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 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

Showing 6 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

Fair streaming feature selection
Zhangling Duan, Tianci Li, Zhaolong Ling, et al.
Neurocomputing (2025), pp. 129394-129394
Closed Access

An Adaptive Prediction Framework of Ship Fuel Consumption for Dynamic Maritime Energy Management
Gao Ya, Yanghui Tan, Dingyu Jiang, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 3, pp. 409-409
Open 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

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

A Novel Approach to Enhancing the Accuracy of Prediction in Ship Fuel Consumption
Tianrui Zhou, Jinggai Wang, Qinyou Hu, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 11, pp. 1954-1954
Open Access

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