Open Access Helper

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:

Early diagnosis of liver disease using improved binary butterfly optimization and machine learning algorithms
Warda M. Shaban
Multimedia Tools and Applications (2023) Vol. 83, Iss. 10, pp. 30867-30895
Open Access | Times Cited: 10

Showing 10 citing articles:

Prediction and detection of terminal diseases using Internet of Medical Things: A review
Akeem Temitope Otapo, Alice Othmani, Ghazaleh Khodabandelou, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109835-109835
Open Access | Times Cited: 1
Detection and classification of photovoltaic module defects based on artificial intelligence
Warda M. Shaban
Neural Computing and Applications (2024) Vol. 36, Iss. 27, pp. 16769-16796
Open Access | Times Cited: 5
BCDM: A Novel AI-Based Model for Detection of Breast Cancer
Warda M. Shaban, Hossam El-Din Moustafa, Mervat El-Seddek
Lecture notes in networks and systems (2025), pp. 468-479
Closed Access
Utilizing Voting Classifiers for Enhanced Analysis and Diagnosis of Cardiac Conditions
Mohamed S. Elgendy, Hossam El-Din Moustafa, Hala B. Nafea, et al.
Results in Engineering (2025), pp. 104636-104636
Open Access
Enhancing the efficiency of lung cancer screening: predictive models utilizing deep learning from CT scans
Medhat A. Tawfeek, Ibrahim Alrashdi, Madallah Alruwaili, et al.
Neural Computing and Applications (2025)
Closed Access
CardioRiskNet: A Hybrid AI-Based Model for Explainable Risk Prediction and Prognosis in Cardiovascular Disease
Fatma M. Talaat, Ahmed R. Elnaggar, Warda M. Shaban, et al.
Bioengineering (2024) Vol. 11, Iss. 8, pp. 822-822
Open Access | Times Cited: 3
Breast Cancer Classification based on Artificial Intelligence: State of the Art
Warda M. Shaban
Deleted Journal (2023)
Open Access | Times Cited: 2
A dense kernel point convolutional neural network for chronic liver disease classification with hybrid chaotic slime mould and giant trevally optimizer
R. Saranya, R Jaichandran
Biomedical Signal Processing and Control (2024) Vol. 102, pp. 107219-107219
Closed Access
Analyzing World Cup Impact Through an Evolutionary Optimization Approach Based on Sentiment Polarity with Pre-trained Word Embeddings
Ruba Obiedat, Dima Suleiman, Ala’ M. Al-Zoubi, et al.
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access
Machine Learning-Based Liver Diseases Prediction: A Comparative Analysis
Abduljalil Mohamed, Ghada El Khayat, Abeer A. Amer
Lecture notes on data engineering and communications technologies (2024), pp. 66-77
Closed Access
The Use of Machine Learning Models with Optuna in Disease Prediction
Lee‐Lun Lai, Ying-Lei Lin, Yuhui Liu, et al.
Electronics (2024) Vol. 13, Iss. 23, pp. 4775-4775
Open Access
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