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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 51-75 of 87 citing articles:

Health assessment of marine gas turbine propulsion system under cross-working conditions based on transfer learning
Congao Tan, Shijie Shi
(2024), pp. 67-67
Closed Access | Times Cited: 1
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
Optimizing Cruise Ship Speed Incorporating Weather and Hotel Load Factors
Arash Marashian, Axel Waris, Abolhassan Razminia, et al.
2022 European Control Conference (ECC) (2024), pp. 1642-1647
Closed Access | Times Cited: 1
Review on deep learning classifiers for faults diagnosis of rotating industrial machinery
Ameer Ali Shaalan, Wafa Mefteh, Ali Frihida
Service Oriented Computing and Applications (2024) Vol. 18, Iss. 4, pp. 361-379
Closed Access | Times Cited: 1
A hybrid predictive maintenance approach for ship machinery systems: a case of main engine bearings
Çağlar Karatuğ, Bulut Ozan Ceylan, Yasin Arslanoğlu
Journal of Marine Engineering & Technology (2024), pp. 1-10
Closed Access | Times Cited: 1
Research on Intelligent Navigation Technology: Intelligent Guidance and Path-Following Control of USVs
Xiaoyong Shang, Guoqing Zhang, Hongguang Lyu, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 9, pp. 1548-1548
Open Access | Times Cited: 1
Enhancing resilience in marine propulsion systems by adopting machine learning technology for predicting failures and prioritising maintenance activities
Mohsen Elmdoost-gashti, Mahmood Shafiee, Ali Bozorgi-Amiri
Journal of Marine Engineering & Technology (2023) Vol. 23, Iss. 1, pp. 18-32
Open Access | Times Cited: 4
A journal bearing performance prediction method utilizing a machine learning technique
Georgios N. Rossopoulos, Christos I. Papadopoulos
Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology (2021) Vol. 236, Iss. 10, pp. 1993-2003
Closed Access | Times Cited: 9
Data-driven condition monitoring of two-stroke marine diesel engine piston rings with machine learning
Ioannis G. Asimakopoulos, Luis David Avendaño-Valencia, Marie Lützen, et al.
Ships and Offshore Structures (2023) Vol. 19, Iss. 9, pp. 1241-1253
Open Access | Times Cited: 3
Use of Genetic Programming for the Estimation of CODLAG Propulsion System Parameters
Nikola Anđelić, Sandi Baressi Šegota, Ivan Lorencin, et al.
Journal of Marine Science and Engineering (2021) Vol. 9, Iss. 6, pp. 612-612
Open Access | Times Cited: 8
Component Criticality Analysis for Improved Ship Machinery Reliability
Abdullahi Abdulkarim Daya, Iraklis Lazakis
(2023)
Open Access | Times Cited: 2
Modelling and Operation of a Hybrid LNG Propulsion Tugboat
Sharul Baggio Roslan, Dimitrios Konovessis, Joo Hock Ang, et al.
(2023)
Open Access | Times Cited: 2
Federated Learning-Aided Prognostics in the Shipping 4.0: Principles, Workflow, and Use Cases
Angelos Angelopoulos, Anastasios Giannopoulos, Νικόλαος Νομικός, et al.
(2023)
Open Access | Times Cited: 2
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
Simulation of LNG-Battery hybrid tugboat under the influence of environmental loads and manoeuvre
Sharul Baggio Roslan, Dimitrios Konovessis, Joo Hock Ang, et al.
IMDC. (2024)
Open Access
A hybrid framework of first-principles model and machine learning for optimizing control parameters in chemical processes
Wonjun Noh, Sihwan Park, Sojung Kim, et al.
Journal of Industrial and Engineering Chemistry (2024)
Closed Access
Anomaly Detection and Breakdown Diagnosis for Condition Monitoring of Marine Engines
Nhu Khue Vuong, Sateesh Babu Giduthuri, Gen Liang Lim, et al.
(2024), pp. 200-205
Closed Access
Fault Detection in Electrical Grids: Harnessing Machine Learning for Enhanced Reliability
William Jiang, Alfred Renaud, Guillermo Goldzstein
Journal of Student Research (2024) Vol. 13, Iss. 1
Open Access
Development of a Hierarchical Clustering Method for Anomaly Identification and Labelling of Marine Machinery Data
Christian Velasco-Gallego, Iraklis Lazakis, Nieves Mateo
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 10, pp. 1792-1792
Open Access
A Data-driven Approach for Enhanced On-Board Fault Diagnosis to Support Euro 7 Standard Implementation
Stella Canè, Lorenzo Brunelli, Volker Müller, et al.
SAE technical papers on CD-ROM/SAE technical paper series (2024)
Closed Access
Sensor Fault Diagnosis in Autonomous Ships
Tahiyatul Asfihani, Fadia Lutfiani, Augie Widyotriatmo, et al.
2022 European Control Conference (ECC) (2024), pp. 13-18
Closed Access
Fault Detection Method for Closed-Loop Control Loop of Water Jet Propulsion Device Based on Convolutional Autoencoder and Support Vector Data Description
Zhaoyang Li, Yang Cheng, Gangqiang Li, et al.
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2024), pp. 25-30
Closed Access
Optimized Fault Classification in Electric Vehicle Drive Motors Using Advanced Machine Learning and Data Transformation Techniques
S. Thirunavukkarasu, K. Karthick, S. Aruna, et al.
Processes (2024) Vol. 12, Iss. 12, pp. 2648-2648
Open Access
A Novel Multi–Scale One–Dimensional Convolutional Neural Network for Intelligent Fault Diagnosis of Centrifugal Pumps
Yunhan Geng, Shaojuan Su, Tianxiang Zhang, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 12, pp. 2278-2278
Open Access | Times Cited: 1
Component Criticality Analysis for Improved Ship Machinery Reliability
Abdullahi Abdulkarim Daya, Iraklis Lazakis
Machines (2023) Vol. 11, Iss. 7, pp. 737-737
Open Access | Times Cited: 1

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