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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:

CycleGAN-STF: Spatiotemporal Fusion via CycleGAN-Based Image Generation
Jia Chen, Lizhe Wang, Ruyi Feng, et al.
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 59, Iss. 7, pp. 5851-5865
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities
Wei Han, Xiaohan Zhang, Yi Wang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 202, pp. 87-113
Closed Access | Times Cited: 122
A review and meta-analysis of Generative Adversarial Networks and their applications in remote sensing
Shahab Jozdani, Dongmei Chen, Darren Pouliot, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 108, pp. 102734-102734
Open Access | Times Cited: 64
Remote Sensing Data Fusion With Generative Adversarial Networks: State-of-the-art methods and future research directions
Peng Liu, Jun Li, Lizhe Wang, et al.
IEEE Geoscience and Remote Sensing Magazine (2022) Vol. 10, Iss. 2, pp. 295-328
Closed Access | Times Cited: 55
MLFF-GAN: A Multilevel Feature Fusion With GAN for Spatiotemporal Remote Sensing Images
Bingze Song, Peng Liu, Jun Li, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-16
Closed Access | Times Cited: 49
SwinSTFM: Remote Sensing Spatiotemporal Fusion Using Swin Transformer
Guanyu Chen, Peng Jiao, Qing Hu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-18
Closed Access | Times Cited: 41
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
ROBOT: A spatiotemporal fusion model toward seamless data cube for global remote sensing applications
Shuang Chen, Jie Wang, Peng Gong
Remote Sensing of Environment (2023) Vol. 294, pp. 113616-113616
Closed Access | Times Cited: 32
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
Enhanced wavelet based spatiotemporal fusion networks using cross-paired remote sensing images
Xingjian Zhang, Shuang Li, Zhenyu Tan, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 211, pp. 281-297
Closed Access | Times Cited: 7
MSNet: A Multi-Stream Fusion Network for Remote Sensing Spatiotemporal Fusion Based on Transformer and Convolution
Weisheng Li, Dongwen Cao, Yidong Peng, et al.
Remote Sensing (2021) Vol. 13, Iss. 18, pp. 3724-3724
Open Access | Times Cited: 36
Soil Moisture Estimation Using Sentinel-1/-2 Imagery Coupled With CycleGAN for Time-Series Gap Filing
Natalia Efremova, Mohamed El Amine Seddik, Esra Erten
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-11
Open Access | Times Cited: 35
Filling Then Spatio-Temporal Fusion for All-Sky MODIS Land Surface Temperature Generation
Yijie Tang, Qunming Wang, Peter M. Atkinson
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 1350-1364
Open Access | Times Cited: 14
The Improved U-STFM: A Deep Learning-Based Nonlinear Spatial-Temporal Fusion Model for Land Surface Temperature Downscaling
Shanxin Guo, Min Li, Yuan‐Qing Li, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 322-322
Open Access | Times Cited: 6
Pansharpening and spatiotemporal image fusion method for remote sensing
Sakshi Anand, Rakesh Sharma
Engineering Research Express (2024) Vol. 6, Iss. 2, pp. 022201-022201
Open Access | Times Cited: 6
STFDiff: Remote sensing image spatiotemporal fusion with diffusion models
He Huang, Wei He, Hongyan Zhang, et al.
Information Fusion (2024) Vol. 111, pp. 102505-102505
Closed Access | Times Cited: 6
Explicit and stepwise models for spatiotemporal fusion of remote sensing images with deep neural networks
Yaobin Ma, Jingbo Wei, Wenchao Tang, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 105, pp. 102611-102611
Open Access | Times Cited: 30
Spatio–Temporal–Spectral Collaborative Learning for Spatio–Temporal Fusion with Land Cover Changes
Xiangchao Meng, Qiang Liu, Feng Shao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-16
Closed Access | Times Cited: 20
MCBAM-GAN: The Gan Spatiotemporal Fusion Model Based on Multiscale and CBAM for Remote Sensing Images
Hui Liu, Guangqi Yang, Fengliang Deng, et al.
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1583-1583
Open Access | Times Cited: 13
Improving satellite image classification accuracy using GAN-based data augmentation and vision transformers
Ayyub Alzahem, Wadii Boulila, Anis Koubâa, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 4169-4186
Closed Access | Times Cited: 13
Deep Learning-Based Spatiotemporal Fusion Architecture of Landsat 8 and Sentinel-2 Data for 10 m Series Imagery
Qing Cheng, Ruixiang Xie, Jingan Wu, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 1033-1033
Open Access | Times Cited: 4
CAFE: A Cross-Attention Based Adaptive Weighting Fusion Network for MODIS and Landsat Spatiotemporal Fusion
Liupeng Lin, Yao Shen, Jingan Wu, et al.
IEEE Geoscience and Remote Sensing Letters (2023) Vol. 20, pp. 1-5
Closed Access | Times Cited: 11
Recent Advances in Deep Learning-Based Spatiotemporal Fusion Methods for Remote Sensing Images
Zilong Lian, Yulin Zhan, Wenhao Zhang, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1093-1093
Open Access
MUSTFN: A spatiotemporal fusion method for multi-scale and multi-sensor remote sensing images based on a convolutional neural network
Peng Qin, Huabing Huang, Hailong Tang, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 115, pp. 103113-103113
Open Access | Times Cited: 15
A Robust Model for MODIS and Landsat Image Fusion Considering Input Noise
Zhenyu Tan, Meiling Gao, Jun Yuan, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-17
Closed Access | Times Cited: 14
A Flexible Object-Level Processing Strategy to Enhance the Weight Function-Based Spatiotemporal Fusion Method
Dizhou Guo, Wenzhong Shi, Zhang Hua, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-11
Closed Access | Times Cited: 14
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