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 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

Showing 12 citing articles:

Comparison of Machine Learning Algorithms for Flood Susceptibility Mapping
Seyd Teymoor Seydi, Yousef Kanani‐Sadat, Mahdi Hasanlou, et al.
Remote Sensing (2022) Vol. 15, Iss. 1, pp. 192-192
Open Access | Times Cited: 74

SSViT-HCD: A Spatial–Spectral Convolutional Vision Transformer for Hyperspectral Change Detection
Ayesha Shafique, Seyd Teymoor Seydi, Tayeb Alipour-Fard, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 6487-6504
Open Access | Times Cited: 18

Statistical learning algorithms for dendritic neuron model artificial neural network based on sine cosine algorithm
Hasan Hüseyin Gül, Erol Eğrioğlu, Eren Baş
Information Sciences (2023) Vol. 629, pp. 398-412
Closed Access | Times Cited: 17

Improved burned area mapping using monotemporal Landsat-9 imagery and convolutional shift-transformer
Seyd Teymoor Seydi, Mojtaba Sadegh
Measurement (2023) Vol. 216, pp. 112961-112961
Closed Access | Times Cited: 14

A critical review on multi-sensor and multi-platform remote sensing data fusion approaches: current status and prospects
Farhad Samadzadegan, Ahmad Toosi, Farzaneh Dadrass Javan
International Journal of Remote Sensing (2024), pp. 1-76
Open Access | Times Cited: 6

Exploration of geo-spatial data and machine learning algorithms for robust wildfire occurrence prediction
Svetlana Illarionova, Dmitrii Shadrin, Fedor Gubanov, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

BiAU-Net: Wildfire burnt area mapping using bi-temporal Sentinel-2 imagery and U-Net with attention mechanism
Tang Sui, Qunying Huang, Mingda Wu, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 132, pp. 104034-104034
Open Access | Times Cited: 2

Trends and applications in wildfire burned area mapping: Remote sensing data, cloud geoprocessing platforms, and emerging algorithms
Daniel Martin Nelson, Yuhong He, G. W. K. Moore
GEOMATICA (2024) Vol. 76, Iss. 1, pp. 100008-100008
Open Access | Times Cited: 2

BCD-Net: building change detection based on fully scale connected U-Net and subpixel convolution
Ayesha Shafique, Seyd Teymoor Seydi, Guo Cao
International Journal of Remote Sensing (2023) Vol. 44, Iss. 23, pp. 7416-7438
Closed Access | Times Cited: 5

A novel deep Siamese framework for burned area mapping Leveraging mixture of experts
Seyd Teymoor Seydi, Mahdi Hasanlou, Jocelyn Chanussot
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108280-108280
Closed Access | Times Cited: 1

A Novel Spectral Index for Vegetation Destruction Event Detection Based on Multispectral Remote Sensing Imagery
Chuanwu Zhao, Yaozhong Pan, Hanyi Wu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 11290-11309
Open Access | Times Cited: 1

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