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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:

MSFusion: Multistage for Remote Sensing Image Spatiotemporal Fusion Based on Texture Transformer and Convolutional Neural Network
Guangqi Yang, Yurong Qian, Hui Liu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 4653-4666
Open Access | Times Cited: 22

Showing 22 citing articles:

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
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: 15
Dual-Task Interactive Learning for Unsupervised Spatio-Temporal–Spectral Fusion of Remote Sensing Images
Qiang Liu, Xu Chen, Xiangchao Meng, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-15
Closed Access | Times Cited: 14
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
A Rigorously-Incremental Spatiotemporal Data Fusion Method for Fusing Remote Sensing Images
Weipeng Jing, Tongtong Lou, Zeyu Wang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 6723-6738
Open Access | Times Cited: 7
A Temporally Insensitive Spatio-temporal Fusion Method for Remote Sensing Imagery via Semantic Prior Regularization
Qiang Liu, Xiangchao Meng, Shenfu Zhang, et al.
Information Fusion (2024), pp. 102818-102818
Closed Access | Times Cited: 2
Hyperspectral and LiDAR Representation With Spectral–Spatial Graph Network
Xingqian Du, Xiangtao Zheng, Xiaoqiang Lu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 9231-9245
Open Access | Times Cited: 5
MLKNet: Multi-Stage for Remote Sensing Image Spatiotemporal Fusion Network Based on a Large Kernel Attention
Hao Jiang, Yurong Qian, Guangqi Yang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 1257-1268
Open Access | Times Cited: 5
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
Predictive analytics for traffic flow optimization in urban logistics: A transformer-based time series approach
Qingling Tao
Science Progress (2024) Vol. 107, Iss. 3
Open Access | Times Cited: 1
An UNet3+ Network based on global pyramid aggregation for change detection in optical remote-sensing images
Yanbo Sun, Wenxing Bao, Wei Feng, et al.
Applied Computing and Geosciences (2024), pp. 100210-100210
Open Access | Times Cited: 1
The Spatially Seamless Spatiotemporal Fusion Model Based on Generative Adversarial Networks
Chenyang Weng, Yulin Zhan, Xingfa Gu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 12760-12771
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
Dual-Branch Remote Sensing Spatiotemporal Fusion Network Based on Selection Kernel Mechanism
Weisheng Li, Fengyan Wu, Dongwen Cao
Remote Sensing (2022) Vol. 14, Iss. 17, pp. 4282-4282
Open Access | Times Cited: 4
Multi-Level Interactive Fusion Network Based on Adversarial Learning for Fusion Classification of Hyperspectral and Lidar Data
Yingying Fan, Yurong Qian, Weijun Gong, et al.
(2024)
Closed Access
Wuhan Dataset: A High Resolution Dataset of Spatiotemporal Fusion for Remote Sensing Images
Xingjian Zhang, Linglin Xie, Shuang Li, et al.
IEEE Geoscience and Remote Sensing Letters (2024) Vol. 21, pp. 1-5
Closed Access
A CNN-Transformer Combined Remote Sensing Imagery Spatiotemporal Fusion Model
Mingyu Jiang, Hua Shao
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 13995-14009
Open Access
Multi-level interactive fusion network based on adversarial learning for fusion classification of hyperspectral and LiDAR data
Yingying Fan, Yurong Qian, Weijun Gong, et al.
Expert Systems with Applications (2024) Vol. 257, pp. 125132-125132
Closed Access
Adjustment of Sentinel-3 Spectral Bands With Sentinel-2 to Enhance the Quality of Spatio-Temporally Fused Images
Meryeme Boumahdi, Ángel García‐Pedrero, Mario Lillo‐Saavedra, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 584-600
Open Access | Times Cited: 1
A spatiotemporal fusion method based on interpretable deep networks
Dajiang Lei, Jiayang Tan, Yue Wu, et al.
Applied Intelligence (2023) Vol. 53, Iss. 19, pp. 21641-21659
Closed Access
STANet: Spatiotemporal Adaptive Network for Remote Sensing Images
Chenlu Hu, Mengting Ma, Xiaowen Ma, et al.
2022 IEEE International Conference on Image Processing (ICIP) (2023), pp. 3429-3433
Closed Access
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