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:

An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars
Riccardo La Grassa, Ignazio Gallo, Cristina Re, et al.
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4619-4619
Open Access | Times Cited: 5

Showing 5 citing articles:

YOLOLens: A Deep Learning Model Based on Super-Resolution to Enhance the Crater Detection of the Planetary Surfaces
Riccardo La Grassa, G. Cremonese, Ignazio Gallo, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1171-1171
Open Access | Times Cited: 19

Learning to Adapt CLIP for Few-Shot Monocular Depth Estimation
Xueting Hu, Ce Zhang, Yi Zhang, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 5582-5591
Open Access | Times Cited: 4

Impact crater recognition methods: A review
Dong Chen, Fan Hu, Liqiang Zhang, et al.
Science China Earth Sciences (2024) Vol. 67, Iss. 6, pp. 1719-1742
Closed Access | Times Cited: 4

LoGAN: A novel local attentive generative adversarial resizable network for detailed 3D reconstruction of the Martian surface using monocular HiRISE images and DTMs
Jiarui Cao, Rong Huang, Yusheng Xu, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 225, pp. 302-327
Closed Access

Deep Learning-Based Modeling of High-Resolution Lunar Topography Using Orbiter Imagery
Hao Chen, Philipp Gläser, Xuanyu Hu, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 6084-6087
Closed Access

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