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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:

Applications of machine learning methods for boiling modeling and prediction: A comprehensive review
Mohammad Mehdi Rashidi, Mohammad Alhuyi Nazari, C. Harley, et al.
Chemical Thermodynamics and Thermal Analysis (2022) Vol. 8, pp. 100081-100081
Open Access | Times Cited: 21

Showing 21 citing articles:

Comparative study for flow condensation heat transfer in horizontal enhanced tubes based on machine learning
Wei Li, Gangan Zhang, Desong Yang
International Journal of Heat and Mass Transfer (2024) Vol. 224, pp. 125330-125330
Closed Access | Times Cited: 10
Assessment of machine learning models and conventional correlations for predicting heat transfer coefficient of liquid hydrogen during flow boiling
Huan Yang, Jiarui Wang, Jian Wen, et al.
International Journal of Hydrogen Energy (2023) Vol. 49, pp. 753-770
Closed Access | Times Cited: 21
Machine learning algorithms to study the relative roles of jet convection and natural convection in the presence of surface roughness elements on enhancement of jet impingement heat transfer
K. Nagesha
International Journal of Thermal Sciences (2024) Vol. 198, pp. 108847-108847
Closed Access | Times Cited: 5
Application of ANN methodology to optimize the criteria of performance evaluation with multiple v-cut twisted tape inserts
Sanjay Kumar Singh, Ruchin Kacker, Satyam Shivam Gautam, et al.
Numerical Heat Transfer Part B Fundamentals (2024), pp. 1-18
Closed Access | Times Cited: 5
Exploring Turbulence and micro-scale mixing mechanisms for enhancing jet impingement heat transfer using micro-roughness elements: A data-driven and numerical analysis
K. Nagesha
International Communications in Heat and Mass Transfer (2025) Vol. 162, pp. 108646-108646
Closed Access
A review of flow boiling heat transfer: Theories, new methods and emerging applications
Tao Ding, Xiaoxuan Chen, Ziyong Li, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 215, pp. 115615-115615
Closed Access
Uncertainty quantification study of the physics-informed machine learning models for critical heat flux prediction
Congshan Mao, Yue Jin
Progress in Nuclear Energy (2024) Vol. 170, pp. 105097-105097
Closed Access | Times Cited: 4
Review of pool boiling improvement with additives and nanofluids utilizing artificial intelligence
Zhongdong Wang, Xin Sun, Mohammadreza Baghoolizadeh, et al.
International Communications in Heat and Mass Transfer (2025) Vol. 162, pp. 108659-108659
Closed Access
Biosurfactant Enhanced Saturated Pool Boiling Heat Transfer Over Plain Copper Surface and Prediction Through Machine Learning Algorithms
Pragati Priyadarshini Sahu, Prashant K. Jha, Abhilas Swain, et al.
Heat Transfer (2025)
Closed Access
Classification of boiling regimes, fluids, and heating surfaces through deep learning algorithms and image analysis
Concepción Paz, Adrián Cabarcos, Miguel Concheiro, et al.
International Journal of Heat and Mass Transfer (2025) Vol. 242, pp. 126829-126829
Closed Access
Analysis of the Effects of Different Nanofluids on Critical Heat Flux Using Artificial Intelligence
Bruno P. Serrao, Kyung Mo Kim, Juliana P. Duarte
Energies (2023) Vol. 16, Iss. 12, pp. 4762-4762
Open Access | Times Cited: 7
Experimental study on the effects of water hardness during transient pool boiling and the development of an artificial neural network
Ahmadreza Ayoobi, Ahmadreza Faghih Khorasani, Mehdi Barzegar, et al.
International Journal of Heat and Mass Transfer (2024) Vol. 227, pp. 125563-125563
Closed Access | Times Cited: 2
Application of supervised learning algorithms for temperature prediction in nucleate flow boiling
Adrián Cabarcos, Concepción Paz, Eduardo Suárez, et al.
Applied Thermal Engineering (2023) Vol. 240, pp. 122155-122155
Open Access | Times Cited: 5
Stacking Ensemble method to predict the Pool Boiling Heat Transfer of Nanomaterial Coated Surface
Ranjan Kumar, Nagendra Singh Ranawat, Sujit Mandal
Journal of Thermal Science and Engineering Applications (2024) Vol. 16, Iss. 11
Closed Access | Times Cited: 1
A review of nucleate pool-boiling heat transfer in different liquids and nanofluids
Khudir Z. Zarrag, Firas Basim Ismail, Tan E. Sann, et al.
Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy (2023) Vol. 237, Iss. 7, pp. 1628-1641
Closed Access | Times Cited: 2
MACHINE LEARNING BASED MODELING AND IDENTIFICATION OF KEY INFLUENCING PARAMETERS FOR NUCLEATE POOL BOILING ON PLAIN AND ROUGHENED SURFACES
K. Vijay, Sateesh Gedupudi
Proceeding of 5-6th Thermal and Fluids Engineering Conference (TFEC) (2024), pp. 1299-1314
Closed Access
Heat Transfer Estimation in Flow Boiling of R134a within Microfin Tubes: Development of Explainable Machine Learning-Based Pipelines
Shayan Milani, Keivan Ardam, Farzad Dadras Javan, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 4074-4074
Open Access
Development of ANN prediction model for estimation of heat transfer utilizing rectangular-toothed v-cut twisted tape
Sanjay Kumar Singh, Ruchin Kacker, Satyam Shivam Gautam, et al.
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2024)
Closed Access
Sensitivity analysis of carbon fiber reinforced asphalt pavements: Experimental study and data driven predictive model using machine learning
Monire Zokaei, Saeid Hesami
Theoretical and Applied Fracture Mechanics (2024) Vol. 134, pp. 104753-104753
Closed Access
Uncertainty Quantification Study of the Physics-Informed Machine Learning Models for Critical Heat Flux Prediction
Congshan Ma, Yu’e Jin
(2023)
Closed Access
Comparative Analysis of Machine Learning Approaches for Boiling ONB Prediction
Adrián Cabarcos, Concepción Paz, Miguel Concheiro, et al.
Proceedings of the International Conference on Fluid Flow and Thermal Science, ICFFTS ... (2023)
Open Access
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