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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:

Estimating the density of hybrid nanofluids for thermal energy application: Application of non-parametric and evolutionary polynomial regression data-intelligent techniques
Mehdi Jamei, Masoud Karbasi, Mehdi Mosharaf‐Dehkordi, et al.
Measurement (2021) Vol. 189, pp. 110524-110524
Closed Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Recent Advances in Machine Learning Research for Nanofluid-Based Heat Transfer in Renewable Energy System
Prabhakar Sharma, Zafar Said, Anurag Kumar, et al.
Energy & Fuels (2022) Vol. 36, Iss. 13, pp. 6626-6658
Closed Access | Times Cited: 243
HBO-LSTM: Optimized long short term memory with heap-based optimizer for wind power forecasting
Ahmed A. Ewees, Mohammed A. A. Al‐qaness, Laith Abualigah, et al.
Energy Conversion and Management (2022) Vol. 268, pp. 116022-116022
Closed Access | Times Cited: 116
Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques
Laith Abualigah, Raed Abu Zitar, Khaled H. Almotairi, et al.
Energies (2022) Vol. 15, Iss. 2, pp. 578-578
Open Access | Times Cited: 113
Application of novel framework based on ensemble boosted regression trees and Gaussian process regression in modelling thermal performance of small-scale Organic Rankine Cycle (ORC) using hybrid nanofluid
Zafar Said, Prabhakar Sharma, Arun Kumar Tiwari, et al.
Journal of Cleaner Production (2022) Vol. 360, pp. 132194-132194
Closed Access | Times Cited: 81
Quadratic regression analysis for nonlinear heat source/sink and mathematical Fourier heat law influences on Reiner-Philippoff hybrid nanofluid flow applying Galerkin finite element method
Tanveer Sajid, Wasim Jamshed, Rabha W. Ibrahim, et al.
Journal of Magnetism and Magnetic Materials (2023) Vol. 568, pp. 170383-170383
Closed Access | Times Cited: 50
Optimization of thermophysical properties of nanofluids using a hybrid procedure based on machine learning, multi-objective optimization, and multi-criteria decision-making
Tao Zhang, Anahita Manafi Khajeh Pasha, S. Mohammad Sajadi, et al.
Chemical Engineering Journal (2024) Vol. 485, pp. 150059-150059
Closed Access | Times Cited: 23
Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications
Abdelazim G. Hussien, Laith Abualigah, Raed Abu Zitar, et al.
Electronics (2022) Vol. 11, Iss. 12, pp. 1919-1919
Open Access | Times Cited: 63
Using Bayesian optimization and ensemble boosted regression trees for optimizing thermal performance of solar flat plate collector under thermosyphon condition employing MWCNT-Fe3O4/water hybrid nanofluids
Zafar Said, Prabhakar Sharma, L. Syam Sundar, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 53, pp. 102708-102708
Closed Access | Times Cited: 47
Computational methods to simulate molten salt thermophysical properties
Talmage Porter, Michael M. Vaka, Parker Steenblik, et al.
Communications Chemistry (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 40
Optimized ANFIS models based on grid partitioning, subtractive clustering, and fuzzy C-means to precise prediction of thermophysical properties of hybrid nanofluids
Zhongwei Zhang, Mohammed Al‐Bahrani, Behrooz Ruhani, et al.
Chemical Engineering Journal (2023) Vol. 471, pp. 144362-144362
Closed Access | Times Cited: 35
Nanofluids Minimal Quantity Lubrication Machining: From Mechanisms to Application
Anxue Chu, Changhe Li, Zongming Zhou, et al.
Lubricants (2023) Vol. 11, Iss. 10, pp. 422-422
Open Access | Times Cited: 26
A novel ensemble method for enhancing Internet of Things device security against botnet attacks
Amina Arshad, Maira Jabeen, Saqib Ubaid, et al.
