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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:

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: 180

Showing 1-25 of 180 citing articles:

Multimodal machine learning in precision health: A scoping review
Adrienne Kline, Hanyin Wang, Yikuan Li, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 203
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: 107
Predicting Coronary Heart Disease Using an Improved LightGBM Model: Performance Analysis and Comparison
Huazhong Yang, Zhongju Chen, Yang Huajian, et al.
IEEE Access (2023) Vol. 11, pp. 23366-23380
Open Access | Times Cited: 55
Credit Card Fraud Detection for Contemporary Financial Management Using XGBoost-Driven Machine Learning and Data Augmentation Techniques
Teuku Rizky Noviandy, Ghalieb Mutig Idroes, Aga Maulana, et al.
Indatu Journal of Management and Accounting (2023) Vol. 1, Iss. 1, pp. 29-35
Open Access | Times Cited: 42
A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical engineering
Elaheh Yaghoubi, Elnaz Yaghoubi, Ahmed A. Khamees, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 21, pp. 12655-12699
Open Access | Times Cited: 18
Prediction of mortality risk in patients with severe community-acquired pneumonia in the intensive care unit using machine learning
Jingjing Pan, Tao Guo, Haobo Kong, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
A Novel Approach for Polycystic Ovary Syndrome Prediction Using Machine Learning in Bioinformatics
Shazia Nasim, Mubarak Almutairi, Kashif Munir, et al.
IEEE Access (2022) Vol. 10, pp. 97610-97624
Open Access | Times Cited: 44
Machine Learning in Cereal Crops Disease Detection: A Review
Fraol Gelana Waldamichael, Taye Girma Debelee, Friedhelm Schwenker, et al.
Algorithms (2022) Vol. 15, Iss. 3, pp. 75-75
Open Access | Times Cited: 38
Integrating Genetic Algorithm and LightGBM for QSAR Modeling of Acetylcholinesterase Inhibitors in Alzheimer's Disease Drug Discovery
Teuku Rizky Noviandy, Aga Maulana, Ghazi Mauer Idroes, et al.
Malacca Pharmaceutics (2023) Vol. 1, Iss. 2, pp. 48-54
Open Access | Times Cited: 34
Effective Feature Engineering Technique for Heart Disease Prediction With Machine Learning
Azam Mehmood Qadri, Ali Raza, Kashif Munir, et al.
IEEE Access (2023) Vol. 11, pp. 56214-56224
Open Access | Times Cited: 32
Machine learning-based models for the prediction of breast cancer recurrence risk
Duo Zuo, Lexin Yang, Yu Jin, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 27
QSAR-Based Stacked Ensemble Classifier for Hepatitis C NS5B Inhibitor Prediction
Teuku Rizky Noviandy, Aga Maulana, Ghazi Mauer Idroes, et al.
(2023), pp. 220-225
Closed Access | Times Cited: 22
Skin Lesion Classification and Detection Using Machine Learning Techniques: A Systematic Review
Taye Girma Debelee
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3147-3147
Open Access | Times Cited: 22
Employing active learning in the optimization of culture medium for mammalian cells
Takamasa Hashizume, Yuki Ozawa, Bei‐Wen Ying
npj Systems Biology and Applications (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 21
MIBPred: Ensemble Learning-Based Metal Ion-Binding Protein Classifier
Hongqi Zhang, Shanghua Liu, Rui Li, et al.
ACS Omega (2024)
Open Access | Times Cited: 8
Prediction and analysis of risk factors for diabetic retinopathy based on machine learning and interpretable models
Xu Wang, Weijie Wang, Huiling Ren, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e29497-e29497
Open Access | Times Cited: 7
Predicting the Risk of Incident Type 2 Diabetes Mellitus in Chinese Elderly Using Machine Learning Techniques
Qing Liu, Miao Zhang, Yifeng He, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 6, pp. 905-905
Open Access | Times Cited: 31
A Forest Fire Susceptibility Modeling Approach Based on Light Gradient Boosting Machine Algorithm
Yanyan Sun, Fuquan Zhang, Haifeng Lin, et al.
Remote Sensing (2022) Vol. 14, Iss. 17, pp. 4362-4362
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: 20
Ensemble Machine Learning Approach for Quantitative Structure Activity Relationship Based Drug Discovery: A Review
Teuku Rizky Noviandy, Aga Maulana, Ghazi Mauer Idroes, et al.
Infolitika Journal of Data Science (2023) Vol. 1, Iss. 1, pp. 32-41
Open Access | Times Cited: 20
Maternal Health Risk Detection Using Light Gradient Boosting Machine Approach
Teuku Rizky Noviandy, Sarah Ika Nainggolan, Raihan Raihan, et al.
Infolitika Journal of Data Science (2023) Vol. 1, Iss. 2, pp. 48-55
Open Access | Times Cited: 16
Assessing the Influence of Sensor-Induced Noise on Machine-Learning-Based Changeover Detection in CNC Machines
Vinai George Biju, Anna-Maria Schmitt, Bastian Engelmann
Sensors (2024) Vol. 24, Iss. 2, pp. 330-330
Open Access | Times Cited: 5
Dual view deep learning for enhanced breast cancer screening using mammography
Samuel Rahimeto Kebede, Fraol Gelana Waldamichael, Taye Girma Debelee, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Machine learning-based analysis for prediction of surgical necrotizing enterocolitis in very low birth weight infants using perinatal factors: a nationwide cohort study
Seung Hyun Kim, Yoon Ju Oh, Joonhyuk Son, et al.
European Journal of Pediatrics (2024) Vol. 183, Iss. 6, pp. 2743-2751
Open Access | Times Cited: 5
Employing supervised machine learning algorithms for classification and prediction of anemia among youth girls in Ethiopia
Alemu Birara Zemariam, Ali Yimer, Gebremeskel Kibret Abebe, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
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