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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:

Current State of Artificial Intelligence in Clinical Applications for Head and Neck MR Imaging
Noriyuki Fujima, Koji Kamagata, Daiju Ueda, et al.
Magnetic Resonance in Medical Sciences (2023) Vol. 22, Iss. 4, pp. 401-414
Open Access | Times Cited: 16

Showing 16 citing articles:

AI in Orthodontics: Revolutionizing Diagnostics and Treatment Planning—A Comprehensive Review
Natalia Kazimierczak, Wojciech Kazimierczak, Zbigniew Serafin, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 2, pp. 344-344
Open Access | Times Cited: 38
Data set terminology of deep learning in medicine: a historical review and recommendation
Shannon L. Walston, Hiroshi Seki, Hirotaka Takita, et al.
Japanese Journal of Radiology (2024) Vol. 42, Iss. 10, pp. 1100-1109
Closed Access | Times Cited: 6
Recent trends in AI applications for pelvic MRI: a comprehensive review
Takahiro Tsuboyama, Masahiro Yanagawa, Tomoyuki Fujioka, et al.
La radiologia medica (2024) Vol. 129, Iss. 9, pp. 1275-1287
Closed Access | Times Cited: 5
Applications of artificial intelligence in interventional oncology: An up-to-date review of the literature
Yusuke Matsui, Daiju Ueda, Shohei Fujita, et al.
Japanese Journal of Radiology (2024)
Open Access | Times Cited: 5
JJR-TOP GUN Phase 1, Year 2: new perspectives through the integration of artificial intelligence and radiology
Koji Kamagata, Shinji Naganawa
Japanese Journal of Radiology (2025)
Open Access
Dual-type deep learning-based image reconstruction for advanced denoising and super-resolution processing in head and neck T2-weighted imaging
Noriyuki Fujima, Yukie Shimizu, Yohei Ikebe, et al.
Japanese Journal of Radiology (2025)
Open Access
Advancing clinical MRI exams with artificial intelligence: Japan’s contributions and future prospects
Shohei Fujita, Yasutaka Fushimi, Rintaro Ito, et al.
Japanese Journal of Radiology (2024)
Open Access | Times Cited: 3
Overview of Target-Oriented Project Group United for Nippon (TOP GUN): fostering interdisciplinary collaboration among young researchers in radiology on timely topics
Koji Kamagata, Shinji Naganawa
Japanese Journal of Radiology (2024) Vol. 42, Iss. 9, pp. 935-936
Open Access | Times Cited: 2
Segmentation-Free Outcome Prediction from Head and Neck Cancer PET/CT Images: Deep Learning-Based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs)
Amirhosein Toosi, Isaac Shiri, Habib Zaidi, et al.
Cancers (2024) Vol. 16, Iss. 14, pp. 2538-2538
Open Access | Times Cited: 2
High Resolution TOF-MRA Using Compressed Sensing-based Deep Learning Image Reconstruction for the Visualization of Lenticulostriate Arteries: A Preliminary Study
Yuya Hirano, Noriyuki Fujima, Hiroyuki Kameda, et al.
Magnetic Resonance in Medical Sciences (2024)
Open Access | Times Cited: 2
The Evolution and Clinical Impact of Deep Learning Technologies in Breast MRI
Tomoyuki Fujioka, Shohei Fujita, Daiju Ueda, et al.
Magnetic Resonance in Medical Sciences (2024)
Open Access | Times Cited: 1
AI in Orthodontics: Revolutionizing Diagnostics and Treatment Planning
Natalia Kazimierczak, Wojciech Kazimierczak, Zbigniew Serafin, et al.
(2023)
Open Access | Times Cited: 3
Utility of Echo Planar Imaging With Compressed Sensing-Sensitivity Encoding (EPICS) for the Evaluation of the Head and Neck Region
Yuya Hirano, Noriyuki Fujima, Kinya Ishizaka, et al.
Cureus (2024)
Open Access
The Applications of Artificial Intelligence in Radiology: Opportunities and Challenges
Mariana Yordanova
European Journal of Medical and Health Sciences (2024) Vol. 6, Iss. 2, pp. 11-14
Open Access
AI Use in Mammography for Diagnosing Metachronous Contralateral Breast Cancer
Mio Adachi, Tomoyuki Fujioka, Toshiyuki Ishiba, et al.
Journal of Imaging (2024) Vol. 10, Iss. 9, pp. 211-211
Open Access
Detection of Mucous Retention Cysts Using Deep Learning Methods on Panoramic Radiographs
Sümeyye COŞGUN BAYBARS, Çağla Danacı, Seda Arslan Tuncer
Düzce Tıp Fakültesi Dergisi (2024)
Open Access
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