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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:

Deep Learning-Based Spatiotemporal Data Fusion Using a Patch-to-Pixel Mapping Strategy and Model Comparisons
Zurui Ao, Ying Sun, Xiaoyu Pan, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-18
Open Access | Times Cited: 21

Showing 21 citing articles:

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
VSDF: A variation-based spatiotemporal data fusion method
Chen Xu, Xiaoping Du, Zhenzhen Yan, et al.
Remote Sensing of Environment (2022) Vol. 283, pp. 113309-113309
Open Access | Times Cited: 21
Better localized predictions with Out-of-Scope information and Explainable AI: One-Shot SAR backscatter nowcast framework with data from neighboring region
Zhouyayan Li, İbrahim Demir
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 207, pp. 92-103
Open Access | Times Cited: 11
A land-cover-assisted super-resolution model for retrospective reconstruction of MODIS-like NDVI data across the continental United States by blending Landcover300m and GIMMS NDVI3g data
Zhicheng Zhang, Zhenhua Xiong, Xuewen Zhou, et al.
Ecological Indicators (2025) Vol. 171, pp. 113176-113176
Open Access
RealFusion: A reliable deep learning-based spatiotemporal fusion framework for generating seamless fine-resolution imagery
Dizhou Guo, Zhenhong Li, Xu Gao, et al.
Remote Sensing of Environment (2025) Vol. 321, pp. 114689-114689
Closed Access
Synthesizing conservation visions: Remote sensing empowerment through deep learning projections on national ecological valuation cartography
Kyungil Lee, Jinhoo Hwang, Yuyoung Choi
Forest Ecology and Management (2025) Vol. 588, pp. 122767-122767
Closed Access
A Novel Remote Sensing Spatiotemporal Data Fusion Framework Based on the Combination of Deep-Learning Downscaling and Traditional Fusion Algorithm
Dunyue Cui, Shidong Wang, Cunwei Zhao, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 7957-7970
Open Access | Times Cited: 3
A Spatio-Temporal Fusion Framework of UAV and Satellite Imagery for Winter Wheat Growth Monitoring
Yan Li, Wen Yan, Sai An, et al.
Drones (2022) Vol. 7, Iss. 1, pp. 23-23
Open Access | Times Cited: 14
Accuracy Evaluation of Four Spatiotemporal Fusion Methods for Different Time Scales
Meng Yang, Yanting Zhou, Yong Xie, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 8291-8301
Open Access | Times Cited: 2
A Hybrid Spatio-Temporal Fusion Method for High Spatial Resolution Imagery: Fusion of Gaofen-1 and Sentinel-2 over Agricultural Landscapes
Shuaijun Liu, Jia Liu, Xiao–Yue Tan, et al.
Journal of Remote Sensing (2024) Vol. 4
Open Access | Times Cited: 2
STFRDN: a residual dense network for remote sensing image spatiotemporal fusion
Fırat Erdem, Uğur Avdan
International Journal of Remote Sensing (2023) Vol. 44, Iss. 10, pp. 3259-3277
Closed Access | Times Cited: 4
A task decoupled framework for enhancing the deep learning-based spatiotemporal fusion method
Dizhou Guo, Wenzhong Shi
International Journal of Remote Sensing (2023) Vol. 44, Iss. 13, pp. 4163-4189
Closed Access | Times Cited: 4
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
A Dual-Perspective Spatiotemporal Fusion Model for Remote Sensing Images by Discriminative Learning of the Spatial and Temporal Mapping
Zhonghua Qian, Linwei Yue, Xiao Xie, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 12505-12520
Open Access | Times Cited: 1
Enhanced Multi-Stream Remote Sensing Spatiotemporal Fusion Network Based on Transformer and Dilated Convolution
Weisheng Li, Dongwen Cao, Minghao Xiang
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4544-4544
Open Access | Times Cited: 6
Mapping fine-spatial-resolution vegetation spring phenology from individual Landsat images using a convolutional neural network
Kun Xiao, Wei Wu, Ying Sun, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 9, pp. 3059-3081
Closed Access | Times Cited: 3
Better Localized Predictions with Out-of-Scope Information and Explainable AI: One-Shot SAR Backscatter Nowcast Framework with Data from Neighboring Region
Zhouyayan Li, İbrahim Demir
EarthArXiv (California Digital Library) (2023)
Open Access | Times Cited: 2
A novel spatio-temporal fusion approach combining deep learning downscaling and FSDAF method
Dunyue Cui, Zhichao Chen, Shidong Wang
Remote Sensing Letters (2023) Vol. 14, Iss. 12, pp. 1271-1282
Closed Access | Times Cited: 2
A Robust and Efficient Deep Optimization Network for Spatiotemporal Data Fusion
Decai Jin, Xiufang Zhu, Ying Qu, et al.
(2024)
Closed Access
A Local Temperature Unmixing-Based Fusion Model for Land Surface Temperature Spatiotemporal Enhancement
Haiping Xia, Yunhao Chen, Xiang Zhao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 62, pp. 1-17
Closed Access
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