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:

Graph neural networks for image‐guided disease diagnosis: A review
Lin Zhang, Yan Zhao, Tongtong Che, et al.
iRadiology (2023) Vol. 1, Iss. 2, pp. 151-166
Open Access | Times Cited: 9

Showing 9 citing articles:

Future direction of total neoadjuvant therapy for locally advanced rectal cancer
Yoshinori Kagawa, J. Joshua Smith, Emmanouil Fokas, et al.
Nature Reviews Gastroenterology & Hepatology (2024) Vol. 21, Iss. 6, pp. 444-455
Closed Access | Times Cited: 20

Artificial Intelligence-Based Algorithms in Medical Image Scan Segmentation and Intelligent Visual Content Generation—A Concise Overview
Zofia Rudnicka, Janusz Szczepański, Agnieszka Pręgowska
Electronics (2024) Vol. 13, Iss. 4, pp. 746-746
Open Access | Times Cited: 9

Self-supervised learning for graph-structured data in healthcare applications: A comprehensive review
Safa Ben Atitallah, Chaima Ben Rabah, Maha Driss, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109874-109874
Open Access | Times Cited: 1

Brain-Aware Readout Layers in GNNs: Advancing Alzheimer’s Early Detection and Neuroimaging
Jung‐Hae Youn, Dong Woo Kang, Hyun Kook Lim, et al.
Communications in computer and information science (2025), pp. 297-311
Closed Access

VGA‐Net: Vessel graph based attentional U‐Net for retinal vessel segmentation
Yeganeh Jalali, Mansoor Fateh, Mohsen Rezvani
IET Image Processing (2024) Vol. 18, Iss. 8, pp. 2191-2213
Open Access | Times Cited: 2

Predicting multiple sclerosis disease progression and outcomes with machine learning and MRI-based biomarkers: a review
Hibba Yousef, Brigitta Malagurski Tortei, Filippo Castiglione
Journal of Neurology (2024)
Open Access | Times Cited: 2

Graph Neural Networks for Analyzing Trauma-Related Brain Structure in Children and Adolescents: A Pilot Study
Harim Jeong, Minjoo Kang, Shanon G. McLeay, et al.
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 277-277
Open Access

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