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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:

Monthly ship price forecasting based on multivariate variational mode decomposition
Zicheng Wang, Liren Chen, Huayou Chen, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106698-106698
Closed Access | Times Cited: 13

Showing 13 citing articles:

Forecasting bitcoin: Decomposition aided long short-term memory based time series modeling and its explanation with Shapley values
Vule Mizdraković, Maja Kljajić, Miodrag Živković, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112026-112026
Open Access | Times Cited: 14
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
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
A short-term power load forecasting system based on data decomposition, deep learning and weighted linear error correction with feedback mechanism
Zhaochen Dong, Zhirui Tian, Shuang Lv
Applied Soft Computing (2024) Vol. 162, pp. 111863-111863
Closed Access | Times Cited: 5
Wave energy forecasting: A state-of-the-art survey and a comprehensive evaluation
Ruobin Gao, Xiaocai Zhang, Maohan Liang, et al.
Applied Soft Computing (2025) Vol. 170, pp. 112652-112652
Closed Access
Interval price prediction of livestock product based on fuzzy mathematics and improved LSTM
Weimin Ma, Lingling Peng, Chen Hu, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0318823-e0318823
Open Access
A multi-time-scale multi-step prediction method for gas utilization rate in a BF based on just-in-time learning
Guoyu Zhao, Jianqi An, Yunpeng Guo, et al.
Control Engineering Practice (2024) Vol. 147, pp. 105940-105940
Closed Access | Times Cited: 3
MFTM-Informer: A multi-step prediction model based on multivariate fuzzy trend matching and Informer
Lu‐Tao Zhao, Yue Li, Xue-Hui Chen, et al.
Information Sciences (2024) Vol. 681, pp. 121268-121268
Closed Access | Times Cited: 3
Research on information leakage in time series prediction based on empirical mode decomposition
Xinyi Yang, Jingyi Li, Xuchu Jiang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
An Empirical Mode Decomposition-Based Hybrid Model for Sub-Hourly Load Forecasting
Chuang Yin, Nan Wei, Jinghang Wu, et al.
Energies (2024) Vol. 17, Iss. 2, pp. 307-307
Open Access | Times Cited: 1
A Robust Multi-Model Framework for Groundwater Level Prediction: The BFSA-MVMD-GRU-RVM Model
Akram Seifi, Sharareh Pourebrahim, Mohammad Ehteram, et al.
Results in Engineering (2024), pp. 103250-103250
Open Access | Times Cited: 1
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
On predicting ocean freight rates: a novel hybrid model of combined error evaluation and reinforcement learning
Hongyue Guo, Haibo Kuang, Cong Sui, et al.
Maritime Economics & Logistics (2024)
Closed Access
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