Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Showing 1-25 of 44 citing articles:

Artificial intelligence to predict outcomes of head and neck radiotherapy
Chulmin Bang, Galaad Bernard, William Le, et al.
Clinical and Translational Radiation Oncology (2023) Vol. 39, pp. 100590-100590
Open Access | Times Cited: 26
An introduction to machine learning and generative artificial intelligence for otolaryngologists—head and neck surgeons: a narrative review
Isaac L. Alter, Karly Chan, Jérôme R. Lechien, et al.
European Archives of Oto-Rhino-Laryngology (2024) Vol. 281, Iss. 5, pp. 2723-2731
Closed Access | Times Cited: 14
Machine Learning for Predicting Complications in Head and Neck Microvascular Free Tissue Transfer
Eric J. Formeister, Rachel Baum, P. Daniel Knott, et al.
The Laryngoscope (2020) Vol. 130, Iss. 12
Closed Access | Times Cited: 62
Recent Advances in the Application of Artificial Intelligence in Otorhinolaryngology-Head and Neck Surgery
Bayu Adhi Tama, Do Hyun Kim, Gyuwon Kim, et al.
Clinical and Experimental Otorhinolaryngology (2020) Vol. 13, Iss. 4, pp. 326-339
Open Access | Times Cited: 55
Glioma Grading via Analysis of Digital Pathology Images Using Machine Learning
Saima Rathore, Tamim Niazi, Muhammad Aksam Iftikhar, et al.
Cancers (2020) Vol. 12, Iss. 3, pp. 578-578
Open Access | Times Cited: 53
Novel Machine Learning Approach for the Prediction of Hernia Recurrence, Surgical Complication, and 30-Day Readmission after Abdominal Wall Reconstruction
Abbas M. Hassan, Sheng-Chieh Lu, Malke Asaad, et al.
Journal of the American College of Surgeons (2022) Vol. 234, Iss. 5, pp. 918-927
Closed Access | Times Cited: 31
Artificial intelligence, machine learning, and deep learning in rhinology: a systematic review
Antonio Mario Bulfamante, Francesco Ferella, Austin Miller, et al.
European Archives of Oto-Rhino-Laryngology (2022) Vol. 280, Iss. 2, pp. 529-542
Open Access | Times Cited: 23
Artificial Intelligence Modeling to Predict Periprosthetic Infection and Explantation following Implant-Based Reconstruction
Abbas M. Hassan, Andrea Biaggi-Ondina, Malke Asaad, et al.
Plastic & Reconstructive Surgery (2023)
Closed Access | Times Cited: 15
A Scoping Review of Artificial Intelligence Research in Rhinology
Gabriel Osie, Rhea Darbari Kaul, Raquel Alvarado, et al.
American Journal of Rhinology and Allergy (2023) Vol. 37, Iss. 4, pp. 438-448
Open Access | Times Cited: 15
Detection of maxillary sinus fungal ball via 3-D CNN-based artificial intelligence: Fully automated system and clinical validation
Kyungsu Kim, Byung Kil Kim, Myung Jin Chung, et al.
PLoS ONE (2022) Vol. 17, Iss. 2, pp. e0263125-e0263125
Open Access | Times Cited: 21
Development and Assessment of Machine Learning Models for Individualized Risk Assessment of Mastectomy Skin Flap Necrosis
Abbas M. Hassan, Andrea P. Biaggi, Malke Asaad, et al.
Annals of Surgery (2022) Vol. 278, Iss. 1, pp. e123-e130
Closed Access | Times Cited: 21
Structure-aware deep learning for chronic middle ear disease
Zheng Wang, Jian Song, Ri Su, et al.
Expert Systems with Applications (2022) Vol. 194, pp. 116519-116519
Open Access | Times Cited: 20
Réhospitalisations non programmées après chirurgie pariétale : mise au point après revue de la littérature
B. Romain, Manon Viennet, J.‐F. Gillion, et al.
Journal de Chirurgie Viscérale (2025)
Closed Access
Unplanned rehospitalizations after abdominal wall surgery: Update according to a review of the literature
B. Romain, Manon Viennet, J.‐F. Gillion, et al.
Journal of Visceral Surgery (2025)
Closed Access
Mining Prognosis Index of Brain Metastases Using Artificial Intelligence
Shigao Huang, Jie Yang, Simon Fong, et al.
Cancers (2019) Vol. 11, Iss. 8, pp. 1140-1140
Open Access | Times Cited: 33
Segmentation and Grade Prediction of Colon Cancer Digital Pathology Images Across Multiple Institutions
Saima Rathore, Muhammad Aksam Iftikhar, Ahmad Chaddad, et al.
Cancers (2019) Vol. 11, Iss. 11, pp. 1700-1700
Open Access | Times Cited: 31
The Evolution and Application of Artificial Intelligence in Rhinology: A State of the Art Review
Ameen Amanian, Austin Heffernan, Masaru Ishii, et al.
Otolaryngology (2022) Vol. 169, Iss. 1, pp. 21-30
Open Access | Times Cited: 16
TDC-2: Multimodal Foundation for Therapeutic Science
Alejandro Velez-Arce, Kexin Huang, Michelle M. Li, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Machine Learning for Head and Neck Cancer: A Safe Bet?—A Clinically Oriented Systematic Review for the Radiation Oncologist
Stefania Volpe, Matteo Pepa, Mattia Zaffaroni, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 22
Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images
Noriyuki Fujima, V. Carlota Andreu‐Arasa, Sara K. Meibom, et al.
BMC Cancer (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 18
Personalized Plasma Medicine for Cancer: Transforming Treatment Strategies with Mathematical Modeling and Machine Learning Approaches
Viswambari Devi Ramaswamy, Michael Keidar
Applied Sciences (2023) Vol. 14, Iss. 1, pp. 355-355
Open Access | Times Cited: 7
Histogram Analysis Parameters Derived from Conventional T1- and T2-Weighted Images Can Predict Different Histopathological Features Including Expression of Ki67, EGFR, VEGF, HIF-1α, and p53 and Cell Count in Head and Neck Squamous Cell Carcinoma
Hans‐Jonas Meyer, Leonard Leifels, Gordian Hamerla, et al.
Molecular Imaging and Biology (2018) Vol. 21, Iss. 4, pp. 740-746
Closed Access | Times Cited: 23
Machine Learning Models for Predicting Facial Nerve Palsy in Parotid Gland Surgery for Benign Tumors
Carlos M. Chiesa‐Estomba, Oier Echaniz, Jon Alexander Sistiaga Suárez, et al.
Journal of Surgical Research (2021) Vol. 262, pp. 57-64
Closed Access | Times Cited: 14
Pseudocontinuous Arterial Spin Labeling: Clinical Applications and Usefulness in Head and Neck Entities
Fumine Tanaka, Maki Umino, Masayuki Maeda, et al.
Cancers (2022) Vol. 14, Iss. 16, pp. 3872-3872
Open Access | Times Cited: 9
Machine Learning-Based MRI Radiogenomics for Evaluation of Response to Induction Chemotherapy in Head and Neck Squamous Cell Carcinoma
Zheng Li, Ru Wang, Lingwa Wang, et al.
Academic Radiology (2023) Vol. 31, Iss. 6, pp. 2464-2475
Closed Access | Times Cited: 5
Page 1 - Next Page

Scroll to top