Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Towards the use of cybernetics for an enhanced cervical cancer care strategy
Ejay Nsugbe
Intelligent Medicine (2022) Vol. 2, Iss. 3, pp. 117-126
Open Access | Times Cited: 10

Showing 10 citing articles:

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
An artificial intelligence-based decision support system for early diagnosis of polycystic ovaries syndrome
Ejay Nsugbe
Healthcare Analytics (2023) Vol. 3, pp. 100164-100164
Open Access | Times Cited: 17
Predicting cervical cancer biopsy results using demographic and epidemiological parameters: a custom stacked ensemble machine learning approach
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, et al.
Cogent Engineering (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 21
On an Affordable Approach towards the Diagnosis and Care for Prostate Cancer Patients Using Urine, FTIR and Prediction Machines
Ejay Nsugbe, Hooi‐Leng Ser, Huey-Fang Ong, et al.
Diagnostics (2022) Vol. 12, Iss. 9, pp. 2099-2099
Open Access | Times Cited: 14
A Pilot on the Use of Unsupervised Learning and Probabilistic Modelling Towards Cancer Extent Prediction
Ejay Nsugbe
Artificial Intelligence and Applications (2022) Vol. 1, Iss. 3, pp. 155-160
Open Access | Times Cited: 7
Towards an Affordable Means of Surgical Depth of Anesthesia Monitoring: An EMG-ECG-EEG Case Study
Ejay Nsugbe, Stephanie Connelly, Ian Mutanga
BioMedInformatics (2023) Vol. 3, Iss. 3, pp. 769-790
Open Access | Times Cited: 2
On the use of spectroscopy, prediction machines and cybernetics for an affordable and proactive care approach for endometrial cancer
Ejay Nsugbe
Biomedical Engineering Advances (2022) Vol. 4, pp. 100057-100057
Open Access | Times Cited: 4
On the use of Raman Blood Spectroscopy and Prediction Machines for Enhanced Care of Endometriosis Patients
Ejay Nsugbe
Digital Technologies Research and Applications (2023) Vol. 2, Iss. 1, pp. 12-30
Open Access
Cervical Cancer Prediction through Different Screening Methods using Machine Learning based on the strong features CNN-SVM network.
Sepideh Karimi, F Razavi, Mehdi Soheili
Research Square (Research Square) (2023)
Open Access
Analysis Of Diagnostic Value of cervical Cancer Disease Through Artificial Intelligence Based System
Shruti Mathur, Akhilesh Sharma, Anju Yadav
(2023), pp. 1-3
Closed Access
Page 1

Scroll to top