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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:

Artificial Intelligence in Head and Neck Cancer: A Systematic Review of Systematic Reviews
Antti Mäkitie, Rasheed Omobolaji Alabi, Sweet Ping Ng, et al.
Advances in Therapy (2023) Vol. 40, Iss. 8, pp. 3360-3380
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Efficacy and Empathy of AI Chatbots in Answering Frequently Asked Questions on Oral Oncology
Rata Rokhshad, Zaid H. Khoury, Hossein Mohammad‐Rahimi, et al.
Oral Surgery Oral Medicine Oral Pathology and Oral Radiology (2025)
Closed Access
Reliability of large language models for advanced head and neck malignancies management: a comparison between ChatGPT 4 and Gemini Advanced
Andrea De Lorenzi, Giorgia Pugliese, Antonino Maniaci, et al.
European Archives of Oto-Rhino-Laryngology (2024) Vol. 281, Iss. 9, pp. 5001-5006
Open Access | Times Cited: 5
Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions
Tuan D. Pham, Muy‐Teck Teh, Domniki Chatzopoulou, et al.
Current Oncology (2024) Vol. 31, Iss. 9, pp. 5255-5290
Open Access | Times Cited: 4
Potential application of artificial intelligence in cancer therapy
Irbaz Bin Riaz, Muhammad Ali Khan, Tufia C. Haddad
Current Opinion in Oncology (2024) Vol. 36, Iss. 5, pp. 437-448
Closed Access | Times Cited: 3
The Future of Oral Oncology: How Artificial Intelligence is Redefining Surgical Procedures and Patient Management
Marwan Al‐Raeei
International Dental Journal (2024)
Open Access | Times Cited: 3
Artificial intelligence in head and neck surgery: Potential applications and future perspectives
Bartosz Wojtera, Mateusz Szewczyk, Piotr Pieńkowski, et al.
Journal of Surgical Oncology (2024) Vol. 129, Iss. 6, pp. 1051-1055
Closed Access | Times Cited: 2
Standardization, Collaboration, and Education in the Implementation of Artificial Intelligence in Otolaryngology
Emily Evangelista, Yaël Bensoussan
Otolaryngologic Clinics of North America (2024) Vol. 57, Iss. 5, pp. 897-908
Closed Access | Times Cited: 2
Generative Adversarial Networks (GANs) in the Field of Head and Neck Surgery: Current Evidence and Prospects for the Future—A Systematic Review
Luca Michelutti, Alessandro Tel, Marco Zeppieri, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 12, pp. 3556-3556
Open Access | Times Cited: 1
Artificial intelligence for automatic detection and segmentation of nasal polyposis: a pilot study
Vittorio Rampinelli, Alberto Paderno, C Conti, et al.
European Archives of Oto-Rhino-Laryngology (2024) Vol. 281, Iss. 11, pp. 5815-5821
Closed Access | Times Cited: 1
Improving readability and comprehension levels of otolaryngology patient education materials using ChatGPT
A. Oliva, Luke J. Pasick, Michael E. Hoffer, et al.
American Journal of Otolaryngology (2024) Vol. 45, Iss. 6, pp. 104502-104502
Closed Access | Times Cited: 1
The Use of Artificial Intelligence Algorithms in the Prognosis and Detection of Lymph Node Involvement in Head and Neck Cancer and Possible Impact in the Development of Personalized Therapeutic Strategy: A Systematic Review
Luca Michelutti, Alessandro Tel, Marco Zeppieri, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 12, pp. 1626-1626
Open Access | Times Cited: 2
Can artificial intelligence (AI) Predict the risk of oral cancer?
Bharath Kumar Jayam, Aravind Kumar Subramanian
Oral Oncology Reports (2024) Vol. 9, pp. 100237-100237
Open Access
Middle ear-acquired cholesteatoma diagnosis based on CT scan image mining using supervised machine learning models
Naouar Ouattassi, Mustapha Maâroufi, Hajar Slaoui, et al.
Beni-Suef University Journal of Basic and Applied Sciences (2024) Vol. 13, Iss. 1
Open Access
Cervical cancer prediction using machine learning models based on blood routine analysis
Jie Su, Hui Lu, RuiHuan Zhang, et al.
Research Square (Research Square) (2024)
Open Access
Artificial Intelligence in Head and Neck Cancer Diagnosis: A Comprehensive Review with Emphasis on Radiomics, Histopathological, and Molecular Applications
Giuseppe Broggi, Antonino Maniaci, Mario Lentini, et al.
Cancers (2024) Vol. 16, Iss. 21, pp. 3623-3623
Open Access
Annual review of selected scientific literature: A report of the Committee on Scientific Investigation of the American Academy of Restorative Dentistry
David R. Cagna, Terence E. Donovan, James R. McKee, et al.
Journal of Prosthetic Dentistry (2024)
Closed Access
Application of Artificial Intelligence in Dentistry- A Review Article
Sam Sobhani, Afshin Haraji, Morteza Neshandar, et al.
Deleted Journal (2024) Vol. 21, Iss. 3, pp. 242-250
Open Access
A bibliometrics analysis based on the application of artificial intelligence in the field of radiotherapy from 2003 to 2023
Minghe Lv, Yue Feng, Su Zeng, et al.
Radiation Oncology (2024) Vol. 19, Iss. 1
Open Access
Collaborative machine learning-guided overall survival prediction of oral squamous cell carcinoma
Rasheed Omobolaji Alabi, Mohammed Elmusrati, Ilmo Leivo, et al.
Acta Oto-Laryngologica (2024), pp. 1-8
Closed Access
Head and Neck Oncopathology: Past, Present and Future, a Journey of four decades
Shubhada Kane
Journal of Head & Neck Physicians and Surgeons (2024) Vol. 12, Iss. 1, pp. 1-6
Open Access
Deep learning with uncertainty estimation for automatic tumor segmentation in PET/CT of head and neck cancers: Impact of model complexity, image processing and augmentation
Bao Ngoc Huynh, Aurora Rosvoll Groendahl, Oliver Tomić, et al.
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 5, pp. 055038-055038
Closed Access
Revolution of Medical Review: The Application of Meta-Analysis and Convolutional Neural Network-Natural Language Processing in Classifying the Literature for Head and Neck Cancer Radiotherapy
Tsair-Fwu Lee, Chu-Ho Chang, Jen-Chung Shao, et al.
Cancer Control (2024) Vol. 31
Open Access
Predicting excellent response to radioiodine in differentiated thyroid cancer using machine learning
Ogün Bülbül, Demet Nak
Acta Otorhinolaryngologica Italica (2024) Vol. 44, Iss. 4, pp. 261-268
Open Access
Imaging Tumor Metabolism and Its Heterogeneity: Special Focus on Radiomics and AI
László Papp, David Haberl, Boglarka Ecsedi, et al.
Interdisciplinary cancer research (2024)
Closed Access
Machine Learning Applications in Acute Coronary Syndrome: Diagnosis, Outcomes and Management
Shanshan Nie, Shan Zhang, Yuhang Zhao, et al.
Advances in Therapy (2024) Vol. 42, Iss. 2, pp. 636-665
Closed Access
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