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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:

Predicting heat transfer rate of a ribbed triple-tube heat exchanger working with nanofluid using neural network enhanced by advanced optimization algorithms
Mehdi Bahiraei, Loke Kok Foong, Siavash Hosseini, et al.
Powder Technology (2020) Vol. 381, pp. 459-476
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Construction of CeO2/YMnO3 and CeO2/MgAl2O4/YMnO3 photocatalysts and adsorption of dyes and photocatalytic oxidation of antibiotics: Performance prediction, degradation pathway and mechanism insight
Shifa Wang, Maoyuan Li, Huajing Gao, et al.
Applied Surface Science (2022) Vol. 608, pp. 154977-154977
Closed Access | Times Cited: 130
Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review
Mehrdad Kaveh, Mohammad Saadi Mesgari
Neural Processing Letters (2022) Vol. 55, Iss. 4, pp. 4519-4622
Open Access | Times Cited: 126
Neural network-assisted analysis of MHD boundary layer flow and thermal radiation effects on SWCNT nanofluids with Maxwellian and non-Maxwellian models
K. Jyothi, A. Sailakumari, Ramachandra Reddy Vaddemani, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 2
Closed Access | Times Cited: 2
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: 29
Modified Whale Optimization Algorithm based ANN: a novel predictive model for RO desalination plant
Rajesh Mahadeva, Mahendra Kumar, Vinay Gupta, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 26
Numerical investigation on assessing the influence of diverse-shaped hybrid nanofluids on thermal performance of triple tube heat exchanger
Sunil Kumar Gaur, Rashmi Rekha Sahoo, Jahar Sarkar
Powder Technology (2024) Vol. 439, pp. 119690-119690
Closed Access | Times Cited: 10
Application of Wavelet Feature Extraction and Artificial Neural Networks for Improving the Performance of Gas–Liquid Two-Phase Flow Meters Used in Oil and Petrochemical Industries
Siavash Hosseini, Osman Taylan, Mona Abusurrah, et al.
Polymers (2021) Vol. 13, Iss. 21, pp. 3647-3647
Open Access | Times Cited: 44
A comprehensive review of heat transfer enhancement and flow characteristics in the concentric pipe heat exchanger
Haojie Li, Yuan Wang, You Han, et al.
Powder Technology (2021) Vol. 397, pp. 117037-117037
Closed Access | Times Cited: 41
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
Two-phase simulation of irreversibilities for Ag–water nanofluid flow inside an elliptical pin-fin heat sink: Entropy generation and exergy considerations
Mehdi Bahiraei, Nima Mazaheri, Mohammad Rasool Daneshyar, et al.
Powder Technology (2022) Vol. 409, pp. 117723-117723
Closed Access | Times Cited: 22
Employing ensemble machine learning techniques for predicting the thermohydraulic performance of double pipe heat exchanger with and without turbulators
S. Sammil, M. Sridharan
Thermal Science and Engineering Progress (2023) Vol. 47, pp. 102337-102337
Closed Access | Times Cited: 14
Numerical investigation on thermohydraulic and exergy performance enhancement for triplex concentric tube heat exchanger using MXene nanofluids
Sunil Kumar Gaur, Rashmi Rekha Sahoo, Jahar Sarkar
International Journal of Energy and Water Resources (2024)
Closed Access | Times Cited: 5
Thermo-hydraulic performance investigation of triple-tube heat exchanger with MXene-based various shape hybrid nanofluids
Sunil Kumar Gaur, Rashmi Rekha Sahoo, Jahar Sarkar
Journal of Thermal Analysis and Calorimetry (2024) Vol. 149, Iss. 7, pp. 3071-3084
Closed Access | Times Cited: 4
Improvised grey wolf optimizer assisted artificial neural network (IGWO-ANN) predictive models to accurately predict the permeate flux of desalination plants
Rajesh Mahadeva, Mahendra Kumar, Anjali Diwan, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e34132-e34132
Open Access | Times Cited: 4
A fast design tool for compact heat exchangers tube geometry to enhance thermohydraulic performance using various AI models
Na Sun, Shuai Zhang, Nan Li, et al.
Expert Systems with Applications (2025) Vol. 271, pp. 126635-126635
Closed Access
Intelligent and optimized nanofluid heat transfer for tube shape heat exchanger
Endrick Contractor, Bhoomika Amrutlal Domadia, Ashish J. Modi, et al.
International Communications in Heat and Mass Transfer (2025) Vol. 164, pp. 108864-108864
Closed Access
Sensitivity analysis and performance prediction of a micro plate heat exchanger by use of intelligent approaches
Yerlan K. Dossumbekov, Nurkhat Zhakiyev, Mohammad Alhuyi Nazari, et al.
International Journal of Thermofluids (2024) Vol. 22, pp. 100601-100601
Open Access | Times Cited: 3
Temperature Prediction and Performance Comparison of Permanent Magnet Synchronous Motors Using Different Machine Learning Techniques for Early Failure Detection
Emrah Aslan
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2024)
Open Access | Times Cited: 3
Second law performance of a novel four-layer microchannel heat exchanger operating with nanofluid through a two-phase simulation
Nima Mazaheri, Mehdi Bahiraei, Shabnam Razi
Powder Technology (2021) Vol. 396, pp. 673-688
Closed Access | Times Cited: 18
Thermal and flow performance analysis of a concentrated linear Fresnel solar collector with transverse ribs
Husam Abdulrasool Hasan, Jenan S. Sherza, Azher M. Abed, et al.
Frontiers in Chemistry (2023) Vol. 10
Open Access | Times Cited: 6
Development of novel optimized deep learning algorithms for wildfire modeling: A case study of Maui, Hawai‘i
Fatemeh Rezaie, Mahdi Panahi, Sayed M. Bateni, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106699-106699
Closed Access | Times Cited: 6
Fuzzy surfacelet neural network evaluation model optimized by adaptive dragonfly algorithm for pipeline network integrity management
Jiaming Sun, Bin Zhao, Diankui Gao, et al.
Applied Soft Computing (2021) Vol. 113, pp. 107862-107862
Closed Access | Times Cited: 14
Deep Neural Network Modeling for Accurate Electric Motor Temperature Prediction
Siavash Hosseini, Amirmohammad Shahbandegan, Thangarajah Akilan
(2022), pp. 170-175
Closed Access | Times Cited: 10
Multi-criterion optimization of a biologically-produced nanofluid flow inside tubes fitted with coaxial twisted tape based on first and second law viewpoints
Shoaib Khanmohammadi, Nima Mazaheri, Mehdi Bahiraei
Powder Technology (2022) Vol. 412, pp. 117930-117930
Closed Access | Times Cited: 9
Thermal characterisation of triple tube heat exchangers by parameter estimation approach
Matteo Malavasi, Luca Cattani, Pamela Vocale, et al.
International Journal of Heat and Mass Transfer (2021) Vol. 178, pp. 121598-121598
Closed Access | Times Cited: 10
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