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:

Ship order book forecasting by an ensemble deep parsimonious random vector functional link network
R.C.H. Cheng, Ruobin Gao, Kum Fai Yuen
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108139-108139
Closed Access | Times Cited: 7

Showing 7 citing articles:

AISClean: AIS data-driven vessel trajectory reconstruction under uncertain conditions
Maohan Liang, Jianlong Su, Ryan Wen Liu, et al.
Ocean Engineering (2024) Vol. 306, pp. 117987-117987
Open Access | Times Cited: 17

Benchmarking feed-forward randomized neural networks for vessel trajectory prediction
R.C.H. Cheng, Maohan Liang, Huanhuan Li, et al.
Computers & Electrical Engineering (2024) Vol. 119, pp. 109499-109499
Closed Access | Times Cited: 5

Multiple unmanned surface vehicles pathfinding in dynamic environment
Y. Lin, Liang Du, Kum Fai Yuen
Applied Soft Computing (2025), pp. 112820-112820
Closed Access

A coupled framework for power load forecasting with Gaussian implicit spatio temporal block and attention mechanisms network
Dezhi Liu, Xuan Lin, Hanyang Liu, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110263-110263
Closed Access

Robust drought forecasting in Eastern Canada: Leveraging EMD-TVF and ensemble deep RVFL for SPEI index forecasting
Masoud Karbasi, Mumtaz Ali, Aitazaz A. Farooque, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124900-124900
Closed Access | Times Cited: 3

Advancements in Deep Learning Techniques for Time Series Forecasting in Maritime Applications: A Comprehensive Review
Meng Wang, Xinyan Guo, Yanling She, et al.
Information (2024) Vol. 15, Iss. 8, pp. 507-507
Open Access | Times Cited: 2

Enhancing financial time series forecasting in the shipping market: A hybrid approach with Light Gradient Boosting Machine
Xuefei Song, Zhong Shuo Chen
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108942-108942
Closed Access

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