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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:

MSCI: A multistate dataset for colposcopy image classification of cervical cancer screening
Yao Yu, Jie Ma, Weidong Zhao, et al.
International Journal of Medical Informatics (2020) Vol. 146, pp. 104352-104352
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Deep learning in image-based breast and cervical cancer detection: a systematic review and meta-analysis
Peng Xue, Jiaxu Wang, Dongxu Qin, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 87
Exploring data mining and machine learning in gynecologic oncology
Ferdaous Idlahcen, Ali Idri, Evgin Göçeri
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 18
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: 35
Artificial intelligence for cervical cancer screening: Scoping review, 2009–2022
Hernán Darío Vargas‐Cardona, M. Rodríguez‐López, Marcela Arrivillaga, et al.
International Journal of Gynecology & Obstetrics (2023) Vol. 165, Iss. 2, pp. 566-578
Open Access | Times Cited: 23
Cervical Transformation Zone Segmentation and Classification based on Improved Inception-ResNet-V2 Using Colposcopy Images
Srikanta Dash, Prabira Kumar Sethy, Santi Kumari Behera
Cancer Informatics (2023) Vol. 22, pp. 117693512311614-117693512311614
Open Access | Times Cited: 18
Feasibility study of hyperspectral colposcopy as a novel tool for detecting precancerous cervical lesions
Carlos Vega, Norberto Medina, Laura Quintana, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Optimizing Cervical Lesion Detection Using Deep Learning with Particle Swarm Optimization
Zia U. Khan, Saif Ur Rehman Khan, Omair Bilal, et al.
(2025), pp. 1-7
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
Segmentation and Classification Techniques for Pap Smear Images in Detecting Cervical Cancer: A Systematic Review
Betelhem Zewdu Wubineh, Andrzej Rusiecki, Krzysztof Halawa
IEEE Access (2024) Vol. 12, pp. 118195-118213
Open Access | Times Cited: 3
An improved classification diagnosis approach for cervical images based on deep neural networks
Juan Wang, Mengying Zhao, Chengyi Xia
Pattern Analysis and Applications (2024) Vol. 27, Iss. 3
Closed Access | Times Cited: 2
Multicontrast Pocket Colposcopy Cervical Cancer Diagnostic Algorithm for Referral Populations
Erica Skerrett, Zichen Miao, Mercy Asiedu, et al.
BME Frontiers (2022) Vol. 2022
Open Access | Times Cited: 12
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
Encoder-Weighted W-Net for Unsupervised Segmentation of Cervix Region in Colposcopy Images
Jinhee Park, Hyunmo Yang, Hyun‐Jin Roh, et al.
Cancers (2022) Vol. 14, Iss. 14, pp. 3400-3400
Open Access | Times Cited: 11
Colposcopic multimodal fusion for the classification of cervical lesions
Yinuo Fan, Huizhan Ma, Yuanbin Fu, et al.
Physics in Medicine and Biology (2022) Vol. 67, Iss. 13, pp. 135003-135003
Closed Access | Times Cited: 10
Computer-aided diagnosis of cervical dysplasia using colposcopic images
Jinghang Ma, Shang-Feng You, Ji-Sen Xue, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 10
The Accuracy of Cytology, Colposcopy and Pathology in Evaluating Precancerous Cervical Lesions
Liana Pleș, Julia-Carolina Radosa, Romina‐Marina Sima, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1947-1947
Open Access | Times Cited: 10
Artificial Intelligence in Cervical Cancer Research and Applications
Chunhui Liu, Jiahui Yang, Ying L. Liu, et al.
Acadlore Transactions on AI and Machine Learning (2023) Vol. 2, Iss. 2, pp. 99-115
Open Access | Times Cited: 5
Detection and classification of cervical cancer images using CEENET deep learning approach
T.G. Subarna, P. Sukumar
Journal of Intelligent & Fuzzy Systems (2022) Vol. 43, Iss. 3, pp. 3695-3707
Closed Access | Times Cited: 8
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: 1
CervicoXNet: an automated cervicogram interpretation network
Siti Nurmaini, Muhammad Naufal Rachmatullah, Patiyus Agustiansyah, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 9, pp. 2405-2416
Closed Access | Times Cited: 3
Research Challenges in Cervical Cancer Segmentation and Classification Using Colposcopy Images
Zendi Zakaria Raga Permana, Agung W. Setiawan
(2023), pp. 371-376
Closed Access | Times Cited: 2
Cervical Cancer Screening on Multi-class Imbalanced Cervigram Dataset using Transfer Learning
Manisha Saini, Seba Susan
2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) (2022) Vol. 146, pp. 1-6
Closed Access | Times Cited: 4
Tissue Characterization Using an Electrical Bioimpedance Spectroscopy-Based Multi-Electrode Probe to Screen for Cervical Intraepithelial Neoplasia
Tong In Oh, Min Ji Kang, You Jeong Jeong, et al.
Diagnostics (2021) Vol. 11, Iss. 12, pp. 2354-2354
Open Access | Times Cited: 4
PREVENÇÃO E RASTREIO DO CÂNCER DE COLO DE ÚTERO
Rodrigo da Silva Bezerra, Adriane Nunes Diniz, Lilian Josiane da Rosa Soares, et al.
Brazilian Journal of Implantology and Health Sciences (2024) Vol. 6, Iss. 1, pp. 1131-1138
Open Access
Classification of Cervical Intraepithelial Neoplasia Based on Combination of GLCM and L*a*b* on Colposcopy Image Using Machine Learning
Zendi Zakaria Raga Permana, Agung W. Setiawan
(2024), pp. 035-040
Closed Access
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