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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:

Novel binary logistic regression model based on feature transformation of XGBoost for type 2 Diabetes Mellitus prediction in healthcare systems
Yalin Wu, Qianjian Zhang, Hu Yaqin, et al.
Future Generation Computer Systems (2021) Vol. 129, pp. 1-12
Closed Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

Intrusion Detection in Healthcare 4.0 Internet of Things Systems via Metaheuristics Optimized Machine Learning
Nikola Savanović, Ana Toskovic, Aleksandar Petrović, et al.
Sustainability (2023) Vol. 15, Iss. 16, pp. 12563-12563
Open Access | Times Cited: 58
A diabetes prediction model based on Boruta feature selection and ensemble learning
Hongfang Zhou, Yinbo Xin, Suli Li
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 56
Improving the local diagnostic explanations of diabetes mellitus with the ensemble of label noise filters
Che Xu, Peng Zhu, Jiacun Wang, et al.
Information Fusion (2025), pp. 102928-102928
Closed Access | Times Cited: 5
Drug Release Nanoparticle System Design: Data Set Compilation and Machine Learning Modeling
Shan He, Ander Barón, Cristian R. Munteanu, et al.
ACS Applied Materials & Interfaces (2025)
Closed Access | Times Cited: 2
Multi-feature fusing local directional ternary pattern for facial expressions signal recognition based on video communication system
Linyang Yan, Yu Shi, Minghua Wei, et al.
Alexandria Engineering Journal (2022) Vol. 63, pp. 307-320
Open Access | Times Cited: 57
Explainable diabetes classification using hybrid Bayesian-optimized TabNet architecture
Lionel Joseph, Erica A. Joseph, Ramendra Prasad
Computers in Biology and Medicine (2022) Vol. 151, pp. 106178-106178
Closed Access | Times Cited: 57
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: 50
Robust Classification and Detection of Big Medical Data Using Advanced Parallel K-Means Clustering, YOLOv4, and Logistic Regression
Fouad H. Awad, Murtadha M. Hamad, Laith Alzubaidi
Life (2023) Vol. 13, Iss. 3, pp. 691-691
Open Access | Times Cited: 38
A computational technique for the Caputo fractal-fractional diabetes mellitus model without genetic factors
Berat Karaağaç, Kolade M. Owolabi, Edson Pindza
International Journal of Dynamics and Control (2023) Vol. 11, Iss. 5, pp. 2161-2178
Open Access | Times Cited: 25
An intelligent approach to investigate the effects of container orientation for PCM melting based on an XGBoost regression model
Burak Kıyak, Hakan F. Öztop, Fatih Ertam, et al.
Engineering Analysis with Boundary Elements (2024) Vol. 161, pp. 202-213
Closed Access | Times Cited: 11
Developing an advanced prediction model for new employee turnover intention utilizing machine learning techniques
Jungryeol Park, Yituo Feng, Seon-Phil Jeong
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Research on the Nonlinear Relationship Between Carbon Emissions from Residential Land and the Built Environment: A Case Study of Susong County, Anhui Province Using the XGBoost-SHAP Model
Cheng Xu, Wei Xiong, Simin Zhang, et al.
Land (2025) Vol. 14, Iss. 3, pp. 440-440
Open Access | Times Cited: 1
NeoAI 1.0: Machine learning-based paradigm for prediction of neonatal and infant risk of death
Jagjit S. Teji, Suneet Jain, Suneet Gupta, et al.
Computers in Biology and Medicine (2022) Vol. 147, pp. 105639-105639
Closed Access | Times Cited: 25
Forecasting Daily Flood Water Level Using Hybrid Advanced Machine Learning Based Time-Varying Filtered Empirical Mode Decomposition Approach
Mehdi Jamei, Mumtaz Ali, Anurag Malik, et al.
Water Resources Management (2022) Vol. 36, Iss. 12, pp. 4637-4676
Closed Access | Times Cited: 24
A Catalogue of Machine Learning Algorithms for Healthcare Risk Predictions
Argyro Mavrogiorgou, Athanasios Kiourtis, Spyridon Kleftakis, et al.
Sensors (2022) Vol. 22, Iss. 22, pp. 8615-8615
Open Access | Times Cited: 23
Multi-step ahead hourly forecasting of air quality indices in Australia: Application of an optimal time-varying decomposition-based ensemble deep learning algorithm
Mehdi Jamei, Mumtaz Ali, Changhyun Jun, et al.
Atmospheric Pollution Research (2023) Vol. 14, Iss. 6, pp. 101752-101752
Closed Access | Times Cited: 14
Price Prediction of Bitcoin Based on Adaptive Feature Selection and Model Optimization
Yingjie Zhu, Jiageng Ma, Fangqing Gu, et al.
Mathematics (2023) Vol. 11, Iss. 6, pp. 1335-1335
Open Access | Times Cited: 12
A disease diagnosis system for smart healthcare based on fuzzy clustering and battle royale optimization
Fei Yan, Hesheng Huang, Witold Pedrycz, et al.
Applied Soft Computing (2023) Vol. 151, pp. 111123-111123
Closed Access | Times Cited: 12
Coal gangue recognition based on spectral imaging combined with XGBoost
Minghao Zhou, Wenhao Lai
PLoS ONE (2023) Vol. 18, Iss. 1, pp. e0279955-e0279955
Open Access | Times Cited: 11
Association Between BMI and Neurocognitive Functions Among Middle-aged Obese Adults: Preliminary Findings Using Machine-learning (ML)-based Approach
Dipti Magan, Raj Kumar Yadav, Jitender Aneja, et al.
Annals of Neurosciences (2025)
Open Access
Development and Validation of a Cost-Effective Machine Learning Model for Screening Potential Rheumatoid Arthritis in Primary Healthcare Clinics
Wenqi Wu, Xiaohao Hu, Linyang Yan, et al.
Journal of Inflammation Research (2025) Vol. Volume 18, pp. 1511-1522
Open Access
Hybrid Random Feature Selection and Recurrent Neural Network for Diabetes Prediction
Oyebayo Ridwan Olaniran, Aliu Omotayo Sikiru, Jeza Allohibi, et al.
Mathematics (2025) Vol. 13, Iss. 4, pp. 628-628
Open Access
Reliable jumping deep learning (RJDL) classifiers
Mehdi Khashei, Fatemeh Chahkoutahi, Ali Zeinal Hamadani
Journal of Ambient Intelligence and Humanized Computing (2025)
Closed Access
Soft sensor for the prediction of oxygen content in boiler flue gas using neural networks and extreme gradient boosting
Eko David Kurniawan, Nazrul Effendy, Agus Arif, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 1, pp. 345-352
Closed Access | Times Cited: 16
Indigenous and Disruptive Remote Patient Monitoring Devices - A Case Study on AI in Healthcare
Raparla Venkata Krishnaveni, Nisha Pandey, Satish Modh
SDMIMD Journal of Management (2023), pp. 27-34
Open Access | Times Cited: 7
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