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:

A comparative investigation of data-driven approaches based on one-class classifiers for condition monitoring of marine machinery system
Yanghui Tan, Hui Tian, Ruizheng Jiang, et al.
Ocean Engineering (2020) Vol. 201, pp. 107174-107174
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Marine Systems and Equipment Prognostics and Health Management: A Systematic Review from Health Condition Monitoring to Maintenance Strategy
Peng Zhang, Zeyu Gao, Lele Cao, et al.
Machines (2022) Vol. 10, Iss. 2, pp. 72-72
Open Access | Times Cited: 56
Development of condition-based maintenance strategy for fault diagnosis for ship engine systems
Çağlar Karatuğ, Yasin Arslanoğlu
Ocean Engineering (2022) Vol. 256, pp. 111515-111515
Closed Access | Times Cited: 56
Multi-label classification for simultaneous fault diagnosis of marine machinery: A comparative study
Yanghui Tan, Jundong Zhang, Hui Tian, et al.
Ocean Engineering (2021) Vol. 239, pp. 109723-109723
Closed Access | Times Cited: 55
A new method for fault detection of aero-engine based on isolation forest
Hongfei Wang, Wen Jiang, Xinyang Deng, et al.
Measurement (2021) Vol. 185, pp. 110064-110064
Closed Access | Times Cited: 44
A self-supervised contrastive learning framework with the nearest neighbors matching for the fault diagnosis of marine machinery
Ruihan Wang, Hui Chen, Cong Guan
Ocean Engineering (2023) Vol. 270, pp. 113437-113437
Closed Access | Times Cited: 21
A Review of Prognostic and Health Management (PHM) Methods and Limitations for Marine Diesel Engines: New Research Directions
Hla Gharib, György Kovács
Machines (2023) Vol. 11, Iss. 7, pp. 695-695
Open Access | Times Cited: 18
Review of maintenance strategies for ship machinery systems
Çağlar Karatuğ, Yasin Arslanoğlu, C. Guedes Soares
Journal of Marine Engineering & Technology (2023) Vol. 22, Iss. 5, pp. 233-247
Closed Access | Times Cited: 17
Design of a decision support system to achieve condition-based maintenance in ship machinery systems
Çağlar Karatuğ, Yasin Arslanoğlu, C. Guedes Soares
Ocean Engineering (2023) Vol. 281, pp. 114611-114611
Open Access | Times Cited: 16
A universal fault diagnosis framework for marine machinery based on domain adaptation
Yu Guo, Jundong Zhang, Bin Sun, et al.
Ocean Engineering (2024) Vol. 302, pp. 117729-117729
Closed Access | Times Cited: 5
Evaluation of just in time strategy regarding carbon intensity indicator
Çağlar Karatuğ
Journal of Marine Engineering & Technology (2025), pp. 1-11
Closed Access
Explainable Anomaly Detection Framework for Maritime Main Engine Sensor Data
Donghyun Kim, Gian Antariksa, Melia Putri Handayani, et al.
Sensors (2021) Vol. 21, Iss. 15, pp. 5200-5200
Open Access | Times Cited: 34
Subsystem selection for digital twin development: A case study on an unmanned underwater vehicle
Demetrious T. Kutzke, James B. Carter, Benjamin T. Hartman
Ocean Engineering (2021) Vol. 223, pp. 108629-108629
Closed Access | Times Cited: 33
A novel fault detection method for rotating machinery based on self-supervised contrastive representations
Zhe Yang, Yunwei Huang, Faisal Nazeer, et al.
Computers in Industry (2023) Vol. 147, pp. 103878-103878
Closed Access | Times Cited: 14
Mathematical Model for Providing Remote Monitoring of Hardware and Software Complex at the Stage of Integration Testing
Natalia Mamedova, Timofey Bolonin
WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS (2025) Vol. 22, pp. 258-271
Open Access
Intelligent real-time status identification for anti-roll tank via solid-liquid triboelectric nanogenerators
Xingang Xu, Hao Wu, Zhongjie Li, et al.
Ocean Engineering (2025) Vol. 327, pp. 120987-120987
Closed Access
Machine-Learning-Based Condition Assessment of Gas Turbines—A Review
Martí de Castro-Cros, Manel Velasco, Cecilio Ángulo
Energies (2021) Vol. 14, Iss. 24, pp. 8468-8468
Open Access | Times Cited: 29
DPGCN Model: A Novel Fault Diagnosis Method for Marine Diesel Engines Based on Imbalanced Datasets
Ruihan Wang, Hui Chen, Cong Guan
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-11
Closed Access | Times Cited: 21
Online parameter identification and real-time manoeuvring prediction for a water-jet USV based on weighted multi-innovation prediction error method integrated with dynamic window strategy
Zaopeng Dong, Baolin Wang, Fei Tan, et al.
Applied Ocean Research (2024) Vol. 153, pp. 104260-104260
Closed Access | Times Cited: 3
A real-time data-driven framework for the identification of steady states of marine machinery
Christian Velasco-Gallego, Iraklis Lazakis
Applied Ocean Research (2022) Vol. 121, pp. 103052-103052
Open Access | Times Cited: 17
A review of maritime equipment prognostics health management from a classification society perspective
Liang Qin, Knut Erik Knutsen, Erik Vanem, et al.
Ocean Engineering (2024) Vol. 301, pp. 117619-117619
Open Access | Times Cited: 3
Development of a time series imaging approach for fault classification of marine systems
Christian Velasco-Gallego, Iraklis Lazakis
Ocean Engineering (2022) Vol. 263, pp. 112297-112297
Open Access | Times Cited: 15
Determination of a maintenance strategy for machinery systems of autonomous ships
Çağlar Karatuğ, Yasin Arslanoğlu, C. Guedes Soares
Ocean Engineering (2022) Vol. 266, pp. 113013-113013
Open Access | Times Cited: 15
Fault diagnosis of marine machinery via an intelligent data-driven framework
Xingang Xu, Yan Lin, Chao Ye
Ocean Engineering (2023) Vol. 289, pp. 116302-116302
Closed Access | Times Cited: 7
Fault detection in the marine engine using a support vector data description method
Klaudia Wrzask, Jerzy Kowalski, Van Vang Le, et al.
Journal of Marine Engineering & Technology (2024) Vol. 23, Iss. 6, pp. 412-422
Closed Access | Times Cited: 2
Fusion of Multi-Layer Attention Mechanisms and CNN-LSTM for Fault Prediction in Marine Diesel Engines
Jiawen Sun, Hongxiang Ren, Yating Duan, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 6, pp. 990-990
Open Access | Times Cited: 2
Page 1 - Next Page

Scroll to top