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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:

A novel lightweight deep convolutional neural network for early detection of oral cancer
Fahed Jubair, Omar Al‐karadsheh, Dimitrios Malamos, et al.
Oral Diseases (2021) Vol. 28, Iss. 4, pp. 1123-1130
Closed Access | Times Cited: 122

Showing 1-25 of 122 citing articles:

Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives
Nian‐Nian Zhong, Hanqi Wang, Xinyue Huang, et al.
Seminars in Cancer Biology (2023) Vol. 95, pp. 52-74
Closed Access | Times Cited: 45
A systematic review of artificial intelligence techniques for oral cancer detection
C. Kavyashree, H S Vimala, J Shreyas
Healthcare Analytics (2024) Vol. 5, pp. 100304-100304
Open Access | Times Cited: 18
Deep learning in oral cancer- a systematic review
Kritsasith Warin, Siriwan Suebnukarn
BMC Oral Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 18
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
The Effectiveness of Artificial Intelligence in Detection of Oral Cancer
Natheer Al‐Rawi, Afrah Sultan, Batool Rajai, et al.
International Dental Journal (2022) Vol. 72, Iss. 4, pp. 436-447
Open Access | Times Cited: 65
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
Deep Machine Learning for Oral Cancer: From Precise Diagnosis to Precision Medicine
Rasheed Omobolaji Alabi, Alhadi Almangush, Mohammed Elmusrati, et al.
Frontiers in Oral Health (2022) Vol. 2
Open Access | Times Cited: 55
Towards Secure and Intelligent Internet of Health Things: A Survey of Enabling Technologies and Applications
Umar Zaman, Imran Imran, Faisal Mehmood, et al.
Electronics (2022) Vol. 11, Iss. 12, pp. 1893-1893
Open Access | Times Cited: 49
Optimal deep learning neural network using ISSA for diagnosing the oral cancer
Qirui Huang, Huan Ding, Navid Razmjooy
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104749-104749
Closed Access | Times Cited: 39
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
Revolutionizing Oral Cancer Detection: An Approach Using Aquila and Gorilla Algorithms Optimized Transfer Learning-Based CNNs
Mahmoud Badawy, Hossam Magdy Balaha, Ahmed S. Maklad, et al.
Biomimetics (2023) Vol. 8, Iss. 6, pp. 499-499
Open Access | Times Cited: 26
Machine learning concepts applied to oral pathology and oral medicine: A convolutional neural networks' approach
Anna Luíza Damaceno Araújo, Viviane Mariano da Silva, Maíra Suzuka Kudo, et al.
Journal of Oral Pathology and Medicine (2023) Vol. 52, Iss. 2, pp. 109-118
Closed Access | Times Cited: 25
An ensemble deep learning model with empirical wavelet transform feature for oral cancer histopathological image classification
Bhaswati Singha Deo, Mayukha Pal, Prasanta K. Panigrahi, et al.
International Journal of Data Science and Analytics (2024)
Open Access | Times Cited: 14
Artificial intelligence for classification and detection of oral mucosa lesions on photographs: a systematic review and meta-analysis
Rata Rokhshad, Hossein Mohammad‐Rahimi, Jeffery B. Price, et al.
Clinical Oral Investigations (2024) Vol. 28, Iss. 1
Closed Access | Times Cited: 13
Advanced deep learning algorithms in oral cancer detection: Techniques and applications
Dipali Wankhade, Chitra Dhawale, Mrunal Meshram
Journal of Environmental Science and Health Part C (2025), pp. 1-26
Closed Access | Times Cited: 1
Convolutional neural networks for accurate real-time diagnosis of oral epithelial dysplasia and oral squamous cell carcinoma using high-resolution in vivo confocal microscopy
Rishi Sanjay Ramani, Ivy Tan, Lindsay Bussau, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Artificial intelligence and the diagnosis of oral cavity cancer and oral potentially malignant disorders from clinical photographs: a narrative review
Payam Mirfendereski, Grace Y. Li, Alexander T. Pearson, et al.
Frontiers in Oral Health (2025) Vol. 6
Open Access | Times Cited: 1
Deep learning for osteoarthritis classification in temporomandibular joint
Won Seok Jung, Kyung‐Eun Lee, Bong‐Jik Suh, et al.
Oral Diseases (2021) Vol. 29, Iss. 3, pp. 1050-1059
Closed Access | Times Cited: 45
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
A Convolutional Neural Network Based Deep Learning Algorithm for Identification of Oral Precancerous and Cancerous Lesion and Differentiation from Normal Mucosa: A Retrospective Study
Disha Sharma, Vidya Kudva, Vathsala Patil, et al.
Engineered Science (2022)
Open Access | Times Cited: 32
Deep transfer learning techniques with hybrid optimization in early prediction and diagnosis of different types of oral cancer
Khushboo Bansal, R. K. Bathla, Yogesh Kumar
Soft Computing (2022)
Closed Access | Times Cited: 31
Temporomandibular Joint Osteoarthritis Diagnosis Employing Artificial Intelligence: Systematic Review and Meta-Analysis
Oana Almășan, Daniel-Corneliu Leucuţa, Mihaela Hedeșiu, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 3, pp. 942-942
Open Access | Times Cited: 19
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
Diagnostic accuracy of artificial intelligence assisted clinical imaging in the detection of oral potentially malignant disorders and oral cancer: A systematic review and meta-analysis
Jingwen Li, Wai Ying Kot, Colman McGrath, et al.
International Journal of Surgery (2024)
Open Access | Times Cited: 8
Enhancing oral squamous cell carcinoma detection: a novel approach using improved EfficientNet architecture
Aradhana Soni, Prabira Kumar Sethy, Amit Kumar Dewangan, et al.
BMC Oral Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 7
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