Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Application of EfficientNet‐B0 and GRU‐based deep learning on classifying the colposcopy diagnosis of precancerous cervical lesions
Xiaoyue Chen, Xiaowen Pu, Zhirou Chen, et al.
Cancer Medicine (2023) Vol. 12, Iss. 7, pp. 8690-8699
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Deep learning techniques for cervical cancer diagnosis based on pathology and colposcopy images
Hannah Ahmadzadeh Sarhangi, Dorsa Beigifard, Elahe Farmani, et al.
Informatics in Medicine Unlocked (2024) Vol. 47, pp. 101503-101503
Open Access | Times Cited: 10
Development and validation of artificial intelligence-based analysis software to support screening system of cervical intraepithelial neoplasia
Yung‐Taek Ouh, Tae Jin Kim, Woong Ju, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Deep Learning Based Automated Detection of Arcus Senilis and Its Clinical Risks in Ocular Health
B. Kumar, Kotha Chakradhar
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 2
Open Access | Times Cited: 1
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: 5
Revolutionizing Women’s Health: A Comprehensive Review of Artificial Intelligence Advancements in Gynecology
Marta Brandão, Francisco Mendes, Miguel Martins, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 4, pp. 1061-1061
Open Access | Times Cited: 5
Classification of cervical lesions based on multimodal features fusion
Jing Li, Peng Hu, Huayu Gao, et al.
Computers in Biology and Medicine (2024) Vol. 177, pp. 108589-108589
Closed Access | Times Cited: 5
Revolutionizing Diagnostic Insights: Exploring Advanced Image Processing Techniques and Neural Networks in Traditional Indian Medicine
R. Srinivasan, Reeba Korah, M. Ravichandran
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 1, pp. 19214-19220
Open Access
Cervical lesion segmentation via transformer-based network with attention and boundary-aware modules
Huayu Gao, Jing Li, Nanyan Shen, et al.
Biomedical Signal Processing and Control (2025) Vol. 109, pp. 107946-107946
Closed Access
Colposcopic Image Segmentation Based on Feature Refinement and Attention
Yuxi He, Liping Liu, Jinliang Wang, et al.
IEEE Access (2024) Vol. 12, pp. 40856-40870
Open Access | Times Cited: 3
Artificial Intelligence and Colposcopy: Automatic Identification of Cervical Squamous Cell Carcinoma Precursors
Miguel Mascarenhas, Inês Alencoão, Maria João Carinhas, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 10, pp. 3003-3003
Open Access | Times Cited: 3
VTCNet: A Feature Fusion DL Model Based on CNN and ViT for the Classification of Cervical Cells
Mingzhe Li, Ningfeng Que, Juanhua Zhang, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 5
Open Access | Times Cited: 3
A Predictive Model to Detect Cervical Diseases Using Convolutional Neural Network Algorithms and Digital Colposcopy Images
Nina Youneszade, Mohsen Marjani, Sayan Kumar Ray
IEEE Access (2023) Vol. 11, pp. 59882-59898
Open Access | Times Cited: 8
A segmentation model to detect cevical lesions based on machine learning of colposcopic images
Zhen Li, Chu-Mei Zeng, Yan-Gang Dong, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21043-e21043
Open Access | Times Cited: 7
Classification of Electronics Components using Deep Learning
Emel Soylu, İbrahim Kaya
Sakarya University Journal of Computer and Information Sciences (2024) Vol. 7, Iss. 1, pp. 36-45
Open Access | Times Cited: 2
Bimodal machine learning model for unstable hips in infants: integration of radiographic images with automatically-generated clinical measurements
Hirokazu Shimizu, Ken Enda, Hidenori Koyano, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
CerviFusionNet: A Multi-Modal, Hybrid CNN-Transformer-GRU Model for Enhanced Cervical Lesion Multi-classification
Yuyang Sha, Qingyue Zhang, Xiaobing Zhai, et al.
iScience (2024) Vol. 27, Iss. 12, pp. 111313-111313
Open Access | Times Cited: 2
Artificial Intelligence in Cervical Cancer Screening: Opportunities and Challenges
Miriam Dellino, Marco Cerbone, Antonio d’Amati, et al.
AI (2024) Vol. 5, Iss. 4, pp. 2984-3000
Open Access | Times Cited: 2
Fake Image Detection Using Deep Learning
Raidah S. Khudeyer, Noor Mohammed Almoosawi
Informatica (2023) Vol. 47, Iss. 7
Open Access | Times Cited: 4
Cervical lesion segmentation via transformer-based network with attention and boundary-aware modules
Nanyan Shen, Wei Lu, Jing Li, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Artificial Intelligence and Colposcopy: Automatic Identification of Vaginal Squamous Cell Carcinoma Precursors
Miguel Mascarenhas, Inês Alencoão, Maria João Carinhas, et al.
Cancers (2024) Vol. 16, Iss. 20, pp. 3540-3540
Open Access | Times Cited: 1
Performance of artificial intelligence for diagnosing cervical intraepithelial neoplasia and cervical cancer: a systematic review and meta-analysis
Lei Liu, Jiangang Liu, Qing Su, et al.
EClinicalMedicine (2024) Vol. 80, pp. 102992-102992
Closed Access | Times Cited: 1
Deep Learning-Based Recognition of Cervical Squamous Interepithelial Lesions
Huimin An, Liya Ding, Mengyuan Ma, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1720-1720
Open Access | Times Cited: 3
ELREI: Ensemble Learning of ResNet, EfficientNet, and Inception-v3 for Lung Disease Classification based on Chest X-Ray Image
Lucky Indra Kesuma
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 5, pp. 149-161
Open Access | Times Cited: 2
An Integrated Active Deep Learning Approach for Image Classification from Unlabeled Data with Minimal Supervision
Amira Abdelwahab, Ahmed Afifi, Mohamed Salama
Electronics (2023) Vol. 13, Iss. 1, pp. 169-169
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top