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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:

Machine learning and artificial intelligence based Diabetes Mellitus detection and self-management: A systematic review
Jyotismita Chaki, S. Thillai Ganesh, S.K Cidham, et al.
Journal of King Saud University - Computer and Information Sciences (2020) Vol. 34, Iss. 6, pp. 3204-3225
Open Access | Times Cited: 197

Showing 1-25 of 197 citing articles:

Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Yogesh Kumar, Apeksha Koul, Ruchi Singla, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 7, pp. 8459-8486
Open Access | Times Cited: 628
A comparison of machine learning algorithms for diabetes prediction
Jobeda J Khanam, Simon Y. Foo
ICT Express (2021) Vol. 7, Iss. 4, pp. 432-439
Open Access | Times Cited: 315
IoT and artificial intelligence implementations for remote healthcare monitoring systems: A survey
Mazin Alshamrani
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 8, pp. 4687-4701
Open Access | Times Cited: 215
Adoption of artificial intelligence in smart cities: A comprehensive review
H.M.K.K.M.B. Herath, Mamta Mittal
International Journal of Information Management Data Insights (2022) Vol. 2, Iss. 1, pp. 100076-100076
Open Access | Times Cited: 202
Diagnosis of Diabetes Mellitus Using Gradient Boosting Machine (LightGBM)
Derara Duba Rufo, Taye Girma Debelee, Achim Ibenthal, et al.
Diagnostics (2021) Vol. 11, Iss. 9, pp. 1714-1714
Open Access | Times Cited: 195
A remote healthcare monitoring framework for diabetes prediction using machine learning
Jayroop Ramesh, Raafat Aburukba, Assim Sagahyroon
Healthcare Technology Letters (2021) Vol. 8, Iss. 3, pp. 45-57
Open Access | Times Cited: 128
Machine learning and deep learning predictive models for type 2 diabetes: a systematic review
Luis Fregoso-Aparicio, Julieta Noguez, Luis Montesinos, et al.
Diabetology & Metabolic Syndrome (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 113
Effective Handling of Missing Values in Datasets for Classification Using Machine Learning Methods
Ashokkumar Palanivinayagam, Robertas Damaševičius
Information (2023) Vol. 14, Iss. 2, pp. 92-92
Open Access | Times Cited: 43
Artificial intelligence in the management of metabolic disorders: a comprehensive review
A Anwar, Simran Rana, Priya Pathak
Journal of Endocrinological Investigation (2025)
Closed Access | Times Cited: 2
Design of intelligent diabetes mellitus detection system using hybrid feature selection based XGBoost classifier
Anju Prabha, Jyoti Yadav, Asha Rani, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104664-104664
Closed Access | Times Cited: 80
An assessment of machine learning models and algorithms for early prediction and diagnosis of diabetes using health indicators
Victor Chang, Meghana Ashok Ganatra, Karl Hall, et al.
Healthcare Analytics (2022) Vol. 2, pp. 100118-100118
Closed Access | Times Cited: 62
Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods
Ganeshsree Selvachandran, Shio Gai Quek, Raveendran Paramesran, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 915-964
Open Access | Times Cited: 53
Towards a data collection methodology for Responsible Artificial Intelligence in health: A prospective and qualitative study in pregnancy
Andreea M. Oprescu, G. Miró Amarante, Lutgardo García‐Díaz, et al.
Information Fusion (2022) Vol. 83-84, pp. 53-78
Open Access | Times Cited: 41
A deep neural network with modified random forest incremental interpretation approach for diagnosing diabetes in smart healthcare
Toly Chen, Hsin‐Chieh Wu, Min-Chi Chiu
Applied Soft Computing (2023) Vol. 152, pp. 111183-111183
Closed Access | Times Cited: 30
Edge AI for Early Detection of Chronic Diseases and the Spread of Infectious Diseases: Opportunities, Challenges, and Future Directions
Elarbi Badidi
Future Internet (2023) Vol. 15, Iss. 11, pp. 370-370
Open Access | Times Cited: 29
A systematic approach to enhance the explainability of artificial intelligence in healthcare with application to diagnosis of diabetes
Yu-Cheng Wang, Toly Chen, Min-Chi Chiu
Healthcare Analytics (2023) Vol. 3, pp. 100183-100183
Open Access | Times Cited: 27
An Ensemble of Light Gradient Boosting Machine and Adaptive Boosting for Prediction of Type-2 Diabetes
M. Jishnu Sai, Pratiksha Chettri, Ranjit Panigrahi, et al.
International Journal of Computational Intelligence Systems (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 26
An Intelligent Diabetic Patient Tracking System Based on Machine Learning for E-Health Applications
Sindhu P. Menon, Prashant Kumar Shukla, Priyanka Sethi, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3004-3004
Open Access | Times Cited: 26
WaveFlex biosensor based on S-tapered and waist-expanded technique for detection of glycosylated hemoglobin
Guiwei Zhang, Ragini Singh, Bingyuan Zhang, et al.
Biomedical Optics Express (2023) Vol. 14, Iss. 11, pp. 6100-6100
Open Access | Times Cited: 25
Diabetes and artificial intelligence beyond the closed loop: a review of the landscape, promise and challenges
Scott C. Mackenzie, Christopher Sainsbury, Deborah J. Wake
Diabetologia (2023) Vol. 67, Iss. 2, pp. 223-235
Open Access | Times Cited: 23
Impact of Big Data Analytics on People’s Health: Overview of Systematic Reviews and Recommendations for Future Studies
Israel Júnior Borges do Nascimento, Milena Soriano Marcolino, Hebatullah Mohamed Abdulazeem, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 4, pp. e27275-e27275
Open Access | Times Cited: 55
Supervised and Unsupervised Machine Learning based Review on Diabetes Care
Tannu Chauhan, Surbhi Rawat, Samrath Malik, et al.
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (2021), pp. 581-585
Closed Access | Times Cited: 41
IoT-Based Hybrid Ensemble Machine Learning Model for Efficient Diabetes Mellitus Prediction
Sasmita Padhy, Sachikanta Dash, Sidheswar Routray, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 34
An Efficient Approach to Detect Diabetes using XGBoost Classifier
Kumar Laxmikant, R. Bhuvaneswari, Balasubramaniam Natarajan
(2023)
Closed Access | Times Cited: 21
A risk assessment and prediction framework for diabetes mellitus using machine learning algorithms
Salliah Shafi Bhat, M. Nazreen Banu, Gufran Ahmad Ansari, et al.
Healthcare Analytics (2023) Vol. 4, pp. 100273-100273
Open Access | Times Cited: 18
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