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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:

Modelling and forecasting high-frequency data with jumps based on a hybrid nonparametric regression and LSTM model
Yuping Song, Chunchun Cai, Dexiang Ma, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121527-121527
Closed Access | Times Cited: 25

Showing 25 citing articles:

Predicting structural deterioration of large-scale building clusters using snapshot data: an integrated Markov-LSTM model
Jie Liu, Guiwen Liu, Neng Wang, et al.
Building Research & Information (2025), pp. 1-17
Closed Access | Times Cited: 2
Improved Whale Optimization Algorithm towards Precise State-of-charge Estimation of Lithium-ion Batteries via Optimizing LSTM
Sicheng Wan, Haojing Yang, Jinwen Lin, et al.
Energy (2024), pp. 133185-133185
Closed Access | Times Cited: 9
Towards Economic Sustainability: A Comprehensive Review of Artificial Intelligence and Machine Learning Techniques in Improving the Accuracy of Stock Market Movements
Atoosa Rezaei, Iheb Abdellatif, Amjad Umar
International Journal of Financial Studies (2025) Vol. 13, Iss. 1, pp. 28-28
Open Access | Times Cited: 1
An effective predictor of the dynamic operation of latent heat thermal energy storage units based on a non-linear autoregressive network with exogenous inputs
Pranaynil Saikia, Héctor Bastida, Carlos E. Ugalde‐Loo
Applied Energy (2024) Vol. 360, pp. 122697-122697
Open Access | Times Cited: 6
Deep learning prediction of photocatalytic water splitting for hydrogen production under natural light based on experiments
Yan Yang, Yaqian Zheng, Shanke Liu, et al.
Energy Conversion and Management (2023) Vol. 301, pp. 118007-118007
Closed Access | Times Cited: 14
Hypertuned wavelet convolutional neural network with long short-term memory for time series forecasting in hydroelectric power plants
Stéfano Frizzo Stefenon, Laio Oriel Seman, Evandro Cardozo da Silva, et al.
Energy (2024), pp. 133918-133918
Closed Access | Times Cited: 4
Major Issues in High-Frequency Financial Data Analysis: A Survey of Solutions
Lu Zhang, Lei Hua
Mathematics (2025) Vol. 13, Iss. 3, pp. 347-347
Open Access
Kinetics modeling of suspended photocatalytic water splitting for hydrogen production using deep learning
Yaqian Zheng, Rushan Yang, Yan Yang
International Journal of Hydrogen Energy (2025) Vol. 111, pp. 205-219
Closed Access
A hybrid approach for lithium-ion battery remaining useful life prediction using signal decomposition and machine learning
Yibiao Fan, Ziyong Lin, Fan Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A preliminary study of digital twin for nuclear reactor dynamics: a synergy of machine learning and model predictive control
Yunjing Xue, Bowen Zhang, Ke Su, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 153, pp. 110940-110940
Closed Access
Enhancing decomposition-based hybrid models for forecasting multivariate and multi-source time series by federated transfer learning
Yonghou He, Li Tao, Zili Zhang
Expert Systems with Applications (2025), pp. 127725-127725
Closed Access
Exploring Different Dynamics of Recurrent Neural Network Methods for Stock Market Prediction - A Comparative Study
Ajit Mohan Pattanayak, Aleena Swetapadma, Biswajit Sahoo
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 3
Integration of Thermal Energy Storage for Sustainable Energy Hubs in the Forest Industry: A Comprehensive Analysis of Cost, Thermodynamic Efficiency, and Availability
Behnam Talebjedi, Timo Laukkanen, Henrik Holmberg
Heliyon (2024) Vol. 10, Iss. 17, pp. e36519-e36519
Open Access | Times Cited: 3
A hybrid load forecasting system based on data augmentation and ensemble learning under limited feature availability
Qing Yang, Zhirui Tian
Expert Systems with Applications (2024), pp. 125567-125567
Closed Access | Times Cited: 3
Monitoring of high-dimensional and high-frequency data streams: A nonparametric approach
Zhiqiong Wang, Xin Li, Ying Wang, et al.
Quality Technology & Quantitative Management (2024), pp. 1-20
Closed Access | Times Cited: 2
Time Series Forecasting Using LSTM to Predict Stock Market Price in the First Quarter of 2024
Farrah A Maharani, Sharen Ivana, Belva Fithriyah, et al.
(2024), pp. 74-80
Closed Access | Times Cited: 2
Time-series prediction of organomineral fertilizer moisture using machine learning
Cem KORKMAZ, İlyas KACAR
Applied Soft Computing (2024) Vol. 165, pp. 112086-112086
Closed Access | Times Cited: 2
Missing well logs reconstruction based on cascaded bidirectional long short-term memory network
Wei Zhou, HaiHang Zhao, Xiangchengzhen Li, et al.
Expert Systems with Applications (2024) Vol. 259, pp. 125270-125270
Closed Access | Times Cited: 2
A New Artificial Intelligence-Based System for Optimal Electricity Arbitrage of a Second-Life Battery Station in Day-Ahead Markets
Oğuz KIRAT, Alper Çiçek, Tarık Yerlikaya
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 10032-10032
Open Access | Times Cited: 2
A hybrid deep recurrent artificial neural network with a simple exponential smoothing feedback mechanism
Özlem Karahasan, Eren Baş, Erol Eğrioğlu
Information Sciences (2024) Vol. 686, pp. 121356-121356
Closed Access | Times Cited: 1
Convolutional Neural Networks accurately predict soil matric potential from soil, weather, and satellite-derived data
Carlos Ballester, John Hornbuckle, Brenno Tondato, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109597-109597
Open Access | Times Cited: 1
Probabilistic En Route Sector Traffic Demand Prediction Based on Quantile Regression Neural Network and Kernel Density Estimation
Wen Tian, Yining Zhang, Yuchen Li, et al.
Applied Sciences (2024) Vol. 14, Iss. 4, pp. 1515-1515
Open Access
Deep Learning based Framework for Option Price Forecasting
Artur Dossatayev
(2024), pp. 346-351
Closed Access
Human risk recognition and prediction in manned submersible diving tasks driven by deep learning models
Yidan Qiao, Haotian Li, Dengkai Chen, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102893-102893
Closed Access
Development of Multi-Forecasting Model Using Monte Carlo Simulation Coupled With Wavelet Denoising-ARIMA Model
Sarbjit Singh, Kulwinder Singh Parmar, Jatinder Kumar
Mathematics and Computers in Simulation (2024)
Closed Access
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