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:

Estimation of forced heat convection in a rectangular channel with curved-winglet vortex generator: A machine learning approach
Adnan Berber, Mehmet Gürdal
Thermal Science and Engineering Progress (2022) Vol. 37, pp. 101563-101563
Closed Access | Times Cited: 16

Showing 16 citing articles:

Artificial intelligence approach for energy and entropy analyses of NiFe2O4/H2O nanofluid flow in a tube with vortex generator
Mehmet Gürdal
Engineering Analysis with Boundary Elements (2023) Vol. 152, pp. 277-292
Closed Access | Times Cited: 18

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

Machine Learning Approach for Flow Fields Over a Circular Cylinder Based on Particle Image Velocimetry Measurements
Muharrem Hilmi Aksoy, İlker Göktepeli, Murat Ispir, et al.
Measurement (2023) Vol. 223, pp. 113699-113699
Closed Access | Times Cited: 12

Effect on Machinability Characteristics of Cryogenic Process and Performance Assessment by Using Machine Learning Approach with Scaled Conjugate Gradient Algorithm
Mehmet Akkaş, Mehmet Gürdal
Iranian Journal of Science and Technology Transactions of Mechanical Engineering (2025)
Closed Access

Thermal behavior in solar distillation system using experimental and machine learning approach with scaled conjugated gradient algorithm
Yasin Özcan, Mehmet Gürdal, Emrah Deniz
Desalination (2025) Vol. 606, pp. 118765-118765
Closed Access

Investigation on heating gravel-clay mixed with PCM via air circulation during production
Jianyu Liang, Donghai Liu, Xianyang Yue
Applied Thermal Engineering (2025) Vol. 269, pp. 126158-126158
Closed Access

Numerical energy and entropy analyses of a tube with wavy tape insert including CoFe2O4/water nanofluid under laminar regime
Furkan Yıldırım, Mehmet Gürdal
International Journal of Heat and Fluid Flow (2024) Vol. 108, pp. 109447-109447
Closed Access | Times Cited: 3

Machine Learning Analysis of Thermal Performance Indicator of Heat Exchangers with Delta Wing Vortex Generators
Zafer Yavuz Aksöz, M. Erdem Günay, Muhammad Aziz, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1380-1380
Open Access | Times Cited: 2

Machine learning approach to predict flow fields induced by internal solitary waves acting on mid-water structures based on particle image velocimetry experiments
Xingwei Zhen, Yingying Lv, Yanqing Luo, et al.
Ocean Engineering (2024) Vol. 309, pp. 118326-118326
Closed Access | Times Cited: 2

A Review on Application of Pin-Fins in Enhancing Heat Transfer
Yang Tao, Xiaoming Zhang, Zhenyuan Chang, et al.
Energies (2024) Vol. 17, Iss. 17, pp. 4305-4305
Open Access | Times Cited: 2

Machine Learning in Heat Transfer: Taxonomy, Review and Evaluation
Sina Ardabili, Amir Mosavi, Imre Felde
(2023), pp. 000433-000442
Closed Access | Times Cited: 5

Reconstruction of flow field with missing experimental data of a circular cylinder via machine learning algorithm
Muharrem Hilmi Aksoy, İlker Göktepeli, Murat Ispir, et al.
Physics of Fluids (2023) Vol. 35, Iss. 11
Open Access | Times Cited: 4

Reliable prediction of peak cladding temperature during top reflooding processes: A neural network-based perception-interaction approach
Jianbin Shou, Wei Xu, Meiqi Song, et al.
Applied Thermal Engineering (2024) Vol. 256, pp. 124117-124117
Closed Access

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