OpenAlex Citation Counts

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:

Shipping market time series forecasting via an Ensemble Deep Dual-Projection Echo State Network
Xuefei Song, Zhong Shuo Chen
Computers & Electrical Engineering (2024) Vol. 117, pp. 109218-109218
Closed Access | Times Cited: 6

Showing 6 citing articles:

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

From global to local: A lightweight CNN approach for long-term time series forecasting
Site Mo, Chengteng Yang, Yipeng Mo, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110192-110192
Closed Access

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

Neural network developments: A detailed survey from static to dynamic models
Preeti Raj Verma, Navneet Pratap Singh, Deepika Pantola, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109710-109710
Closed Access

Ensemble deep learning techniques for time series analysis: a comprehensive review, applications, open issues, challenges, and future directions
Mohd Sakib, Suhel Mustajab, Mahfooz Alam
Cluster Computing (2024) Vol. 28, Iss. 1
Closed Access

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Requested Article:

Showing 6 citing articles:

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