Decision Analytics Journal (2023) Vol. 8, pp. 100307-100307
Open Access | Times Cited: 24
Cu-Graphene water-based hybrid nanofluids: synthesis, stability, thermophysical characterization, and figure of merit analysis
Aabid Hussain Shaik, Samarshi Chakraborty, Saboor Shaik, et al.
Journal of Thermal Analysis and Calorimetry (2024) Vol. 149, Iss. 7, pp. 2953-2968
Open Access | Times Cited: 9
Regression analysis of squeezing-induced hybrid nanofluid flow in Darcy-Forchheimer porous medium
Khursheed Muhammad, Mahnoor Sarfraz
Applied Mathematics and Mechanics (2025) Vol. 46, Iss. 1, pp. 193-208
Closed Access | Times Cited: 1
On Powell-Eyring hybridity nanofluidic flow based Carboxy-Methyl-Cellulose (CMC) with solar thermal radiation: A quadratic regression estimation
Nazrul Islam, Amjad Ali Pasha, Wasim Jamshed, et al.
International Communications in Heat and Mass Transfer (2022) Vol. 138, pp. 106413-106413
Closed Access | Times Cited: 32
The influence of fines on the hydro-mechanical behavior of sand for sustainable compacted liner and sub-base construction applications
Kennedy C. Onyelowe, Ahmed M. Ebid, Shadi Hanandeh, et al.
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 1, pp. 623-635
Closed Access | Times Cited: 20
Multivariate data decomposition based deep learning approach to forecast one-day ahead significant wave height for ocean energy generation
Zihao Zheng, Mumtaz Ali, Mehdi Jamei, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 185, pp. 113645-113645
Closed Access | Times Cited: 18
ResInformer: Residual Transformer-Based Artificial Time-Series Forecasting Model for PM2.5 Concentration in Three Major Chinese Cities
Mohammed A. A. Al‐qaness, Abdelghani Dahou, Ahmed A. Ewees, et al.
Mathematics (2023) Vol. 11, Iss. 2, pp. 476-476
Open Access | Times Cited: 17
Aquila Optimizer Based PSO Swarm Intelligence for IoT Task Scheduling Application in Cloud Computing
Laith Abualigah, Mohamed Abd Elaziz, Nima Khodadadi, et al.
Studies in computational intelligence (2022), pp. 481-497
Closed Access | Times Cited: 27
Global control of electrical supply: A variational mode decomposition-aided deep learning model for energy consumption prediction
A. A. Masrur Ahmed, Nadjem Bailek, Laith Abualigah, et al.
Energy Reports (2023) Vol. 10, pp. 2152-2165
Open Access | Times Cited: 14
3E (efficiency entropy, and exergy) analysis of a flat plate solar collector with a nanofluid based on reduced graphene oxide
Gaurav Bharadwaj, Kamal Kant Sharma, A.K. Pandey, et al.
Chemical Engineering Communications (2025), pp. 1-7
Closed Access
Thermodynamic analysis of shell and tube heat exchanger by using AgNO3-Graphene/H2O hybrid nanofluid
Prashant Azharuddin, Prashant Saini
Heat and Mass Transfer (2025) Vol. 61, Iss. 3
Closed Access
A nonparametric degradation modeling method based on generalized stochastic process with B-spline function and Kolmogorov hypothesis test considering distribution uncertainty
Zhongze He, Shaoping Wang, Di Liu
Computers & Industrial Engineering (2025), pp. 111036-111036
Closed Access
A hybrid genetic-particle swarm optimization algorithm for multi-constraint optimization problems
Bosong Duan, Chuangqiang Guo, Hong Liu
Soft Computing (2022) Vol. 26, Iss. 21, pp. 11695-11711
Closed Access | Times Cited: 18
Experimental investigation of synthesized Al2O3 Ionanofluid's energy storage properties: Model-prediction using gene expression programming
Praveen Kumar Kanti, K.V. Sharma, Anil Rao H N, et al.
Journal of Energy Storage (2022) Vol. 55, pp. 105718-105718
Closed Access | Times Cited: 17
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