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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:

Chaotic time series prediction using DTIGNet based on improved temporal-inception and GRU
Ke Fu, He Li, Pengfei Deng
Chaos Solitons & Fractals (2022) Vol. 159, pp. 112183-112183
Closed Access | Times Cited: 18

Showing 18 citing articles:

Chaotic time series prediction of nonlinear systems based on various neural network models
Ying Sun, Luying Zhang, Minghui Yao
Chaos Solitons & Fractals (2023) Vol. 175, pp. 113971-113971
Closed Access | Times Cited: 21
Chaos theory meets deep learning: A new approach to time series forecasting
Bowen Jia, Huyu Wu, Kaiyu Guo
Expert Systems with Applications (2024) Vol. 255, pp. 124533-124533
Closed Access | Times Cited: 6
An encoder–decoder architecture with Fourier attention for chaotic time series multi-step prediction
Ke Fu, He Li, Xiaotian Shi
Applied Soft Computing (2024) Vol. 156, pp. 111409-111409
Closed Access | Times Cited: 5
Echo state network structure optimization algorithm based on correlation analysis
Bowen Wang, Shuxian Lun, Ming Li, et al.
Applied Soft Computing (2024) Vol. 152, pp. 111214-111214
Closed Access | Times Cited: 4
Application of intelligent time series prediction method to dew point forecast
Dongbao Jia, Zhongxun Xu, Yichen Wang, et al.
Electronic Research Archive (2023) Vol. 31, Iss. 5, pp. 2878-2899
Open Access | Times Cited: 7
Multilayer Perceptron Network Optimization for Chaotic Time Series Modeling
Mu Qiao, Yanchun Liang, Adriano Tavares, et al.
Entropy (2023) Vol. 25, Iss. 7, pp. 973-973
Open Access | Times Cited: 5
Based on the Improved PSO-TPA-LSTM Model Chaotic Time Series Prediction
Zijian Cai, Guolin Feng, Qiguang Wang
Atmosphere (2023) Vol. 14, Iss. 11, pp. 1696-1696
Open Access | Times Cited: 4
Modeling of high-dimensional time-delay chaotic system based on Fourier neural operator
Jiacheng Feng, Lin Jiang, Lianshan Yan, et al.
Chaos Solitons & Fractals (2024) Vol. 188, pp. 115523-115523
Closed Access | Times Cited: 1
GoogLeResNet3 network for detecting the abnormal electricity consumption behavior of users
Linfei Yin, Qiuyue Zhong
International Journal of Electrical Power & Energy Systems (2022) Vol. 145, pp. 108733-108733
Closed Access | Times Cited: 6
DResInceptionNasNet method for offline grounding detection of distribution networks
Linfei Yin, Jiahao Huang
Applied Soft Computing (2023) Vol. 149, pp. 110945-110945
Closed Access | Times Cited: 2
Chaotic time series prediction based on multi-scale attention in a multi-agent environment
Miao Hua, Wei Zhu, Yuanhong Dan, et al.
Chaos Solitons & Fractals (2024) Vol. 183, pp. 114875-114875
Closed Access
A TCN-Linear Hybrid Model for Chaotic Time Series Forecasting
Mengjiao Wang, Fengtai Qin
Entropy (2024) Vol. 26, Iss. 6, pp. 467-467
Open Access
Application of gravity recovery and climate experiment data and ensemble modeling to assess saltwater intrusion in the Miandoab coastal aquifer, Iran, under climate change
Vahid Nourani, Nardin Jabbarian Paknezhad, Zhang Wen, et al.
Journal of Hydrology Regional Studies (2024) Vol. 55, pp. 101929-101929
Open Access
Prediction of Multivariate Chaotic Time Series using GRU, LSTM and RNN
Gülyeter Öztürk, Osman Eldoğan
Sakarya University Journal of Computer and Information Sciences (2024) Vol. 7, Iss. 2, pp. 156-172
Open Access
A neuromorphic radial-basis-function net using magnetic bits for time series prediction
Hengyu Qin, Zhiqiang Liao, Hitoshi Tabata
Results in Engineering (2024) Vol. 24, pp. 103371-103371
Open Access
Multi-output time series forecasting with randomized multivariate Fuzzy Cognitive Maps
Omid Orang, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães
Chaos Solitons & Fractals (2023) Vol. 176, pp. 114077-114077
Closed Access | Times Cited: 1
Research on Declining Trend of Shale Gas Production Based on Transfer Learning Methods
MingCheng Ni, Xiankang Xin, GaoMing Yu, et al.
(2023)
Closed Access
Research on the Declining Trend of Shale Gas Production Based on Transfer Learning Methods
Mingcheng Ni, Xiankang Xin, Gaoming Yu, et al.
Processes (2023) Vol. 11, Iss. 11, pp. 3105-3105
Open Access
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