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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:

Fault detection of petrochemical process based on space-time compressed matrix and Naive Bayes
Zhenyu Deng, Te Han, Zhonghai Cheng, et al.
Process Safety and Environmental Protection (2022) Vol. 160, pp. 327-340
Closed Access | Times Cited: 25

Showing 25 citing articles:

Fault detection and diagnosis using Bayesian network model combining mechanism correlation analysis and process data: Application to unmonitored root cause variables type faults
Nan Liu, Minggang Hu, Ji Wang, et al.
Process Safety and Environmental Protection (2022) Vol. 164, pp. 15-29
Closed Access | Times Cited: 41
Critical review on data-driven approaches for learning from accidents: Comparative analysis and future research
Yi Niu, Yunxiao Fan, Xing Ju
Safety Science (2023) Vol. 171, pp. 106381-106381
Closed Access | Times Cited: 17
Semi-supervised process monitoring based on self-training PCA model
Junhua Zheng, Lingjian Ye, Zhiqiang Ge
Process Safety and Environmental Protection (2024) Vol. 187, pp. 1311-1321
Closed Access | Times Cited: 4
Dual adversarial and contrastive network for single-source domain generalization in fault diagnosis
Guangqiang Li, Mohamed Amine Atoui, Xiangshun Li
Advanced Engineering Informatics (2025) Vol. 65, pp. 103140-103140
Closed Access
Safety and reliability analysis of the solid propellant casting molding process based on FFTA and PSO-BPNN
Yubo Bi, Shilu Wang, Changshuai Zhang, et al.
Process Safety and Environmental Protection (2022) Vol. 164, pp. 528-538
Closed Access | Times Cited: 19
Fault Diagnosis of the Dynamic Chemical Process Based on the Optimized CNN-LSTM Network
Honghua Chen, Jian Cen, Zhuohong Yang, et al.
ACS Omega (2022) Vol. 7, Iss. 38, pp. 34389-34400
Open Access | Times Cited: 17
A machine learning and data analytics approach for predicting evacuation and identifying contributing factors during hazardous materials incidents on railways
Hadiseh Ebrahimi, Fereshteh Sattari, Lianne Lefsrud, et al.
Safety Science (2023) Vol. 164, pp. 106180-106180
Closed Access | Times Cited: 9
A whole-building data-driven fault detection and diagnosis approach for public buildings in hot climate regions
Ashraf Alghanmi, Akilu Yunusa‐Kaltungo
Energy and Built Environment (2023) Vol. 5, Iss. 6, pp. 911-932
Open Access | Times Cited: 9
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
Opportunities and threats to process safety in digitalized process systems—An overview
Hans J. Pasman, Hao Sun, Ming Yang, et al.
Methods in chemical process safety (2022), pp. 1-23
Open Access | Times Cited: 10
An adaptive method to update alarm deadbands for non-stationary process variables
Poku Gyasi, Jiandong Wang, Fan Yang, et al.
Process Safety and Environmental Protection (2023) Vol. 179, pp. 493-502
Closed Access | Times Cited: 5
Intelligence-led accident prevention and its application in petrochemical enterprises
Bing Wang, Yuanjie Wang, Fangting Xu, et al.
Process Safety and Environmental Protection (2024) Vol. 184, pp. 690-702
Closed Access | Times Cited: 1
Machine Learning and Process Systems Engineering for Sustainable Chemical Processes- A Short Review
Ana I. Torres, Jimena Ferreira, Martín Pedemonte
Current Opinion in Green and Sustainable Chemistry (2024), pp. 100982-100982
Open Access | Times Cited: 1
Fault monitoring for chemical processes using neighborhood embedding discriminative analysis
Chen Yang, Chudong Tong, Ting Lan
Process Safety and Environmental Protection (2022) Vol. 164, pp. 109-118
Closed Access | Times Cited: 7
A novel pattern classification integrated GLPP with improved AROMF for fault diagnosis
Yuan Xu, Xue Jiang, Wei Ke, et al.
Process Safety and Environmental Protection (2023) Vol. 171, pp. 299-311
Closed Access | Times Cited: 4
Safety and risk analysis in digitalized process operations
Xinhong Li, Rouzbeh Abbassi, Huixing Meng
Process Safety and Environmental Protection (2022) Vol. 166, pp. 212-213
Closed Access | Times Cited: 4
Incipient Fault Detection in a Hydraulic System Using Canonical Variable Analysis Combined with Adaptive Kernel Density Estimation
Jinxin Wang, Shenglei Zhao, Enyuan Wang, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8096-8096
Open Access | Times Cited: 2
Comparing Support Vector Machine and Naïve Bayes Methods with A Selection of Fast Correlation Based Filter Features in Detecting Parkinson's Disease
Yuniar Farida, Nurissaidah Ulinnuha, Silvia Kartika Sari, et al.
Lontar Komputer Jurnal Ilmiah Teknologi Informasi (2023) Vol. 14, Iss. 2, pp. 80-80
Open Access | Times Cited: 2
Fault Identification of UHVDC Transmission Based on DF-AD and Ensemble Learning
Qingsheng Zhao, Xinyu Yang, Xiaoqing Han, et al.
International Transactions on Electrical Energy Systems (2024) Vol. 2024, pp. 1-16
Open Access
A Knowledge Graph-Based Failure Information Fusion Method for Enhancing Reliability in Sustainable Systems
Yangqianhui Zhang, Huayong Yang, Dong Han
Sustainability (2024) Vol. 16, Iss. 23, pp. 10651-10651
Open Access
Gaussian process flow fusion physical model for fatigue evaluation of petrochemical equipment considering residual analysis
Aijun Yin, Zhendong Long, Tianyou Liang
Process Safety and Environmental Protection (2023) Vol. 174, pp. 1016-1022
Closed Access | Times Cited: 1
Transformers Faults Prediction Using Machine Learning Approach
Hanane Hadiki, Fouad Slaoui Hasnaoui, Georges Semaan
(2023), pp. 30-35
Closed Access | Times Cited: 1
Fully Parallel Proposal of Naive Bayes on FPGA
Wysterlânya K. P. Barros, Matheus T. Barbosa, Leonardo A. Dias, et al.
Electronics (2022) Vol. 11, Iss. 16, pp. 2565-2565
Open Access | Times Cited: 2
Multi-Scale Process Monitoring Based on Time-Frequency Analysis and Feature Fusion
C. Ji, Tingting Tao, Jingde Wang, et al.
Frontiers in Chemical Engineering (2022) Vol. 4
Open Access | Times Cited: 1
Research on State Evaluation of Petrochemical Plants Based on Improved TOPSIS Method and Combined Weight
Lin Yang, Yuan Zhuang, Chengdong Gou, et al.
Processes (2023) Vol. 11, Iss. 6, pp. 1799-1799
Open Access
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