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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 novel time series prediction method based on pooling compressed sensing echo state network and its application in stock market
Zijian Wang, Hui Zhao, Mingwen Zheng, et al.
Neural Networks (2023) Vol. 164, pp. 216-227
Closed Access | Times Cited: 13

Showing 13 citing articles:

A Joint Time-Frequency Domain Transformer for multivariate time series forecasting
Yushu Chen, Shengzhuo Liu, Jinzhe Yang, et al.
Neural Networks (2024) Vol. 176, pp. 106334-106334
Open Access | Times Cited: 7
Artificial intelligence-driven financial innovation: A robo-advisor system for robust returns across diversified markets
Qing Zhu, Chenyu Han, Shan Liu, et al.
Expert Systems with Applications (2025), pp. 126881-126881
Closed Access
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
CTF-former: A novel simplified multi-task learning strategy for simultaneous multivariate chaotic time series prediction
Ke Fu, He Li, Xiaotian Shi
Neural Networks (2024) Vol. 174, pp. 106234-106234
Closed Access | Times Cited: 4
Analysis and Fully Memristor-based Reservoir Computing for Temporal Data Classification
Ankur Singh, Sanghyeon Choi, Gunuk Wang, et al.
Neural Networks (2024) Vol. 182, pp. 106925-106925
Open Access | Times Cited: 4
MDWConv:CNN based on multi-scale atrous pyramid and depthwise separable convolution for long time series forecasting
Guangpo Tian, Yongli Xu, Xiang Ma, et al.
Neural Networks (2025) Vol. 185, pp. 107139-107139
Closed Access
Barrier function-based adaptive fixed-time ADLESN prescribed performance tracking control for UUVs with input saturation
Zhenghong Qi, Haitao Liu, Xuehong Tian, et al.
Ocean Engineering (2024) Vol. 302, pp. 117676-117676
Closed Access | Times Cited: 3
Multi-state delayed echo state network with empirical wavelet transform for time series prediction
Xianshuang Yao, Huiyu Wang, Yanning Shao, et al.
Applied Intelligence (2024) Vol. 54, Iss. 6, pp. 4646-4667
Closed Access | Times Cited: 2
A minimum complexity interaction echo state network
Jianming Liu, Xu Xu, Eric Li
Neural Computing and Applications (2023) Vol. 36, Iss. 8, pp. 4013-4026
Closed Access | Times Cited: 4
A novel modeling and prediction approach using Caputo derivative: An economical review via multi-deep assessment methodology
Nisa Özge Önal Tuğrul, Kâmil Karaçuha, Esra Ergün, et al.
AIMS Mathematics (2024) Vol. 9, Iss. 9, pp. 23512-23543
Open Access
RFNet: Multivariate long sequence time-series forecasting based on recurrent representation and feature enhancement
Dandan Zhang, Zhiqiang Zhang, Nanguang Chen, et al.
Neural Networks (2024) Vol. 181, pp. 106800-106800
Closed Access
Rapid training echo convolution network for image recognition
Minghao Zhou, Shuxian Lun, Ming Li
Information Sciences (2024) Vol. 696, pp. 121750-121750
Closed Access
A systematic study of Echo State Networks topologies for chaotic time series prediction
Johannes Viehweg, Philipp Teutsch, Patrick Mäder
Neurocomputing (2024), pp. 129032-129032
Open Access
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