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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:

An Interpretable Machine Learning Approach for Hepatitis B Diagnosis
George Obaido, Blessing Ogbuokiri, Theo G. Swart, et al.
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 11127-11127
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

A Deep Learning Ensemble With Data Resampling for Credit Card Fraud Detection
Ibomoiye Domor Mienye, Yanxia Sun
IEEE Access (2023) Vol. 11, pp. 30628-30638
Open Access | Times Cited: 71
Increasing transparency in machine learning through bootstrap simulation and shapely additive explanations
Alexander A. Huang, Samuel Y. Huang
PLoS ONE (2023) Vol. 18, Iss. 2, pp. e0281922-e0281922
Open Access | Times Cited: 53
Supervised machine learning in drug discovery and development: Algorithms, applications, challenges, and prospects
George Obaido, Ibomoiye Domor Mienye, Oluwaseun Francis Egbelowo, et al.
Machine Learning with Applications (2024) Vol. 17, pp. 100576-100576
Open Access | Times Cited: 20
Influence of Optimal Hyperparameters on the Performance of Machine Learning Algorithms for Predicting Heart Disease
Ghulab Nabi Ahamad, Shafiullah, Hira Fatima, et al.
Processes (2023) Vol. 11, Iss. 3, pp. 734-734
Open Access | Times Cited: 28
A Machine Learning Method with Hybrid Feature Selection for Improved Credit Card Fraud Detection
Ibomoiye Domor Mienye, Yanxia Sun
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 7254-7254
Open Access | Times Cited: 24
A deep learning approach for Maize Lethal Necrosis and Maize Streak Virus disease detection
Tony O’Halloran, George Obaido, Bunmi Otegbade, et al.
Machine Learning with Applications (2024) Vol. 16, pp. 100556-100556
Open Access | Times Cited: 12
An Improved Ensemble Method for Predicting Hyperchloremia in Adults With Diabetic Ketoacidosis
George Obaido, Blessing Ogbuokiri, C. W. Chukwu, et al.
IEEE Access (2024) Vol. 12, pp. 9536-9549
Open Access | Times Cited: 10
An Improved Framework for Detecting Thyroid Disease Using Filter-Based Feature Selection and Stacking Ensemble
George Obaido, Okechinyere J. Achilonu, Blessing Ogbuokiri, et al.
IEEE Access (2024) Vol. 12, pp. 89098-89112
Open Access | Times Cited: 9
Intelligent Internet of Medical Things for Depression: Current Advancements, Challenges, and Trends
Md Belal Bin Heyat, Deepak Adhikari, Faijan Akhtar, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access | Times Cited: 1
Vaccine Hesitancy Hotspots in Africa: An Insight From Geotagged Twitter Posts
Blessing Ogbuokiri, Ali Ahmadi, Zahra Movahedi Nia, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 1, pp. 1325-1338
Open Access | Times Cited: 12
Ethical Reflections on the Application of Artificial Intelligence in the Construction of Smart Cities
Bingjie Wang
Journal of Engineering (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 4
Machine Learning Approaches in Metabolic Pathway Predictions and Drug-Target Interactions: Advancing Drug Discovery
Mohamed E. Hasan, Ramanjaneyulu Allam, Alaa A. Hemeida, et al.
(2025), pp. 471-496
Closed Access
ArsenicSkinNet: A Deep Learning Approach for Arsenicosis Skin Lesion Classification
A Aakash, Tony O’Halloran, George Obaido, et al.
Lecture notes in computer science (2025), pp. 1-14
Closed Access
Enhancing Defect Detection in Steel Plate Manufacturing with Explainable Machine Learning and SMOTE for Imbalanced Data
Abdelhakim Dorbane, Fouzi Harrou, Ying Sun
Journal of Materials Engineering and Performance (2025)
Closed Access
Field-Scale Winter Wheat Growth Prediction Applying Machine Learning Methods with Unmanned Aerial Vehicle Imagery and Soil Properties
Lwandile Nduku, Cilence Munghemezulu, Zinhle Mashaba-Munghemezulu, et al.
Land (2024) Vol. 13, Iss. 3, pp. 299-299
Open Access | Times Cited: 3
A deeply supervised adaptable neural network for diagnosis and classification of Alzheimer’s severity using multitask feature extraction
Mohsen Ahmadi, Danial Javaheri, Matin Khajavi, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0297996-e0297996
Open Access | Times Cited: 3
A Survey of Bias and Fairness in Healthcare AI
Ibomoiye Domor Mienye, George Obaido, Ikiomoye Douglas Emmanuel, et al.
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) (2024), pp. 642-650
Closed Access | Times Cited: 3
Explainable Machine Learning Approach for Hepatitis C Diagnosis Using SFS Feature Selection
Ali Mohd Ali, Mohammad R. Hassan, Faisal Aburub, et al.
Machines (2023) Vol. 11, Iss. 3, pp. 391-391
Open Access | Times Cited: 8
Role of artificial intelligence in the management of chronic hepatitis B infection
Tung‐Hung Su, Jia‐Horng Kao
Clinical Liver Disease (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 2
Effective Credit Risk Prediction Using Ensemble Classifiers With Model Explanation
Idowu Aruleba, Yanxia Sun
IEEE Access (2024) Vol. 12, pp. 115015-115025
Open Access | Times Cited: 2
Dynamic Service Function Chain Deployment and Readjustment Method Based on Deep Reinforcement Learning
Jing Ran, Wenkai Wang, Hefei Hu
Sensors (2023) Vol. 23, Iss. 6, pp. 3054-3054
Open Access | Times Cited: 6
Hybrid Genetic Algorithm Random Forest algorithm (HGARF) for improving the missing value Imputation in Hepatitis Medical Dataset
Pijush Dutta, Shobhandeb Paul, Gour Gopal Jana, et al.
(2023), pp. 01-05
Closed Access | Times Cited: 6
The Impact of Omicron Variant in Vaccine Uptake in South Africa
Blessing Ogbuokiri, Ali Ahmadi, Nidhi Tripathi, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 5
Preliminary analysis of explainable machine learning methods for multiple myeloma chemotherapy treatment recognition
Nesma Settouti, Meryem Saidi
Evolutionary Intelligence (2023) Vol. 17, Iss. 1, pp. 513-533
Closed Access | Times Cited: 5
A Voting Classifier for Mortality Prediction Post-Thoracic Surgery
George Obaido, Blessing Ogbuokiri, Ibomoiye Domor Mienye, et al.
Lecture notes in networks and systems (2023), pp. 263-272
Closed Access | Times Cited: 5
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