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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.

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Showing 1-25 of 35 citing articles:

Prediction of impedance responses of protonic ceramic cells using artificial neural network tuned with the distribution of relaxation times
Xuhao Liu, Zilin Yan, Junwei Wu, et al.
Journal of Energy Chemistry (2023) Vol. 78, pp. 582-588
Closed Access | Times Cited: 22
High Temperature Solid Oxide Electrolysis for Green Hydrogen Production
Hua Liu, Miao Yu, Xiaofeng Tong, et al.
Chemical Reviews (2024) Vol. 124, Iss. 18, pp. 10509-10576
Closed Access | Times Cited: 13
Leveraging machine learning in porous media
Mostafa Delpisheh, Benyamin Ebrahimpour, Abolfazl Fattahi, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 32, pp. 20717-20782
Open Access | Times Cited: 8
A novel feature susceptibility approach for a PEMFC control system based on an improved XGBoost-Boruta algorithm
Xinjie Yuan, Fujun Chen, Zenggang Xia, et al.
Energy and AI (2023) Vol. 12, pp. 100229-100229
Open Access | Times Cited: 18
Prediction of compressive mechanical properties of three-dimensional mesoscopic aluminium foam based on deep learning method
Weimin Zhuang, Enming Wang, Hailun Zhang
Mechanics of Materials (2023) Vol. 182, pp. 104684-104684
Closed Access | Times Cited: 18
A review of image processing and quantification analysis for solid oxide fuel cell
Kar Shen Tan, Chee Kiang Lam, Tan Wee Choon, et al.
Energy and AI (2024) Vol. 16, pp. 100354-100354
Open Access | Times Cited: 6
Transient modeling of a solid oxide fuel cell using an efficient deep learning HY-CNN-NARX paradigm
Mohamadali Tofigh, Zeynab Salehi, A. Kharazmi, et al.
Journal of Power Sources (2024) Vol. 606, pp. 234555-234555
Open Access | Times Cited: 5
Advances in additive manufacturing of fuel cells: A review of technologies, materials, and challenges
Rohit Singh, Rana Pratap, A. N. Jinoop, et al.
Sustainable materials and technologies (2025), pp. e01317-e01317
Open Access
Effects of feedstock structure and spraying power on microstructure, mechanical and thermal properties of yttria‐stabilized zirconia coatings
Liuyang Bai, Gewen Yi, Shanhong Wan, et al.
International Journal of Applied Ceramic Technology (2025)
Closed Access
Performance Prediction and Evaluation of Biogas-Fed Solid Oxide Fuel Cell Plants Based on the Spatial and Temporal Fusion Model under Fluctuation Fuel Types and Processing Options
Shuai Ma, R.B. Jia, Yanan Li, et al.
ACS Omega (2025)
Open Access
Glycerol-assisted co-electrolysis in solid oxide electrolyzer cell (SOEC) for green syngas production: A 2D modelling study
Chen Wang, Zheng Li, Daqin Guan, et al.
Fuel (2023) Vol. 353, pp. 129227-129227
Closed Access | Times Cited: 14
Prediction of electrode microstructure evolutions with physically constrained unsupervised image-to-image translation networks
Anna Ściążko, Yosuke Komatsu, Takaaki Shimura, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 4
Generalized Spatial–Temporal Fault Location Method for Solid Oxide Fuel Cells Using LSTM and Causal Inference
Jingxuan Peng, Jian Huang, Chang Jiang, et al.
IEEE Transactions on Transportation Electrification (2022) Vol. 8, Iss. 4, pp. 4583-4594
Closed Access | Times Cited: 20
Progress in nanomaterials fabrication and their prospects in artificial intelligence towards solid oxide fuel cells: A review
Shammya Afroze, Md Sumon Reza, Md. Ruhul Amin, et al.
International Journal of Hydrogen Energy (2022) Vol. 52, pp. 216-247
Closed Access | Times Cited: 19
Assessing performance degradation induced by thermal cycling in solid oxide cells
Yang Wang, Cheng‐Ru Wu, Siyuan Zhao, et al.
Energy Conversion and Management (2022) Vol. 270, pp. 116239-116239
Closed Access | Times Cited: 18
An open source framework for advanced Multi-physics and multiscale modelling of solid oxide fuel cells
Wanhui Zhao, Valerie J. Pinfield, Huizhi Wang, et al.
Energy Conversion and Management (2023) Vol. 280, pp. 116791-116791
Open Access | Times Cited: 10
Overcoming a recent impasse in the application of artificial neural networks as solid oxide fuel cells simulator with computational topology
Grzegorz Brus
Energy and AI (2023) Vol. 14, pp. 100291-100291
Open Access | Times Cited: 8
Numerical analysis on the anode active thickness using quasi-three-dimensional solid oxide fuel cell model
Tan Wee Choon, Eng Aik Lim, Hamimah Abd Rahman, et al.
International Journal of Hydrogen Energy (2023) Vol. 48, Iss. 50, pp. 19217-19232
Closed Access | Times Cited: 7
An adaptive thermo-mechanical peridynamic model for crack analysis in anode-supported solid oxide fuel cell
Xiang Yu, Zheng Zhong, Zhenjun Jiao
Journal of Power Sources (2022) Vol. 547, pp. 231998-231998
Closed Access | Times Cited: 11
π Learning: A Performance‐Informed Framework for Microstructural Electrode Design
Zhiqiang Niu, Wanhui Zhao, Billy Wu, et al.
Advanced Energy Materials (2023) Vol. 13, Iss. 17
Open Access | Times Cited: 5
A parametric analysis of the long term performance of a solid oxide fuel cell anode
Tomasz Prokop, Szymon Buchaniec, Janusz S. Szmyd, et al.
International Journal of Heat and Fluid Flow (2024) Vol. 110, pp. 109583-109583
Open Access | Times Cited: 1
Development and industrialization progress of solid oxide cell in China
Bowen Wang, RUI WANG, Ruihao Lu, et al.
International Journal of Green Energy (2024), pp. 1-9
Closed Access | Times Cited: 1
Microstructure homogenization: human vs machine
Julian Lißner, Felix Fritzen
Advanced Modeling and Simulation in Engineering Sciences (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Prediction of the permeability of fibrous porous structures under the full flow regimes
Bingzhu Lai, Zelin Wang, Wang Hui, et al.
Physics of Fluids (2022) Vol. 34, Iss. 8
Closed Access | Times Cited: 7
Machine learning for predicting fuel cell and battery polarisation and charge–discharge curves
A.A. Shah, Feilin Yu, Wei Xing, et al.
Energy Reports (2022) Vol. 8, pp. 4811-4821
Open Access | Times Cited: 7
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