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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:

New framework for hyperspectral change detection based on multi-level spectral unmixing
Seyd Teymoor Seydi, Reza Shah-Hosseini, Mahdi Hasanlou
Applied Geomatics (2021) Vol. 13, Iss. 4, pp. 763-780
Closed Access | Times Cited: 16

Showing 16 citing articles:

A New Structure for Binary and Multiple Hyperspectral Change Detection Based on Spectral Unmixing and Convolutional Neural Network
Seyd Teymoor Seydi, Mahdi Hasanlou
Measurement (2021) Vol. 186, pp. 110137-110137
Closed Access | Times Cited: 33
Progressive pseudo-label framework for unsupervised hyperspectral change detection
Qiuxia Li, Tingkui Mu, Abudusalamu Tuniyazi, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 127, pp. 103663-103663
Open Access | Times Cited: 5
A fast hyperspectral change detection algorithm for agricultural crops based on spatial reconstruction
Jianghong Yuan, Eryang Chen, Haiyin Qing
PLoS ONE (2025) Vol. 20, Iss. 5, pp. e0323446-e0323446
Open Access
Consensus Techniques for Unsupervised Binary Change Detection Using Multi-Scale Segmentation Detectors for Land Cover Vegetation Images
F. Javier Cardama, Dora B. Heras, Francisco Argüello
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2889-2889
Open Access | Times Cited: 9
A Quadratic Morphological Deep Neural Network Fusing Radar and Optical Data for the Mapping of Burned Areas
Seyd Teymoor Seydi, Mahdi Hasanlou, Jocelyn Chanussot
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 4194-4216
Open Access | Times Cited: 12
Spatial Validation of Spectral Unmixing Results: A Systematic Review
Rosa Maria Cavalli
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2822-2822
Open Access | Times Cited: 7
Fusion of the Multisource Datasets for Flood Extent Mapping Based on Ensemble Convolutional Neural Network (CNN) Model
Seyd Teymoor Seydi, Vahideh Saeidi, Bahareh Kalantar, et al.
Journal of Sensors (2022) Vol. 2022, pp. 1-20
Open Access | Times Cited: 11
An Efficient Feature Extraction Network for Unsupervised Hyperspectral Change Detection
Hongyu Zhao, Kaiyuan Feng, Yue Wu, et al.
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4646-4646
Open Access | Times Cited: 11
An Integrated Change Detection Method Based on Spectral Unmixing and the CNN for Hyperspectral Imagery
Haishan Li, Ke Wu, Ying Xu
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2523-2523
Open Access | Times Cited: 10
A Superpixel-by-Superpixel Clustering Framework for Hyperspectral Change Detection
Qiuxia Li, Tingkui Mu, Hang Gong, et al.
Remote Sensing (2022) Vol. 14, Iss. 12, pp. 2838-2838
Open Access | Times Cited: 9
A fast hyperspectral change detection algorithm for agricultural crops based on low-rank matrix and morphological feature extraction
Jin Wang, Lifu Zhang, Ruoxi Song, et al.
Frontiers in Sustainable Food Systems (2024) Vol. 8
Open Access | Times Cited: 1
Forest Burned Area Mapping Using Bi-Temporal Sentinel-2 Imagery Based on a Convolutional Neural Network: Case Study in Golestan Forest
Fattah Hatami Maskouni, Seyd Teymoor Seydi
(2021), pp. 6-6
Open Access | Times Cited: 8
Spectrum-Induced Transformer-Based Feature Learning for Multiple Change Detection in Hyperspectral Images
Wuxia Zhang, Yuhang Zhang, Shiwen Gao, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 62, pp. 1-12
Closed Access | Times Cited: 3
Unsupervised and Self-Supervised Tensor Train for Change Detection in Multitemporal Hyperspectral Images
Muhammad Sohail, Haonan Wu, Zhao Chen, et al.
Electronics (2022) Vol. 11, Iss. 9, pp. 1486-1486
Open Access | Times Cited: 5
Quadratic Clustering-Based Simplex Volume Maximization for Hyperspectral Endmember Extraction
Xiangyue Zhang, Yueming Wang, Tianru Xue
Applied Sciences (2022) Vol. 12, Iss. 14, pp. 7132-7132
Open Access
Convolutional Deep Kernel Method for Land Cover Mapping from Hyperspectral Imagery
Mohsen Ansari, Weimin Huang, Saeid Homayouni, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2022) Vol. 22, pp. 1384-1387
Closed Access
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