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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:

Ensemble Voting Regression Based on Machine Learning for Predicting Medical Waste: A Case from Turkey
Babek Erdebilli, Burcu Devrim-İçtenbaş
Mathematics (2022) Vol. 10, Iss. 14, pp. 2466-2466
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Smart waste management: A paradigm shift enabled by artificial intelligence
David B. Olawade, Oluwaseun Fapohunda, Ojima Z. Wada, et al.
Waste Management Bulletin (2024) Vol. 2, Iss. 2, pp. 244-263
Open Access | Times Cited: 50
Application of multi-algorithm ensemble methods in high-dimensional and small-sample data of geotechnical engineering: A case study of swelling pressure of expansive soils
Chao Li, Lei Wang, Jie Li, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024) Vol. 16, Iss. 5, pp. 1896-1917
Open Access | Times Cited: 21
Predicting the amount of medical waste using kernel-based SVM and deep learning methods for a private hospital in Turkey
Fatma Gul ALTİN, İbrahim BUDAK, Fatma Özcan
Sustainable Chemistry and Pharmacy (2023) Vol. 33, pp. 101060-101060
Closed Access | Times Cited: 24
An investigation of machine learning algorithms for estimating fracture toughness of asphalt mixtures
Hossein Talebi, Bahador Bahrami, Hossein Ahmadian, et al.
Construction and Building Materials (2024) Vol. 435, pp. 136783-136783
Closed Access | Times Cited: 8
Exploring Insights in Biomass and Waste Gasification via Ensemble Machine Learning Models and Interpretability Techniques
Ocident Bongomin, Charles Nzila, Josphat Igadwa Mwasiagi, et al.
International Journal of Energy Research (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 7
Machine Learning Models for Ecofriendly Optimum Design of Reinforced Concrete Columns
Yaren Aydın, Gebrai̇l Bekdaş, Si̇nan Meli̇h Ni̇gdeli̇, et al.
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4117-4117
Open Access | Times Cited: 15
Towards specific cutting energy analysis in the machining of Inconel 601 alloy under sustainable cooling conditions
Mehmet Erdi Korkmaz, Munish Kumar Gupta, Hakan Yılmaz, et al.
Journal of Materials Research and Technology (2023) Vol. 27, pp. 4074-4087
Open Access | Times Cited: 15
A novel approach to predict the effect of chemical composition and thermo-mechanical processing parameters on Cu–Ni–Si alloys using a hybrid deep learning and ensemble learning model
Mihail Kolev
Composites Communications (2024) Vol. 48, pp. 101903-101903
Open Access | Times Cited: 5
Dengue Outbreak Prediction in Bangladesh based on Meteorological Factors
Samiul Bari, Shahneela Shailee, Fatiha Tabassun Joyanti, et al.
(2025)
Closed Access
Predicting Fuel Properties through Sequential Forward Selection (SFS) Enhance Ensemble Machine Learning with Topological Index Selection
Long Cheng, H. Liao, Yaqi Zhu, et al.
Industrial & Engineering Chemistry Research (2025) Vol. 64, Iss. 9, pp. 4669-4684
Closed Access
Application of adaptive harmony search and machine learning on optimization problems about strength of materials
Yaren Aydın, Si̇nan Meli̇h Ni̇gdeli̇, Gebrai̇l Bekdaş, et al.
Elsevier eBooks (2025), pp. 273-295
Closed Access
Detection of Small-Sized Electronics Endangering Facilities Involved in Recycling Processes Using Deep Learning
Zizhen Liu, Shunki Kasugaya, Nozomu Mishima
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2835-2835
Open Access
Estimating the effective fracture toughness of a variety of materials using several machine learning models
Arsalan Mahmoodzadeh, Danial Fakhri, Adil Hussein Mohammed, et al.
Engineering Fracture Mechanics (2023) Vol. 286, pp. 109321-109321
Closed Access | Times Cited: 12
Several machine learning models to estimate the effect of an acid environment on the effective fracture toughness of normal and reinforced concrete
Ibrahim Albaijan, Danial Fakhri, Adil Hussein Mohammed, et al.
Theoretical and Applied Fracture Mechanics (2023) Vol. 126, pp. 103999-103999
Closed Access | Times Cited: 10
Short-term urban rail transit passenger flow forecasting based on fusion model methods using univariate time series
Dung David Chuwang, Weiya Chen, Ming Zhong
Applied Soft Computing (2023) Vol. 147, pp. 110740-110740
Closed Access | Times Cited: 10
Comprehensive analysis of multiple machine learning techniques for rock slope failure prediction
Arsalan Mahmoodzadeh, Abed Alanazi, Adil Hussein Mohammed, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 16, Iss. 11, pp. 4386-4398
Open Access | Times Cited: 10
Novel Ensemble Learning Approach for Predicting COD and TN: Model Development and Implementation
Qiangqiang Cheng, Jiyeon Kim, Yu Wang, et al.
Water (2024) Vol. 16, Iss. 11, pp. 1561-1561
Open Access | Times Cited: 3
Prediction and deployment of compressive strength of high-performance concrete using ensemble learning techniques
Ridwan Taiwo, Abdul‐Mugis Yussif, Adesola Habeeb Adegoke, et al.
Construction and Building Materials (2024) Vol. 451, pp. 138808-138808
Closed Access | Times Cited: 3
Performance Evaluation of Machine Learning Regressors for Estimating Real Estate House Prices
Marzieh Khosravi, Sadman Bin Arif, Ali Ghaseminejad, et al.
(2022)
Open Access | Times Cited: 17
Predictive modeling for the quantity of recycled end-of-life products using optimized ensemble learners
Hanbing Xia, Ji Han, Jelena Milisavljevic-Syed
Resources Conservation and Recycling (2023) Vol. 197, pp. 107073-107073
Open Access | Times Cited: 8
Healthcare Waste Management: An Overview
Muktar Oladapo Raji, Adeniyi Ganiyu Adeogun
ABUAD Journal of Engineering Research and Development (AJERD) (2024) Vol. 7, Iss. 1, pp. 14-27
Open Access | Times Cited: 2
Predicting medical waste generation and associated factors using machine learning in the Kingdom of Bahrain
Khadija Al-Omran, Ezzat Khan
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 26, pp. 38343-38357
Open Access | Times Cited: 2
Exploring machine learning to study and predict the chloride threshold level for carbon steel reinforcement
Nicolas Maamary, Ibrahim G. Ogunsanya
Cement and Concrete Composites (2024) Vol. 154, pp. 105796-105796
Open Access | Times Cited: 2
A comparative study of basic and ensemble artificial intelligence models for surface roughness prediction during the AA7075 milling process
Abd El Hedi Gabsi, Chokri Ben Aissa, Safa Mathlouthi
The International Journal of Advanced Manufacturing Technology (2023) Vol. 126, Iss. 1-2, pp. 1-15
Closed Access | Times Cited: 5
A data-driven approach to predict the saturation magnetization for magnetic 14:2:1 phases from chemical composition
Amit Kumar Choudhary, Dominic Hohs, Andreas Jansche, et al.
AIP Advances (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
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