Open Access Helper

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.

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Showing 10 citing articles:

Interactive and Supervised Dual-Mode Attention Network for Remote Sensing Image Change Detection
Hongjin Ren, Min Xia, Liguo Weng, et al.
IEEE Transactions on Geoscience and Remote Sensing (2025) Vol. 63, pp. 1-18
Closed Access | Times Cited: 1
Deep learning-based compression and encryption of CT images for secure telemedicine applications
S. Imaculate Rosaline, D. Paulraj
Evolving Systems (2025) Vol. 16, Iss. 1
Closed Access
Debris-flow susceptibility assessment using deep learning algorithms with GeoDetector for factor optimization
Kun Li, Junsan Zhao, Guoping Chen, et al.
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 6
Closed Access
Potential of synthetic images in landslide segmentation in data-poor scenario: a framework combining GAN and transformer models
Xiao Feng, Juan Du, Minghua Wu, et al.
Landslides (2024) Vol. 21, Iss. 9, pp. 2211-2226
Closed Access | Times Cited: 2
A side-sampling based Linformer model for landslide susceptibility assessment: a case study of the railways in China
Nan Jiang, Yange Li, Zheng Han, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2
FLSSnet: Few labeled samples segmentation network for coated fuel particle segmentation
Dezhi Yang, Jie Zhang, Jian Liu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102630-102630
Closed Access | Times Cited: 2
LandslideSegNet: an effective deep learning network for landslide segmentation using remote sensing imagery
Abdullah ŞENER, Burhan Ergen
Earth Science Informatics (2024) Vol. 17, Iss. 5, pp. 3963-3977
Open Access | Times Cited: 1
Unsupervised machine learning with different sampling strategies and topographic factors for distinguishing between landslide source and runout areas to improve landslide inventory production
Jhe-Syuan Lai, Junyi Huang, Hong-Mao Huang, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access
Integrating sentinel-2a imagery, DEM data, and spectral feature analysis for landslide detection via fully convolutional networks
Yu Qu, Hanfa Xing, Lin Sun, et al.
Landslides (2024)
Closed Access
Research on fault diagnosis method and interpretability of nuclear power plant based on hybrid transformer model
Gui Feng Zhou, Min-jun Peng, Hang Wang, et al.
Annals of Nuclear Energy (2024) Vol. 213, pp. 111157-111157
Closed Access
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