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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:

A novel framework for imputing large gaps of missing values from time series sensor data of marine machinery systems
Christian Velasco-Gallego, Iraklis Lazakis
Ships and Offshore Structures (2021) Vol. 17, Iss. 8, pp. 1802-1811
Open Access | Times Cited: 21

Showing 21 citing articles:

RADIS: A real-time anomaly detection intelligent system for fault diagnosis of marine machinery
Christian Velasco-Gallego, Iraklis Lazakis
Expert Systems with Applications (2022) Vol. 204, pp. 117634-117634
Open Access | Times Cited: 52
Systematic Review of Using Machine Learning in Imputing Missing Values
Mustafa Alabadla, Fatimah Sidi, Iskandar Ishak, et al.
IEEE Access (2022) Vol. 10, pp. 44483-44502
Open Access | Times Cited: 45
An Evaluative Study on IoT Ecosystem for Smart Predictive Maintenance (IoT-SPM) in Manufacturing: Multiview Requirements and Data Quality
Yuehua Liu, Wenjin Yu, Wenny Rahayu, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 13, pp. 11160-11184
Closed Access | Times Cited: 38
Recent advancements in data-driven methodologies for the fault diagnosis and prognosis of marine systems: A systematic review
Christian Velasco-Gallego, Beatriz Navas de Maya, Clara Matutano, et al.
Ocean Engineering (2023) Vol. 284, pp. 115277-115277
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
Hinge-FM2I: an approach using image inpainting for interpolating missing data in univariate time series
Saad Noufel, Nadir Maaroufi, Mehdi Najib, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
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
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
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
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
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
Meta-learning for vessel time series data imputation method recommendation
Tirana Noor Fatyanosa, Neni Alya Firdausanti, Putu Hangga Nan Prayoga, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 124016-124016
Open 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
Machine Learning Methods for Time Series Data Processing in Air Quality Detection
Anju Augustin, Cinu C. Kiliroor
Lecture notes in networks and systems (2024), pp. 13-22
Closed Access | Times Cited: 1
Time Series Data and Recent Imputation Techniques for Missing Data: A Review
Aznilinda Zainuddin, Muhammad Asraf Hairuddin, Ahmad Ihsan Mohd Yassin, et al.
(2022), pp. 346-350
Closed Access | Times Cited: 7
IoT Time-Series Missing Value Imputation - Comparison of Machine Learning Methods
Xudong Chen, Bin Sun, Shuhui Bi, et al.
(2024), pp. 406-411
Closed Access
Two stage iterative approach for addressing missing values in small-scale water quality data
Fangyu Wang, Xiaoying Cui, Yuying Gui, et al.
Marine Development (2024) Vol. 2, Iss. 1
Open Access
Analysis of Time Series Imaging Approaches for the Application of Fault Classification of Marine Systems
Christian Velasco-Gallego, Iraklis Lazakis
(2022), pp. 1353-1362
Open Access | Times Cited: 1
Analysis of Time Series Imaging Approaches for the Application of Fault Classification of Marine Systems
Christian Velasco-Gallego, Iraklis Lazakis
(2022), pp. 1353-1362
Open Access | Times Cited: 1
Comparing Data-Driven and Expert-Driven Techniques for Enhanced Imputation in Marine Sensor Data
Neni Alya Firdausanti, Tirana Noor Fatyanosa, Pedro Henrique González, et al.
(2023)
Closed Access
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