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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:

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

Showing 1-25 of 31 citing articles:

A Review of Deep Transfer Learning Approaches for Class-Wise Prediction of Alzheimer’s Disease Using MRI Images
Pushpendra Singh Sisodia, Gaurav Ameta, Yogesh Kumar, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 4, pp. 2409-2429
Closed Access | Times Cited: 43
A Comprehensive Analysis of Deep Learning-Based Approaches for Prediction and Prognosis of Infectious Diseases
Kavita Thakur, Manjot Kaur, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4477-4497
Open Access | Times Cited: 24
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
Diagnosis and Detection of Congenital Diseases in New-Borns or Fetuses Using Artificial Intelligence Techniques: A Systematic Review
Komalpreet Kaur, Charanjit Singh, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3031-3058
Closed Access | Times Cited: 16
A Review of Deep Learning-Based Approaches for Detection and Diagnosis of Diverse Classes of Drugs
Ashish Kumar, Nishant Kumar, Jeril Kuriakose, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 6, pp. 3867-3889
Closed Access | Times Cited: 16
Impact of Image Preprocessing Methods and Deep Learning Models for Classifying Histopathological Breast Cancer Images
David Murcia-Gómez, Ignacio Rojas-Valenzuela, Olga Valenzuela
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11375-11375
Open Access | Times Cited: 22
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
A Comprehensive Analysis of Deep Learning-Based Approaches for the Prediction of Gastrointestinal Diseases Using Multi-class Endoscopy Images
Priya Bhardwaj, Sanjeev Kumar, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4499-4516
Closed Access | Times Cited: 11
Towards explainable oral cancer recognition: Screening on imperfect images via Informed Deep Learning and Case-Based Reasoning
Marco Parola, Federico A. Galatolo, Gaetano La Mantia, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 117, pp. 102433-102433
Open Access | Times Cited: 4
Overview of Optimization Algorithms in Deep Learning
Sobana Sikkanan, T. Seerangurayar
Advances in computational intelligence and robotics book series (2025), pp. 33-70
Closed 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
Advanced deep learning and large language models: Comprehensive insights for cancer detection
Yassine Habchi, Hamza Kheddar, Yassine Himeur, et al.
Image and Vision Computing (2025), pp. 105495-105495
Closed 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
Evrişimli Sinir Ağı (ESA) Mimarileri ile Hücre Görüntülerinden Sıtmanın Tespit Edilmesi
Yıldırım ÖZÜPAK
Çukurova Üniversitesi Mühendislik Fakültesi Dergisi (2024) Vol. 39, Iss. 1, pp. 197-210
Open Access | Times Cited: 3
Few-shot learning based oral cancer diagnosis using a dual feature extractor prototypical network
Zijun Guo, S.I. Ao, Bo Ao
Journal of Biomedical Informatics (2024) Vol. 150, pp. 104584-104584
Closed Access | Times Cited: 2
Machine Learning-Based Approaches for the Prognosis and Prediction of Multiple Diseases
Priya Bhardwaj, Yogesh Kumar, Shakti Mishra
(2024), pp. 1-6
Closed Access | Times Cited: 2
Oral cancer detection using transfer learning-based framework from histopathology images
Dawit Kiros Redie, Saurabh Bilgaiyan, Santwana Sagnika
Journal of Electronic Imaging (2023) Vol. 32, Iss. 05
Closed Access | Times Cited: 4
Deep Learning‐Based Image Classification and Segmentation on Digital Histopathology for Oral Squamous Cell Carcinoma: A Systematic Review and Meta‐Analysis
Zeynab Pirayesh, Hossein Mohammad‐Rahimi, Nikoo Ghasemi, et al.
Journal of Oral Pathology and Medicine (2024) Vol. 53, Iss. 9, pp. 551-566
Closed Access | Times Cited: 1
Efficient Approach for Diagnosis and Detection of Alzheimer Diseases Using Deep Learning
Maitry Bimalbhai Desai, Yogesh Kumar, Shilpa Pandey
(2024), pp. 1-5
Closed Access | Times Cited: 1
Classification of Oral Squamous Carcinoma Histopathological images using Alex Net
T. Saraswathi, V. Murali Bhaskaran
(2023)
Closed Access | Times Cited: 3
An Optimal Hierarchical Approach for Oral Cancer Diagnosis Using Rough Set Theory and an Amended Version of the Competitive Search Algorithm
Simin Song, Xiaojing Ren, Jing He, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2454-2454
Open Access | Times Cited: 1
Analysis of Deep Learning based Optimization Techniques for Oral Cancer Detection
K. J. Subha, M. Anto Bennet, Gaddam Pranay, et al.
(2023), pp. 1550-1555
Closed Access | Times Cited: 1
Machine Learning based Approaches for Accurately Diagnosis and Detection of Hypertension Disease
Simranjit Kaur, Khushboo Bansal, Yogesh Kumar
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 169-173
Closed Access | Times Cited: 1
Detecting anteriorly displaced temporomandibular joint discs using super-resolution magnetic resonance imaging: a multi-center study
Yang Li, Wen Li, Li Wang, et al.
Frontiers in Physiology (2024) Vol. 14
Open Access
An improved deep convolutional neural network fororal cancer detection using pretrained models
C Kavyashree, H S Vimala, J Shreyas
Research Square (Research Square) (2024)
Open Access
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