Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Decision-making for the anomalies in IIoTs based on 1D convolutional neural networks and Dempster–Shafer theory (DS-1DCNN)
Tuğrul Çavdar, Nader Ebrahimpour, Muhammet Talha Kakız, et al.
The Journal of Supercomputing (2022) Vol. 79, Iss. 2, pp. 1683-1704
Closed Access | Times Cited: 14

Showing 14 citing articles:

A systematic review of data fusion techniques for optimized structural health monitoring
Sahar Hassani, Ulrike Dackermann, Mohsen Mousavi, et al.
Information Fusion (2023) Vol. 103, pp. 102136-102136
Open Access | Times Cited: 55
An efficient GAN-based predictive framework for multivariate time series anomaly prediction in cloud data centers
Sibo Qi, Juan Chen, Peng Chen, et al.
The Journal of Supercomputing (2023) Vol. 80, Iss. 1, pp. 1268-1293
Closed Access | Times Cited: 18
Applications of pre-trained CNN models and data fusion techniques in Unity3D for connected vehicles
Mojtaba Norouzi, Seyed Hossein Hosseini, Mohammad Khoshnevisan, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Cloud-based AIoT intelligent infrastructure for firefighting pump fault diagnosis-based hybrid CNN-GRU deep learning technique
Da-Thao Nguyen, Phuong Nguyen Thanh, Ming-Yuan Cho
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Closed Access
Hybrid Machine Learning-Based Fault-Tolerant Sensor Data Fusion and Anomaly Detection for Fire Risk Mitigation in IIoT Environment
Jayameena Desikan, Sushil Kumar Singh, A. Jayanthiladevi, et al.
Sensors (2025) Vol. 25, Iss. 7, pp. 2146-2146
Open Access
FootprintNet: a Siamese network method for biometric identification using footprints
Nadir İbrahimoğlu, Amjad Osmani, Ali Dalir Ghaffari, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 5
Open Access
Anomaly classification in industrial Internet of things: A review
Martha Rodríguez, Diana P. Tobón, Danny Múnera
Intelligent Systems with Applications (2023) Vol. 18, pp. 200232-200232
Open Access | Times Cited: 10
Graph-enhanced anomaly detection framework in multivariate time series using Graph Attention and Enhanced Generative Adversarial Networks
Yue He, Xiaoliang Chen, Duoqian Miao, et al.
Expert Systems with Applications (2025) Vol. 271, pp. 126667-126667
Closed Access
Data reconstruction leverages one-dimensional Convolutional Neural Networks (1DCNN) combined with Long Short-Term Memory (LSTM) networks for Structural Health Monitoring (SHM)
Tran Quang Minh, José C. Matos, Hélder S. Sousa, et al.
Measurement (2025), pp. 117810-117810
Open Access
An Intelligent Thermal Compensation System Using Edge Computing for Machine Tools
Endah Kristiani, Luyan Wang, Jung‐Chun Liu, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2531-2531
Open Access | Times Cited: 2
Sensor and Decision Fusion-Based Intrusion Detection and Mitigation Approach for Connected Autonomous Vehicles
Milad Moradi, Mojtaba Kordestani, Mahsa Jalali, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 13, pp. 20908-20919
Closed Access | Times Cited: 2
Uncertainty Management in Assessment of FMEA Expert Based on Negation Information and Belief Entropy
Lei Wu, Yongchuan Tang, L W Zhang, et al.
Entropy (2023) Vol. 25, Iss. 5, pp. 800-800
Open Access | Times Cited: 5
Sustainable Decision-Making Enhancement: Trust and Linguistic-Enhanced Conflict Measurement in Evidence Theory
Qiang Liu, Q. Liu, Minhuan Wang
Sustainability (2024) Vol. 16, Iss. 6, pp. 2288-2288
Open Access | Times Cited: 1
Enhancing multivariate time-series anomaly detection with positional encoding mechanisms in transformers
Abdul Amir Alıoghlı, Feyza Yıldırım Okay
The Journal of Supercomputing (2024) Vol. 81, Iss. 1
Closed Access
Application of machine learning methods for anomaly detection in internet advertising
Marko Živanović, Svetlana Štrbac-Savić, Златогор Минчев
Journal of Computer and Forensic Sciences (2023) Vol. 2, Iss. 1, pp. 53-61
Open Access | Times Cited: 1
Page 1

Scroll to top