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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:

Deep learning predicts boiling heat transfer
Youngjoon Suh, Ramin Bostanabad, Yoonjin Won
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Status, Challenges, and Potential for Machine Learning in Understanding and Applying Heat Transfer Phenomena
Matthew T. Hughes, Girish Kini, Srinivas Garimella
Journal of Heat Transfer (2021) Vol. 143, Iss. 12
Closed Access | Times Cited: 64
A machine learning approach for predicting heat transfer characteristics in micro-pin fin heat sinks
Kiwan Kim, Haeun Lee, Min-Soo Kang, et al.
International Journal of Heat and Mass Transfer (2022) Vol. 194, pp. 123087-123087
Closed Access | Times Cited: 63
Advances in micro and nanoengineered surfaces for enhancing boiling and condensation heat transfer: a review
Nithin Vinod Upot, Kazi Fazle Rabbi, Siavash Khodakarami, et al.
Nanoscale Advances (2022) Vol. 5, Iss. 5, pp. 1232-1270
Open Access | Times Cited: 53
Computer Vision and Machine Learning Methods for Heat Transfer and Fluid Flow in Complex Structural Microchannels: A Review
Bin Yang, Xin Zhu, Boan Wei, et al.
Energies (2023) Vol. 16, Iss. 3, pp. 1500-1500
Open Access | Times Cited: 28
Advances in the modeling of multiphase flows and their application in nuclear engineering—A review
Mengqi Wu, Jinsong Zhang, Nan Gui, et al.
Experimental and Computational Multiphase Flow (2024) Vol. 6, Iss. 4, pp. 287-352
Closed Access | Times Cited: 9
Physics-Informed machine learning for solar-thermal power systems
Julián D. Osorio, Mario De Florio, Rob Hovsapian, et al.
Energy Conversion and Management (2025) Vol. 327, pp. 119542-119542
Open Access | Times Cited: 1
Mosaic flows: A transferable deep learning framework for solving PDEs on unseen domains
Hengjie Wang, Robert Planas, Aparna Chandramowlishwaran, et al.
Computer Methods in Applied Mechanics and Engineering (2021) Vol. 389, pp. 114424-114424
Open Access | Times Cited: 42
Learning new physical descriptors from reduced-order analysis of bubble dynamics in boiling heat transfer
Arif Rokoni, Lige Zhang, Tejaswi Soori, et al.
International Journal of Heat and Mass Transfer (2022) Vol. 186, pp. 122501-122501
Open Access | Times Cited: 31
Physics-informed machine learning-aided framework for prediction of minimum film boiling temperature
Kyung Mo Kim, Paul Hurley, Juliana P. Duarte
International Journal of Heat and Mass Transfer (2022) Vol. 191, pp. 122839-122839
Closed Access | Times Cited: 30
Shape optimization of pin fin array in a cooling channel using genetic algorithm and machine learning
Nam Phuong Nguyen, Elham Maghsoudi, Scott Roberts, et al.
International Journal of Heat and Mass Transfer (2022) Vol. 202, pp. 123769-123769
Open Access | Times Cited: 29
Nonintrusive heat flux quantification using acoustic emissions during pool boiling
Christy Dunlap, Hari Pandey, Ethan Weems, et al.
Applied Thermal Engineering (2023) Vol. 228, pp. 120558-120558
Open Access | Times Cited: 21
Recent progress of artificial intelligence for liquid-vapor phase change heat transfer
Youngjoon Suh, Aparna Chandramowlishwaran, Yoonjin Won
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 8
Multimodal machine learning for predicting heat transfer characteristics in micro-pin fin heat sinks
Haeun Lee, Geonhee Lee, Kiwan Kim, et al.
Case Studies in Thermal Engineering (2024) Vol. 57, pp. 104331-104331
Open Access | Times Cited: 8
A Deep Learning Perspective on Dropwise Condensation
Youngjoon Suh, Jonggyu Lee, Peter Simadiris, et al.
Advanced Science (2021) Vol. 8, Iss. 22
Open Access | Times Cited: 41
Automated bubble analysis of high-speed subcooled flow boiling images using U-net transfer learning and global optical flow
Jee Hyun Seong, Madhumitha Ravichandran, Guanyu Su, et al.
International Journal of Multiphase Flow (2022) Vol. 159, pp. 104336-104336
Open Access | Times Cited: 27
Machine learning enabled condensation heat transfer measurement
Siavash Khodakarami, Kazi Fazle Rabbi, Youngjoon Suh, et al.
International Journal of Heat and Mass Transfer (2022) Vol. 194, pp. 123016-123016
Open Access | Times Cited: 23
Application of deep learning for segmentation of bubble dynamics in subcooled boiling
Jerol Soibam, Valentin Scheiff, Ioanna Aslanidou, et al.
International Journal of Multiphase Flow (2023) Vol. 169, pp. 104589-104589
Open Access | Times Cited: 15
Deep learning segmentation to analyze bubble dynamics and heat transfer during boiling at various pressures
Ivan Malakhov, Aleksandr Seredkin, Andrey Chernyavskiy, et al.
International Journal of Multiphase Flow (2023) Vol. 162, pp. 104402-104402
Closed Access | Times Cited: 14
Machine Learning Algorithms for Flow Pattern Classification in Pulsating Heat Pipes
José Loyola-Fuentes, Luca Pietrasanta, Marco Marengo, et al.
Energies (2022) Vol. 15, Iss. 6, pp. 1970-1970
Open Access | Times Cited: 21
A critical review of parameters governing the boiling characteristics of tube bundle on shell side of two-phase shell and tube heat exchangers
Subhakanta Moharana, Anirban Bhattacharya, Mihir Kumar Das
Thermal Science and Engineering Progress (2022) Vol. 29, pp. 101220-101220
Closed Access | Times Cited: 19
Prediction of Bone Healing around Dental Implants in Various Boundary Conditions by Deep Learning Network
Pei-Ching Kung, Chia-Wei Hsu, An-Cheng Yang, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 3, pp. 1948-1948
Open Access | Times Cited: 10
VISION-iT: A Framework for Digitizing Bubbles and Droplets
Youngjoon Suh, S. Chang, Peter Simadiris, et al.
Energy and AI (2023) Vol. 15, pp. 100309-100309
Open Access | Times Cited: 10
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
Multi-task image-based deep learning for boiling analysis: Material recognition and heat flux prediction
Mengqi Wu, Nan Gui, Xingtuan Yang, et al.
International Communications in Heat and Mass Transfer (2025) Vol. 163, pp. 108763-108763
Closed Access
Hit2flux: A machine learning framework for boiling heat flux prediction using hit-based acoustic emission sensing
Christy Dunlap, Changgen Li, Hari Pandey, et al.
(2025), pp. 100002-100002
Open Access
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