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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:

Artificial neural network hyperparameters optimization for predicting the thermal conductivity of MXene/graphene nanofluids
Yunyan Shang, Karrar A. Hammoodi, As’ad Alizadeh, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 164, pp. 105673-105673
Closed Access | Times Cited: 9

Showing 9 citing articles:

Integrating artificial neural networks, multi-objective metaheuristic optimization, and multi-criteria decision-making for improving MXene-based ionanofluids applicable in PV/T solar systems
Tao Hai, Ali Basem, As’ad Alizadeh, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Harnessing meta-heuristic, Bayesian, and search-based techniques in optimizing machine learning models for improved energy storage with microencapsulated PCMs
Lotfi Ben Said, Ali Basem, Abbas J. Sultan, et al.
International Communications in Heat and Mass Transfer (2025) Vol. 162, pp. 108537-108537
Closed Access
Accurate prediction of the rheological behavior of MWCNT-Al2O3/water-ethylene glycol nanofluid with metaheuristic-optimized machine learning models
Yi Ru, Ali B.M. Ali, Karwan Hussein Qader, et al.
International Journal of Thermal Sciences (2025) Vol. 211, pp. 109691-109691
Closed Access
Artificial intelligence interventions in 2D MXenes-based photocatalytic applications
Durga Madhab Mahapatra, Ashish Kumar, Rajesh Kumar, et al.
Coordination Chemistry Reviews (2025) Vol. 529, pp. 216460-216460
Closed Access
Synergizing Neural Networks with Multi-Objective Thermal Exchange Optimization and PROMETHEE Decision-Making to Improve PCM-based Photovoltaic Thermal Systems
Li Yongxin, Ali Basem, As’ad Alizadeh, et al.
Case Studies in Thermal Engineering (2025), pp. 105851-105851
Open Access
Multi-objective Optimization Framework for Nitrogen-containing Compound Generation in Nitrogen-enriched Pyrolysis: Integrating Fransfer Learning and Experimental Validation
Hui Wang, Dongmei Bi, Qingqing Qian, et al.
Journal of Analytical and Applied Pyrolysis (2025), pp. 107070-107070
Closed Access
Integrating artificial Intelligence-Based metaheuristic optimization with Machine learning to enhance Nanomaterial-Containing latent heat thermal energy storage systems
Ali Basem, Hanaa Kadhim Abdulaali, As’ad Alizadeh, et al.
Energy Conversion and Management X (2024), pp. 100835-100835
Open Access | Times Cited: 2
Simulation and accurate prediction of thermal efficiency of functionalized COOH-MWCNT/water nanofluids by Artificial Neural Network using experimental data
Mohammad Hemmat Esfe, Davood Toghraie, Saeed Esfandeh, et al.
Case Studies in Thermal Engineering (2024), pp. 105669-105669
Open Access
A novel approach for optimizing a photovoltaic thermal system combined with solar thermal collector: Integrating RSM, multi-objective bat algorithm and VIKOR decision maker
Chou‐Yi Hsu, Harikumar Pallathadka, Pinank Patel, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 168, pp. 105927-105927
Closed Access
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