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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:

Abnormality Detection and Failure Prediction Using Explainable Bayesian Deep Learning: Methodology and Case Study with Industrial Data
Ahmad Kamal Mohd Nor, Srinivasa Rao Pedapati, Masdi Muhammad, et al.
Mathematics (2022) Vol. 10, Iss. 4, pp. 554-554
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Deep attention SMOTE: Data augmentation with a learnable interpolation factor for imbalanced anomaly detection of gas turbines
Dan Liu, Shisheng Zhong, Lin Lin, et al.
Computers in Industry (2023) Vol. 151, pp. 103972-103972
Closed Access | Times Cited: 29
SHAP-based insights for aerospace PHM: Temporal feature importance, dependencies, robustness, and interaction analysis
Yazan Alomari, Mátyás Andó
Results in Engineering (2024) Vol. 21, pp. 101834-101834
Open Access | Times Cited: 14
Classifying COVID-19 based on amino acids encoding with machine learning algorithms
Walaa Alkady, Khaled El-Bahnasy, Víctor Leiva, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 224, pp. 104535-104535
Open Access | Times Cited: 28
An Efficient Attention-Based Strategy for Anomaly Detection in Surveillance Video
Sareer Ul Amin, Yongjun Kim, Irfan Sami, et al.
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 3, pp. 3939-3958
Open Access | Times Cited: 16
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 5
An IoT-fuzzy intelligent approach for holistic management of COVID-19 patients
Muhammad Zia Ur Rahman, Muhammad Azeem Akbar, Víctor Leiva, et al.
Heliyon (2023) Vol. 10, Iss. 1, pp. e22454-e22454
Open Access | Times Cited: 12
Ensemble technique to predict post-earthquake damage of buildings integrating tree-based models and tabular neural networks
Zhonghao Li, Hao Lei, Enlin Ma, et al.
Computers & Structures (2023) Vol. 287, pp. 107114-107114
Closed Access | Times Cited: 11
Enhancing Reliability Through Interpretability: A Comprehensive Survey of Interpretable Intelligent Fault Diagnosis in Rotating Machinery
Gang Chen, Junlin Yuan, Yiyue Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 103348-103379
Open Access | Times Cited: 3
A nascent design theory for explainable intelligent systems
Lukas-Valentin Herm, Theresa A. Steinbach, Jonas Wanner, et al.
Electronic Markets (2022) Vol. 32, Iss. 4, pp. 2185-2205
Open Access | Times Cited: 14
An optimized Belief-Rule-Based (BRB) approach to ensure the trustworthiness of interpreted time-series decisions
Sonia Farhana Nimmy, Omar Khadeer Hussain, Ripon K. Chakrabortty, et al.
Knowledge-Based Systems (2023) Vol. 271, pp. 110552-110552
Open Access | Times Cited: 8
Alarm-based explanations of process monitoring results from deep neural networks
Abhijit Bhakte, Mangesh Chakane, Rajagopalan Srinivasan
Computers & Chemical Engineering (2023) Vol. 179, pp. 108442-108442
Closed Access | Times Cited: 8
Prediction-Based Power Consumption Monitoring of Industrial Equipment Using Interpretable Data-Driven Models
Hui Xiao, Wenshan Hu, Hong Zhou, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 2, pp. 1312-1322
Closed Access | Times Cited: 6
A Survey on Explainable Anomaly Detection for Industrial Internet of Things
Zijie Huang, Yulei Wu
(2022), pp. 1-9
Closed Access | Times Cited: 10
RETRACTED ARTICLE: Robust adversarial uncertainty quantification for deep learning fine-tuning
Usman Ahmed, Jerry Chun‐Wei Lin
The Journal of Supercomputing (2023) Vol. 79, Iss. 10, pp. 11355-11386
Open Access | Times Cited: 4
An intelligent unsupervised anomaly detection in videos using inception capsule auto encoder
Harshadkumar S. Modi, Dhaval A. Parikh
The Imaging Science Journal (2023) Vol. 72, Iss. 2, pp. 267-284
Closed Access | Times Cited: 3
Quantum mechanics-based missing value estimation framework for industrial data
Eunseo Oh, Hyunsoo Lee
Expert Systems with Applications (2023) Vol. 236, pp. 121385-121385
Closed Access | Times Cited: 3
A Risk Evaluation Method Before Using a Black-box Model Considering Sensor Failure
Tangxiao Yuan, Weilin Xu, Kondo H. Adjallah, et al.
(2023), pp. 1230-1236
Closed Access | Times Cited: 3
DL-Based Anomaly Detection at the Physical-Layer of Cognitive Radio by Deep Support Vector Data Description
Ying Kang, Hao Wu, Zhihua Zhao, et al.
IEEE Transactions on Cognitive Communications and Networking (2022) Vol. 8, Iss. 4, pp. 1689-1705
Closed Access | Times Cited: 3
Paediatric Activity Anomaly Detection using CNN-XGBoost for Early Intervention and Patient Safety
Preethi Salian K.
Deleted Journal (2024) Vol. 20, Iss. 6s, pp. 2967-2981
Open Access
Action Recognition and Subsequent In-Depth Analysis for Improving the Time Efficiency of Bimanual Industrial Work
Ryota Takamido, Jun Ota
IEEE Access (2024) Vol. 12, pp. 79875-79891
Open Access
Encoding Time Series as Images for Anomaly Detection in Manufacturing Processes Using Convolutional Neural Networks and Grad-CAM
Youngjoo Hyun, Youngjun Yoo, Yoon-Seok Kim, et al.
International Journal of Precision Engineering and Manufacturing (2024)
Closed Access
Deep Anomaly Detection: A Linear One-Class SVM Approach for High-Dimensional and Large-Scale Data
K. Suresh, K. Jayasakthi Velmurugan, R.G. Vidhya, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112369-112369
Closed Access
Predicting the tide: a deep-learning approach for understanding the whitemouth croaker prices in northeast Brazil
Vinícius Fellype Cavalcanti de França, Lucas Vinícius Santos Silva, Luan Diego de Oliveira, et al.
Regional Studies in Marine Science (2024), pp. 103932-103932
Closed Access
Efficient Knowledge Transfer Strategies in Echo State Networks
Zhaozhao Zhang, Xiurong Zhao, Yingqin Zhu
(2024), pp. 391-395
Closed Access
Explainable multimodal learning for predictive maintenance of steam generators
Duc An Nguyen, Sagar Jose, Khanh T.P. Nguyen, et al.
PHM Society Asia-Pacific Conference (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 1
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