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:

Systematic review and meta-analysis of prediction models used in cervical cancer
Ashish Kumar Jha, Sneha Mithun, Umesh B. Sherkhane, et al.
Artificial Intelligence in Medicine (2023) Vol. 139, pp. 102549-102549
Open Access | Times Cited: 25

Showing 25 citing articles:

Acceptability and perceptions of personalised risk-based cancer screening among health-care professionals and the general public: a systematic review and meta-analysis
Naomi Q. P. Tan, Ravi P. Nargund, Elisa E. Douglas, et al.
The Lancet Public Health (2025) Vol. 10, Iss. 2, pp. e85-e96
Open Access | Times Cited: 1

Why Is Surgery Still Done after Concurrent Chemoradiotherapy in Locally Advanced Cervical Cancer in Romania?
Silviu Cristian Voinea, Cristian Ioan Bordea, Elena Chitoran, et al.
Cancers (2024) Vol. 16, Iss. 2, pp. 425-425
Open Access | Times Cited: 4

ConvXGB: A novel deep learning model to predict recurrence risk of early-stage cervical cancer following surgery using multiparametric MRI images
Ji Wu, Jian Li, Bo Huang, et al.
Translational Oncology (2025) Vol. 52, pp. 102281-102281
Closed Access

Emerging role of quantitative imaging (radiomics) and artificial intelligence in precision oncology
Ashish Kumar Jha, Sneha Mithun, Umesh B. Sherkhane, et al.
Exploration of Targeted Anti-tumor Therapy (2023), pp. 569-582
Open Access | Times Cited: 10

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

A Comprehensive Integration of Data Regarding the Correlation of TNF-α rs1800629 Polymorphism with Susceptibility to Cervical Cancer
Zahra Marzbanrad, Mojgan Karimi‐Zarchi, Somayeyeh Noei-Teymoordash, et al.
Asian Pacific Journal of Cancer Prevention (2024) Vol. 25, Iss. 4, pp. 1155-1167
Open Access | Times Cited: 1

Deep Learning-based VGGNet, GoogleNet, and DenseNet121 Models for Cervical Cancer Prediction
Deepak Upadhyay, Manika Manwal, Vinay Kukreja, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1

A machine learning-based prediction model of pelvic lymph node metastasis in women with early-stage cervical cancer
Kamonrat Monthatip, Chiraphat Boonnag, Tanarat Muangmool, et al.
Journal of Gynecologic Oncology (2023) Vol. 35, Iss. 2
Open Access | Times Cited: 2

Prognostic prediction of oxidative stress related hematological biomarkers in locally advanced cervical cancer patients undergoing chemoradiotherapy
Gang Wu, Mengxuan Gu, Jiahao Zhu, et al.
Biomarkers (2024) Vol. 29, Iss. 5, pp. 255-264
Closed Access

Enhancing cervical cancer prognosis: Integrating machine learning and clinical insights for personalized patient care and improved outcomes
Mustafa Mansoor, Ibrahim Manzoor
European Journal of Surgical Oncology (2024) Vol. 50, Iss. 7, pp. 108439-108439
Closed Access

The Prevalence of Cervical Neoplastic Changes Among Sudanese Community Without Settled Screening Program
Mahadi Musa Mohammed Abdallah, Nawal Mohamed, Inaam Eloshary Mohammed Hayaty, et al.
European Journal of Preventive Medicine (2024) Vol. 12, Iss. 3, pp. 63-69
Open Access

Cervical cancer risk stratification based on nationwide electronic health data: a retrospective modelling and validation study from Estonia
Anna Tisler, Andres Võrk, Martin C. Tammemägi, et al.
Research Square (Research Square) (2024)
Closed Access

Pre-treatment T2-weighted magnetic resonance radiomics for prediction of loco-regional recurrence after image-guided adaptive brachytherapy for locally advanced cervical cancer
Pittaya Dankulchai, Natthakorn Thanamitsomboon, Wiwatchai Sittiwong, et al.
Journal of Contemporary Brachytherapy (2024) Vol. 16, Iss. 3, pp. 193-201
Open Access

A Deep Learning Model for Cervical Optical Coherence Tomography Image Classification
Xiaohu Zuo, Jianfeng Liu, Ming Hu, et al.
Diagnostics (2024) Vol. 14, Iss. 18, pp. 2009-2009
Open Access

Nationwide study on development and validation of a risk prediction model for CIN3+ and cervical cancer in Estonia
Anna Tisler, Andres Võrk, Martin C. Tammemägi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Cervical cancer diagnosis model using spontaneous Raman and Coherent anti-Stokes Raman spectroscopy with artificial intelligence
C. Liu, Caifeng Xiu, Yifeng Zou, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 327, pp. 125353-125353
Open Access

Multiomics biomarkers were not superior to clinical variables for pan-cancer screening
Martin Smelik, Yelin Zhao, Dina Mansour Aly, et al.
Communications Medicine (2024) Vol. 4, Iss. 1
Open Access

Spatial and task attention network for treatment response prediction in locally advanced cervical cancer radiotherapy
Dong Huang, Hua Yang, Xiaoshuo Hao, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105501-105501
Closed Access | Times Cited: 1

Why Is Surgery Still Done after Concurrent Chemo-Radiotherapy in Locally Advanced Cervical Cancer in Romania?
Silviu Cristian Voinea, Cristian Ioan Bordea, Elena Chitoran, et al.
(2023)
Open Access | Times Cited: 1

Radiomics in Gynaecological Imaging: A State-of-the-Art Review
Paolo Niccolò Franco, Federica Vernuccio, Cesare Maino, et al.
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11839-11839
Open Access

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