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:

Feasibility of AI-assisted compressed sensing protocols in knee MR imaging: a prospective multi-reader study
Qizheng Wang, Weili Zhao, Xiaoying Xing, et al.
European Radiology (2023) Vol. 33, Iss. 12, pp. 8585-8596
Open Access | Times Cited: 13

Showing 13 citing articles:

Comprehensive assessment of imaging quality of artificial intelligence-assisted compressed sensing-based MR images in routine clinical settings
Adiraju Karthik, Kamal Aggarwal, Aakaar Kapoor, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4

Assessment of knee cartilage using accelerated 3 T MRI: Evaluation of an isotropic 3D fast spin-echo sequence (CUBE) with compressed sensing technique
Thibault Willaume, Matthieu Ehlinger, Henri Favreau, et al.
Magnetic Resonance Imaging (2025) Vol. 117, pp. 110321-110321
Closed Access

AI-Assisted Compressed Sensing Enables Faster Brain MRI for the Elderly: Image Quality and Diagnostic Equivalence with Conventional Imaging
Wenquan Gu, Chunhong Yang, Yuhui Wang, et al.
International Journal of General Medicine (2025) Vol. Volume 18, pp. 379-390
Open Access

Innovations in artificial intelligence for pet/mr imaging: Application and performance analysis
Hanzhong Wang, Yue Wang, Xing Chen, et al.
Journal of X-Ray Science and Technology (2025)
Closed Access

Deep Learning–Based Super-Resolution Reconstruction on Undersampled Brain Diffusion-Weighted MRI for Infarction Stroke: A Comparison to Conventional Iterative Reconstruction
Shuo Zhang, M. Zhong, Hanxu Shenliu, et al.
American Journal of Neuroradiology (2024) Vol. 46, Iss. 1, pp. 41-48
Closed Access | Times Cited: 2

A Feasibility Study of AI-Assisted Compressed Sensing in Prostate T2-Weighted Imaging
Liting Shen, Hui Xu, Qian Liao, et al.
Academic Radiology (2024) Vol. 31, Iss. 12, pp. 5022-5033
Closed Access | Times Cited: 1

Impact of artificial intelligence assisted compressed sensing technique on scan time and image quality in musculoskeletal MRI – A systematic review
Priyanka Priyanka, Rajagopal Kadavigere, S Nayak S, et al.
Radiography (2024) Vol. 30, Iss. 6, pp. 1704-1712
Open Access | Times Cited: 1

Bone Marrow Lesions in Osteoarthritis: Characterising Genetic and Histological Changes to Understand Disease Pathophysiology
Nidhi Sofat, Franklyn A. Howe
Osteoarthritis and Cartilage Open (2024) Vol. 6, Iss. 4, pp. 100531-100531
Open Access | Times Cited: 1

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