
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:
Evaluation of prediction and modeling performance using machine learning methods for thermal parameters of heat sinks under forced convection: The case of external validation
Vahit Çorumlu, Volkan Altıntaş, Mesut Abuşka
International Communications in Heat and Mass Transfer (2024) Vol. 151, pp. 107228-107228
Closed Access | Times Cited: 6
Vahit Çorumlu, Volkan Altıntaş, Mesut Abuşka
International Communications in Heat and Mass Transfer (2024) Vol. 151, pp. 107228-107228
Closed Access | Times Cited: 6
Showing 6 citing articles:
Driving towards net-zero from the energy sector: Leveraging machine intelligence for robust optimization of coal and combined cycle gas power stations
Waqar Muhammad Ashraf, Vivek Dua
Energy Conversion and Management (2024) Vol. 314, pp. 118645-118645
Open Access | Times Cited: 5
Waqar Muhammad Ashraf, Vivek Dua
Energy Conversion and Management (2024) Vol. 314, pp. 118645-118645
Open Access | Times Cited: 5
Optimizing heat transfer predictions in HCNG engines: A novel model validation and comparative study via quasi-dimensional combustion modeling and artificial neural networks
Muhammad Ihsan Shahid, Anas Rao, Muhammad Farhan, et al.
International Journal of Hydrogen Energy (2024) Vol. 83, pp. 1263-1281
Closed Access | Times Cited: 2
Muhammad Ihsan Shahid, Anas Rao, Muhammad Farhan, et al.
International Journal of Hydrogen Energy (2024) Vol. 83, pp. 1263-1281
Closed Access | Times Cited: 2
A Novel Case of Honeycomb Shaped Pin Fin Heat Sink: CFD-Data Driven Machine Learning Models for Thermal Performance Prediction
Kazi Masuk Elahi, Nabil Mohammad Chowdhury, Mohammad Rejaul Haque, et al.
Case Studies in Thermal Engineering (2024), pp. 105088-105088
Open Access | Times Cited: 1
Kazi Masuk Elahi, Nabil Mohammad Chowdhury, Mohammad Rejaul Haque, et al.
Case Studies in Thermal Engineering (2024), pp. 105088-105088
Open Access | Times Cited: 1
Driving Towards Net-Zero: Leveraging Machine Intelligence for Robust Optimization of Coal and Combined Cycle Gas Power Stations
Waqar Muhammad Ashraf, Vivek Dua
(2024)
Closed Access
Waqar Muhammad Ashraf, Vivek Dua
(2024)
Closed Access
Forecasting regional in-situ thermal conductivity of soil based on tree-based ensemble learning
Xuquan Li, Mingyu Gong, Jierui Dong, et al.
International Communications in Heat and Mass Transfer (2024) Vol. 159, pp. 107996-107996
Closed Access
Xuquan Li, Mingyu Gong, Jierui Dong, et al.
International Communications in Heat and Mass Transfer (2024) Vol. 159, pp. 107996-107996
Closed Access
Assessing thermohydraulic performance in novel micro pin-fin heat sinks: A synergistic experimental, agile manufacturing, and machine learning approach
Mohammad Harris, Hamza Babar, Hongwei Wu
International Journal of Heat and Mass Transfer (2024) Vol. 239, pp. 126581-126581
Open Access
Mohammad Harris, Hamza Babar, Hongwei Wu
International Journal of Heat and Mass Transfer (2024) Vol. 239, pp. 126581-126581
Open Access