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:

Detecting micro fractures: a comprehensive comparison of conventional and machine-learning-based segmentation methods
Dongwon Lee, Nikolaos Karadimitriou, Matthias Ruf, et al.
Solid Earth (2022) Vol. 13, Iss. 9, pp. 1475-1494
Open Access | Times Cited: 17

Showing 17 citing articles:

Evaluation of pore-fracture microstructure of gypsum rock fragments using micro-CT
Filip Košek, Jan Dudák, Veronika Tymlová, et al.
Micron (2024) Vol. 181, pp. 103633-103633
Closed Access | Times Cited: 5

Development of AI crack segmentation models for additive manufacturing
Tebogo Ledwaba, Christine Steenkamp, Agnieszka Chmielewska, et al.
Tomography of Materials and Structures (2025), pp. 100053-100053
Open Access

Extraction of fractures in shale CT images using improved U-Net
Xiang Wu, Fei Wang, Xiaoqiu Zhang, et al.
Energy Geoscience (2023) Vol. 5, Iss. 2, pp. 100185-100185
Open Access | Times Cited: 9

X-ray 3D imaging–based microunderstanding of granular mixtures: Stiffness enhancement by adding small fractions of soft particles
Kianoosh Taghizadeh, Matthias Ruf, Stefan Luding, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 26
Open Access | Times Cited: 9

Super-resolution reconstruction of 3D digital rocks by deep neural networks
Shaohua You, Qinzhuo Liao, Zhengting Yan, et al.
Geoenergy Science and Engineering (2024) Vol. 237, pp. 212781-212781
Closed Access | Times Cited: 3

Using internal standards in time-resolved X-ray micro-computed tomography to quantify grain-scale developments in solid-state mineral reactions
Roberto Rizzo, Damien Freitas, James Gilgannon, et al.
Solid Earth (2024) Vol. 15, Iss. 4, pp. 493-512
Open Access | Times Cited: 2

Digital rock modeling of deformed multi-scale media in deep hydrocarbon reservoirs based on in-situ stress-loading CT imaging and U-Net deep learning
Yajie Tian, Daigang Wang, Jing Xia, et al.
Marine and Petroleum Geology (2024) Vol. 171, pp. 107177-107177
Closed Access | Times Cited: 1

Machine learning assists in increasing the time resolution of X-ray computed tomography applied to mineral precipitation in porous media
Dongwon Lee, Felix Weinhardt, Johannes Hommel, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 3

Reply on RC3
Luke Griffiths
(2023)
Open Access

Reply on RC2
Roberto Rizzo
(2023)
Open Access

Reply on RC1
Roberto Rizzo
(2023)
Open Access

Reply on RC4
Roberto Rizzo
(2023)
Open Access

Reply on RC3
Roberto Rizzo
(2023)
Open Access

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