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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:

Automatic model for cervical cancer screening based on convolutional neural network: a retrospective, multicohort, multicenter study
Xiangyu Tan, Kexin Li, Jiucheng Zhang, et al.
Cancer Cell International (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Deep learning for computational cytology: A survey
Hao Jiang, Yanning Zhou, Yi Lin, et al.
Medical Image Analysis (2022) Vol. 84, pp. 102691-102691
Open Access | Times Cited: 76
Hybrid AI-assistive diagnostic model permits rapid TBS classification of cervical liquid-based thin-layer cell smears
Xiaohui Zhu, Xiaoming Li, Kokhaur Ong, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 83
A novel attention-guided convolutional network for the detection of abnormal cervical cells in cervical cancer screening
Lei Cao, Jinying Yang, Zhiwei Rong, et al.
Medical Image Analysis (2021) Vol. 73, pp. 102197-102197
Closed Access | Times Cited: 72
Cervical Cancer Diagnostics Healthcare System Using Hybrid Object Detection Adversarial Networks
R Elakkiya, V. Subramaniyaswamy, Vineetha Vijayakumar, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 4, pp. 1464-1471
Closed Access | Times Cited: 71
Detection of Cervical Cancer Cells in Whole Slide Images Using Deformable and Global Context Aware Faster RCNN-FPN
Xia Li, Zhenhao Xu, Xi Shen, et al.
Current Oncology (2021) Vol. 28, Iss. 5, pp. 3585-3601
Open Access | Times Cited: 56
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: 48
Deep Learning in Cervical Cancer Diagnosis: Architecture, Opportunities, and Open Research Challenges
Nina Youneszade, Mohsen Marjani, Pei Pei Chong
IEEE Access (2023) Vol. 11, pp. 6133-6149
Open Access | Times Cited: 28
Prevention Strategies and Early Diagnosis of Cervical Cancer: Current State and Prospects
В. В. Какоткин, Е. В. Семина, T.G. Zadorkina, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 610-610
Open Access | Times Cited: 20
The power of deep learning for intelligent tumor classification systems: A review
Chandni, Monika Sachdeva, Alok Kumar Singh Kushwaha
Computers & Electrical Engineering (2023) Vol. 106, pp. 108586-108586
Closed Access | Times Cited: 14
ChatGPT as an aid for pathological diagnosis of cancer
Shaivy Malik, Sufian Zaheer
Pathology - Research and Practice (2023) Vol. 253, pp. 154989-154989
Closed Access | Times Cited: 14
Assessing artificial intelligence enabled liquid‐based cytology for triaging HPV‐positive women: a population‐based cross‐sectional study
Peng Xue, Haimiao Xu, Hongping Tang, et al.
Acta Obstetricia Et Gynecologica Scandinavica (2023) Vol. 102, Iss. 8, pp. 1026-1033
Open Access | Times Cited: 11
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: 4
Diagnostic Accuracy of Artificial Intelligence vs. Oncologist Interpretation in Digital Cervicography for Abnormal Cervical Cytology
Kyeong-A So, Eun Bi Jang, Seung‐Hyuk Shim, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 5, pp. 1763-1763
Open Access
iDDCS: Cervical intraepithelial neoplasia severity detection during vagina birth using artificial intelligence approach
Akanksha Kapruwan, Sachin Sharma, Himanshu Rai Goyal
Multidisciplinary Science Journal (2025) Vol. 7, Iss. 8, pp. 2025192-2025192
Closed Access
Improving the Accuracy and Efficiency of Abnormal Cervical Squamous Cell Detection With Cytologist-in-the-Loop Artificial Intelligence
Peng Xue, Haimiao Xu, Hongping Tang, et al.
Modern Pathology (2023) Vol. 36, Iss. 8, pp. 100186-100186
Open Access | Times Cited: 10
Fast template match algorithm for spatial object detection using a stereo vision system for autonomous navigation
Oscar Real-Moreno, Julio C. Rodríguez-Quiñonez, Oleg Sergiyenko, et al.
Measurement (2023) Vol. 220, pp. 113299-113299
Closed Access | Times Cited: 10
Cervical cell’s nucleus segmentation through an improved UNet architecture
Assad Rasheed, Syed Hamad Shirazi, Arif Iqbal Umar, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0283568-e0283568
Open Access | Times Cited: 9
Mask region-based CNNs for cervical cancer progression diagnosis on pap smear examinations
Carolina Rutili de Lima, Said Ghani Khan, Syed Humayoon Shah, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21388-e21388
Open Access | Times Cited: 9
Possible benefits, challenges, pitfalls, and future perspective of using ChatGPT in pathology
Durre Aden, Sufian Zaheer, Sabina Khan
Revista Española de Patología (2024) Vol. 57, Iss. 3, pp. 198-210
Open Access | Times Cited: 3
An artificial intelligence‑assisted diagnostic system improves the accuracy of image diagnosis of uterine cervical lesions
Yu Ito, Ai Miyoshi, Yutaka Ueda, et al.
Molecular and Clinical Oncology (2021) Vol. 16, Iss. 2
Open Access | Times Cited: 20
Advancement in Deep Learning Methods for Diagnosis and Prognosis of Cervical Cancer
Pankaj Yadav, Akshat Gupta, Alisha Parveen, et al.
Current Genomics (2022) Vol. 23, Iss. 4, pp. 234-245
Open Access | Times Cited: 14
Health Disparities Through Generative AI Models: A Comparison Study Using a Domain Specific Large Language Model
Yohn Jairo Parra Bautista, Carlos Theran, Richard Aló, et al.
Lecture notes in networks and systems (2023), pp. 220-232
Closed Access | Times Cited: 7
A systematic review on deep learning based methods for cervical cell image analysis
Ming Fang, Bo Liao, Xiujuan Lei, et al.
Neurocomputing (2024), pp. 128630-128630
Open Access | Times Cited: 2
Deep Learning-Based CT Radiomics for Feature Representation and Analysis of Aging Characteristics of Asian Bony Orbit
Li Zhu, Kunjian Chen, Jiayu Yang, et al.
Journal of Craniofacial Surgery (2021) Vol. 33, Iss. 1, pp. 312-318
Open Access | Times Cited: 17
Deep convolutional neural networks using an active learning strategy for cervical cancer screening and diagnosis
Xueguang Li, Mingyue Du, Shanru Zuo, et al.
Frontiers in Bioinformatics (2023) Vol. 3
Open Access | Times Cited: 5
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