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:

Prediction of transportation energy demand in Türkiye using stacking ensemble models: Methodology and comparative analysis
Julian Hoxha, Muhammed Yasin Çodur, Enea Mustafaraj, et al.
Applied Energy (2023) Vol. 350, pp. 121765-121765
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Assessment and regression of carbon emissions from the building and construction sector in China: A provincial study using machine learning
Xiaocun Zhang, Jiayue Sun, Xueqi Zhang, et al.
Journal of Cleaner Production (2024) Vol. 450, pp. 141903-141903
Closed Access | Times Cited: 14

Location Planning Techniques for Internet Provider Service Unmanned Aerial Vehicles During Crisis
Kassem Danach, Hassan Harb, Ameer Sardar Kwekha-Rashid, et al.
Results in Engineering (2025), pp. 103833-103833
Open Access | Times Cited: 1

Machine learning applications for electrospun nanofibers: a review
Balakrishnan Subeshan, Asonganyi Atayo, Eylem Asmatulu
Journal of Materials Science (2024) Vol. 59, Iss. 31, pp. 14095-14140
Open Access | Times Cited: 12

Innovative framework for accurate and transparent forecasting of energy consumption: A fusion of feature selection and interpretable machine learning
Hamidreza Eskandari, Hassan Saadatmand, Muhammad Ramzan, et al.
Applied Energy (2024) Vol. 366, pp. 123314-123314
Open Access | Times Cited: 9

Development of pyramid neural networks for prediction of significant wave height for renewable energy farms
Amin Mahdavi‐Meymand, Wojciech Sulisz
Applied Energy (2024) Vol. 362, pp. 123009-123009
Closed Access | Times Cited: 5

An Efficient Approach for Food Demand Forecasting Using an Ensemble Technique and Statistical Analysis
Dudla Anil kumar, Braham Himed Raghuveer M. Rao, B. E. Rangaswamy, et al.
(2025), pp. 61-77
Closed Access

Forecasting energy use and efficiency in transportation: Predictive scenarios from ANN models
Hongchuan Lei, Yuanyue Guo, Nayab Khan
International Journal of Hydrogen Energy (2025) Vol. 106, pp. 1373-1384
Closed Access

Comparative Analysis of ANFIS and ANN Models for Automobile Mileage Prediction
A. Sasikala, D. Umamaheswari, S. Prabhu, et al.
Algorithms for intelligent systems (2025), pp. 421-436
Closed Access

Lithium-ion battery state of health estimation method based on variational quantum algorithm optimized stacking strategy
Longze Wang, Siyu Jiang, Yuteng Mao, et al.
Energy Reports (2024) Vol. 11, pp. 2877-2891
Open Access | Times Cited: 3

A novel stacking ensemble learner for predicting residual strength of corroded pipelines
Qiankun Wang, Hongfang Lü
npj Materials Degradation (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 3

A machine learning algorithm to explore the drivers of carbon emissions in Chinese cities
Wenmei Yu, Lina Xia, Qiang Cao
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

Incorporating artificial intelligence-powered prediction models for exergy efficiency evaluation in parabolic trough collectors
Omer A. Alawi, Haslinda Mohamed Kamar, Raad Z. Homod, et al.
Renewable Energy (2024) Vol. 225, pp. 120348-120348
Closed Access | Times Cited: 2

Machine learning for optimal ultra-fine cement plugging system in simulated high permeability sandstone reservoirs
H. Y. Wang, Yujia Hu, Tianbao Liu, et al.
Colloids and Surfaces A Physicochemical and Engineering Aspects (2024) Vol. 689, pp. 133753-133753
Closed Access | Times Cited: 2

Multi-source domain generalization deep neural network model for predicting energy consumption in multiple office buildings
Ben Jiang, Yu Li, Yacine Rezgui, et al.
Energy (2024) Vol. 299, pp. 131467-131467
Closed Access | Times Cited: 2

DBFiLM: A novel dual-branch frequency improved legendre memory forecasting model for coagulant dosage determination
Sibo Xia, Hongqiu Zhu, Ning Zhang, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124488-124488
Closed Access | Times Cited: 1

A highly accurate and robust prediction framework for drilling rate of penetration based on machine learning ensemble algorithm
Yuxiang Yang, Xiao Cen, Haocheng Ni, et al.
Geoenergy Science and Engineering (2024), pp. 213423-213423
Closed Access | Times Cited: 1

CLARA: A cluster-based node correlation for sampling rate adaptation and fault tolerance in sensor networks
Hassan Harb, Clara Abou Nader, Ali Jaber, et al.
Internet of Things (2024) Vol. 28, pp. 101345-101345
Closed Access

The usability of stacking-based ensemble learning model in crime prediction: a systematic review
Canan Başar Eroğlu, Hüseyin Çakır
Crime Prevention and Community Safety (2024) Vol. 26, Iss. 4, pp. 440-489
Closed Access

VAS-3D: A Visual-Based Alerting System for Detecting Drowsy Drivers in Intelligent Transportation Systems
Hadi El Zein, Hassan Harb, François Delmotte, et al.
World Electric Vehicle Journal (2024) Vol. 15, Iss. 12, pp. 540-540
Open Access

Fuel energy transportation and transformation based on the hydrogen obtainment system by solid-oxide fuel-cell and ethanol steam reforming integration
Paulo Cordaro, Antonio Garrido Gallego, José Luz Silveira
Fuel (2024) Vol. 384, pp. 133935-133935
Closed Access

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