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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:

Copper price forecasted by hybrid neural network with Bayesian Optimization and wavelet transform
Kailei Liu, Jinhua Cheng, Jiahui Yi
Resources Policy (2021) Vol. 75, pp. 102520-102520
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Deep learning modelling techniques: current progress, applications, advantages, and challenges
Shams Forruque Ahmed, Md. Sakib Bin Alam, Maruf Hassan, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 13521-13617
Open Access | Times Cited: 288
Medium- to long-term nickel price forecasting using LSTM and GRU networks
Ali Can Özdemir, Kurtuluş Buluş, Kasım Zor
Resources Policy (2022) Vol. 78, pp. 102906-102906
Closed Access | Times Cited: 52
Data-driven joint multiobjective prediction and optimization for tunnel-induced adjacent bridge pier displacement: A case study in China
Hongyu Chen, Jun Liu, Yawei Qin, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109616-109616
Closed Access | Times Cited: 1
A decomposition ensemble based deep learning approach for crude oil price forecasting
He Jiang, Weiqiang Hu, Ling Xiao, et al.
Resources Policy (2022) Vol. 78, pp. 102855-102855
Closed Access | Times Cited: 30
Identification of Near Geographical Origin of Wolfberries by a Combination of Hyperspectral Imaging and Multi-Task Residual Fully Convolutional Network
Jiarui Cui, Kenken Li, Jie Hao, et al.
Foods (2022) Vol. 11, Iss. 13, pp. 1936-1936
Open Access | Times Cited: 27
Discrete Wavelet Transform-based feature engineering for stock market prediction
Satya Verma, Satya Prakash Sahu, Tirath Prasad Sahu
International Journal of Information Technology (2023) Vol. 15, Iss. 2, pp. 1179-1188
Closed Access | Times Cited: 15
An enhanced interval-valued decomposition integration model for stock price prediction based on comprehensive feature extraction and optimized deep learning
Jujie Wang, Jing Liu, Weiyi Jiang
Expert Systems with Applications (2023) Vol. 243, pp. 122891-122891
Closed Access | Times Cited: 15
Spatiotemporal wavelet-domain neuroimaging of chaotic EEG seizure signals in epilepsy diagnosis and prognosis with the use of graph convolutional LSTM networks
Njud S. Alharbi, Stelios Bekiros, Hadi Jahanshahi, et al.
Chaos Solitons & Fractals (2024) Vol. 181, pp. 114675-114675
Closed Access | Times Cited: 5
A novel copper price forecasting ensemble method using adversarial interpretive structural model and sparrow search algorithm
LI Nin, Jiaojiao Li, Qizhou Wang, et al.
Resources Policy (2024) Vol. 91, pp. 104892-104892
Closed Access | Times Cited: 5
Predictive Analysis of Linoleic Acid in Red Meat Employing Advanced Ensemble Models of Bayesian and CNN-Bi-LSTM Decision Layer Fusion Based Hyperspectral Imaging
Xiuwei Yan, Sijia Liu, Songlei Wang, et al.
Foods (2024) Vol. 13, Iss. 3, pp. 424-424
Open Access | Times Cited: 4
A multiple feature fusion-based intelligent optimization ensemble model for carbon price forecasting
Jujie Wang, Jian Guo Dong, Xin Zhang, et al.
Process Safety and Environmental Protection (2024) Vol. 187, pp. 1558-1575
Closed Access | Times Cited: 4
Financial Time Series Forecasting: A Comprehensive Review of Signal Processing and Optimization-Driven Intelligent Models
Matoori Praveen, Satish Dekka, Sai Dai, et al.
Computational Economics (2025)
Closed Access
Application of a hybrid model based on the Prophet model, ICEEMDAN and multi-model optimization error correction in metal price prediction
Yu-ting Huang, Yulong Bai, YU Qing-he, et al.
Resources Policy (2022) Vol. 79, pp. 102969-102969
Closed Access | Times Cited: 21
Forecasting on metal resource spot settlement price: New evidence from the machine learning model
Tao Shi, Chongyang Li, Wei Zhang, et al.
Resources Policy (2023) Vol. 81, pp. 103360-103360
Closed Access | Times Cited: 9
Reliable novel hybrid extreme gradient boosting for forecasting copper prices using meta-heuristic algorithms: A thirty-year analysis
Zohre Nabavi, Mohammad Mirzehi, Hesam Dehghani
Resources Policy (2024) Vol. 90, pp. 104784-104784
Closed Access | Times Cited: 3
A novel hybrid forecasting model with feature selection and deep learning for wind speed research
Xuejun Chen, Ying Wang, Hai‐Tao Zhang, et al.
Journal of Forecasting (2024) Vol. 43, Iss. 5, pp. 1682-1705
Closed Access | Times Cited: 3
Short-Term Photovoltaic Power Forecasting Based on Historical Information and Deep Learning Methods
Xianchao Guo, Yuchang Mo, Ke Yan
Sensors (2022) Vol. 22, Iss. 24, pp. 9630-9630
Open Access | Times Cited: 14
A novel three-stage hybrid learning paradigm based on a multi-decomposition strategy, optimized relevance vector machine, and error correction for multi-step forecasting of precious metal prices
Jianguo Zhou, Zhongtian Xu
Resources Policy (2022) Vol. 80, pp. 103148-103148
Closed Access | Times Cited: 12
A Modified PINN Approach for Identifiable Compartmental Models in Epidemiology with Application to COVID-19
Haoran Hu, Connor M. Kennedy, P. G. Kevrekidis, et al.
Viruses (2022) Vol. 14, Iss. 11, pp. 2464-2464
Open Access | Times Cited: 10
Improving the Accuracy of Forecasting the TSA Daily Budgetary Fund Balance Based on Wavelet Packet Transforms
Alan K. Karaev, Oksana S. Gorlova, Marina L. Sedova, et al.
Journal of Open Innovation Technology Market and Complexity (2022) Vol. 8, Iss. 3, pp. 107-107
Open Access | Times Cited: 8
Wavelet decomposition-based multi-stage feature engineering and optimized ensemble classifier for stock market prediction
Satya Verma, Satya Prakash Sahu, Tirath Prasad Sahu
The Engineering Economist (2024) Vol. 69, Iss. 3, pp. 213-238
Closed Access | Times Cited: 1
Copper Price Forecasting Based on Improved Least Squares Support Vector Machine with Butterfly Optimization Algorithm
Jialu Ling, Ziyu Zhong, H. L. Wei
Computational Economics (2024)
Closed Access | Times Cited: 1
Forecasting Copper Prices Using Deep Learning: Implications for Energy Sector Economies
Reza Derakhshani, Amin GhasemiNejad, Naeeme Amani Zarin, et al.
Mathematics (2024) Vol. 12, Iss. 15, pp. 2316-2316
Open Access | Times Cited: 1
Predictive performance of denoising algorithms in S&P 500 and Bitcoin returns
Emrah Gülay, Omer Burak Akgun, Korkut Bekiroglu, et al.
Expert Systems with Applications (2024), pp. 125400-125400
Closed Access | Times Cited: 1
The role of news sentiment in salmon price prediction using deep learning
Christian‐Oliver Ewald, Yaoyu Li
Journal of commodity markets (2024) Vol. 36, pp. 100438-100438
Open Access | Times Cited: 1
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