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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:

Partial Cross Mapping Based on Sparse Variable Selection for Direct Fault Root Cause Diagnosis for Industrial Processes
Qingchao Jiang, Jiashi Jiang, Wenjing Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 5, pp. 6218-6230
Closed Access | Times Cited: 9

Showing 9 citing articles:

High-throughput analysis of hazards in novel food based on the density functional theory and multimodal deep learning
Lin Shi, Wei Jia, Rong Zhang, et al.
Food Chemistry (2024) Vol. 442, pp. 138468-138468
Closed Access | Times Cited: 11
Root cause analysis for process industry using causal knowledge map under large group environment
Weichao Yue, J.-C. Chai, Xiaoxue Wan, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102057-102057
Closed Access | Times Cited: 20
A Lightweight Group Transformer-Based Time Series Reduction Network for Edge Intelligence and Its Application in Industrial RUL Prediction
Lei Ren, Haiteng Wang, Tingyu Mo, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 2, pp. 3720-3729
Closed Access | Times Cited: 4
Causal similarity learning with multi-level predictive relation aggregation for grouped root cause diagnosis of industrial faults
Liang Zhao, Pengyu Song, Chunhui Zhao
Control Engineering Practice (2024) Vol. 154, pp. 106140-106140
Closed Access | Times Cited: 1
A Spatial–Temporal Variational Graph Attention Autoencoder Using Interactive Information for Fault Detection in Complex Industrial Processes
Mingjie Lv, Yonggang Li, Huiping Liang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 3, pp. 3062-3076
Closed Access | Times Cited: 4
Root cause diagnosis of plant-wide oscillations based on fuzzy kernel multivariate Granger causality
Jian-Guo Wang, Rui Chen, Jing-Ru Su, et al.
Journal of the Taiwan Institute of Chemical Engineers (2023) Vol. 149, pp. 104928-104928
Closed Access | Times Cited: 2
Traceability of abnormal energy consumption modes in grinding systems based on evolution analysis of causal network structure
Mingrui Zhu, Yangjian Ji, Nian Zhang
Advanced Engineering Informatics (2023) Vol. 57, pp. 102119-102119
Closed Access | Times Cited: 2
A Unified Framework Integrating Knowledge and Data for Collaborative Root Cause Identification
Jiefei Yu, Zicheng Cao, Siyi He, et al.
(2024), pp. 1-6
Closed Access
Data-driven root cause diagnosis of process disturbances by exploring causality change among variables
Jianguo Wang, Rui Chen, Xiang-Yun Ye, et al.
Journal of Process Control (2023) Vol. 129, pp. 103062-103062
Closed Access | Times Cited: 1
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