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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:

Machine learning algorithms for improving the prediction of air injection effect on the thermohydraulic performance of shell and tube heat exchanger
Emad M.S. El‐Said, Mohamed Abd Elaziz, Ammar H. Elsheikh
Applied Thermal Engineering (2020) Vol. 185, pp. 116471-116471
Closed Access | Times Cited: 93

Showing 1-25 of 93 citing articles:

Applications of machine learning in friction stir welding: Prediction of joint properties, real-time control and tool failure diagnosis
Ammar H. Elsheikh
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105961-105961
Closed Access | Times Cited: 135
Predictive modelling for solar power-driven hybrid desalination system using artificial neural network regression with Adam optimization
Hanaa Salem, A.E. Kabeel, Emad M.S. El‐Said, et al.
Desalination (2021) Vol. 522, pp. 115411-115411
Closed Access | Times Cited: 103
Random vector functional link network: Recent developments, applications, and future directions
A. K. Malik, Ruobin Gao, M. A. Ganaie, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110377-110377
Open Access | Times Cited: 97
Predicting Characteristics of Dissimilar Laser Welded Polymeric Joints Using a Multi-Layer Perceptrons Model Coupled with Archimedes Optimizer
Essam B. Moustafa, Ammar H. Elsheikh
Polymers (2023) Vol. 15, Iss. 1, pp. 233-233
Open Access | Times Cited: 95
Machine learning-based prediction and augmentation of dish solar distiller performance using an innovative convex stepped absorber and phase change material with nanoadditives
Ahmad Bamasag, Fadl A. Essa, Z.M. Omara, et al.
Process Safety and Environmental Protection (2022) Vol. 162, pp. 112-123
Closed Access | Times Cited: 94
Water distillation tower: Experimental investigation, economic assessment, and performance prediction using optimized machine-learning model
Ammar H. Elsheikh, Emad M.S. El‐Said, Mohamed Abd Elaziz, et al.
Journal of Cleaner Production (2023) Vol. 388, pp. 135896-135896
Closed Access | Times Cited: 92
A coupled artificial neural network with artificial rabbits optimizer for predicting water productivity of different designs of solar stills
Abdulmohsen Alsaiari, Essam B. Moustafa, Hesham Alhumade, et al.
Advances in Engineering Software (2022) Vol. 175, pp. 103315-103315
Closed Access | Times Cited: 89
A comprehensive review of methods of heat transfer enhancement in shell and tube heat exchangers
S.A. Marzouk, M.M. Abou Al-Sood, Emad M.S. El‐Said, et al.
Journal of Thermal Analysis and Calorimetry (2023) Vol. 148, Iss. 15, pp. 7539-7578
Open Access | Times Cited: 58
Optimization of ultrasonic-excited double-pipe heat exchanger with machine learning and PSO
Morteza Esfandyari, Amin Amiri Delouei, A. S. Jalai
International Communications in Heat and Mass Transfer (2023) Vol. 147, pp. 106985-106985
Closed Access | Times Cited: 41
Machine Learning-Optimized Compact Frequency Reconfigurable Antenna With RSSI Enhancement for Long-Range Applications
Muhammad Sani Yahya, Socheatra Soeung, Sharul Kamal Abdul Rahim, et al.
IEEE Access (2024) Vol. 12, pp. 10970-10987
Open Access | Times Cited: 17
Machine learning approaches for the prediction of thermal performance of multilayer insulation materials at low temperatures
Anas A. Rahman, Bo Wang, Jiahao Yu, et al.
Applied Thermal Engineering (2025) Vol. 264, pp. 125527-125527
Closed Access | Times Cited: 1
Experimental investigation on laser cutting of PMMA sheets: Effects of process factors on kerf characteristics
Ahmed B. Khoshaim, Ammar H. Elsheikh, Essam B. Moustafa, et al.
Journal of Materials Research and Technology (2021) Vol. 11, pp. 235-246
Open Access | Times Cited: 83
Utilization of ensemble random vector functional link network for freshwater prediction of active solar stills with nanoparticles
Mohamed Abd Elaziz, Fadl A. Essa, Ammar H. Elsheikh
Sustainable Energy Technologies and Assessments (2021) Vol. 47, pp. 101405-101405
Closed Access | Times Cited: 78
Predicting the performance of solar dish Stirling power plant using a hybrid random vector functional link/chimp optimization model
Mohamed E. Zayed, Jun Zhao, Wenjia Li, et al.
Solar Energy (2021) Vol. 222, pp. 1-17
Closed Access | Times Cited: 68
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: 59
Utilization of random vector functional link integrated with manta ray foraging optimization for effluent prediction of wastewater treatment plant
Khaled Elmaadawy, Mohamed Abd Elaziz, Ammar H. Elsheikh, et al.
Journal of Environmental Management (2021) Vol. 298, pp. 113520-113520
Closed Access | Times Cited: 55
Performance prediction of a reverse osmosis unit using an optimized Long Short-term Memory model by hummingbird optimizer
Fadl A. Essa, Mohamed Abd Elaziz, Mohammed Azmi Al‐Betar, et al.
Process Safety and Environmental Protection (2022) Vol. 169, pp. 93-106
Open Access | Times Cited: 53
A comparative numerical study of shell and multi-tube heat exchanger performance with different baffles configurations
S.A. Marzouk, M.M. Abou Al-Sood, Magda K. El-Fakharany, et al.
International Journal of Thermal Sciences (2022) Vol. 179, pp. 107655-107655
Closed Access | Times Cited: 42
Performance enhancement of a C-shaped printed circuit heat exchanger in supercritical CO2 Brayton cycle: A machine learning-based optimization study
Muhammad Saeed, Abdallah S. Berrouk, Yasser F. Al Wahedi, et al.
Case Studies in Thermal Engineering (2022) Vol. 38, pp. 102276-102276
Open Access | Times Cited: 40
Investigation of double-layered wavy microchannel heatsinks utilizing porous ribs with artificial neural networks
Özgür Bayer, Seyedmohsen Baghaei Oskouei, Selin Aradağ
International Communications in Heat and Mass Transfer (2022) Vol. 134, pp. 105984-105984
Closed Access | Times Cited: 37
Study on thermal-hydraulic performance of printed circuit heat exchangers with supercritical methane based on machine learning methods
Qian Li, Qi Zhan, Shipeng Yu, et al.
Energy (2023) Vol. 282, pp. 128711-128711
Closed Access | Times Cited: 27
Modelling of thermo-hydraulic behavior of a helical heat exchanger using machine learning model and fire hawk optimizer
Mohammed Mudhsh, Emad M.S. El‐Said, Ahmad O. Aseeri, et al.
Case Studies in Thermal Engineering (2023) Vol. 49, pp. 103294-103294
Open Access | Times Cited: 24
Sustainability issues of solar desalination hybrid systems integrated with heat exchangers for the production of drinking water: A review
Dhananjay Singh, Deepak Kumar Singh, Vinay Mishra, et al.
Desalination (2023) Vol. 566, pp. 116930-116930
Closed Access | Times Cited: 23
Augmentation of heat exchanger performance with hybrid nanofluids: Identifying research gaps and future indications - A review
Mashruf Islam Rafid, A.K. Azad, S.M. Prottoy, et al.
International Communications in Heat and Mass Transfer (2024) Vol. 155, pp. 107537-107537
Closed Access | Times Cited: 11
Review of Machine Learning applications in Additive Manufacturing
Sirajudeen Inayathullah, Raviteja Buddala
Results in Engineering (2024) Vol. 25, pp. 103676-103676
Open Access | Times Cited: 11
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