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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:

A New Hybrid VMD-ICSS-BiGRU Approach for Gold Futures Price Forecasting and Algorithmic Trading
Yuze Li, Shouyang Wang, Yunjie Wei, et al.
IEEE Transactions on Computational Social Systems (2021) Vol. 8, Iss. 6, pp. 1357-1368
Closed Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Oil price forecasting: A hybrid GRU neural network based on decomposition–reconstruction methods
Shiqi Zhang, Jing Luo, Shuyuan Wang, et al.
Expert Systems with Applications (2023) Vol. 218, pp. 119617-119617
Closed Access | Times Cited: 93
Multi-indicator water quality prediction with attention-assisted bidirectional LSTM and encoder-decoder
Jing Bi, Luyao Zhang, Haitao Yuan, et al.
Information Sciences (2023) Vol. 625, pp. 65-80
Closed Access | Times Cited: 47
A sentiment-enhanced hybrid model for crude oil price forecasting
Yan Fang, Wenyan Wang, Pengcheng Wu, et al.
Expert Systems with Applications (2022) Vol. 215, pp. 119329-119329
Closed Access | Times Cited: 36
Deep learning in economics: a systematic and critical review
Yuanhang Zheng, Zeshui Xu, Anran Xiao
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 9497-9539
Open Access | Times Cited: 19
Enhancing multilayer perceptron neural network using archive-based harris hawks optimizer to predict gold prices
Iyad Abu Doush, Basem H.A. Ahmed, Mohammed A. Awadallah, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 5, pp. 101557-101557
Open Access | Times Cited: 17
A power load forecasting method in port based on VMD-ICSS-hybrid neural network
Kai Ma, Xuefeng Nie, Jie Yang, et al.
Applied Energy (2024) Vol. 377, pp. 124246-124246
Closed Access | Times Cited: 7
Developing Hybrid Deep Learning Models for Stock Price Prediction Using Enhanced Twitter Sentiment Score and Technical Indicators
Nabanita Das, Bikash Sadhukhan, Rajdeep Ghosh, et al.
Computational Economics (2024) Vol. 64, Iss. 6, pp. 3407-3446
Closed Access | Times Cited: 5
Variational Mode Decomposition-Based Simultaneous R Peak Detection and Noise Suppression for Automatic ECG Analysis
V. Nivitha Varghees, Hua Cao, Laurent Peyrodie
IEEE Sensors Journal (2023) Vol. 23, Iss. 8, pp. 8703-8713
Closed Access | Times Cited: 12
Effects of macroeconomic factors on stock prices for BRICS using the variational mode decomposition and quantile method
Xiangning Wang, Qian Huang, Shuguang Zhang
The North American Journal of Economics and Finance (2023) Vol. 67, pp. 101939-101939
Closed Access | Times Cited: 12
Research on carbon asset trading strategy based on PSO-VMD and deep reinforcement learning
Jiayang Zhang, Kaijie Chen
Journal of Cleaner Production (2023) Vol. 435, pp. 140322-140322
Closed Access | Times Cited: 12
A combined model using secondary decomposition for crude oil futures price and volatility forecasting: Analysis based on comparison and ablation experiments
Hao Gong, H. Y. Xing, Yuanyuan Yu, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124196-124196
Closed Access | Times Cited: 4
Outlier-adaptive-based non-crossing quantiles method for day-ahead electricity price forecasting
Zhengganzhe Chen, Bin Zhang, Chenglong Du, et al.
Applied Energy (2025) Vol. 382, pp. 125328-125328
Closed Access
Asymmetric autocorrelation in the crude oil market at multiple scales based on a hybrid approach of variational mode decomposition and quantile autoregression
Xinpeng Ding, Jiayi He, Yali Zhang, et al.
Physica A Statistical Mechanics and its Applications (2025), pp. 130384-130384
Closed Access
Economic implications of enhanced stock market analysis using improved forecasting methods
Jason Peng, Yuming Yang
Expert Systems with Applications (2025), pp. 127240-127240
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
Hybrid Markov weighted fuzzy kernel time series with red Piranha Walrus optimization for gold price forecasting
Gobind Pillai, M. Immaculate Mary
Ain Shams Engineering Journal (2025) Vol. 16, Iss. 7, pp. 103448-103448
Closed Access
A new prediction NN framework design for individual stock based on the industry environment
Qing Zhu, Jianhua Che, Yuze Li, et al.
Data Science and Management (2022) Vol. 5, Iss. 4, pp. 199-211
Open Access | Times Cited: 17
H3O-LGBM: hybrid Harris hawk optimization based light gradient boosting machine model for real-time trading
Vaishali Gupta, Ela Kumar
Artificial Intelligence Review (2023) Vol. 56, Iss. 8, pp. 8697-8720
Open Access | Times Cited: 10
Predicting Chinese Commodity Futures Price: An EEMD-Hurst-LSTM Hybrid Approach
Ke Huang, Zuominyang Zhang, Qiumei Li, et al.
IEEE Access (2023) Vol. 11, pp. 14841-14858
Open Access | Times Cited: 10
A VMD–CISSA–LSSVM Based Electricity Load Forecasting Model
Guijuan Wang, Xinheng Wang, Zuoxun Wang, et al.
Mathematics (2021) Vol. 10, Iss. 1, pp. 28-28
Open Access | Times Cited: 22
A novel cryptocurrency price time series hybrid prediction model via machine learning with MATLAB/Simulink
Lingxiao Zhao, Zhiyang Li, Yue Ma, et al.
The Journal of Supercomputing (2023) Vol. 79, Iss. 14, pp. 15358-15389
Closed Access | Times Cited: 8
Research on IGBT aging prediction method based on adaptive VMD decomposition and GRU-AT model
Biyun Chen, Dongting Xie, Riwang Huang, et al.
Energy Reports (2023) Vol. 9, pp. 1432-1446
Open Access | Times Cited: 8
Network Attack Prediction With Hybrid Temporal Convolutional Network and Bidirectional GRU
Jing Bi, Kangyuan Xu, Haitao Yuan, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 7, pp. 12619-12630
Closed Access | Times Cited: 8
A New Combined Prediction Model for Ultra-Short-Term Wind Power Based on Variational Mode Decomposition and Gradient Boosting Regression Tree
Feng Xing, Xiaoyu Song, Yübo Wang, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 11026-11026
Open Access | Times Cited: 7
A New Hybrid Cryptocurrency Returns Forecasting Method Based on Multiscale Decomposition and an Optimized Extreme Learning Machine Using the Sparrow Search Algorithm
Xiaoxu Du, Zhenpeng Tang, Junchuan Wu, et al.
IEEE Access (2022) Vol. 10, pp. 60397-60411
Open Access | Times Cited: 12
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