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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:

A Bayesian Data Fusion Approach to Spatio-Temporal Fusion of Remotely Sensed Images
Jie Xue, Yee Leung, Tung Fung
Remote Sensing (2017) Vol. 9, Iss. 12, pp. 1310-1310
Open Access | Times Cited: 109

Showing 1-25 of 109 citing articles:

Spatiotemporal Fusion of Multisource Remote Sensing Data: Literature Survey, Taxonomy, Principles, Applications, and Future Directions
Xiaolin Zhu, Fangyi Cai, Jiaqi Tian, et al.
Remote Sensing (2018) Vol. 10, Iss. 4, pp. 527-527
Open Access | Times Cited: 393
Spatiotemporal Image Fusion in Remote Sensing
Mariana Belgiu, Alfred Stein
Remote Sensing (2019) Vol. 11, Iss. 7, pp. 818-818
Open Access | Times Cited: 150
Spatially Continuous and High-Resolution Land Surface Temperature Product Generation: A review of reconstruction and spatiotemporal fusion techniques
Penghai Wu, Zhixiang Yin, Chao Zeng, et al.
IEEE Geoscience and Remote Sensing Magazine (2021) Vol. 9, Iss. 3, pp. 112-137
Open Access | Times Cited: 108
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
Spatio-temporal fusion for remote sensing data: an overview and new benchmark
Jun Li, Yunfei Li, Lin He, et al.
Science China Information Sciences (2020) Vol. 63, Iss. 4
Closed Access | Times Cited: 126
An Enhanced Deep Convolutional Model for Spatiotemporal Image Fusion
Zhenyu Tan, Liping Di, Mingda Zhang, et al.
Remote Sensing (2019) Vol. 11, Iss. 24, pp. 2898-2898
Open Access | Times Cited: 99
A reliable and adaptive spatiotemporal data fusion method for blending multi-spatiotemporal-resolution satellite images
Wenzhong Shi, Dizhou Guo, Zhang Hua
Remote Sensing of Environment (2021) Vol. 268, pp. 112770-112770
Closed Access | Times Cited: 73
Review of pixel-level remote sensing image fusion based on deep learning
Zhaobin Wang, Yikun Ma, Yaonan Zhang
Information Fusion (2022) Vol. 90, pp. 36-58
Closed Access | Times Cited: 61
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
Fabric computing: Concepts, opportunities, and challenges
Min Chen, Jia Liu, Li Pan, et al.
The Innovation (2022) Vol. 3, Iss. 6, pp. 100340-100340
Open Access | Times Cited: 42
Deep Learning-Based Spatiotemporal Fusion of Unmanned Aerial Vehicle and Satellite Reflectance Images for Crop Monitoring
Juan Xiao, Ashwani Kumar Aggarwal, R. Uday Kiran, et al.
IEEE Access (2023) Vol. 11, pp. 85600-85614
Open Access | Times Cited: 37
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
Spatio-temporal data fusion techniques for modeling digital twin City
Yuejin Li, Shengpeng Chen, Kai Hwang, et al.
Geo-spatial Information Science (2024), pp. 1-24
Open Access | Times Cited: 10
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
cuFSDAF: An Enhanced Flexible Spatiotemporal Data Fusion Algorithm Parallelized Using Graphics Processing Units
Huan Gao, Xiaolin Zhu, Qingfeng Guan, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-16
Open Access | Times Cited: 51
Spatiotemporal Remote Sensing Image Fusion Using Multiscale Two-Stream Convolutional Neural Networks
Yuehong Chen, Kaixin Shi, Yong Ge, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-12
Closed Access | Times Cited: 45
Blocks-removed spatial unmixing for downscaling MODIS images
Qunming Wang, Kaidi Peng, Yijie Tang, et al.
Remote Sensing of Environment (2021) Vol. 256, pp. 112325-112325
Closed Access | Times Cited: 42
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
Comparison of Five Spatio-Temporal Satellite Image Fusion Models over Landscapes with Various Spatial Heterogeneity and Temporal Variation
Maolin Liu, Yinghai Ke, Qi Yin, et al.
Remote Sensing (2019) Vol. 11, Iss. 22, pp. 2612-2612
Open Access | Times Cited: 45
PSTAF-GAN: Progressive Spatio-Temporal Attention Fusion Method Based on Generative Adversarial Network
Qiang Liu, Xiangchao Meng, Feng Shao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-13
Closed Access | Times Cited: 25
FastVSDF: An Efficient Spatiotemporal Data Fusion Method for Seamless Data Cube
Chen Xu, Xiaoping Du, Xiangtao Fan, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-22
Closed 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
DMNet: A Network Architecture Using Dilated Convolution and Multiscale Mechanisms for Spatiotemporal Fusion of Remote Sensing Images
Weisheng Li, Xiayan Zhang, Yidong Peng, et al.
IEEE Sensors Journal (2020) Vol. 20, Iss. 20, pp. 12190-12202
Closed Access | Times Cited: 37
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