resolution Based on Context Interaction in Implicit Function Space
Keyan Chen, Wenyuan Li, Sen Lei, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-16
Open Access | Times Cited: 29
Cross-sensor remote sensing imagery super-resolution via an edge-guided attention-based network
Zhonghang Qiu, Huanfeng Shen, Linwei Yue, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 199, pp. 226-241
Closed Access | Times Cited: 18
Model-Based Super-Resolution for Sentinel-5P Data
Alessia Carbone, Rocco Restaino, Gemine Vivone, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-16
Open Access | Times Cited: 5
Super-resolution GANs for upscaling unplanned urban settlements from remote sensing satellite imagery – the case of Chinese urban village detection
Alessandro Crivellari, Hong Wei, Chunzhu Wei, et al.
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 2623-2643
Open Access | Times Cited: 12
Smart Distillation for Land Use Monitoring: A Lightweight Remote Sensing Segmentation Strategy
Yaowei Wu, Jiao Liu, Yuangong Chen, et al.
Electronics (2025) Vol. 14, Iss. 2, pp. 349-349
Open Access
Generating High Spatial and Temporal Surface Albedo with Multispectral-Wavemix and Temporal-Shift Heatmaps
Sagthitharan Karalasingham, Ravinesh C. Deo, Nawin Raj, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 461-461
Open Access
Deep learning processing of remotely sensed multi-spectral images
Rocco Restaino, Alessia Carbone, Gemine Vivone
Elsevier eBooks (2025), pp. 57-85
Closed Access
Leveraging Land Cover Priors for Isoprene Emission Super-Resolution
Christopher Ummerle, Antonio Giganti, Sara Mandelli, et al.
Remote Sensing (2025) Vol. 17, Iss. 10, pp. 1715-1715
Open Access
A Transfer Learning-Enhanced Generative Adversarial Network for Downscaling Sea Surface Height through Heterogeneous Data Fusion
Qi Zhang, Wenjin Sun, Huaihai Guo, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 763-763
Open Access | Times Cited: 3
A New Spatial Downscaling Method for Long-Term AVHRR NDVI by Multiscale Residual Convolutional Neural Network
Mengmeng Sun, Xiang Zhao, Jiacheng Zhao, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 7068-7088
Open Access | Times Cited: 2
Super-Resolution of Radargrams with a Generative Deep Learning Model
Elena Donini, Lorenzo Bruzzone, Francesca Bovolo
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-17
Closed Access | Times Cited: 2
FLOGA: A Machine-Learning-Ready Dataset, a Benchmark, and a Novel Deep Learning Model for Burnt Area Mapping With Sentinel-2
Maria Sdraka, Alkinoos Dimakos, Alexandros Malounis, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 7801-7824
Open Access | Times Cited: 2
Multimode Low-Rank Relaxation and Manifold Regularization for Hyperspectral Image Super-Resolution
Fei Ma, Shuai Huo, Siyu Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access | Times Cited: 2
A hierarchical downscaling scheme for generating fine-resolution leaf area index with multisource and multiscale observations via deep learning
Huaan Jin, Yuting Qiao, Tian Liu, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 133, pp. 104152-104152
Open Access | Times Cited: 2
Towards a Paradigm Shift on Mapping Muddy Waters with Sentinel-2 Using Machine Learning
Christos Psychalas, Konstantinos Vlachos, Anastasia Moumtzidou, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13441-13441
Open Access | Times Cited: 5
3-D Bi-directional LSTM for Satellite Soil Moisture Downscaling
Neethu Madhukumar, Eric Wang, Clinton Fookes, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-18
Closed Access | Times Cited: 7
Developing a Multi-Scale Convolutional Neural Network for Spatiotemporal Fusion to Generate MODIS-like Data Using AVHRR and Landsat Images
Zhicheng Zhang, Zurui Ao, Wei Wu, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 1086-1086
Open Access | Times Cited: 1
Physics-Constrained Deep Learning Models for Microwave Retrieval of High-Resolution Soil Moisture
Archana Kannan, Grigorios Tsagkatakis, Mahta Moghaddam
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 1478-1480
Closed Access | Times Cited: 1
Learn from Simulations, Adapt to Observations: Super-Resolution of Isoprene Emissions via Unpaired Domain Adaptation
Antonio Giganti, Sara Mandelli, Paolo Bestagini, et al.
Remote Sensing (2024) Vol. 16, Iss. 21, pp. 3963-3963
Open Access | Times Cited: 1
Enhancing Cropland Mapping with Spatial Super-Resolution Reconstruction by Optimizing Training Samples for Image Super-Resolution Models
Xiaofeng Jia, Xinyan Li, Zirui Wang, et al.
Remote Sensing (2024) Vol. 16, Iss. 24, pp. 4678-4678
Open Access | Times Cited: 1
A Multifactor Weighting Method for Improved Clear View Compositing Using All Available Landsat 8 and Sentinel 2 Images in Google Earth Engine
Shili Meng, Yong Pang, Chengquan Huang, et al.
Journal of Remote Sensing (2023) Vol. 3
Open Access | Times Cited: 2
Super-resolution techniques for Sentinel-5P products
Alessia Carbone, Rocco Restaino, Gemine Vivone
(2023), pp. 5-5
Closed Access | Times Cited: 2
Development and application of a more refined process for extracting rock crack width information based on artificial intelligence
Peng Ye, Bin Yu, Runhong Zhang, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top