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:

Developing a data-driven hydraulic excavator fuel consumption prediction system based on deep learning
Haoju Song, Guiqin Li, Xihang Li, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102063-102063
Closed Access | Times Cited: 5

Showing 5 citing articles:

Data-driven hydraulic pressure prediction for typical excavators using a new deep learning SCSSA-LSTM method
Hao Feng, Hao Zhou, Donghui Cao, et al.
Expert Systems with Applications (2025), pp. 127078-127078
Closed Access

A novel data fusion based intelligent identification approach for working cycle stages of hydraulic excavators
Haoju Song, Guiqin Li, Xin Xiong, et al.
ISA Transactions (2024) Vol. 148, pp. 78-91
Closed Access | Times Cited: 3

A Study on the Parameters Matching of Dynamics System Electric Bulldozer
Congfeng Tian, Piqiang Tan, Wen-pu Wang, et al.
Lecture notes in mechanical engineering (2024), pp. 105-111
Open Access

A Machine-Learning Approach for the Assessment of Quantitative Changes in the Tractor Diesel-Engine Oil During Exploitation
Dorijan Radočaj, Ivan Plaščak, Mladen Jurišić
Poljoprivreda (2024) Vol. 30, Iss. 1, pp. 108-114
Open Access

A Review on Machine Learning for Sustainable Construction Equipment
Asmat Ullah Khan, Muhammad Afzal
Research Square (Research Square) (2023)
Open Access

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