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:

Application and Performance of Artificial Intelligence Technology in Oral Cancer Diagnosis and Prediction of Prognosis: A Systematic Review
Sanjeev B. Khanagar, Sachin Naik, Abdulaziz A. Al Kheraif, et al.
Diagnostics (2021) Vol. 11, Iss. 6, pp. 1004-1004
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Artificial Intelligence in Dentistry: Past, Present, and Future
Paridhi Agrawal, Pradnya Nikhade
Cureus (2022)
Open Access | Times Cited: 159
Applications of artificial intelligence in the field of oral and maxillofacial pathology: a systematic review and meta-analysis
Nishath Sayed Abdul, Ganiga Channaiah Shivakumar, Sunila Bukanakere Sangappa, et al.
BMC Oral Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 18
Artificial intelligence in early diagnosis and prevention of oral cancer
Shruthi Hegde, Vıdya Ajıla, Wei Zhu, et al.
Asia-Pacific Journal of Oncology Nursing (2022) Vol. 9, Iss. 12, pp. 100133-100133
Open Access | Times Cited: 56
Application and Performance of Artificial Intelligence (AI) in Oral Cancer Diagnosis and Prediction Using Histopathological Images: A Systematic Review
Sanjeev B. Khanagar, Lubna Alkadi, Maryam A. Alghilan, et al.
Biomedicines (2023) Vol. 11, Iss. 6, pp. 1612-1612
Open Access | Times Cited: 36
Light gradient boosting-based prediction of quality of life among oral cancer-treated patients
Karthikeyan Ramalingam, Pradeep Kumar Yadalam, Pratibha Ramani, et al.
BMC Oral Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 15
Artificial Intelligence in Oral Cancer: A Comprehensive Scoping Review of Diagnostic and Prognostic Applications
Vineet Vinay, Praveen Jodalli, Mahesh Chavan, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 280-280
Open Access | Times Cited: 1
Diagnosis of Oral Squamous Cell Carcinoma Using Deep Neural Networks and Binary Particle Swarm Optimization on Histopathological Images: An AIoMT Approach
Mohanad A. Deif, Hani Attar, Ayman Amer, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 38
Machine learning for detection and classification of oral potentially malignant disorders: A conceptual review
Lucas Lacerda de Souza, Felipe Paiva Fonseca, Anna Luíza Damaceno Araújo, et al.
Journal of Oral Pathology and Medicine (2023) Vol. 52, Iss. 3, pp. 197-205
Closed Access | Times Cited: 18
Development of an Artificial Intelligence System for the Automatic Evaluation of Cervical Vertebral Maturation Status
Jing Zhou, Hong Zhou, Lingling Pu, et al.
Diagnostics (2021) Vol. 11, Iss. 12, pp. 2200-2200
Open Access | Times Cited: 37
Synergy between artificial intelligence and precision medicine for computer-assisted oral and maxillofacial surgical planning
Sohaib Shujaat, Marryam Riaz, Reinhilde Jacobs
Clinical Oral Investigations (2022) Vol. 27, Iss. 3, pp. 897-906
Closed Access | Times Cited: 28
Trends and Application of Artificial Intelligence Technology in Orthodontic Diagnosis and Treatment Planning—A Review
Farraj Albalawi, Khalid Alamoud
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11864-11864
Open Access | Times Cited: 24
Nano‐diagnostics as an emerging platform for oral cancer detection: Current and emerging trends
Debolina Chakraborty, Debayan Ghosh, Sanjit Kumar, et al.
Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology (2022) Vol. 15, Iss. 1
Open Access | Times Cited: 23
Systematic reviews of machine learning in healthcare: a literature review
Katarzyna Kolasa, Bisrat Yeshewas Admassu, Malwina Hołownia-Voloskova, et al.
Expert Review of Pharmacoeconomics & Outcomes Research (2023) Vol. 24, Iss. 1, pp. 63-115
Open Access | Times Cited: 16
An Efficient Technique for the Better Recognition of Oral Cancer using Support Vector Machine
J. Manikandan, Sterlin Rani Devakadacham, M. Shanthalakshmi, et al.
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (2023), pp. 1252-1257
Closed Access | Times Cited: 15
OralNet: Fused Optimal Deep Features Framework for Oral Squamous Cell Carcinoma Detection
Ramya Mohan, Arunmozhi Rama, Ramalingam Karthik Raja, et al.
Biomolecules (2023) Vol. 13, Iss. 7, pp. 1090-1090
Open Access | Times Cited: 13
Epidemiology, Diagnostics, and Therapy of Oral Cancer—Update Review
Julia Kijowska, J Grzegorczyk, Katarzyna Gliwa, et al.
Cancers (2024) Vol. 16, Iss. 18, pp. 3156-3156
Open Access | Times Cited: 4
AI illuminates paths in oral cancer: transformative insights, diagnostic precision, and personalized strategies.
Devesh U. Kapoor, Pushpendra Kumar Saini, Narendra Sharma, et al.
PubMed (2024) Vol. 23, pp. 1091-1116
Closed Access | Times Cited: 4
Using AI in Optimizing Oral and Dental Diagnoses—A Narrative Review
Amelia Surdu, Dana Gabriela Budală, Ionuț Luchian, et al.
Diagnostics (2024) Vol. 14, Iss. 24, pp. 2804-2804
Open Access | Times Cited: 4
Comparison of Different Convolutional Neural Network Activation Functions and Methods for Building Ensembles for Small to Midsize Medical Data Sets
Loris Nanni, Sheryl Brahnam, Michelangelo Paci, et al.
Sensors (2022) Vol. 22, Iss. 16, pp. 6129-6129
Open Access | Times Cited: 19
Machine Learning Predicts Patient Tangible Outcomes After Dental Implant Surgery
Pradeep Kumar Yadalam, Smith Sodhan Trivedi, Indhu Krishnamurthi, et al.
IEEE Access (2022) Vol. 10, pp. 131481-131488
Open Access | Times Cited: 17
Use of artificial intelligence software in dental education: A study on assisted proximal caries assessment in bitewing radiographs
Lars Schropp, Anders Peter Sejersdal Sørensen, Hugh Devlin, et al.
European Journal Of Dental Education (2023) Vol. 28, Iss. 2, pp. 490-496
Open Access | Times Cited: 10
Detection of Architectural Dysplastic Features from Histopathological Imagery of Oral Mucosa Using Neural Networks
Watchanan Chantapakul, Sirikanlaya Vetchaporn, Sansanee Auephanwiriyakul, et al.
Bioengineering (2025) Vol. 12, Iss. 3, pp. 216-216
Open Access
Potential of AI and ML in oncology research including diagnosis, treatment and future directions: A comprehensive prospective
Akanksha Gupta, Sarita Bajaj, Priyanshu Nema, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109918-109918
Closed Access
DİŞ HEKİMLİĞİ EĞİTİMİNDE YAPAY ZEKA
Sinem Coşkun, Özlem Çoşkun, Işıl İrem Budakoğlu
Tıp Eğitimi Dünyası (2025) Vol. 24, Iss. 72, pp. 11-23
Open Access
Diagnosis of Oral Cancer With Deep Learning. A Comparative Test Accuracy Systematic Review
Michele Nieri, Lapo Serni, Tommaso Clauser, et al.
Oral Diseases (2025)
Open Access
Page 1 - Next Page

Scroll to top