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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:

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: 84

Showing 1-25 of 84 citing articles:

Deep Learning Based Methods for Breast Cancer Diagnosis: A Systematic Review and Future Direction
Maged Nasser, Umi Kalsom Yusof
Diagnostics (2023) Vol. 13, Iss. 1, pp. 161-161
Open Access | Times Cited: 110
Acceptance of clinical artificial intelligence among physicians and medical students: A systematic review with cross-sectional survey
Mingyang Chen, Bo Zhang, Ziting Cai, et al.
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 96
Artificial intelligence performance in image-based ovarian cancer identification: A systematic review and meta-analysis
He-Li Xu, Tingting Gong, Fang-Hua Liu, et al.
EClinicalMedicine (2022) Vol. 53, pp. 101662-101662
Open Access | Times Cited: 73
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: 15
Harnessing the Power of an Integrated Artificial Intelligence Model for Enhancing Reliable and Efficient Dental Healthcare Systems
Samar M. Nour, Reem Salah Shehab, Samar A. Said, et al.
Applied System Innovation (2025) Vol. 8, Iss. 1, pp. 7-7
Open Access | Times Cited: 1
Colposcopic accuracy in diagnosing squamous intraepithelial lesions: a systematic review and meta-analysis of the International Federation of Cervical Pathology and Colposcopy 2011 terminology
Dongxu Qin, Anying Bai, Peng Xue, et al.
BMC Cancer (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 25
Artificial intelligence performance in detecting lymphoma from medical imaging: a systematic review and meta-analysis
Anying Bai, Mingyu Si, Peng Xue, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 12
Enhancing cervical cancer detection and robust classification through a fusion of deep learning models
Sandeep Kumar Mathivanan, Divya Francis, Saravanan Srinivasan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 12
Computer Aided Cervical Cancer Diagnosis Using Gazelle Optimization Algorithm With Deep Learning Model
Mohamed K. Nour, Imène Issaouı, Alaa Edris, et al.
IEEE Access (2024) Vol. 12, pp. 13046-13054
Open Access | Times Cited: 8
The Systematic Review of Artificial Intelligence Applications in Breast Cancer Diagnosis
Dilber Uzun Ozsahin, Declan Ikechukwu Emegano, Berna Uzun, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 45-45
Open Access | Times Cited: 31
A self-learning deep neural network for classification of breast histopathological images
Alaa Hussein Abdulaal, Morteza Valizadeh, Mehdi Chehel Amirani, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105418-105418
Closed Access | Times Cited: 20
Advancing cervical cancer diagnosis and screening with spectroscopy and machine learning
C. Ramírez, Michael Greenop, Yasser A. Almoshawah, et al.
Expert Review of Molecular Diagnostics (2023) Vol. 23, Iss. 5, pp. 375-390
Open Access | Times Cited: 16
DBL-Net: A dual-branch learning network with information from spatial and frequency domains for tumor segmentation and classification in breast ultrasound image
Chengzhang Zhu, Xian Chai, Zhiyuan Wang, et al.
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106221-106221
Closed Access | Times Cited: 5
ViT-PSO-SVM: Cervical Cancer Predication Based on Integrating Vision Transformer with Particle Swarm Optimization and Support Vector Machine
Abdulaziz AlMohimeed, Mohamed Shehata, Nora El-Rashidy, et al.
Bioengineering (2024) Vol. 11, Iss. 7, pp. 729-729
Open Access | Times Cited: 5
A multimodal deep learning model for cervical pre-cancers and cancers prediction: Development and internal validation study
Sreenath Madathil, Mohamed Dhouib, Quitterie Lelong, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109710-109710
Closed Access
Multi-task interaction learning for accurate segmentation and classification of breast tumors in ultrasound images
Shenhai Zheng, Jianfei Li, Lihong Qiao, et al.
Physics in Medicine and Biology (2025) Vol. 70, Iss. 6, pp. 065006-065006
Closed Access
Predicting uterus tumor classification: A comparative study of DenseNet and support vector machine (SVM) accuracy
G. R. Reddy, Chinnaraj Govindasamy
AIP conference proceedings (2025) Vol. 3252, pp. 020042-020042
Closed Access
Review of the Standard and Advanced Screening, Staging Systems and Treatment Modalities for Cervical Cancer
Siaw Shi Boon, Ho Yin Luk, Chuan-Yun Xiao, et al.
Cancers (2022) Vol. 14, Iss. 12, pp. 2913-2913
Open Access | Times Cited: 26
Cervical Cancer Detection Techniques: A Chronological Review
Wan Azani Mustafa, Shahrina Ismail, Fahirah Syaliza Mokhtar, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1763-1763
Open Access | Times Cited: 12
Digital twin application in women’s health: Cervical cancer diagnosis with CervixNet
Vikas Sharma, Akshi Kumar, Kapil Sharma
Cognitive Systems Research (2024) Vol. 87, pp. 101264-101264
Closed Access | Times Cited: 4
Impact of human and artificial intelligence collaboration on workload reduction in medical image interpretation
Mingyang Chen, Yuting Wang, Qiankun Wang, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 4
TransPapCanCervix: An Enhanced Transfer Learning‐Based Ensemble Model for Cervical Cancer Classification
Barkha Bhavsar, Bela Shrimali
Computational Intelligence (2025) Vol. 41, Iss. 1
Closed Access
AI-Derived Blood Biomarkers for Ovarian Cancer Diagnosis: Systematic Review and Meta-Analysis
Haishan Xu, Xiao-Ying Li, Ming-Qian Jia, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e67922-e67922
Open Access
Performance of deep learning algorithms to distinguish high-grade glioma from low-grade glioma: A systematic review and meta-analysis
Wanyi Sun, Cheng Song, Chao Tang, et al.
iScience (2023) Vol. 26, Iss. 6, pp. 106815-106815
Open Access | Times Cited: 10
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: 10
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