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 Feature Selection and Classification of Diabetes Mellitus: Machine Learning Methods
Roshi Saxena, Sanjay Kumar Sharma, Manali Gupta, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 59

Showing 26-50 of 59 citing articles:

Effective Feature Selection and Soft Voting Classifier based Diabetes Detection Using Machine Learning Approaches
Tania Alam Suchi, Md. Anayt Rabbi, Md. Abu Layek
(2023)
Closed Access | Times Cited: 2

An Interpretable Framework for Predicting Type 2 Diabetes using ML and Explainable AI
Kazi Fardeen Ahmed, Md. Shahid Uz Zaman, Hasibul Islam Peyal, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2

Improving Brain Stroke Diagnosis by Using Machine Learning Algorithms
Soumaya El Emrani, Otman Abdoun
Lecture notes in networks and systems (2024), pp. 232-239
Closed Access

Artificial Neural Network for Thyroid Disease Diagnosis
Soumaya El Emrani, Otman Abdoun
Lecture notes in networks and systems (2024), pp. 257-263
Closed Access

A Novel Q-Learning Frameworkfor Type-II Diabetes Prediction
Mansi Sharma, Prakash Mani Kumar
(2024), pp. 793-798
Closed Access

Critical Factor Analysis for prediction of Diabetes Mellitus using an Inclusive Feature Selection Strategy
E. Sreehari, L. D. Dhinesh Babu
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access

Evaluation of sequential feature selection in improving the K-nearest neighbor classifier for diabetes prediction
Rajkumar Govindarajan, Vidhyashree Balaji, Jayanthi Arumugam, et al.
IAES International Journal of Artificial Intelligence (2024) Vol. 13, Iss. 2, pp. 1567-1567
Open Access

Improvement in Prediction to Predict Diabetes for Improved Healthcare
Davinder Singh
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 5, pp. 5443-5462
Open Access

Development of a predictive model for the risk of microalbuminuria: comparison of 2 machine learning algorithms
Wenyan Long, Xiaohua Wang, Liqin Lu, et al.
Journal of Diabetes & Metabolic Disorders (2024) Vol. 23, Iss. 2, pp. 1899-1908
Open Access

Makine Öğrenimi Teknikleriyle Uyku Bozukluklarına Yönelik Derinlemesine Analiz ve Sınıflandırma
Yunus Emre Gür, Bilal Solak, Mesut Toğaçar
International Journal of Pure and Applied Sciences (2024) Vol. 10, Iss. 1, pp. 242-260
Open Access

Enhancing Diabetes Prediction Based on Pair-Wise Ensemble Learning Model Selection
Ahmed F. Ashour, Mostafa M. Fouda, Zubair Md. Fadlullah, et al.
(2024), pp. 1-6
Closed Access

SMOTE-Based deep network with adaptive boosted sooty for the detection and classification of type 2 diabetes mellitus
Phani Kumar Immadisetty, C. Rajabhushanam
Multimedia Tools and Applications (2024)
Closed Access

Diabetes Identification Network Based on PPG’s Deep Supervision Combined with Residual Attention Mechanism
Mingxia Xiao, A X Zhang, Tingting Jin, et al.
(2024), pp. 691-696
Closed Access

AI/ML-Based Diabetes Application using Hybrid Grey Wolf and Dipper Throated Optimization Algorithm
Rahul Dattangire, Saigurudatta Pamulaparthyvenkata, Shreekant Mandvikar, et al.
(2024), pp. 1-5
Closed Access

Diabetes Risk Prediction Exploration: Uncovering Patterns and Enhancing Predictive Accuracy through Ensemble Learning
Simeon Yuda Prasetyo, Santy Santy, Rezki Yunanda
(2024), pp. 213-218
Closed Access

Predictive Analysis of Diabetes Prediction
S. Sowmyayani
Advances in computational intelligence and robotics book series (2024), pp. 61-84
Closed Access

An Optimized Framework for Diabetes Mellitus Diagnosis Using Grid Search Based Support Vector Machine
S. Amutha, J. Raja Sekar
IFIP advances in information and communication technology (2023), pp. 153-167
Closed Access | Times Cited: 1

SFDA: Chinese Diabetic Text Classification Based on Sentence Feature Level Data Augmentation
Qingyan Wang, Ye Wang, Dajiang Lei
Communications in computer and information science (2023), pp. 597-611
Closed Access | Times Cited: 1

The Impact of Hepatitis Disease in Pre-processing Approach Using Fuzzy with May-Fly Optimization and Ensemble Classification
J. Saranya, D Umanandhini
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 6, pp. 286-297
Open Access | Times Cited: 1

Comparison of Machine Learning Algorithms for Diabetes Classification
Frederick Nathan Irmawan, Nicholas Hans Muliawan, Edbert Valencio Angky, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1

Glycation-Associated Diabetic Nephropathy and the Role of Long Noncoding RNAs
Ankita S. Durge, Isha Sharma, Rashmi S. Tupe
Biomedicines (2022) Vol. 10, Iss. 10, pp. 2623-2623
Open Access | Times Cited: 2

A modified inertial viscosity extragradient type method for equilibrium problems application to classification of diabetes mellitus: Machine learning methods
Suthep Suantai, Watcharaporn Yajai, Pronpat Peeyada, et al.
AIMS Mathematics (2022) Vol. 8, Iss. 1, pp. 1102-1126
Open Access | Times Cited: 2

Enhanced Fuzzy Logic Pre-Processing Technique Using Hybridized Bat and Particle Swarm Optimization Algorithm for Feature Selection
J. Saranya, Carmel Mary Belinda
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 3, pp. 470-481
Open Access

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