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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:

Histopathologic Oral Cancer Prediction Using Oral Squamous Cell Carcinoma Biopsy Empowered with Transfer Learning
Atta Rahman, Abdullah Alqahtani, Nahier Aldhafferi, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3833-3833
Open Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

An Explainable Deep Learning Approach for Oral Cancer Detection
P. Ashok Babu, Anjani Kumar, Janjhyam Venkata Naga Ramesh, et al.
Journal of Electrical Engineering and Technology (2023)
Closed Access | Times Cited: 48
Oral squamous cell carcinoma detection using EfficientNet on histopathological images
Eid Albalawi, Arastu Thakur, Mahesh Thyluru Ramakrishna, et al.
Frontiers in Medicine (2024) Vol. 10
Open Access | Times Cited: 34
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: 16
IoMT-Based Osteosarcoma Cancer Detection in Histopathology Images Using Transfer Learning Empowered with Blockchain, Fog Computing, and Edge Computing
Muhammad Umar Nasir, Safiullah Khan, Shahid Mehmood, et al.
Sensors (2022) Vol. 22, Iss. 14, pp. 5444-5444
Open Access | Times Cited: 44
A Comprehensive assessment of Convolutional Neural Networks for skin and oral cancer detection using medical images
Dhatri Raval, Jaimin N. Undavia
Healthcare Analytics (2023) Vol. 3, pp. 100199-100199
Open Access | Times Cited: 30
Data Mining Approach to Predict Success of Secondary School Students: A Saudi Arabian Case Study
Amnah Saeed Alghamdi, Atta Rahman
Education Sciences (2023) Vol. 13, Iss. 3, pp. 293-293
Open Access | Times Cited: 24
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
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
Advance Genome Disorder Prediction Model Empowered With Deep Learning
Atta Rahman, Muhammad Umar Nasir, Mohammed Gollapalli, et al.
IEEE Access (2022) Vol. 10, pp. 70317-70328
Open Access | Times Cited: 36
Early Diagnosis of Oral Squamous Cell Carcinoma Based on Histopathological Images Using Deep and Hybrid Learning Approaches
Suliman Mohamed Fati, Ebrahim Mohammed Senan, Yasir Javed
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1899-1899
Open Access | Times Cited: 36
Deep convolutional neural networks information fusion and improved whale optimization algorithm based smart oral squamous cell carcinoma classification framework using histopathological images
Momina Meer, Muhammad Attique Khan, Kiran Jabeen, et al.
Expert Systems (2024) Vol. 42, Iss. 1
Closed Access | Times Cited: 7
A Review on Machine Learning Approaches in Identification of Pediatric Epilepsy
Mohammed Imran Basheer Ahmed, Shamsah Alotaibi, Atta Rahman, et al.
SN Computer Science (2022) Vol. 3, Iss. 6
Open Access | Times Cited: 26
Kidney Cancer Prediction Empowered with Blockchain Security Using Transfer Learning
Muhammad Umar Nasir, Muhammad Zubair, Taher M. Ghazal, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7483-7483
Open Access | Times Cited: 26
Artificial Intelligence for Image Analysis in Oral Squamous Cell Carcinoma: A Review
Vanesa Pereira‐Prado, Felipe Martins Silveira, Estafanía Sicco, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2416-2416
Open 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
Multi-Method Analysis of Histopathological Image for Early Diagnosis of Oral Squamous Cell Carcinoma Using Deep Learning and Hybrid Techniques
Mehran Ahmad, Muhammad Abeer Irfan, Umar Sadique, et al.
Cancers (2023) Vol. 15, Iss. 21, pp. 5247-5247
Open Access | Times Cited: 13
Supremacy of attention-based transformer in oral cancer classification using histopathology images
Bhaswati Singha Deo, Mayukha Pal, Prasanta K. Panigrahi, et al.
International Journal of Data Science and Analytics (2024)
Closed Access | Times Cited: 5
IoMT-Based Mitochondrial and Multifactorial Genetic Inheritance Disorder Prediction Using Machine Learning
Atta Rahman, Muhammad Umar Nasir, Mohammed Gollapalli, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 19
Benign and Malignant Oral Lesion Image Classification Using Fine-Tuned Transfer Learning Techniques
Md. Monirul Islam, K. M. Rafiqul Alam, Jia Uddin, et al.
Diagnostics (2023) Vol. 13, Iss. 21, pp. 3360-3360
Open Access | Times Cited: 12
Unveiling the Future of Oral Squamous Cell Carcinoma Diagnosis: An Innovative Hybrid AI Approach for Accurate Histopathological Image Analysis
Ihtisham Ul Haq, Mehran Ahmed, Muhammad Assam, et al.
IEEE Access (2023) Vol. 11, pp. 118281-118290
Open Access | Times Cited: 11
Explainable label guided lightweight network with axial transformer encoder for early detection of oral cancer
Dhirendra Prasad Yadav, Bhisham Sharma, Ajit Noonia, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Automatic oral cancer detection using deep learning techniques
T. Sundari, M. Maheswari
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107731-107731
Closed Access
Artificial intelligence based classification and prediction of medical imaging using a novel framework of inverted and self-attention deep neural network architecture
Junaid Aftab, Muhammad Attique Khan, Sobia Arshad, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
BFuse-Net: Bonferroni Mean Operator-Aided Fusion of Neural Networks for Medical Image Classification
Triyas Ghosh, Soham Chakraborty, Dmitrii Kaplun, et al.
Lecture notes in electrical engineering (2025), pp. 100-109
Closed Access
Systematic exo-endo encapsulation of hydroxyurea (HU) by Cu, Ag, and Au-doped gallium nitride nanotubes (GaNNT) for smart therapeutic delivery
Hitler Louis, E Mbim, Gideon A. Okon, et al.
Computers in Biology and Medicine (2023) Vol. 161, pp. 106934-106934
Closed Access | Times Cited: 10
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