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:

An enhanced interval-valued decomposition integration model for stock price prediction based on comprehensive feature extraction and optimized deep learning
Jujie Wang, Jing Liu, Weiyi Jiang
Expert Systems with Applications (2023) Vol. 243, pp. 122891-122891
Closed Access | Times Cited: 14

Showing 14 citing articles:

A deterministic and probabilistic hybrid model for wind power forecasting based improved feature screening and optimal Gaussian mixed kernel function
Jujie Wang, Xudong Tang, Weiyi Jiang
Expert Systems with Applications (2024) Vol. 251, pp. 123965-123965
Closed Access | Times Cited: 7

LSTM–Transformer-Based Robust Hybrid Deep Learning Model for Financial Time Series Forecasting
Md Rizwanul Kabir, Dipayan Bhadra, Moinul Ridoy, et al.
Sci (2025) Vol. 7, Iss. 1, pp. 7-7
Open Access

Joint interval forecasting of renewable energy stocks using a secondary decomposition approach
Shuihan Liu, Yunjie Wei, Pan Peng, et al.
Renewable Energy (2025), pp. 122763-122763
Closed Access

Named Entity Recognition Based Neural Network Framework for Stock Trend Prediction Using Latent Dirichlet Allocation
Manas Ranjan Prusty, Apoorv Kumar Sinha, Sanskriti Sanjay Kumar Singh, et al.
Arabian Journal for Science and Engineering (2025)
Closed Access

Decomposition-based long short-term memory model for price forecasting of agricultural commodities
Kapil Choudhary, Girish Kumar Jha, Ronit Jaiswal, et al.
Iran Journal of Computer Science (2024) Vol. 7, Iss. 4, pp. 861-873
Closed Access | Times Cited: 3

PMANet: a time series forecasting model for Chinese stock price prediction
Wenke Zhu, Weisi Dai, Chunling Tang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3

An interpretable deep learning multi-dimensional integration framework for exchange rate forecasting based on deep and shallow feature selection and snapshot ensemble technology
Jujie Wang, Ying Dong
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108282-108282
Closed Access | Times Cited: 2

Stocks price prediction based on optimized echo state network by sparrow search algorithm
Zhengjie Tian, Lijun Pei
International Journal of Dynamics and Control (2024) Vol. 12, Iss. 8, pp. 2764-2777
Closed Access | Times Cited: 1

A decomposition-ensemble-integration framework for carbon price forecasting
Xiang Li, Yongqi Zhang, Lei Chen, et al.
Expert Systems with Applications (2024) Vol. 257, pp. 124954-124954
Closed Access | Times Cited: 1

Stock Price Prediction Using Deep Learning Algorithms Based on Technical Indicators
Mine Konur, Mustafa Göçken, Ayşe Tuğba Dosdoğru
Journal of Operations Intelligence (2024) Vol. 2, Iss. 1, pp. 300-320
Open Access | Times Cited: 1

Analyzing the critical steps in deep learning-based stock forecasting: a literature review
Zinnet Duygu Akşehır, Erdal Kılıç
PeerJ Computer Science (2024) Vol. 10, pp. e2312-e2312
Open Access | Times Cited: 1

How to optimize modern portfolio theory? A systematic review and research agenda
Yang Zhao, J Wang, Yong Wang, et al.
Expert Systems with Applications (2024) Vol. 263, pp. 125780-125780
Closed Access

A pixel-level assessment method of the aging status of silicone rubber insulators based on hyperspectral imaging technology and IPCA-SVM model
Yihan Fan, Yujun Guo, Yang Liu, et al.
Expert Systems with Applications (2024), pp. 125788-125788
Closed Access

Spatio-temporal feature interpretable model for air quality forecasting
Wenhao Yang, Hongmin Li, Jianzhou Wang, et al.
Ecological Indicators (2024) Vol. 167, pp. 112609-112609
Open Access

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