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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:

Classification of cervical neoplasms on colposcopic photography using deep learning
Bum‐Joo Cho, Youn Jin Choi, Myung-Je Lee, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

The role of artificial intelligence in healthcare: a structured literature review
Silvana Secinaro, Davide Calandra, Aurelio Secinaro, et al.
BMC Medical Informatics and Decision Making (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 671
Diagnosis of Cervical Cancer based on Ensemble Deep Learning Network using Colposcopy Images
Chandran Venkatesan, M. G. Sumithra, Alagar Karthick, et al.
BioMed Research International (2021) Vol. 2021, pp. 1-15
Open Access | Times Cited: 157
Artificial Intelligence in Cervical Cancer Screening and Diagnosis
Xin Hou, Guangyang Shen, Liqiang Zhou, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 107
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: 90
Artificial intelligence and IoT driven technologies for environmental pollution monitoring and management
Simona Mariana Popescu, Sheikh Mansoor, Owais Ali Wani, et al.
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 64
Eliminating VEGFA+ tumor-associated neutrophils by antibody-drug conjugates boosts antitumor immunity and potentiates PD-1 immunotherapy in preclinical models of cervical cancer
Shili Yao, Lu Sun, Ye Lu, et al.
Cell Death and Disease (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 2
Mitigating Bias in Radiology Machine Learning: 3. Performance Metrics
Shahriar Faghani, Bardia Khosravi, Kuan Zhang, et al.
Radiology Artificial Intelligence (2022) Vol. 4, Iss. 5
Open Access | Times Cited: 63
Diagnosis of Cervical Cancer and Pre-Cancerous Lesions by Artificial Intelligence: A Systematic Review
Leila Allahqoli, Antonio Simone Laganà, Afrooz Mazidimoradi, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2771-2771
Open Access | Times Cited: 50
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
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: 28
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
Clinical evaluation of an artificial intelligence-assisted cytological system among screening strategies for a cervical cancer high-risk population
Wen Yang, Xiangshu Jin, Li-Ying Huang, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 9
Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder
Yuyeon Jung, Taewan Kim, Mi-Ryung Han, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 38
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: 21
Revolutionizing Cancer Research: The Impact of Artificial Intelligence in Digital Biobanking
Chiara Frascarelli, Giuseppina Bonizzi, Camilla Rosella Musico, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 9, pp. 1390-1390
Open Access | Times Cited: 20
Computer image analysis with artificial intelligence: a practical introduction to convolutional neural networks for medical professionals
G Kourounis, Ali Ahmed Elmahmudi, Brian Thomson, et al.
Postgraduate Medical Journal (2023) Vol. 99, Iss. 1178, pp. 1287-1294
Open Access | Times Cited: 20
Artificial Intelligence-Based Cervical Cancer Screening on Images Taken during Visual Inspection with Acetic Acid: A Systematic Review
Roser Viñals, Magali Cattin, Patrick Petignat, et al.
Diagnostics (2023) Vol. 13, Iss. 5, pp. 836-836
Open Access | Times Cited: 18
Deep-learning models for image-based gynecological cancer diagnosis: a systematic review and meta- analysis
Asefa Adimasu Taddese, Binyam Tilahun, Tadesse Awoke, et al.
Frontiers in Oncology (2024) Vol. 13
Open Access | Times Cited: 7
Exploring clinical specialists’ perspectives on the future role of AI: evaluating replacement perceptions, benefits, and drawbacks
Muhammad Daniyal, Moiz Qureshi, Roy Rillera Marzo, et al.
BMC Health Services Research (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 7
Role of Artificial Intelligence Interpretation of Colposcopic Images in Cervical Cancer Screening
Seongmin Kim, Hwajung Lee, Sanghoon Lee, et al.
Healthcare (2022) Vol. 10, Iss. 3, pp. 468-468
Open Access | Times Cited: 25
Multi-task network for automated analysis of high-resolution endomicroscopy images to detect cervical precancer and cancer
David Brenes, CJ Barberan, Brady Hunt, et al.
Computerized Medical Imaging and Graphics (2022) Vol. 97, pp. 102052-102052
Open Access | Times Cited: 24
Molecular mechanisms augmenting resistance to current therapies in clinics among cervical cancer patients
Soumik Das, Achsha Babu, Tamma Medha, et al.
Medical Oncology (2023) Vol. 40, Iss. 5
Open Access | Times Cited: 14
The Influence of AI: The Revolutionary Effects of Artificial Intelligence in Healthcare Sector
Ashish Kumar Saxena, Stephanie Ness, Tushar Khinvasara
Journal of Engineering Research and Reports (2024) Vol. 26, Iss. 3, pp. 49-62
Open Access | Times Cited: 5
Computer-aided diagnostic system based on deep learning for classifying colposcopy images
Lu Liu, Ying Wang, Xiaoli Liu, et al.
Annals of Translational Medicine (2021) Vol. 9, Iss. 13, pp. 1045-1045
Open Access | Times Cited: 29
Artificial intelligent tools: evidence-mapping on the perceived positive effects on patient-care and confidentiality
Nkosi Nkosi Botha, Edward Wilson Ansah, Cynthia Esinam Segbedzi, et al.
BMC Digital Health (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 4
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