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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:

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

Showing 1-25 of 52 citing articles:

Enhancing wind speed forecasting through synergy of machine learning, singular spectral analysis, and variational mode decomposition
Sinvaldo Rodrigues Moreno, Laio Oriel Seman, Stéfano Frizzo Stefenon, et al.
Energy (2024) Vol. 292, pp. 130493-130493
Closed Access | Times Cited: 46
Bubble behaviors in nickel price: What roles do geopolitical risk and speculation play?
Xiaoqing Wang, Tong Wu, Huaming Zhong, et al.
Resources Policy (2023) Vol. 83, pp. 103707-103707
Closed Access | Times Cited: 29
Multi-decomposition in deep learning models for futures price prediction
Yuping Song, Jiefei Huang, Yang Xu, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123171-123171
Closed Access | Times Cited: 8
A comprehensive benchmark of machine learning-based algorithms for medium-term electric vehicle charging demand prediction
Ömer Can Tolun, Kasım Zor, Önder Tutsoy
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Open Access | Times Cited: 1
The power of mineral: Shock of the global supply chain from resource nationalism
Shiquan Dou, Yongguang Zhu, Jiangyi Liu, et al.
World Development (2024) Vol. 184, pp. 106758-106758
Closed Access | Times Cited: 6
A Novel Hybrid Price Prediction Model for Multimodal Carbon Emission Trading Market Based on CEEMDAN Algorithm and Window-Based XGBoost Approach
Chao Zhang, Yihang Zhao, Huiru Zhao
Mathematics (2022) Vol. 10, Iss. 21, pp. 4072-4072
Open Access | Times Cited: 22
Solar-Mixer: An Efficient End-to-End Model for Long-Sequence Photovoltaic Power Generation Time Series Forecasting
Ziyuan Zhang, Jianzhou Wang, Yurui Xia, et al.
IEEE Transactions on Sustainable Energy (2023) Vol. 14, Iss. 4, pp. 1979-1991
Closed Access | Times Cited: 14
A robust time-varying weight combined model for crude oil price forecasting
Longlong Liu, Suyu Zhou, Jie Qian, et al.
Energy (2024) Vol. 299, pp. 131352-131352
Closed Access | Times Cited: 5
Time series forecasting of stock market indices based on DLWR-LSTM model
Dingjun Yao, Kai Yan
Finance research letters (2024) Vol. 68, pp. 105821-105821
Closed Access | Times Cited: 4
Recent progress in alkaline electrocatalytic hydrogen oxidation reaction: Mechanisms, catalysts design and perspectives
Jie Wu, Zhenhui Kang, Xiao Zhang
Coordination Chemistry Reviews (2025) Vol. 528, pp. 216427-216427
Closed Access
A Time Series Decomposition-Based Interpretable Electricity Price Forecasting Method
Yuanke Cu, Kaishu Wang, L. Zhang, et al.
Energies (2025) Vol. 18, Iss. 3, pp. 664-664
Open Access
Enhancing Stock Prediction ability through News Perspective and Deep Learning with attention mechanisms
Mei Yang, Fanjie Fu, Du Ni, et al.
Soft Computing (2025)
Closed Access
In-Season Price Forecasting in Cotton Futures Markets Using ARIMA, Neural Network, and LSTM Machine Learning Models
Jeffrey D. Vitale, John R. Robinson
Journal of risk and financial management (2025) Vol. 18, Iss. 2, pp. 93-93
Open Access
Decoding development: the AI frontier in policy crafting: A systematic review
Sofiarti Dyah Anggunia, Jesse Sowell, María Pérez‐Ortiz
Data & Policy (2025) Vol. 7
Open Access
Microstructure and mechanical properties of pre-homogenized high-Mn steel processed by equal-channel angular pressing
Young Hoon Jung, Beom Joon Kim, Marina M. Abramova, et al.
Materials Today Communications (2025), pp. 112166-112166
Closed Access
A new perspective on non-ferrous metal price forecasting: An interpretable two-stage ensemble learning-based interval-valued forecasting system
Wendong Yang, Hao Zhang, Jianzhou Wang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103267-103267
Closed Access
Projection of global copper demand in the context of energy transition
Aline Fernanda Soares, Renata Giovinazzo Spers, Ronaldo de Oliveira Santos Jhunior
Resources Policy (2025) Vol. 103, pp. 105567-105567
Closed Access
SST Forecast Skills Based on Hybrid Deep Learning Models: With Applications to the South China Sea
Mengmeng Zhang, Guijun Han, Xiaobo Wu, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 1034-1034
Open Access | Times Cited: 4
Long Short-Term Memory and Gated Recurrent Unit for Stock Price Prediction
Akhas Rahmadeyan, Mustakim Mustakim
Procedia Computer Science (2024) Vol. 234, pp. 204-212
Open Access | Times Cited: 4
Point and interval forecasting for wine prices: an approach based on artificial intelligence
Huiyu Cui, Honggang Guo, Jianzhou Wang, et al.
International Journal of Contemporary Hospitality Management (2024) Vol. 36, Iss. 8, pp. 2752-2773
Closed Access | Times Cited: 3
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
Predicting Natural Gas Prices Based on a Novel Hybrid Model with Variational Mode Decomposition
Qin Lu, Jingwen Liao, Kechi Chen, et al.
Computational Economics (2023) Vol. 63, Iss. 2, pp. 639-678
Closed Access | Times Cited: 7
A Medium to Long-Term Multi-Influencing Factor Copper Price Prediction Method Based on CNN-LSTM
Fei Li, Hanlu Zhou, Min Liu, et al.
IEEE Access (2023) Vol. 11, pp. 69458-69473
Open Access | Times Cited: 7
Research on runoff interval prediction method based on deep learning ensemble modeling with hydrological factors
Jinghan Huang, Zhaocai Wang, Jinghan Dong, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access | Times Cited: 2
Dual-stream Transformer-attention fusion network for short-term carbon price prediction
Han Wu, Pei Du
Energy (2024), pp. 133374-133374
Closed Access | Times Cited: 2
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