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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.

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Showing 1-25 of 69 citing articles:

Designing artificial neural network of nanoparticle diameter and solid–fluid interfacial layer on single‐walled carbon nanotubes/ethylene glycol nanofluid flow on thin slendering needles
Anum Shafiq, Andaç Batur Çolak, Tabassum Naz Sindhu
International Journal for Numerical Methods in Fluids (2021) Vol. 93, Iss. 12, pp. 3384-3404
Closed Access | Times Cited: 121
Estimation of unsteady hydromagnetic Williamson fluid flow in a radiative surface through numerical and artificial neural network modeling
Anum Shafiq, Andaç Batur Çolak, Tabassum Naz Sindhu, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 115
Modeling of Soret and Dufour’s Convective Heat Transfer in Nanofluid Flow Through a Moving Needle with Artificial Neural Network
Anum Shafiq, Andaç Batur Çolak, Tabassum Naz Sindhu
Arabian Journal for Science and Engineering (2022) Vol. 48, Iss. 3, pp. 2807-2820
Closed Access | Times Cited: 77
Modeling of Darcy–Forchheimer bioconvective Powell Eyring nanofluid with artificial neural network
Andaç Batur Çolak, Anum Shafiq, Tabassum Naz Sindhu
Chinese Journal of Physics (2022) Vol. 77, pp. 2435-2453
Closed Access | Times Cited: 76
A class of promising fuel cell performance: International status on the application of nanofluids for thermal management systems
A.G.N. Sofiah, Jagadeesh Pasupuleti, M. Samykano, et al.
Materials Today Sustainability (2024) Vol. 26, pp. 100709-100709
Closed Access | Times Cited: 18
Electrical efficiency of the photovoltaic/thermal collectors cooled by nanofluids: Machine learning simulation and optimization by evolutionary algorithm
Yan Cao, Elham Kamrani, Saeid Mirzaei, et al.
Energy Reports (2021) Vol. 8, pp. 24-36
Open Access | Times Cited: 100
Immense impact from small particles: Review on stability and thermophysical properties of nanofluids
A.G.N. Sofiah, M. Samykano, A.K. Pandey, et al.
Sustainable Energy Technologies and Assessments (2021) Vol. 48, pp. 101635-101635
Closed Access | Times Cited: 69
Employing Deep Learning Neural Networks for Characterizing Dual-Porosity Reservoirs Based on Pressure Transient Tests
Rakesh Kumar Pandey, Anil Kumar, Ajay Mandal, et al.
Journal of Energy Resources Technology (2022) Vol. 144, Iss. 11
Closed Access | Times Cited: 39
Reliability study of generalized Rayleigh distribution based on inverse power law using artificial neural network with Bayesian regularization
Andaç Batur Çolak, Tabassum Naz Sindhu, Showkat Ahmad Lone, et al.
Tribology International (2023) Vol. 185, pp. 108544-108544
Closed Access | Times Cited: 28
Towards highly efficient solar photovoltaic thermal cooling by waste heat utilization: A review
Mena Maurice Farag, Abdul-Kadir Hamid, Maryam Nooman AlMallahi, et al.
Energy Conversion and Management X (2024) Vol. 23, pp. 100671-100671
Open Access | Times Cited: 12
A novel comparative investigation of the effect of the number of neurons on the predictive performance of the artificial neural network: An experimental study on the thermal conductivity of ZrO 2 nanofluid
Andaç Batur Çolak
International Journal of Energy Research (2021) Vol. 45, Iss. 13, pp. 18944-18956
Open Access | Times Cited: 46
Statistical review of studies on the estimation of thermophysical properties of nanofluids using artificial neural network (ANN)
Mohammad Hemmat Esfe, Mohammad Hassan Kamyab, Davood Toghraie
Powder Technology (2022) Vol. 400, pp. 117210-117210
Closed Access | Times Cited: 33
A Review on Thermophysical Property Assessment of Metal Oxide-Based Nanofluids: Industrial Perspectives
Surendran Sujith, Hansoo Kim, Joonho Lee
Metals (2022) Vol. 12, Iss. 1, pp. 165-165
Open Access | Times Cited: 31
Analysis of the effect of arrhenius activation energy and temperature dependent viscosity on non-newtonian maxwell nanofluid bio-convective flow with partial slip by artificial intelligence approach
Andaç Batur Çolak
Chemical Thermodynamics and Thermal Analysis (2022) Vol. 6, pp. 100039-100039
Open Access | Times Cited: 29
Artificial neural network model of non-Darcy MHD Sutterby hybrid nanofluid flow over a curved permeable surface: Solar energy applications
Shaik Jakeer, Maduru Lakshmi Rupa, Seethi Reddy Reddisekhar Reddy, et al.
