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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:

Novel control-aware fault detection approach for non-stationary processes via deep learning-based dynamic surrogate modeling
Meng Qi, Kyojin Jang, Chengtian Cui, et al.
Process Safety and Environmental Protection (2023) Vol. 172, pp. 379-394
Closed Access | Times Cited: 8

Showing 8 citing articles:

Efficient Online Controller Tuning for Omnidirectional Mobile Robots Using a Multivariate-Multitarget Polynomial Prediction Model and Evolutionary Optimization
Alam Gabriel Rojas-López, Miguel Gabriel Villarreal-Cervantes, Alejandro Rodríguez-Molina, et al.
Biomimetics (2025) Vol. 10, Iss. 2, pp. 114-114
Open Access
Operational control for the evolution of enthalpy in an SBR carrying out nitration of 4-chlorobenzotrifluoride and the thermal runway
Atanu Panda, P. Princes Sindhuja, V. Vijayan, et al.
Process Safety and Environmental Protection (2023) Vol. 197, pp. 774-799
Closed Access | Times Cited: 11
Variance-capturing forward-forward autoencoder (VFFAE): A forward learning neural network for fault detection and isolation of process data
Deepak Kumar, Umang Goswami, Hariprasad Kodamana, et al.
Process Safety and Environmental Protection (2023) Vol. 178, pp. 176-194
Closed Access | Times Cited: 8
Identification research of chemical process leakage based on deep learning and correlation-distance graph coding
Zijian Liu, Xuejing Li, Wenwen Cong, et al.
Process Safety and Environmental Protection (2024) Vol. 187, pp. 431-442
Closed Access | Times Cited: 2
Model-based sparse optimal control of the hydrogen sulfide synthesis process for acidic wastewater sulfidation
Minghui Liu, Hongqiu Zhu, Fengxue Zhang, et al.
Journal of Water Process Engineering (2024) Vol. 65, pp. 105836-105836
Closed Access | Times Cited: 2
Fault Detection and Isolation for Time-Varying Processes Using Neural-Based Principal Component Analysis
Pezhman Kazemi, Armin Masoumian, Philip A. Martin
Processes (2024) Vol. 12, Iss. 6, pp. 1218-1218
Open Access | Times Cited: 1
A novel fault diagnosis framework empowered by LSTM and attention: A case study on the Tennessee Eastman process
Shuaiyu Zhao, Yiling Duan, Nitin Roy, et al.
The Canadian Journal of Chemical Engineering (2024)
Closed Access | Times Cited: 1
Fault Detection and Identification in an Acid Gas Removal Unit Using Deep Autoencoders
Tan Kaiyun Kathlyn, Haslinda Zabiri, Chris Aldrich, et al.
ACS Omega (2023) Vol. 8, Iss. 22, pp. 19273-19286
Open Access | Times Cited: 3
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