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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:

DCAVN: Cervical cancer prediction and classification using deep convolutional and variational autoencoder network
Aditya Khamparia, Deepak Gupta, Joel J. P. C. Rodrigues, et al.
Multimedia Tools and Applications (2020) Vol. 80, Iss. 20, pp. 30399-30415
Closed Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques
Md Mamunur Rahaman, Chen Li, Yudong Yao, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104649-104649
Open Access | Times Cited: 206
Multi-Disease Prediction Based on Deep Learning: A Survey
Shuxuan Xie, Zengchen Yu, Zhihan Lv
Computer Modeling in Engineering & Sciences (2021) Vol. 128, Iss. 2, pp. 489-522
Open Access | Times Cited: 188
Generative artificial intelligence: a systematic review and applications
Sandeep Singh Sengar, Affan Bin Hasan, Sanjay Kumar, et al.
Multimedia Tools and Applications (2024)
Open Access | Times Cited: 44
Machine Learning Assisted Cervical Cancer Detection
Mavra Mehmood, Muhammad Rizwan, Michal Greguš, et al.
Frontiers in Public Health (2021) Vol. 9
Open Access | Times Cited: 79
Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From convolutional neural networks to visual transformers
Wanli Liu, Chen Li, Md Mamunur Rahaman, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105026-105026
Open Access | Times Cited: 57
A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis
Peng Jiang, Xuekong Li, Hui Shen, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S2, pp. 2687-2758
Open Access | Times Cited: 29
A systematic review on deep learning‐based automated cancer diagnosis models
Ritu Tandon, Shweta Agrawal, Narendra Pal Singh Rathore, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 6
Open Access | Times Cited: 9
Prediction and Detection of Cervical Malignancy Using Machine Learning Models
Seeta Devi, Gaikwad Sachin Ramnath, R Harikrishnan
Asian Pacific Journal of Cancer Prevention (2023) Vol. 24, Iss. 4, pp. 1419-1433
Open Access | Times Cited: 19
Enhancing cervical cancer diagnosis with graph convolution network: AI-powered segmentation, feature analysis, and classification for early detection
Nur Mohammad Fahad, Sami Azam, Sidratul Montaha, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 30, pp. 75343-75367
Open Access | Times Cited: 8
A Deep Learning-Based Approach for Cervical Cancer Classification Using 3D CNN and Vision Transformer
K. Abinaya, B. Sivakumar
Deleted Journal (2024) Vol. 37, Iss. 1, pp. 280-296
Open Access | Times Cited: 7
Cervical cell classification with deep-learning algorithms
Laixiang Xu, Fuhong Cai, Yanhu Fu, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 3, pp. 821-833
Closed Access | Times Cited: 16
A systematic review and research recommendations on artificial intelligence for automated cervical cancer detection
Smith K. Khare, Victoria Blanes‐Vidal, Berit Bargum Booth, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 6
Open Access | Times Cited: 5
Recent developments in cervical cancer diagnosis using deep learning on whole slide images: An Overview of models, techniques, challenges and future directions
Diksha Sambyal, Abid Sarwar
Micron (2023) Vol. 173, pp. 103520-103520
Closed Access | Times Cited: 11
VAE-GNA: a variational autoencoder with Gaussian neurons in the latent space and attention mechanisms
Matheus B. Rocha, Renato A. Krohling
Knowledge and Information Systems (2024) Vol. 66, Iss. 10, pp. 6415-6437
Closed Access | Times Cited: 4
Challenging the status quo: Why artificial intelligence models must go beyond accuracy in cervical cancer diagnosis
Yousry AbdulAzeem, Hossam Magdy Balaha, Hanaa ZainEldin, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107620-107620
Closed Access
Integrating finite element analysis and machine learning for non-invasive tumor detection: a piezoelectric tactile sensor-based vibration absorber approach
Radwa Hashem, Haitham El-Hussieny, Shinjiro Umezu, et al.
Neural Computing and Applications (2025)
Open Access
A low-cost platform for automated cervical cytology: addressing health and socioeconomic challenges in low-resource settings
José Ocampo-López-Escalera, Héctor Ochoa‐Díaz‐López, Xariss M. Sánchez‐Chino, et al.
Frontiers in Medical Technology (2025) Vol. 7
Open Access
Jacobian Kolmogorov-Arnold Networks for Cervical Cancer Cell Classification
Smith K. Khare, Esmaeil S. Nadimi, Victoria Blanes‐Vidal
(2025)
Closed Access
Deep learning-based decision support system for cervical cancer identification in liquid-based cytology pap smears
Ghada Atteia, Maali Alabdulhafith, Hanaa A. Abdallah, et al.
Technology and Health Care (2025)
Closed Access
An adaptive deep learning framework to classify unknown composite power quality event using known single power quality events
Hatem F. Sindi, Majid Nour, Muhyaddin Rawa, et al.
Expert Systems with Applications (2021) Vol. 178, pp. 115023-115023
Closed Access | Times Cited: 23
Fruit category classification by fractional Fourier entropy with rotation angle vector grid and stacked sparse autoencoder
Yudong Zhang, Suresh Chandra Satapathy, Shuihua Wang
Expert Systems (2021) Vol. 39, Iss. 3
Open Access | Times Cited: 22
Classification of data on stacked autoencoder using modified sigmoid activation function
Arvind Kumar, Sartaj Singh Sodhi
Journal of Intelligent & Fuzzy Systems (2022) Vol. 44, Iss. 1, pp. 1-18
Closed Access | Times Cited: 13
An Improved Fuzzy Deep Learning (IFDL) model for managing uncertainty in classification of pap-smear cell images
Mona Benhari, Rahil Hossseini
Intelligent Systems with Applications (2022) Vol. 16, pp. 200133-200133
Open Access | Times Cited: 13
A Recent Systematic Review of Cervical Cancer Diagnosis: Detection and Classification
Wan Azani Mustafa, Nur Ain Alias, Mohd Aminuddin Jamlos, et al.
Journal of Advanced Research in Applied Sciences and Engineering Technology (2022) Vol. 28, Iss. 1, pp. 81-96
Open Access | Times Cited: 12
Cervical Cancer Prediction Empowered with Federated Machine Learning
Muhammad Umar Nasir, Omar Kassem Khalil, Karamath Ateeq, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 1, pp. 963-981
Open Access | Times Cited: 2
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