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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 long-term multivariate time series forecasting network combining series decomposition and convolutional neural networks
Xingyu Wang, Hui Liu, Junzhao Du, et al.
Applied Soft Computing (2023) Vol. 139, pp. 110214-110214
Closed Access | Times Cited: 24

Showing 24 citing articles:

A Fuzzy C-Means Clustering-Based Hybrid Multivariate Time Series Prediction Framework With Feature Selection
Jianming Zhan, Xianfeng Huang, Yuhua Qian, et al.
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 8, pp. 4270-4284
Closed Access | Times Cited: 12
Association mining based deep learning approach for financial time-series forecasting
Tanya Srivastava, Ishita Mullick, Jatin Bedi
Applied Soft Computing (2024) Vol. 155, pp. 111469-111469
Closed Access | Times Cited: 9
Equipping high-order fuzzy cognitive map with interpretable weights for multivariate time series forecasting
Chenxi Ouyang, Fusheng Yu, Fei Yang
Applied Soft Computing (2025) Vol. 170, pp. 112724-112724
Closed Access
Localized global models using autoencoder-based clustering to forecast related time series
Hossein Abbasimehr, Ali Noshad
International Journal of Data Science and Analytics (2025)
Closed Access
A hybrid system with optimized decomposition on random deep learning model for crude oil futures forecasting
Jie Wang, Ying Zhang
Expert Systems with Applications (2025), pp. 126706-126706
Closed Access
Enhanced forecasting method for realized volatility of energy futures prices: A secondary decomposition-based deep learning model
Hao Gong, H. Y. Xing, Qianwen Wang
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110321-110321
Closed Access
Big time series data forecasting based on deep autoencoding and clustering
Hossein Abbasimehr, Ali Noshad
Cluster Computing (2025) Vol. 28, Iss. 4
Closed Access
Deep Learning for Intrusion Detection Systems (IDSs) in Time Series Data
Konstantinos Psychogyios, Andreas Papadakis, Stavroula Bourou, et al.
Future Internet (2024) Vol. 16, Iss. 3, pp. 73-73
Open Access | Times Cited: 4
Hybrid wavelet-neural network models for time series
Deniz Kenan Kılıç, Ömür Uğur
Applied Soft Computing (2023) Vol. 144, pp. 110469-110469
Open Access | Times Cited: 11
MDCNet: Long-term time series forecasting with mode decomposition and 2D convolution
Jing Su, Dirui Xie, Yuanzhi Duan, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 111986-111986
Closed Access | Times Cited: 3
DSANet: A lightweight hybrid network for human action recognition in virtual sports
Zhiyong Xiao, Feng Yu, Li Liu, et al.
Computer Animation and Virtual Worlds (2024) Vol. 35, Iss. 3
Closed Access | Times Cited: 2
COVID-based controller: Enhancing automotive safety with a neuroadaptive beta-function optimization for anti-lock braking systems
Masoud Shirzadeh, Abdollah Amirkhani
Engineering Science and Technology an International Journal (2024) Vol. 56, pp. 101764-101764
Open Access | Times Cited: 2
Understanding the Dynamics of Ocean Wave-Current Interactions Through Multivariate Multi-Step Time Series Forecasting
Zaharaddeen Karami Lawal, Hayati Yassin, Daphne Teck Ching Lai, et al.
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 2
Based on hypernetworks and multifractals: Deep distribution feature fusion for multidimensional nonstationary time series prediction
Yuewen Shen, Lihong Wen, Chaowen Shen
Chaos Solitons & Fractals (2024) Vol. 182, pp. 114811-114811
Closed Access | Times Cited: 1
Vital Sign Forecasting for Sepsis Patients in ICUs
Anubhav Bhatti, Yuwei Liu, Dan Chen, et al.
(2024), pp. 60-63
Open Access | Times Cited: 1
A Deep Learning Method for Human Sleeping Pose Estimation with Millimeter Wave Radar
Zisheng Li, Ken Chen, Yaoqin Xie
Sensors (2024) Vol. 24, Iss. 18, pp. 5900-5900
Open Access | Times Cited: 1
An incremental learning framework for pipeline weld crack damage identification and leakage rate prediction
Jing Huang, Zhifen Zhang, Yanlong Yu, et al.
Engineering Applications of Computational Fluid Mechanics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 1
A Dual-Topological Graph Memory Network for Anti-noise Multivariate Time Series Forecasting
Minglan Zhang, Linfu Sun, Jing Yang, et al.
Information Sciences (2024) Vol. 681, pp. 121253-121253
Closed Access
A novel FNN-based deep learning model for the forecasting of long-term multivariate time series
Hao Xiong
(2024)
Open Access
Oriented to a multi-learning mode: establishing trend-fuzzy-granule-based LSTM neural networks for time series forecasting
Yuqing Tang, Fusheng Yu, Witold Pedrycz, et al.
Applied Soft Computing (2024) Vol. 166, pp. 112195-112195
Closed Access
Meta Koopman decomposition for time series forecasting under temporal distribution shifts
Yudong Zhang, Xu Wang, Zhaoyang Sun, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102840-102840
Closed Access
A shared multi-scale lightweight convolution generative network for few-shot multivariate time series forecasting
Minglan Zhang, Linfu Sun, Jing Yang, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112420-112420
Closed Access
Multidimensional Feature-Based Graph Attention Networks and Dynamic Learning for Electricity Load Forecasting
Chaokai Huang, Ning Du, Jiahan He, et al.
Energies (2023) Vol. 16, Iss. 18, pp. 6443-6443
Open Access | Times Cited: 1
Residual Deep Fuzzy System with Randomized Fuzzy Modules for Accurate Time Series Forecasting
Yunxia Liu, Chengdong Li, Xiao Lu, et al.
(2023)
Closed Access
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