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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 variational mode decompoisition approach for analysis and forecasting of economic and financial time series
Salim Lahmiri
Expert Systems with Applications (2016) Vol. 55, pp. 268-273
Closed Access | Times Cited: 183

Showing 1-25 of 183 citing articles:

Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis
Dat Thanh Tran, Alexandros Iosifidis, Juho Kanniainen, et al.
IEEE Transactions on Neural Networks and Learning Systems (2018) Vol. 30, Iss. 5, pp. 1407-1418
Open Access | Times Cited: 217
Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network
Yishun Liu, Chunhua Yang, Keke Huang, et al.
Knowledge-Based Systems (2019) Vol. 188, pp. 105006-105006
Closed Access | Times Cited: 210
Multi-step wind speed forecasting based on hybrid multi-stage decomposition model and long short-term memory neural network
Sinvaldo Rodrigues Moreno, Ramon Gomes da Silva, Viviana Cocco Mariani, et al.
Energy Conversion and Management (2020) Vol. 213, pp. 112869-112869
Closed Access | Times Cited: 185
Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads
Zichen Zhang, Wei‐Chiang Hong
Knowledge-Based Systems (2021) Vol. 228, pp. 107297-107297
Closed Access | Times Cited: 183
Fourier–Bessel series expansion based empirical wavelet transform for analysis of non-stationary signals
Abhijit Bhattacharyya, Lokesh Singh, Ram Bilas Pachori
Digital Signal Processing (2018) Vol. 78, pp. 185-196
Closed Access | Times Cited: 166
Clustering-based anomaly detection in multivariate time series data
Jingbo Li, Hesam Izakian, Witold Pedrycz, et al.
Applied Soft Computing (2020) Vol. 100, pp. 106919-106919
Closed Access | Times Cited: 151
Integrated framework of extreme learning machine (ELM) based on improved atom search optimization for short-term wind speed prediction
Lei Hua, Chu Zhang, Peng Tian, et al.
Energy Conversion and Management (2021) Vol. 252, pp. 115102-115102
Closed Access | Times Cited: 125
A VMD-EWT-LSTM-based multi-step prediction approach for shield tunneling machine cutterhead torque
Gang Shi, Chengjin Qin, Jianfeng Tao, et al.
Knowledge-Based Systems (2021) Vol. 228, pp. 107213-107213
Closed Access | Times Cited: 104
Rotating machinery fault-induced vibration signal modulation effects: A review with mechanisms, extraction methods and applications for diagnosis
Peng Zhou, Shiqian Chen, Qingbo He, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110489-110489
Closed Access | Times Cited: 65
The impact of Russia–Ukraine war on crude oil prices: an EMC framework
Qi Zhang, Yi Hu, Jianbin Jiao, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 27
Multi-step ahead wind speed forecasting using an improved wavelet neural network combining variational mode decomposition and phase space reconstruction
Deyun Wang, Hongyuan Luo, Olivier Grunder, et al.
Renewable Energy (2017) Vol. 113, pp. 1345-1358
Closed Access | Times Cited: 166
Early chatter identification based on an optimized variational mode decomposition
Kai Yang, Guofeng Wang, Yi Dong, et al.
Mechanical Systems and Signal Processing (2018) Vol. 115, pp. 238-254
Closed Access | Times Cited: 141
Hybrid Variational Mode Decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis
Ranjeeta Bisoi, P.K. Dash, Ajaya Kumar Parida
Applied Soft Computing (2018) Vol. 74, pp. 652-678
Closed Access | Times Cited: 139
A hybrid stock price index forecasting model based on variational mode decomposition and LSTM network
Hongli Niu, Kunliang Xu, Weiqing Wang
Applied Intelligence (2020) Vol. 50, Iss. 12, pp. 4296-4309
Closed Access | Times Cited: 136
Multivariate time series anomaly detection: A framework of Hidden Markov Models
Jingbo Li, Witold Pedrycz, Iqbal Jamal
Applied Soft Computing (2017) Vol. 60, pp. 229-240
Closed Access | Times Cited: 128
Electric Load Forecasting by Hybrid Self-Recurrent Support Vector Regression Model With Variational Mode Decomposition and Improved Cuckoo Search Algorithm
Zichen Zhang, Wei‐Chiang Hong, Junchi Li
IEEE Access (2020) Vol. 8, pp. 14642-14658
Open Access | Times Cited: 122
Crude oil price analysis and forecasting based on variational mode decomposition and independent component analysis
E Jianwei, Yan-Ling Bao, Jimin Ye
Physica A Statistical Mechanics and its Applications (2017) Vol. 484, pp. 412-427
Closed Access | Times Cited: 101
A new financial data forecasting model using genetic algorithm and long short-term memory network
Yusheng Huang, Yelin Gao, Yan Gan, et al.
Neurocomputing (2020) Vol. 425, pp. 207-218
Closed Access | Times Cited: 101
Co-movement of ASEAN stock markets: New evidence from wavelet and VMD-based copula tests
Yonghong Jiang, He Nie, Joe Yohanes Monginsidi
Economic Modelling (2017) Vol. 64, pp. 384-398
Closed Access | Times Cited: 97
Monthly crude oil spot price forecasting using variational mode decomposition
Jinchao Li, Shaowen Zhu, Qianqian Wu
Energy Economics (2019) Vol. 83, pp. 240-253
Closed Access | Times Cited: 91
Multi-step-ahead crude oil price forecasting based on two-layer decomposition technique and extreme learning machine optimized by the particle swarm optimization algorithm
Tingting Zhang, Zhenpeng Tang, Junchuan Wu, et al.
Energy (2021) Vol. 229, pp. 120797-120797
Closed Access | Times Cited: 75
Hybrid multi-stage decomposition with parametric model applied to wind speed forecasting in Brazilian Northeast
Sinvaldo Rodrigues Moreno, Viviana Cocco Mariani, Leandro dos Santos Coelho
Renewable Energy (2020) Vol. 164, pp. 1508-1526
Closed Access | Times Cited: 73
Short term electricity price forecasting using a new hybrid model based on two-layer decomposition technique and ensemble learning
Tingting Zhang, Zhenpeng Tang, Junchuan Wu, et al.
Electric Power Systems Research (2022) Vol. 205, pp. 107762-107762
Closed Access | Times Cited: 42
Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition
Hamid Nasiri, Mohammad Mehdi Ebadzadeh
Applied Soft Computing (2023) Vol. 148, pp. 110867-110867
Open Access | Times Cited: 34
A Prediction Model Based on Gated Nonlinear Spiking Neural Systems
Yujie Zhang, Qian Yang, Zhicai Liu, et al.
International Journal of Neural Systems (2023) Vol. 33, Iss. 06
Closed Access | Times Cited: 32
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