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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 45 citing articles:

Deep neural networks for quick and precise geometry optimization of segmented thermoelectric generators
Chika Maduabuchi, Chibuoke Eneh, Abdulrahman Abdullah Alrobaian, et al.
Energy (2022) Vol. 263, pp. 125889-125889
Closed Access | Times Cited: 38
Enhancing pipeline integrity: a comprehensive review of deep learning-enabled finite element analysis for stress corrosion cracking prediction
Umair Sarwar, Ainul Akmar Mokhtar, Masdi Muhammad, et al.
Engineering Applications of Computational Fluid Mechanics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 8
Optimization of a unileg thermoelectric generator by the combination of Taguchi method and evolutionary neural network for green power generation
Wei‐Hsin Chen, Tzu‐Hsuan Huang, Ding Luo, et al.
Applied Thermal Engineering (2024) Vol. 248, pp. 123204-123204
Closed Access | Times Cited: 7
Multiobjective Optimization and Machine Learning Algorithms for Forecasting the 3E Performance of a Concentrated Photovoltaic-Thermoelectric System
Hisham Alghamdi, Chika Maduabuchi, Aminu Yusuf, et al.
International Journal of Energy Research (2023) Vol. 2023, pp. 1-22
Open Access | Times Cited: 14
Machine learning-based optimization of segmented thermoelectric power generators using temperature-dependent performance properties
Wabi Demeke, Byungki Ryu, Seunghwa Ryu
Applied Energy (2023) Vol. 355, pp. 122216-122216
Open Access | Times Cited: 13
Unsupervised transfer learning for monitoring CFRP responses using discrete strains
Yan Huai, Songhe Meng, Bo Gao, et al.
International Journal of Mechanical Sciences (2025), pp. 110142-110142
Closed Access
Integration of thermal insulation and thermoelectric conversion embedded with phase change materials
Z.H. Wang, Yu Ma, G.H. Tang, et al.
Energy (2023) Vol. 278, pp. 127784-127784
Closed Access | Times Cited: 12
Renewable Energy Potential Estimation Using Climatic-Weather-Forecasting Machine Learning Algorithms
Chika Maduabuchi, Chinedu C. Nsude, Chibuoke Eneh, et al.
Energies (2023) Vol. 16, Iss. 4, pp. 1603-1603
Open Access | Times Cited: 11
Transfer learning-based prediction and evaluation for ionic osmotic energy conversion under concentration and temperature gradients
Huangyi Zhu, Zhiguo Qu, Ziling Guo, et al.
Applied Energy (2025) Vol. 386, pp. 125574-125574
Closed Access
Machine Learning‐Based Solar Photovoltaic Power Forecasting for Nigerian Regions
Idogho Christian, Emmanuel Owoicho Abah, Joy Ojodunwene Onuhc, et al.
Energy Science & Engineering (2025)
Open Access
Review of empowering computer-aided engineering with artificial intelligence
Xuwen Zhao, Xingyu Tong, Fangwei Ning, et al.
Advances in Manufacturing (2025)
Open Access
Machine Learning Performance Prediction of a Solar Photovoltaic-Thermoelectric System with Various Crystalline Silicon Cell Types
Hisham Alghamdi, Chika Maduabuchi, Abdullah Albaker, et al.
International Journal of Energy Research (2023) Vol. 2023, pp. 1-26
Open Access | Times Cited: 9
A Novel Optimization Method for TEG System Performance Based on Temperature and Heat Flux
Yifu Zhou, Zhen Hu, Weiliang Jin, et al.
Energy Technology (2024) Vol. 12, Iss. 3
Closed Access | Times Cited: 3
Controlled Migration of Lithium Cations by Diamine Bridges in Water‐Processable Polymer‐Based Solid‐State Electrolyte Memory Layers for Organic Synaptic Transistors
Woongki Lee, Taehoon Kim, Hwajeong Kim, et al.
Advanced Materials (2024)
Closed Access | Times Cited: 3
A Comprehensive Review of Thermoelectric Cooling Technologies for Enhanced Thermal Management in Lithium-Ion Battery Systems
Mehwish Khan Mahek, Mohamad Ramadan, Sharul Sham Dol, et al.
Heliyon (2024) Vol. 10, Iss. 24, pp. e40649-e40649
Open Access | Times Cited: 3
Experimental study for artificial neural network modeling on thermal and flow performances of electric traction motor with oil spray cooling
Kunal Sandip Garud, Eun-Hyeok Kang, Seong-Guk Hwang, et al.
International Communications in Heat and Mass Transfer (2023) Vol. 148, pp. 107037-107037
Closed Access | Times Cited: 8
Performance prediction and optimization of annular thermoelectric generators based on a comprehensive surrogate model
Aoqi Xu, Changjun Xie, Liping Xie, et al.
Energy (2023) Vol. 290, pp. 130195-130195
Closed Access | Times Cited: 8
A review on recent applications of machine learning in mechanical properties of composites
Yi Liang, Xinyue Wei, Yongyue Peng, et al.
Polymer Composites (2024)
Closed Access | Times Cited: 2
Accurate prophecy of photovoltaic-segmented thermoelectric generator’s performance using a neural network that feeds on finite element-generated data
Chika Maduabuchi, Mohana Alanazi, Ahmed Alzahmi
Sustainable Energy Grids and Networks (2022) Vol. 32, pp. 100905-100905
Closed Access | Times Cited: 12
Predicting the Optimal Performance of a Concentrated Solar Segmented Variable Leg Thermoelectric Generator Using Neural Networks
Chika Maduabuchi, Hassan Fagehi, Ibrahim Alatawi, et al.
Energies (2022) Vol. 15, Iss. 16, pp. 6024-6024
Open Access | Times Cited: 11
A synergistic approach to optimizing the performance of a concentrating solar segmented variable area leg thermoelectric generator using numerical methods and neural networks
Hisham Alghamdi, Chika Maduabuchi, Abdullah Albaker, et al.
Journal of Thermal Analysis and Calorimetry (2024) Vol. 149, Iss. 11, pp. 5341-5365
Open Access | Times Cited: 2
Harnessing solar power: Innovations in nanofluid-cooled segmented thermoelectric generators for exergy, economic, environmental, and thermo-mechanical excellence
Hisham Alghamdi, Chika Maduabuchi, Kingsley Okoli, et al.
Alexandria Engineering Journal (2024) Vol. 106, pp. 147-163
Closed Access | Times Cited: 2
Artificial Neural Network Modeling to Predict Thermal and Electrical Performances of Batteries with Direct Oil Cooling
Kunal Sandip Garud, Jeong-Woo Han, Seong-Guk Hwang, et al.
Batteries (2023) Vol. 9, Iss. 11, pp. 559-559
Open Access | Times Cited: 6
Application Research and Case Analysis of Landscape Design in Artificial Intelligence Platform
Yunxia Cao
Scientific Programming (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 9
Assessing the Potential of Artificial Intelligence in Advancing Clean Energy Technologies in Europe: A Systematic Review
Sabina-Cristiana Necula
Energies (2023) Vol. 16, Iss. 22, pp. 7633-7633
Open Access | Times Cited: 5
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