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:

Artificial Intelligence in Head and Neck Imaging
Kyle Werth, Luke Ledbetter
Neuroimaging Clinics of North America (2020) Vol. 30, Iss. 3, pp. 359-368
Closed Access | Times Cited: 12

Showing 12 citing articles:

Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives
Nian‐Nian Zhong, Hanqi Wang, Xin-Yue Huang, et al.
Seminars in Cancer Biology (2023) Vol. 95, pp. 52-74
Closed Access | Times Cited: 38

Clinical application of MR-Linac in tumor radiotherapy: a systematic review
Xin Liu, Zhenjiang Li, Yong Yin
Radiation Oncology (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 20

Surgical margins in head and neck squamous cell carcinoma: a narrative review
Yang Chen, Nian‐Nian Zhong, Lei‐Ming Cao, et al.
International Journal of Surgery (2024)
Open Access | Times Cited: 3

Artificial Intelligence and Deep Learning of Head and Neck Cancer
Ahmed Abdel Khalek Abdel Razek, Reem Khaled, Eman Mohamed Helmy, et al.
Magnetic Resonance Imaging Clinics of North America (2021) Vol. 30, Iss. 1, pp. 81-94
Closed Access | Times Cited: 16

Magnetic Resonance-Guided Radiation Therapy for Head and Neck Cancers
Danny Lavigne, Sweet Ping Ng, Brian O’Sullivan, et al.
Current Oncology (2022) Vol. 29, Iss. 11, pp. 8302-8315
Open Access | Times Cited: 9

Magnetic Resonance Guided Radiotherapy for Head and Neck Cancers
Laila A. Gharzai, Benjamin Rosen, Bharat B. Mittal, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 5, pp. 1388-1388
Open Access | Times Cited: 6

Advances in and applications of imaging and radiomics in head and neck cancer survivorship
Laurelie R. Wishart, Elizabeth C. Ward, Graham J. Galloway
Current Opinion in Otolaryngology & Head & Neck Surgery (2023) Vol. 31, Iss. 6, pp. 368-373
Closed Access | Times Cited: 3

Radiomics and deep learning approach to the differential diagnosis of parotid gland tumors
Emrah Gündüz, Ömer Faruk Alçin, Ahmet Kızılay, et al.
Current Opinion in Otolaryngology & Head & Neck Surgery (2021) Vol. 30, Iss. 2, pp. 107-113
Closed Access | Times Cited: 6

From Pixels to Predictions: Exploring the Role of Artificial Intelligence in Radiology
M. J. Akshit Aiyappa, B. Suresh Kumar Shetty
Biological and medical physics series (2024), pp. 63-102
Closed Access

Modern Thyroid Cancer Diagnosis: A Review of AI-Powered Algorithms for Detection and Classification
Kuntala Boruah, Lachit Dutta, Manash Kapil Pathak
INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING (2024)
Closed Access

Artificial intelligence in head neck cancer full of potential BUT filled with landmines
Shrikant B. Mali, Sachinkumar Dahivelkar, G.L. Pradeep
Oral Oncology Reports (2023) Vol. 6, pp. 100035-100035
Open Access

Radiomics Breakthrough Could Spark the Head and Neck Cancer Radiotherapy Revolution
Camil Ciprian Mireștean, Roxana Irina Iancu, Dragoș Petru Teodor Iancu
Journal of Medical and Radiation Oncology (2023) Vol. 3, Iss. 1, pp. 11-19
Open Access

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