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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:

Machine learning and data-driven fault detection for ship systems operations
Michail Cheliotis, Iraklis Lazakis, Γεράσιμος Θεοτοκάτος
Ocean Engineering (2020) Vol. 216, pp. 107968-107968
Open Access | Times Cited: 87

Showing 26-50 of 87 citing articles:

The application and development of digital twin in the marine domain
Zhen‐Zhong Hu, Yi Liu, Jianmin Zhang
(2025)
Closed Access
A health condition assessment method for marine diesel engine turbochargers using zero-dimensional engine model and machine learning
Bingquan Li, Yu Ding, Wuxue Ma -, et al.
Measurement (2025), pp. 117283-117283
Closed Access
Big Data Analytics and Machine Learning of Harbour Craft Vessels to Achieve Fuel Efficiency: A Review
Zhi Yung Tay, Januwar Hadi, Favian Chow, et al.
Journal of Marine Science and Engineering (2021) Vol. 9, Iss. 12, pp. 1351-1351
Open Access | Times Cited: 30
A critical review of artificial intelligence in mineral concentration
Allan Gomez-Flores, Sadia Ilyas, Graeme W. Heyes, et al.
Minerals Engineering (2022) Vol. 189, pp. 107884-107884
Closed Access | Times Cited: 21
A Deep Learning-Based Fault Warning Model for Exhaust Temperature Prediction and Fault Warning of Marine Diesel Engine
Zhenguo Ji, Huibing Gan, Ben Liu
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 8, pp. 1509-1509
Open Access | Times Cited: 12
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
Research on Fault Early Warning of Marine Diesel Engine Based on CNN-BiGRU
Ben Liu, Huibing Gan, Dong Chen, et al.
Journal of Marine Science and Engineering (2022) Vol. 11, Iss. 1, pp. 56-56
Open Access | Times Cited: 17
Mar-RUL: A remaining useful life prediction approach for fault prognostics of marine machinery
Christian Velasco-Gallego, Iraklis Lazakis
Applied Ocean Research (2023) Vol. 140, pp. 103735-103735
Open Access | Times Cited: 10
Computer Vision and Image Processing Approaches for Corrosion Detection
Ahmad Ali Imran Mohd Ali, Shahrizan Jamaludin, Md Mahadi Hasan Imran, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 10, pp. 1954-1954
Open Access | Times Cited: 10
A literature review and future research agenda on fault detection and diagnosis studies in marine machinery systems
Muhittin Orhan, Metin Çelik
Proceedings of the Institution of Mechanical Engineers Part M Journal of Engineering for the Maritime Environment (2023) Vol. 238, Iss. 1, pp. 3-21
Closed Access | Times Cited: 9
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
A two-stage collision avoidance path planning approach for inland ferries under dynamic channel crossing risk conditions
Xiaoli Yuan, Di Zhang, Jinfen Zhang, et al.
Ocean & Coastal Management (2023) Vol. 242, pp. 106692-106692
Closed Access | Times Cited: 8
Fault detection and control in integrated energy system using machine learning
Peng Wang, Parthasarathy Poovendran, Karthik Bala Manokaran
Sustainable Energy Technologies and Assessments (2021) Vol. 47, pp. 101366-101366
Closed Access | Times Cited: 19
Advanced data analytics for ship performance monitoring under localized operational conditions
Khanh Q. Bui, Lokukaluge P. Perera
Ocean Engineering (2021) Vol. 235, pp. 109392-109392
Open Access | Times Cited: 18
Research on fault prediction of marine diesel engine based on attention-LSTM
Yi Liu, Huibing Gan, Yujin Cong, et al.
Proceedings of the Institution of Mechanical Engineers Part M Journal of Engineering for the Maritime Environment (2022) Vol. 237, Iss. 2, pp. 508-519
Closed Access | Times Cited: 13
Application of Bayesian networks based on Sequential Monte Carlo simulation and physical model in fault diagnosis of horizontal three-phase separator system
Daqian Liu, Shangfei Song, Ting Huang, et al.
Ocean Engineering (2024) Vol. 306, pp. 118139-118139
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
Research on ship safety risk early warning model integrating transfer learning and multi-modal learning
Zhizheng Wu, Shengzheng Wang, He Xu, et al.
Applied Ocean Research (2024) Vol. 150, pp. 104139-104139
Closed Access | Times Cited: 2
A critical analysis of machine learning in ship, offshore, and oil & gas corrosion research, part I: Corrosion detection and classification
Muhammad Imran, Mohammad Ilyas Khan, Shahrizan Jamaludin, et al.
Ocean Engineering (2024) Vol. 313, pp. 119600-119600
Closed 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
Application of Deep Reinforcement Learning to Predict Shaft Deformation Considering Hull Deformation of Medium-Sized Oil/Chemical Tanker
Shin-Pyo Choi, Jae-Ung Lee, Jun-Bum Park
Journal of Marine Science and Engineering (2021) Vol. 9, Iss. 7, pp. 767-767
Open Access | Times Cited: 16
Integrated machine learning and probabilistic degradation approach for vessel electric motor prognostics
Jose Ignacio Aizpurua, Knut Erik Knutsen, Markus Heimdal, et al.
Ocean Engineering (2023) Vol. 275, pp. 114153-114153
Open Access | Times Cited: 6
Research on thermoeconomic fault diagnosis for marine low speed two stroke diesel engine
Nan Xu, Guolei Zhang, Longbin Yang, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 6, pp. 5393-5408
Open Access | Times Cited: 9
Dynamic Failure Analysis of Ship Energy Systems Using an Adaptive Machine Learning Formalism
Azubuike John Chuku, Sidum Adumene, Cyril U. Orji, et al.
Journal of Computational and Cognitive Engineering (2023) Vol. 2, Iss. 4, pp. 312-321
Open Access | Times Cited: 5
Rule-Based Control Studies of LNG–Battery Hybrid Tugboat
Sharul Baggio Roslan, Zhi Yung Tay, Dimitrios Konovessis, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 7, pp. 1307-1307
Open Access | Times Cited: 5

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