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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:

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

Showing 20 citing articles:

A comprehensive review of recent progresses in cathode materials for Proton-conducting SOFCs
Yang Gao, Mingming Zhang, Min Fu, et al.
Energy Reviews (2023) Vol. 2, Iss. 3, pp. 100038-100038
Open Access | Times Cited: 79
Comprehensive Analysis of Solid Oxide Fuel Cell Performance Degradation Mechanism, Prediction, and Optimization Studies
Jingxuan Peng, Dongqi Zhao, Yuanwu Xu, et al.
Energies (2023) Vol. 16, Iss. 2, pp. 788-788
Open Access | Times Cited: 28
A Review of Remaining Useful Life Prediction for Energy Storage Components Based on Stochastic Filtering Methods
Liyuan Shao, Yong Zhang, Xiujuan Zheng, et al.
Energies (2023) Vol. 16, Iss. 3, pp. 1469-1469
Open Access | Times Cited: 18
Exploring Recent Developments in Graphene-Based Cathode Materials for Fuel Cell Applications: A Comprehensive Overview
Somya Samantaray, Debabrata Mohanty, S. K. Satpathy, et al.
Molecules (2024) Vol. 29, Iss. 12, pp. 2937-2937
Open Access | Times Cited: 7
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
Efficient Replay Deep Meta Reinforcement Learning for Active Fault-Tolerant Control of Solid Oxide Fuel Cell Systems Considering Multivariable Coordination
Jiawen Li, Tao Zhou
IEEE Transactions on Transportation Electrification (2024) Vol. 11, Iss. 1, pp. 4803-4817
Closed Access | Times Cited: 5
Prediction of fuel cell performance degradation using a combined approach of machine learning and impedance spectroscopy
Zewei Lyu, Yige Wang, Anna Ściążko, et al.
Journal of Energy Chemistry (2023) Vol. 87, pp. 32-41
Closed Access | Times Cited: 15
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
Modeling and analysis of the multiphysics transport parameters of a kilowatt-class multistack module of reversible solid oxide cells
Chao Yang, Zepeng Li, Yadong Jin, et al.
Applied Thermal Engineering (2023) Vol. 235, pp. 121373-121373
Closed Access | Times Cited: 11
Temporal dilated convolution and nonlinear autoregressive network for predicting solid oxide fuel cell performance
Mohamadali Tofigh, A. Kharazmi, Daniel J. Smith, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108994-108994
Open Access | Times Cited: 2
Control-Oriented Extraction and Prediction of Key Performance Features Affecting Performance Variability of Solid Oxide Fuel Cell System
Jingxuan Peng, Jian Huang, Yuanzheng Li, et al.
IEEE Transactions on Transportation Electrification (2023) Vol. 10, Iss. 1, pp. 1771-1787
Closed Access | Times Cited: 5
An Intelligent Fault Diagnosis Framework for Rolling Bearings with Integrated Feature Extraction and Ordering-based Causal Discovery
Xu Ding, Junlong Wang, Hao Wu, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 10, pp. 16374-16386
Closed Access | Times Cited: 1
Developing a Time-Efficient Model for Solid Oxide Fuel Cells Using Self-Supervised Convolutional Autoencoder and Stateful LSTM Network
Mohamadali Tofigh, Zeynab Salehi, Daniel J. Smith, et al.
2022 American Control Conference (ACC) (2024) Vol. 521.7553, pp. 86-91
Closed Access | Times Cited: 1
Multichannel Dynamic Graph Convolutional Network-Based Fault Diagnosis and Its Application in Blast Furnace Ironmaking Process
Ping Wu, Yixuan Wang, Jinfeng Gao, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 23, pp. 29293-29302
Closed Access | Times Cited: 3
Short-Term Hybrid Prognostics of Fuel Cells: A Comparative and Improvement Study
Chuang Sheng, Jun Fu, Yanmin Zu, et al.
(2024)
Closed Access
Dynamic degradation identification of solid oxide fuel cell systems based on automatic spectral clustering and neighborhood rough sets
Jingxuan Peng, Zhonghua Deng, Xi Li
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) (2024), pp. 200-205
Closed Access
Enhanced temporal prediction of electrochemical impedance spectroscopy using long short-term memory neural networks
Zewei Lyu, Anna Ściążko, Naoki Shikazono, et al.
Electrochimica Acta (2024), pp. 145227-145227
Closed Access
Short-term hybrid prognostics of fuel cells: A comparative and improvement study
Chuang Sheng, Jun Fu, Hongchuan Qin, et al.
Renewable Energy (2024) Vol. 237, pp. 121742-121742
Closed Access
Multistate Reliability Analysis of Solid Oxide Fuel Cells Using Automatic Spectral Clustering and Neighborhood Rough Sets
Jingxuan Peng, Jian Huang, Yuanzheng Li, et al.
IEEE Transactions on Transportation Electrification (2023) Vol. 10, Iss. 1, pp. 95-109
Closed Access | Times Cited: 1
Theoretical investigation of SOFC/SOEC degradation mechanisms and mitigations
Fuming Jiang
(2022)
Open Access
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