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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:

Diabetes Prediction using Machine Learning Techniques
Khushboo Singh, Jitendra Kumar Rout, Himansu Das
(2019), pp. 1-6
Closed Access | Times Cited: 66

Showing 26-50 of 66 citing articles:

A Novel Hybrid Approach for Detection of Type-2 Diabetes in Women Using Lasso Regression and Artificial Neural Network
Yogendra Singh, Mahendra Tiwari
International Journal of Intelligent Systems and Applications (2022) Vol. 14, Iss. 4, pp. 11-20
Open Access | Times Cited: 4
Diabetes Prediction Using Machine Learning Algorithms
Susovan Jana, N. Bharanidharan, P ShanmukhaNagasai, et al.
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (2022), pp. 46-51
Open Access | Times Cited: 4
User Input Based Health Risk Assessment to Predict Diabetes, Obesity and Heart Risk factors
Preethi Salian K, Prathyakshini, Puneeth B. R, et al.
(2023) Vol. 8, pp. 1-7
Closed Access | Times Cited: 2
An Efficient Diabetes Prediction Model using Machine Learning
Esther Daniel, Jobin Johnson, Ujjal Amitya Victor, et al.
(2023), pp. 1202-1208
Closed Access | Times Cited: 2
An Optimized Bagging Ensemble Learning of Machine Learning Algorithms for Early Detection of Diabetes
Homer Benny Bandela, Shaik Sikindar, Chigurupati Ravi Swaroop, et al.
(2023), pp. 274-281
Closed Access | Times Cited: 2
An Intellectual Supervised Machine Learning Algorithm for the Early Prediction of Hyperglycemia
R. Ramyea, Preethi Sambandam Raju, K. Keerthana, et al.
2019 Innovations in Power and Advanced Computing Technologies (i-PACT) (2021), pp. 1-7
Closed Access | Times Cited: 5
Diabetes Prediction Using Machine Learning
R Ashwini, S M Aiesha Afshin, V Kavya, et al.
International Journal for Research in Applied Science and Engineering Technology (2022) Vol. 10, Iss. 4, pp. 544-549
Open Access | Times Cited: 3
A Comparative Analysis of Diabetes Prediction Models using Machine Learning Algorithms
S. Sarathambekai, T. Vairam, Sathya Seelan K, et al.
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (2022), pp. 261-265
Closed Access | Times Cited: 3
Machine Learning Approach for Diabetes Prediction
S. Ramya, D. Kalaivani
International Journal for Research in Applied Science and Engineering Technology (2022) Vol. 10, Iss. 7, pp. 4444-4448
Open Access | Times Cited: 3
Classification of Diabetes Mellitus Sufferers Eating Patterns Using K-Nearest Neighbors, Naïve Bayes and Decission Tree
Ayuni Fachrunisa Lubis, Hilmi Zalnel Haq, Indah Lestari, et al.
Deleted Journal (2024) Vol. 2, Iss. 1, pp. 44-51
Open Access
Effects of Pre-Processing Techniques on Diabetes Detection Using Machine Learning
Aditya Charudatta Kulkarni, Bommireddypalli Venkata Satyasrikar
(2024), pp. 1-4
Closed Access
A Review on Blood Disease Detection using Artificial Intelligence Techniques
Deepali K. Gaikwad, Vivek Mahale, Ashok T. Gaikwad
(2024), pp. 21-26
Closed Access
Prediction of diabetes using hybridization of Radial basis function network and Differential evolution based technique
Pushpalata Pujari
Elsevier eBooks (2024), pp. 265-272
Closed Access
Effectiveness of Machine Learning & Deep Learning Models for Diabetes Prediction
Priyabrata Sahu, Jibendu Kumar Mantri
International Journal of Innovations in Engineering and Science (2023) Vol. 8, Iss. 3
Open Access | Times Cited: 1
Early Prediction of Diabetes using Several Machine Learning Algorithms
J. A. M. Rexie, P Santhosh, P. Nikhil Solomon, et al.
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (2023), pp. 449-453
Closed Access | Times Cited: 1
Diabetes Prediction Using Machine Learning Algorithms and Hyperparameter Tuning for Expecting Mothers
D. Manoj Kumar, J. Deny, P. Nagaraj, et al.
2022 IEEE World Conference on Applied Intelligence and Computing (AIC) (2023), pp. 325-331
Closed Access | Times Cited: 1
Cardiovascular Disease and Diabetes Disease Prediction Using Machine Learning and Streamlit API
Manika Manwal, Tanuj Maithani, Sristhi Mall, et al.
(2023), pp. 543-549
Closed Access | Times Cited: 1
On The Analysis of Some Machine Learning Algorithms for the Prediction of Diabetes
Bello A. Bodinga, Mukhtar A. Abdulsalam, Bello Alhaji Buhari, et al.
International Journal of Advanced Networking and Applications (2022) Vol. 14, Iss. 01, pp. 5294-5299
Open Access | Times Cited: 2
Prognostic Biomarkers Identification for Diabetes Prediction by Utilizing Machine Learning Classifiers
Utsha Das, Azmain Yakin Srizon, Md. Ansarul Islam, et al.
(2020), pp. 1-6
Closed Access | Times Cited: 2
Data Mining based Prediction of Diabetes using Firefly Optimized Neural Network
Vivek Vaidya, L.K. Vishwamitra
(2021), pp. 211-215
Closed Access | Times Cited: 2
Leveraging Latest Developments for Delivering Patient-Centric Healthcare to Diabetic Patients
Ritika Bateja, Sanjay Kumar Dubey, Ashutosh Kumar Bhatt
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2020), pp. 1201-1205
Closed Access | Times Cited: 1
Identification of Diabetes Disease from Human Blood Using Machine Learning Techniques
Hasina khatoon, Dipti Verma, Ankit Arora
2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) (2020), pp. 459-465
Closed Access | Times Cited: 1
Prediction of Diabetes and Symptoms of Covid-19 Using Machine Learning Classifiers
Steffy T. Baby, S. Basil Xavier, G. Jaspher W. Kathrine
2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC) (2022), pp. 387-393
Closed Access | Times Cited: 1
Diabetes Detection Using Machine Learning Techniques
Sumathi Pawar, Karuna Pandit, Niranjan N. Chiplunkar
(2022), pp. 131-136
Closed Access | Times Cited: 1
Diabetes Disease Prediction Using Various Metaheuristic Optimization Algorithms
J. Vijaya, S. V. Jagadeesh Chandra, Pallavi Baghel
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2023) Vol. 14, pp. 1-6
Closed Access

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