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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:

A Novel Approach for Classifying Diabetes’ Patients Based on Imputation and Machine Learning
Kaouthar Driss, Wadii Boulila, Amreen Batool, et al.
2020 International Conference on UK-China Emerging Technologies (UCET) (2020), pp. 1-4
Closed Access | Times Cited: 22

Showing 22 citing articles:

A new color image encryption technique using DNA computing and Chaos-based substitution box
Fawad Masood, Junaid Masood, Lejun Zhang, et al.
Soft Computing (2021) Vol. 26, Iss. 16, pp. 7461-7477
Open Access | Times Cited: 55
A novel image encryption scheme based on Arnold cat map, Newton-Leipnik system and Logistic Gaussian map
Fawad Masood, Wadii Boulila, Abdullah Alsaeedi, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 21, pp. 30931-30959
Closed Access | Times Cited: 31
Efficient Multiclass Classification Using Feature Selection in High-Dimensional Datasets
Ankur Kumar, Avinash Kaur, Parminder Singh, et al.
Electronics (2023) Vol. 12, Iss. 10, pp. 2290-2290
Open Access | Times Cited: 14
Evaluating the Top Machine Learning Classifiers Used in Diabetes Prediction
Manmath Nath Das, Rajesh Kumar Ojha, Jyotsnarani Tripathy, et al.
Learning and analytics in intelligent systems (2025), pp. 3-11
Closed Access
Ensemble-based Effective Diagnosis of Thyroid Disorder with Various Feature Selection Techniques
Tehseen Akhtar, Saad Arif, Zohaib Mushtaq, et al.
(2022), pp. 14-19
Closed Access | Times Cited: 10
Study on Missing Values and Outlier Detection in Concurrence with Data Quality Enhancement for Efficient Data Processing
Feby A Vinisha, L. Sujihelen
2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (2022), pp. 1600-1607
Closed Access | Times Cited: 9
Diabetes Prediction using Support Vector Machine, Naive Bayes and Random Forest Machine Learning Models
Vinod Jain
2022 6th International Conference on Electronics, Communication and Aerospace Technology (2022)
Closed Access | Times Cited: 6
The Impact of Training Data Shortfalls on Safety of AI-Based Clinical Decision Support Systems
Philippa Conmy, Berk Ozturk, Tom Lawton, et al.
Lecture notes in computer science (2023), pp. 213-226
Closed Access | Times Cited: 3
Detection of Diabetes Melittus, Kidney Disease with ML
V. Teju, K. V. Sowmya, C. Yuvanika, et al.
2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) (2021), pp. 217-222
Closed Access | Times Cited: 8
A New Multistage Encryption Scheme Using Linear Feedback Register and Chaos-Based Quantum Map
Adel R. Alharbi, Jawad Ahmad, Arshad Ali, et al.
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 5
Mining frequent approximate patterns in large networks
Kaouthar Driss, Wadii Boulila, Aurélie Leborgne, et al.
International Journal of Imaging Systems and Technology (2020) Vol. 31, Iss. 3, pp. 1265-1279
Open Access | Times Cited: 6
An Improved Homogeneous Ensemble Technique for Early Accurate Detection of Type 2 Diabetes Mellitus (T2DM)
Umuhire Mucyo Faustin, Beiji Zou
Computation (2022) Vol. 10, Iss. 7, pp. 104-104
Open Access | Times Cited: 4
A critical review of machine learning approaches for predicting diabetes mellitus
G. Shobana, S.N. Bushra
Cardiometry (2023), Iss. 26, pp. 826-833
Open Access | Times Cited: 2
Random Forest Based Diabetic Prediction Model on Highly Unbalanced Dataset
Subhash Mondal, Ayush Banik, Sanjoy Roy, et al.
2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon) (2022), pp. 1-6
Closed Access | Times Cited: 3
Leveraging Wavelets and Deep CNN for Sleep Pattern Recognition in Road Safety: An EEG Study
Saad Arif, Saba Munawar, Rashiq Rafiq Marie, et al.
Communications in computer and information science (2024), pp. 227-241
Closed Access
The Power of Prognosis: Cox Model Prediction of Disease-Free Survival in Colon Cancer
Oussama Belhouichet, Aymen Yahyaoui, Wadii Boulila, et al.
Communications in computer and information science (2024), pp. 107-120
Closed Access
Analysis of various data imputation techniques for diabetes classification on PIMA dataset
Vishesh Jain, Sanyam Shukla, Nilay Khare
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) (2024) Vol. 35, pp. 1-6
Closed Access
Interpretation of Immunofluorescence Slides by Deep Learning Techniques: Anti-nuclear Antibodies Case Study
Oumar Khlelfa, Aymen Yahyaoui, Mouna Ben Azaiz, et al.
Communications in computer and information science (2023), pp. 110-122
Closed Access | Times Cited: 1
The Role of Artificial Intelligence in Diabetes Management
Amine Rghioui, Jaime Lloret, Abdelmajid Oumnad
Springer series on bio- and neurosystems (2022), pp. 243-257
Closed Access | Times Cited: 2
Imputação de Valores Omissos em Análise Descritiva de Dados, em R
Luzizila Salambiaku, Paula Prata, Maria Eugénia Ferrão
RCT - Revista de Ciência e Tecnologia (2023) Vol. 9
Open Access
Diagnosis and Classification of Diabetes Mellitus Type 1 and Type 2 Through Super Learner
A. R. Nisha, G Kavitha
Research Square (Research Square) (2021)
Open Access
A Comparative Study of Early Detection of Diabetes Risk by Machine Learning
Ishmeet Kaur Aubi, Swati Chauhan, Sanjeev Kumar Prasad
Advances in intelligent systems and computing (2021), pp. 531-539
Closed Access
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