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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:

Power Plant Energy Predictions Based on Thermal Factors Using Ridge and Support Vector Regressor Algorithms
Asif Afzal, Saad Alshahrani, Abdulrahman A. Alrobaian, et al.
Energies (2021) Vol. 14, Iss. 21, pp. 7254-7254
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Modelling flood susceptibility based on deep learning coupling with ensemble learning models
Yuting Li, Haoyuan Hong
Journal of Environmental Management (2022) Vol. 325, pp. 116450-116450
Closed Access | Times Cited: 48
High-performance self-compacting concrete with recycled coarse aggregate: Soft-computing analysis of compressive strength
Ahmad Alyaseen, Arunava Poddar, Navsal Kumar, et al.
Journal of Building Engineering (2023) Vol. 77, pp. 107527-107527
Closed Access | Times Cited: 34
Machine learning approach for predicting concrete compressive, splitting tensile, and flexural strength with waste foundry sand
Vikas Mehta
Journal of Building Engineering (2023) Vol. 70, pp. 106363-106363
Closed Access | Times Cited: 32
An Analysis of the Effects of Nanofluid-Based Serpentine Tube Cooling Enhancement in Solar Photovoltaic Cells for Green Cities
J. Prakash Arul Jose, Anurag Shrivastava, Prem Kumar Soni, et al.
Journal of Nanomaterials (2023) Vol. 2023, pp. 1-15
Open Access | Times Cited: 31
Poultry fat biodiesel as a fuel substitute in diesel-ethanol blends for DI-CI engine: Experimental, modeling and optimization
N. Santhosh, Asif Afzal, Srikanth H. V, et al.
Energy (2023) Vol. 270, pp. 126826-126826
Closed Access | Times Cited: 24
Importance of Fiber-/Nanofiller-Based Polymer Composites in Mechanical and Erosion Performance: A Review
R. Sundarakannan, K. Balamurugan, Y. Jyothi, et al.
Journal of Nanomaterials (2023) Vol. 2023, pp. 1-16
Open Access | Times Cited: 16
On the application of symbolic regression in the energy sector: Estimation of combined cycle power plant electrical power output using genetic programming algorithm
Nikola Anđelić, Ivan Lorencin, Vedran Mrzljak, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108213-108213
Closed Access | Times Cited: 6
Box-Behnken assisted RSM and ANN Modelling for Biodiesel Production over Titanium supported Zinc-Oxide Catalyst.
Ikenna Chibuzor Emeji, Bilal Patel
Energy (2024) Vol. 308, pp. 132765-132765
Open Access | Times Cited: 5
Fast characterization of biomass pyrolysis oil via combination of ATR-FTIR and machine learning models
Chao Chen, Rui Liang, Yadong Ge, et al.
Renewable Energy (2022) Vol. 194, pp. 220-231
Closed Access | Times Cited: 24
Machine Learning Techniques for Evaluating Concrete Strength with Waste Marble Powder
Nitisha Sharma, Mohindra Singh Thakur, Parveen Sihag, et al.
Materials (2022) Vol. 15, Iss. 17, pp. 5811-5811
Open Access | Times Cited: 23
Enhancement of R600a vapour compression refrigeration system with MWCNT/TiO2 hybrid nano lubricants for net zero emissions building
A. Senthilkumar, L. Prabhu, T. Sathish, et al.
Sustainable Energy Technologies and Assessments (2023) Vol. 56, pp. 103055-103055
Closed Access | Times Cited: 14
Speed Control of Wheeled Mobile Robot by Nature-Inspired Social Spider Algorithm-Based PID Controller
Huma Khan, Shahida Khatoon, Prerna Gaur, et al.
Processes (2023) Vol. 11, Iss. 4, pp. 1202-1202
Open Access | Times Cited: 14
A Novel Power Prediction Model Based on the Clustering Modification Method for a Heavy-Duty Gas Turbine
Jing Kong, Wei Yu, Jinwei Chen, et al.
Applied Sciences (2025) Vol. 15, Iss. 1, pp. 432-432
Open Access
Gas turbine heat rate prediction in combined cycle power plant using artificial neural network
Kanit Manatura, Nawaporn Rummith, Benjapon Chalermsinsuwan, et al.
Thermal Science and Engineering Progress (2025), pp. 103301-103301
Closed Access
A comprehensive investigation to enhance predictive accuracy of data-driven models applied to air-cooled condensers: From domain expertise data preprocessing to hyperparameters optimization
Mobin Mohammadi, Vahid Esfahanian
Applied Thermal Engineering (2025), pp. 125792-125792
Closed Access
Optimizing renewable energy utilization through production and demand forecasting using optimized recurrent networks
Nebojša Bačanin, M. Pavlov, Stanislava Kozakijevic, et al.
Elsevier eBooks (2025), pp. 203-225
Closed Access
Prediction and validation of parameters of multi-axis soil remediation equipment based on machine learning algorithms
Zhipeng Wang, Yuhang Jiang, Yaonan Zhu, et al.
Particuology (2025)
Closed Access
Development of a machine-learning-based performance prediction model for indirect regenerative evaporative cooling applications supported by experimental and numerical techniques
Andaç Batur Çolak, Mert Inanli, Devrim Aydın, et al.
Journal of Thermal Analysis and Calorimetry (2025)
Open Access
Assessing Waste Marble Powder Impact on Concrete Flexural Strength Using Gaussian Process, SVM, and ANFIS
Nitisha Sharma, Mohindra Singh Thakur, Raj Kumar, et al.
Processes (2022) Vol. 10, Iss. 12, pp. 2745-2745
Open Access | Times Cited: 17
Sustainable energy transition optimization through decentralized hybrid energy systems with various energy storage technologies under multi-criterion indices: A mid-career repowering scenarios
Shahid Nawaz Khan, Muhammad Abdullah, Ahmad Nadeem, et al.
Journal of Energy Storage (2024) Vol. 94, pp. 112490-112490
Closed Access | Times Cited: 3
Drying shrinkage and crack width prediction using machine learning in mortars containing different types of industrial by-product fine aggregates
Ayla Ocak, Gebrai̇l Bekdaş, Ümit Işıkdağ, et al.
Journal of Building Engineering (2024), pp. 110737-110737
Closed Access | Times Cited: 3
Forecasting the energy output from a combined cycle thermal power plant using deep learning models
C. Ahamed Saleel
Case Studies in Thermal Engineering (2021) Vol. 28, pp. 101693-101693
Open Access | Times Cited: 20
Exergetic Assessment of Waste Gas to Energy in a Novel Integrated NGL Recovery and Power Generation Plant
Peter Alenoghena Aigba, Ikuobase Emovon, Olusegun David Samuel, et al.
Frontiers in Energy Research (2022) Vol. 9
Open Access | Times Cited: 15
Convolutional neural network modeling and response surface analysis of compressible flow at sonic and supersonic Mach numbers
Ambareen Khan, Parvathy Rajendran, Junior Sarjit Singh Sidhu, et al.
Alexandria Engineering Journal (2022) Vol. 65, pp. 997-1029
Open Access | Times Cited: 14
Optimized kernel extreme learning machine using Sine Cosine Algorithm for prediction of unconfined compression strength of MICP cemented soil
Shuquan Peng, Qiangzhi Sun, Ling Fan, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 17, pp. 24868-24880
Closed Access | Times Cited: 2
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