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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:

Novel hybrid model based on echo state neural network applied to the prediction of stock price return volatility
Gabriel Trierweiler Ribeiro, André Alves Portela Santos, Viviana Cocco Mariani, et al.
Expert Systems with Applications (2021) Vol. 184, pp. 115490-115490
Open Access | Times Cited: 84

Showing 1-25 of 84 citing articles:

Carbon price forecasting based on CEEMDAN and LSTM
Feite Zhou, Zhehao Huang, Changhong Zhang
Applied Energy (2022) Vol. 311, pp. 118601-118601
Closed Access | Times Cited: 249
A comprehensive comparison among metaheuristics (MHs) for geohazard modeling using machine learning: Insights from a case study of landslide displacement prediction
Junwei Ma, Ding Xia, Yankun Wang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105150-105150
Open Access | Times Cited: 94
An enhanced particle swarm optimization with position update for optimal feature selection
Sani Tijjani, Mohd Nadhir Ab Wahab, Mohd Halim Mohd Noor
Expert Systems with Applications (2024) Vol. 247, pp. 123337-123337
Closed Access | Times Cited: 30
Optimizing multi-step wind power forecasting: Integrating advanced deep neural networks with stacking-based probabilistic learning
Lucas de Azevedo Takara, Ana Clara Teixeira, Hamed Yazdanpanah, et al.
Applied Energy (2024) Vol. 369, pp. 123487-123487
Closed Access | Times Cited: 18
A hybrid model for multi-step coal price forecasting using decomposition technique and deep learning algorithms
Kefei Zhang, Hua Cao, Jesse Thé, et al.
Applied Energy (2021) Vol. 306, pp. 118011-118011
Closed Access | Times Cited: 83
A Hybrid Stock Price Prediction Model Based on PRE and Deep Neural Network
Srivinay Srivinay, B. C. Manujakshi, Mohan G. Kabadi, et al.
Data (2022) Vol. 7, Iss. 5, pp. 51-51
Open Access | