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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:

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: 36

Showing 1-25 of 36 citing articles:

A Current Review of Machine Learning and Deep Learning Models in Oral Cancer Diagnosis: Recent Technologies, Open Challenges, and Future Research Directions
Shriniket Dixit, Anant Kumar, Kathiravan Srinivasan
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1353-1353
Open Access | Times Cited: 55
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: 30
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: 34
Development of a Hybrid Support Vector Machine with Grey Wolf Optimization Algorithm for Detection of the Solar Power Plants Anomalies
Qais Ibrahim Ahmed, Hani Attar, Ayman Amer, et al.
Systems (2023) Vol. 11, Iss. 5, pp. 237-237
Open Access | Times Cited: 30
Hyperparameter Optimization of Regression Model for Electrical Load Forecasting During the COVID-19 Pandemic Lockdown Period
Mohammed Saif, Mohanad A. Deif, Hani Attar, et al.
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 4, pp. 239-253
Open Access | Times Cited: 29
Deep learning in oral cancer- a systematic review
Kritsasith Warin, Siriwan Suebnukarn
BMC Oral Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 13
A novel hybrid model for lung and colon cancer detection using pre-trained deep learning and KELM
J. Gowthamy, Subashka Ramesh
Expert Systems with Applications (2024) Vol. 252, pp. 124114-124114
Closed Access | Times Cited: 8
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
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
Decoding Cellular Complexity: A Deep Learning Expedition in Blood Cell Image Classification
Shivani Battu, Likhitha Marrapu, Chandini Karrothu, et al.
Lecture notes in networks and systems (2025), pp. 471-490
Closed Access
Harnessing artificial intelligence for predictive modelling in oral oncology: Opportunities, challenges, and clinical Perspectives
Vishnu Priya Veeraraghavan, Shikhar Daniel, Arun Kumar Dasari, et al.
Oral Oncology Reports (2024) Vol. 11, pp. 100591-100591
Open Access | Times Cited: 4
Development of a hybrid LSTM with chimp optimization algorithm for the pressure ventilator prediction
Fatma Refaat Ahmed, Samira Ahmed Alsenany, Sally Mohammed Farghaly Abdelaliem, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
Accuracy of Artificial Intelligence Models in Dental Implant Fixture Identification and Classification from Radiographs: A Systematic Review
Wael Ibraheem
Diagnostics (2024) Vol. 14, Iss. 8, pp. 806-806
Open Access | Times Cited: 3
Diagnostic performance of artificial intelligence in detecting oral potentially malignant disorders and oral cancer using medical diagnostic imaging: a systematic review and meta-analysis
Rakesh Kumar Sahoo, Krushna Chandra Sahoo, Girish Chandra Dash, et al.
Frontiers in Oral Health (2024) Vol. 5
Open Access | Times Cited: 2
Analysis of Histopathological Images for Early Diagnosis of Oral Squamous Cell Carcinoma by Hybrid Systems Based on CNN Fusion Features
Ibrahim Abdulrab Ahmed, Ebrahim Mohammed Senan, Hamzeh Salameh Ahmad Shatnawi
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-33
Open Access | Times Cited: 7
Harnessing artificial intelligence role in oral cancer diagnosis and prediction: A comprehensive exploration
Archana Behera, N. Aravindha Babu, Remya Rajan Renuka, et al.
Oral Oncology Reports (2024) Vol. 10, pp. 100314-100314
Open Access | Times Cited: 1
Oral Cancer Stage Classification Using Machine Learning
Pinky Agarwal, Naman Gupta, Yashita Bharadwaj, et al.
Procedia Computer Science (2024) Vol. 235, pp. 3174-3180
Open Access | Times Cited: 1
Intelligent optimal archimedes shooty tern deep network (OASTDN) for oral squamous cell carcinoma detection and classification in oral cancer
Mikkili Pruthvi Raj, G. Muneeswari
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Improving laryngeal cancer detection using chaotic metaheuristics integration with squeeze-and-excitation resnet model
Sana Alazwari, Mashael Maashi, Jamal Alsamri, et al.
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 1
Analysis of Oral Cancer Detection based Segmentation and Classification using Deep Learning Algorithms
Pullaiah Pinnika, K. Venkata Rao
Advances in computer science research (2024), pp. 683-690
Open Access | Times Cited: 1
Deep transfer learning with improved crayfish optimization algorithm for oral squamous cell carcinoma cancer recognition using histopathological images
Mahmoud Ragab, Turky Omar Asar
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
The Ability of Ultra Wideband to Differentiate Between Hematoma and Tumor Occur in The Brain
Ahmad Al–Qerem, Hani Attar, Waleed Alomoush, et al.
(2022), pp. 1-7
Closed Access | Times Cited: 5
Application of InceptionV3, SqueezeNet, and VGG16 Convoluted Neural Networks in the Image Classification of Oral Squamous Cell Carcinoma: A Cross-Sectional Study
Deepak Pandiar, Sahil Choudhari, Reshma Poothakulath Krishnan
Cureus (2023)
Open Access | Times Cited: 2
Rule-Based Modeling of Low-Dimensional Data with Pca and Binary Particle Swarm Optimization (Bpso) in Anfis
Afnan Al-Ali, Uvais Qidwai
(2024)
Closed Access
Advanced Meta-Heuristic Algorithm Based on AlBiruni Earth Radius and Particle Swarm Optimization Methods for Oral Cancer Detection
B. H. Manjunatha Kumar, G R Ananya, S V Anusha, et al.
(2024), pp. 1-6
Closed Access
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