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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:

Data-driven modeling-based digital twin of supercritical coal-fired boiler for metal temperature anomaly detection
Zhipeng Cui, Jing Xu, Wenhao Liu, et al.
Energy (2023) Vol. 278, pp. 127959-127959
Closed Access | Times Cited: 21

Showing 21 citing articles:

A physics-driven and machine learning-based digital twinning approach to transient thermal systems
Armando Di Meglio, Nicola Massarotti, Perumal Nithiarasu
International Journal of Numerical Methods for Heat & Fluid Flow (2024) Vol. 34, Iss. 6, pp. 2229-2256
Open Access | Times Cited: 7
Modal decomposition integrated model for ultra-supercritical coal-fired power plant reheater tube temperature multi-step prediction
Linfei Yin, Hang Zhou
Energy (2024) Vol. 292, pp. 130521-130521
Closed Access | Times Cited: 6
A multi-level digital twin construction method of assembly line based on hybrid worker digital twin models
Xi Zhang, Ye Yang, Xin Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102597-102597
Closed Access | Times Cited: 5
Nonlinear state estimation of a power plant superheater by using the extended Kalman filter for differential algebraic equation systems
Vivek Saini, Debangsu Bhattacharyya, Daniel Purdy, et al.
Applied Thermal Engineering (2024) Vol. 251, pp. 123471-123471
Closed Access | Times Cited: 5
Six-dimensional digital twin modeling and software platform design for complex industrial systems
Nan Li, Gang Xie, Xiaohong Zhang, et al.
Journal of Intelligent Manufacturing (2025)
Closed Access
Hybrid modeling-based digital twin of the direct air cooling system for operational performance optimization
Zhipeng Cui, Hao Jing, Dengliang Wang, et al.
Energy (2025), pp. 135419-135419
Closed Access
System-level modeling, analysis and coordinated control design for the pressurized water reactor nuclear power system
Chengcheng Cui, Junli Zhang, Jiong Shen
Energy (2023) Vol. 283, pp. 128472-128472
Closed Access | Times Cited: 12
NPP Accident Prevention: Integrated Neural Network for Coupled Multivariate Time Series Prediction based on PSO and its application under uncertainty analysis for NPP data
Xiao Xiao, Xuan Zhang, Meiqi Song, et al.
Energy (2024) Vol. 305, pp. 132374-132374
Closed Access | Times Cited: 4
Development of hybrid first principles – Artificial intelligence models for transient modeling of power plant superheaters under load-following operation
Angan Mukherjee, Vivek Saini, Samuel Adeyemo, et al.
Applied Thermal Engineering (2024) Vol. 262, pp. 124795-124795
Closed Access | Times Cited: 3
Knowledge-inspired data-driven prediction of overheating risks in flexible thermal-power plants
Zhimin Wang, Qian Huang, Guanqing Liu, et al.
Applied Energy (2024) Vol. 364, pp. 123185-123185
Closed Access | Times Cited: 2
Data based digital twin for operational performance optimization in CFB Boilers
Jing Xu, Zhipeng Cui, Suxia Ma, et al.
Energy (2024) Vol. 306, pp. 132532-132532
Closed Access | Times Cited: 2
Novel approach for industrial process anomaly detection based on process mining
Yilin Shi, Ning Zhang, Xiaolu Song, et al.
Journal of Process Control (2024) Vol. 136, pp. 103165-103165
Closed Access | Times Cited: 1
Application of anomaly detection based on deep learning in digital twin
zeyin su
(2024), pp. 19-19
Closed Access | Times Cited: 1
A data-driven regression model for predicting thermal plant performance under load fluctuations
Gleb Prokhorskii, Souman Rudra, Markus Preißinger, et al.
Carbon Neutrality (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 1
A Novel Data Mining Framework to Investigate Causes of Boiler Failures in Waste-to-Energy Plants
Dong Wang, Lili Jiang, Måns Kjellander, et al.
Processes (2024) Vol. 12, Iss. 7, pp. 1346-1346
Open Access
3-D full-field reconstruction of chemically reacting flow towards high-dimension conditions through machine learning
Linzheng Wang, Ruiqu Deng, Ruizhi Zhang, et al.
Chemical Engineering Journal (2024), pp. 156435-156435
Closed Access
Research on the construction of digital twin virtual model of coal mills
Weiming Yin, Yefa Hu, Guoping Ding, et al.
Measurement (2024) Vol. 242, pp. 116235-116235
Closed Access
Development and demonstration of advanced predictive and prescriptive algorithms to control industrial installation
Wojciech Adamczyk, Kari Myöhänen, Marcin Klajny, et al.
Energy (2024), pp. 133648-133648
Closed Access
Data-Driven Based Digital Twin for Operational Performance Optimization in the Cfb Boiler
Jing Xu, Zhipeng Cui, Suxia Ma, et al.
(2023)
Closed Access
Knowledge-Inspired Data-Driven Prediction of Overheating Risks in Flexible Thermal-Power Plants
Zhimin Wang, Qian Huang, Guanqing Liu, et al.
(2023)
Closed Access
A Novel Data Mining Framework to Investigate Causes of Boiler Failures in Waste-to-Energy Plants
Mats Tysklind, Dong Wang, Lili Jiang, et al.
(2023)
Open Access
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