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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:

Measurement-based relationships between container ship operating parameters and fuel consumption
Tomasz Cepowski, Andrzej Drozd
Applied Energy (2023) Vol. 347, pp. 121315-121315
Open Access | Times Cited: 19

Showing 19 citing articles:

Ship energy consumption prediction: Multi-model fusion methods and multi-dimensional performance evaluation
Zhihui Hu, Ailong Fan, Wengang Mao, et al.
Ocean Engineering (2025) Vol. 322, pp. 120538-120538
Closed Access | Times Cited: 1
Investigation of ship energy consumption based on neural network
Yaqing Shu, Benshuang yu, Wei Liu, et al.
Ocean & Coastal Management (2024) Vol. 254, pp. 107167-107167
Closed Access | Times Cited: 7
A novel method of fuel consumption prediction for wing-diesel hybrid ships based on high-dimensional feature selection and improved blending ensemble learning method
Tian Lan, Lianzhong Huang, Ranqi Ma, et al.
Ocean Engineering (2024) Vol. 307, pp. 118156-118156
Closed Access | Times Cited: 6
Ship fuel consumption prediction based on transfer learning: Models and applications
Xi Luo, Mingyang Zhang, Yi Han, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109769-109769
Closed Access | Times Cited: 5
Ship Global Traveling Path Optimization via a Novel Non-Dominated Sorting Genetic Algorithm
Shuling Zhao, Sishuo Zhao
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 3, pp. 485-485
Open Access | Times Cited: 4
A novel development of an unmanned surface vehicle directly powered by an air-cooled proton exchange membrane fuel cell stack
Xikai Tu, Bojin Yan, Zhengkai Tu, et al.
Applied Energy (2024) Vol. 374, pp. 124002-124002
Closed Access | Times Cited: 4
Decarbonizing the inland container fleet with carbon cap-and-trade scheme
Zhijia Tan, Shuai Shao, Di Zhang, et al.
Applied Energy (2024) Vol. 376, pp. 124251-124251
Closed Access | Times Cited: 4
Carbon intensity indicator (CII) compliance: Applications of ship speed optimization on each level using measurement data
Duowen Yan, Chen Chen, Weidong Gan, et al.
Marine Pollution Bulletin (2025) Vol. 212, pp. 117593-117593
Closed Access
Maritime decarbonization through machine learning: A critical systematic review of fuel and power prediction models
Son Nguyen, Matthieu Gadel, K. Wang, et al.
Cleaner Logistics and Supply Chain (2025), pp. 100210-100210
Open Access
Ship energy efficiency optimization considering the influences of multiple complex navigational environments: A review
Kai Wang, Yapeng Wang, Hongzhi Liang, et al.
Marine Pollution Bulletin (2025) Vol. 216, pp. 117976-117976
Closed Access
Emissions estimation of offshore fishing vessel: Evidence from real-time voyage data
Kazi Mohiuddin, Shek Ahmed, Mohammad Shamsu Uddin, et al.
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 3
Reducing CO2 Emissions through the Strategic Optimization of a Bulk Carrier Fleet for Loading and Transporting Polymetallic Nodules from the Clarion-Clipperton Zone
Tomasz Cepowski, Paweł Kacprzak
Energies (2024) Vol. 17, Iss. 14, pp. 3383-3383
Open Access | Times Cited: 2
The Impact of Container Ship Trim on Fuel Consumption and Navigation Safety
Mario Musulin, Luka Mihanović, Katarina Balić, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 9, pp. 1658-1658
Open Access | Times Cited: 1
A robust method of dual adaptive prediction for ship fuel consumption based on polymorphic particle swarm algorithm driven
Tian Lan, Lianzhong Huang, Ranqi Ma, et al.
Applied Energy (2024) Vol. 379, pp. 124911-124911
Closed Access | Times Cited: 1
Investigation of Ship Energy Consumption Based on Neural Network
Yaqing Shu, Benshuang yu, Wei Liu, et al.
(2024)
Closed Access
Artificial Neural Network Sets for Predicting Added Wave Resistance Using Non-Dimensional Ship Parameters
Tomasz Cepowski
(2024)
Closed Access
Data-driven ship typical operational conditions: a benchmark tool for assessing ship emissions
Ailong Fan, Xuelong Fan, Mingyang Zhang, et al.
Journal of Cleaner Production (2024), pp. 144252-144252
Closed Access
Characterization of Epoxy Adhesive for Marine Applications
Francisco J. Rodríguez-Dopico, Ana Álvarez-García, Javier Tarrío‐Saavedra
Oceans (2024) Vol. 5, Iss. 4, pp. 906-922
Open Access
Data-driven framework with theoretical modelling to evaluate fuel savings through air lubrication system
Daehyuk Kim, Shin Hyung Rhee
Ocean Engineering (2024) Vol. 316, pp. 119920-119920
Closed Access
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