Propulsion and Power Research (2023) Vol. 12, Iss. 3, pp. 410-427
Open Access | Times Cited: 20
Comprehensive study and scientific process to increase the accuracy in estimating the thermal conductivity of nanofluids containing SWCNTs and CuO nanoparticles using an artificial neural network
Mohammad Hemmat Esfe, Fatemeh Amoozad, Hossein Hatami, et al.
Micro and Nano Systems Letters (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 7
Optimization of micro‐rotation effect on magnetohydrodynamic nanofluid flow with artificial neural network
Anum Shafiq, Andaç Batur Çolak, Tabassum Naz Sindhu
ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik (2024) Vol. 104, Iss. 8
Closed Access | Times Cited: 5
Thermal performance evaluation for different type of metal oxide water based nanofluids
Tang Tsz Loong, Hamidon Salleh, Amir Khalid, et al.
Case Studies in Thermal Engineering (2021) Vol. 27, pp. 101288-101288
Open Access | Times Cited: 38
Artificial intelligence approach on predicting current values of polymer interface Schottky diode based on temperature and voltage: An experimental study
Tamer Güzel, Andaç Batur Çolak
Superlattices and Microstructures (2021) Vol. 153, pp. 106864-106864
Closed Access | Times Cited: 37
Prediction of gas yield generated by energy recovery from municipal solid waste using deep neural network and moth-flame optimization algorithm
Libing Yang, Hoang Nguyen, Xuan-Nam Bui, et al.
Journal of Cleaner Production (2021) Vol. 311, pp. 127672-127672
Closed Access | Times Cited: 37
Optimization and design of ANN with Levenberg-Marquardt algorithm to increase the accuracy in predicting the viscosity of SAE40 oil-based hybrid nano-lubricant
Mohammad Hemmat Esfe, Davood Toghraie, Fatemeh Amoozadkhalili
Powder Technology (2022) Vol. 415, pp. 118097-118097
Closed Access | Times Cited: 22
Application of Machine Learning Algorithms in Predicting Rheological Behavior of BN-diamond/Thermal Oil Hybrid Nanofluids
Abulhassan Ali, Nawal Noshad, Abhishek Kumar, et al.
Fluids (2024) Vol. 9, Iss. 1, pp. 20-20
Open Access | Times Cited: 4
Exploring the influence of nanolayer morphology on magnetized tri-hybrid nanofluid flow using artificial neural networks and Levenberg–Marquardt optimization
Faisal, Abdul Rauf, Fiaz Ahmad, et al.
Numerical Heat Transfer Part B Fundamentals (2024), pp. 1-23
Closed Access | Times Cited: 4
Effect of particle behavior on the apparent viscosity of semi-solid metal: CFD-DEM simulation and artificial neural networks prediction
Dianqiao Geng, Dandan Yan, Wenjie Yu, et al.
Particuology (2025)
Closed Access
Artificial Neural Network prediction on negative and positive activation energy of magnetohydrodynamic nanofluid flow with multiple slips
Suman Sarkar, Hiranmoy Mondal, Prabir Kumar Kundu
Hybrid Advances (2025), pp. 100452-100452
Open Access
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