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:

Performance Comparison of Grid Search and Random Search Methods for Hyperparameter Tuning in Extreme Gradient Boosting Algorithm to Predict Chronic Kidney Failure
Aryo Dimas, Salsa Sasmita Mukti
International journal of intelligent engineering and systems (2021) Vol. 14, Iss. 6, pp. 198-207
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

A comparative assessment of machine learning algorithms with the Least Absolute Shrinkage and Selection Operator for breast cancer detection and prediction
Md. Mehedi Hassan, Md. Mahedi Hassan, Farhana Yasmin, et al.
Decision Analytics Journal (2023) Vol. 7, pp. 100245-100245
Open Access | Times Cited: 39

Quantitative identification of the co-exposure effects of e-waste pollutants on human oxidative stress by explainable machine learning
Luhan Yang, Tao Zhang, Yanxia Gao, et al.
Journal of Hazardous Materials (2024) Vol. 466, pp. 133560-133560
Closed Access | Times Cited: 13

Improving permeability prediction in carbonate reservoirs through gradient boosting hyperparameter tuning
Mohammed A. Abbas, Watheq J. Al‐Mudhafar, David A. Wood
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 3417-3432
Closed Access | Times Cited: 14

Machine Learning Algorithms for Predicting Stunting among Under-Five Children in Papua New Guinea
Hao Shen, Hang Zhao, Yi Jiang
Children (2023) Vol. 10, Iss. 10, pp. 1638-1638
Open Access | Times Cited: 13

Machine learning to identify a composite indicator to predict cardiac death in ischemic heart disease
Alessandro Pingitore, Chenxiang Zhang, Cristina Vassalle, et al.
International Journal of Cardiology (2024) Vol. 404, pp. 131981-131981
Open Access | Times Cited: 5

Estimation of Fe Grade at an Ore Deposit Using Extreme Gradient Boosting Trees (XGBoost)
F. Betul Atalay
Mining Metallurgy & Exploration (2024) Vol. 41, Iss. 4, pp. 2119-2128
Open Access | Times Cited: 4

Comparative Analysis of Machine Learning Models of Linear Fresnel solar collector
Rowida Meligy, Alaric Montenon, Hadeer A. Hassan
Renewable Energy (2024) Vol. 230, pp. 120865-120865
Closed Access | Times Cited: 4

A machine learning approach to simulate cattle growth at pasture using remotely collected walk-over weights
Tek Raj Awasthi, Ahsan Morshed, Dave L. Swain
Agricultural Systems (2025) Vol. 226, pp. 104332-104332
Open Access

Innovative application of the composite Bezier GSXG hybrid machine learning model for daily evapotranspiration Estimation implementing satellite image data
Parastoo Amirzehni, Saeed Samadianfard, AmirHossein Nazemi, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 9
Closed Access

Enhancing Lung Cancer Classification Effectiveness Through Hyperparameter-Tuned Support Vector Machine
Fita Sheila Gomiasti, Warto Warto, Etika Kartikadarma, et al.
Journal of Computing Theories and Applications (2024) Vol. 1, Iss. 4, pp. 396-406
Open Access | Times Cited: 3

Optimizing Feature Selection Method in Intrusion Detection System Using Thresholding
Muhammad 'Arif Faizin, Dias Kurniasari, Nazhifah Elqolby, et al.
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 3, pp. 214-226
Open Access | Times Cited: 3

Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review
Widana Kankanamge Darsha Jayamini, Farhaan Mirza, M. Asif Naeem, et al.
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Open Access | Times Cited: 3

Prediction of Stress–Strain Behavior of PET FRP-Confined Concrete Using Machine Learning Models
Arslan Qayyum Khan, Muhammad Naveed, Muhammad Dawood Rasheed, et al.
Arabian Journal for Science and Engineering (2024)
Closed Access | Times Cited: 3

Anomaly detection in smart grid using optimized extreme gradient boosting with SCADA system
Akash Sharma, Rajive Tiwari
Electric Power Systems Research (2024) Vol. 235, pp. 110876-110876
Closed Access | Times Cited: 3

Non-Destructive Detection of Tea Polyphenols in Fu Brick Tea Based on Hyperspectral Imaging and Improved PKO-SVR Method
Junyao Gong, Gang Chen, Yuezhao Deng, et al.
Agriculture (2024) Vol. 14, Iss. 10, pp. 1701-1701
Open Access | Times Cited: 3

Very short-term wind power forecasting for real-time operation using hybrid deep learning model with optimization algorithm
Md. Omer Faruque, Md. Alamgir Hossain, Md. Rashidul Islam, et al.
Cleaner Energy Systems (2024) Vol. 9, pp. 100129-100129
Open Access | Times Cited: 2

Comparative Evaluation of Data-Driven Approaches to Develop an Engine Surrogate Model for NOx Engine-Out Emissions under Steady-State and Transient Conditions
Alessandro Brusa, Emanuele Giovannardi, Massimo Barichello, et al.
Energies (2022) Vol. 15, Iss. 21, pp. 8088-8088
Open Access | Times Cited: 12

Ocean wave prediction using Long Short-Term Memory (LSTM) and Extreme Gradient Boosting (XGBoost) in Tuban Regency for fisherman safety
Riswanda Ayu Dhiya'ulhaq, Anisya Safira, Indah Fahmiyah, et al.
MethodsX (2024) Vol. 13, pp. 103031-103031
Closed Access | Times Cited: 2

Recognition of Real-Time BISINDO Sign Language-to-Speech using Machine Learning Methods
Muhammad Zulfikar Fauzi, Riyanarto Sarno, Shintami Chusnul Hidayati
(2023), pp. 986-991
Closed Access | Times Cited: 4

Stock Market Forecasting Using Hyperparameter-Tuned Ensemble Model
Satya Verma, Satya Prakash Sahu, Tirath Prasad Sahu
2022 IEEE World Conference on Applied Intelligence and Computing (AIC) (2023), pp. 267-271
Closed Access | Times Cited: 4

Bankruptcy prediction using optimal ensemble models under balanced and imbalanced data
Bahareh Amirshahi, Salim Lahmiri
Expert Systems (2024) Vol. 41, Iss. 8
Open Access | Times Cited: 1

Methodology for Hyperparameter Tuning of Deep Neural Networks for Efficient and Accurate Molecular Property Prediction
X. Nguyen, Y.A. Liu
Computers & Chemical Engineering (2024) Vol. 193, pp. 108928-108928
Closed Access | Times Cited: 1

Optimasi Algoritma XGBoost Classifier Menggunakan Hyperparameter Gridesearch dan Random Search Pada Klasifikasi Penyakit Diabetes
Ginanjar Abdurrahman, Hardian Oktavianto, Mukti Sintawati
INFORMAL Informatics Journal (2022) Vol. 7, Iss. 3, pp. 193-193
Open Access | Times Cited: 4

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