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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:

Investigating an SVM-driven, one-class approach to estimating ship systems condition
Iraklis Lazakis, Christos Gkerekos, Γεράσιμος Θεοτοκάτος
Ships and Offshore Structures (2018) Vol. 14, Iss. 5, pp. 432-441
Open Access | Times Cited: 55

Showing 26-50 of 55 citing articles:

A Framework to Assure the Trustworthiness of Physical Model-Based Digital Twins for Marine Engines
Jaehan Jeon, Γεράσιμος Θεοτοκάτος
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 4, pp. 595-595
Open Access | Times Cited: 2
Fault Diagnosis of Maritime Equipment Using an Intelligent Framework
L.F. Mendonça, João M. C. Sousa, Susana M. Vieira
(2024)
Open Access | Times Cited: 2
Engine Malfunctioning Conditions Identification through Instantaneous Crankshaft Torque Measurement Analysis
Konstantinos-Marios Tsitsilonis, Γεράσιμος Θεοτοκάτος
Applied Sciences (2021) Vol. 11, Iss. 8, pp. 3522-3522
Open Access | Times Cited: 16
Ship Diesel Engine Fault Diagnosis Using Data Science and Machine Learning
Michał Pająk, Marcin Kluczyk, Łukasz Muślewski, et al.
Electronics (2023) Vol. 12, Iss. 18, pp. 3860-3860
Open Access | Times Cited: 6
A novel method for estimating missing values in ship principal data
Young-Rong Kim, Sverre Steen, Helene Muri
Ocean Engineering (2022) Vol. 251, pp. 110979-110979
Open Access | Times Cited: 10
A Novel Fault Diagnosis Method for Marine Blower with Vibration Signals
Guohua Yan, Yihuai Hu, Jiawei Jiang
Polish Maritime Research (2022) Vol. 29, Iss. 2, pp. 77-86
Open Access | Times Cited: 10
Hybrid feature adaptive fusion network for multivariate time series classification with application in AUV fault detection
Shaoxuan Xia, Xiaofeng Zhou, Haibo Shi, et al.
Ships and Offshore Structures (2023) Vol. 19, Iss. 6, pp. 807-819
Closed Access | Times Cited: 4
A Novel Time–Frequency Feature Fusion Approach for Robust Fault Detection in a Marine Main Engine
Hong Je-Gal, Seung‐Jin Lee, Jeong-Hyun Yoon, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 8, pp. 1577-1577
Open Access | Times Cited: 4
Systems Reliability and Data Driven Analysis for Marine Machinery Maintenance Planning and Decision Making
Abdullahi Abdulkarim Daya, Iraklis Lazakis
Machines (2024) Vol. 12, Iss. 5, pp. 294-294
Open Access | Times Cited: 1
Condition Monitoring and Fault Diagnosis of a Marine Diesel Engine with Machine Learning Techniques
Gazi Koçak, Veysel GÖKÇEK, Yakup Genç
Pomorstvo (2023) Vol. 37, Iss. 1, pp. 32-46
Open Access | Times Cited: 4
Decay detection of a marine gas turbine with contaminated data based on isolation forest approach
Yanghui Tan, Chunyang Niu, Hui Tian, et al.
Ships and Offshore Structures (2020) Vol. 16, Iss. 5, pp. 546-556
Closed Access | Times Cited: 9
Optimized SVM-Driven Multi-Class Approach by Improved ABC to Estimating Ship Systems State
Hui Cao, Jundong Zhang, Xu Cao, et al.
IEEE Access (2020) Vol. 8, pp. 206719-206733
Open Access | Times Cited: 7
SOPRENE: Assessment of the Spanish Armada’s Predictive Maintenance Tool for Naval Assets
David F. Barrero, Óscar Fontenla-Romero, Francisco López, et al.
Applied Sciences (2021) Vol. 11, Iss. 16, pp. 7322-7322
Open Access | Times Cited: 6
Prediction of Emission Characteristics of Generator Engine with Selective Catalytic Reduction Using Artificial Intelligence
Min-Ho Park, Chang-Min Lee, Antony John Nyongesa, et al.
Journal of Marine Science and Engineering (2022) Vol. 10, Iss. 8, pp. 1118-1118
Open Access | Times Cited: 4
An Innovative Machine Learning System for Real Time Condition Monitoring of Ship Machinery
Stylianos Oikonomou, Iraklis Lazakis, George Papadakis
Lecture notes in civil engineering (2020), pp. 753-768
Closed Access | Times Cited: 4
Design of Visual Communication Effect Evaluation Method of Artworks Based on Machine Learning
Hang Li, Ran Liu, Lu Wang, et al.
Mobile Information Systems (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 3
Fault Analysis of Ship Machinery Using Machine Learning Techniques
Funda Kaya İnceişçi, Ayça Ak
The International Journal of Maritime Engineering (2022) Vol. 164, Iss. 1
Open Access | Times Cited: 3
Intelligent fault diagnosis of marine equipments
Luís Mendonça, Susana M. Vieira, João M. C. Sousa
(2024)
Open Access
Fault Diagnosis of Maritime Equipment Using an Intelligent Fuzzy Framework
L.F. Mendonça, João M. C. Sousa, Susana M. Vieira
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 10, pp. 1737-1737
Open Access
Data-Driven Vessel Operational Profile Based on t-SNE and Hierarchical Clustering
Anna Swider, Yi Wang, Eilif Pedersen
(2018), pp. 1-7
Closed Access | Times Cited: 3
Emerging IoT Applications and Architectures for Smart Maritime Container Terminals
Sheraz Aslam, Herodotos Herodotou, Eduardo Garro, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1
One Class Classification Based Anomaly Detection for Marine Engines
Edward Smart, Neil Grice, Hongjie Ma, et al.
Studies in computational intelligence (2020), pp. 223-245
Closed Access | Times Cited: 3
A Practical Approach to Detect Faults of Marine Diesel Engine
Zhengyang Qi, Yunsong Qi, Guangpeng Hu
Journal of Computer and Communications (2020) Vol. 08, Iss. 08, pp. 12-21
Open Access | Times Cited: 3
Data-Driven Approaches for Diagnosis of Incipient Faults in Cutting Arms of the Roadheader
Qiang Liu, Songyong Liu, Qianjin Dai, et al.
Shock and Vibration (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 3
Towards a Practical, Generally-Applicable Condition-Based Maintenance CBM System for Mud Pumps
Dongyoung Yoon, Sercan Gul, Pradeepkumar Ashok, et al.
IADC/SPE International Drilling Conference and Exhibition (2022)
Closed Access | Times Cited: 2

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