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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 Quantitative Magnetic Resonance Fingerprinting in Ovarian Tumors for T1 and T2 Mapping in a PET/MR Setting
Joshua Kaggie, Martin J. Graves, Ferdia A. Gallagher, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences (2019) Vol. 3, Iss. 4, pp. 509-515
Open Access | Times Cited: 15

Showing 15 citing articles:

MRI techniques for immunotherapy monitoring
Doreen Lau, Pippa Corrie, Ferdia A. Gallagher
Journal for ImmunoTherapy of Cancer (2022) Vol. 10, Iss. 9, pp. e004708-e004708
Open Access | Times Cited: 21
Three dimensional MRF obtains highly repeatable and reproducible multi-parametric estimations in the healthy human brain at 1.5T and 3T
Guido Buonincontri, Jan W. Kurzawski, Joshua Kaggie, et al.
NeuroImage (2020) Vol. 226, pp. 117573-117573
Open Access | Times Cited: 31
Study of T2 mapping in quantifying and discriminating uterine lesions under different magnetic field strengths: 1.5 T vs. 3.0 T
Liuhong Zhu, Weihong Lu, Funan Wang, et al.
BMC Medical Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 10
Emerging Trends in Magnetic Resonance Fingerprinting for Quantitative Biomedical Imaging Applications: A Review
Anmol Monga, Dilbag Singh, Hector Lise de Moura, et al.
Bioengineering (2024) Vol. 11, Iss. 3, pp. 236-236
Open Access | Times Cited: 3
Magnetic resonance fingerprinting of the pancreas at 1.5 T and 3.0 T
Eva M. Serrao, Dimitri A. Kessler, Bruno Carmo, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 23
Magnetic Resonance Fingerprinting
Sonia Gaur, Ananya Panda, Jesus E. Fajardo, et al.
Investigative Radiology (2023)
Open Access | Times Cited: 7
Feline Wolf Net: A Hybrid Lion-Grey Wolf Optimization Deep Learning Model for Ovarian Cancer Detection
Moresh Mukhedkar, Divya Rohatgi, Veera Ankalu Vuyyuru, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 9
Open Access | Times Cited: 4
Current Applications and Future Development of Magnetic Resonance Fingerprinting in Diagnosis, Characterization, and Response Monitoring in Cancer
Hao Ding, Carlos Velasco, Huihui Ye, et al.
Cancers (2021) Vol. 13, Iss. 19, pp. 4742-4742
Open Access | Times Cited: 9
Comparing Magnetic Resonance Fingerprinting (MRF) and the MAGiC Sequence for Simultaneous T1 and T2 Quantitative Measurements in the Female Pelvis: A Prospective Study
Bo-Syuan Huang, Ching‐Yi Hsieh, Wen-Yen Chai, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2147-2147
Open Access | Times Cited: 2
Test–retest assessment of non-contrast MRI sequences to characterise and quantify the small bowel wall in healthy participants
Ali S. Alyami, Hannah Williams, Konstantinos Argyriou, et al.
Magnetic Resonance Materials in Physics Biology and Medicine (2021) Vol. 34, Iss. 6, pp. 791-804
Open Access | Times Cited: 5
The Role of Native T1 and T2 Mapping Times in Identifying PD-L1 Expression and the Histological Subtype of NSCLCs
Chandra Bortolotto, Gaia Messana, Antonio Lo Tito, et al.
Cancers (2023) Vol. 15, Iss. 12, pp. 3252-3252
Open Access | Times Cited: 1
Repeatability of quantitative MR fingerprinting for T1 and T2 measurements of metastatic bone in prostate cancer patients
Mihaela Rata, Matthew Orton, Nina Tunariu, et al.
European Radiology (2024)
Open Access
Repeatability of MR fingerprinting in normal cervix and utility in cervical carcinoma
Mandi Wang, Jose Angelo Udal Perucho, Peng Cao, et al.
Quantitative Imaging in Medicine and Surgery (2021) Vol. 11, Iss. 9, pp. 3990-4003
Open Access | Times Cited: 3
Early detection and classification of liver diseases in ultrasound images using hybrid machine learning techniques
Prasad Adaguru Yogegowda, Jyoti Metan, K S Ananda Kumar, et al.
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 27
Closed Access | Times Cited: 1
Early detection of liver disorders using hybrid soft computing techniques for optimal feature selection and classification
Manjunath Varchagall, Prasad Adaguru Yogegowda
Concurrency and Computation Practice and Experience (2022) Vol. 35, Iss. 6, pp. 1-1
Closed Access | Times Cited: 1
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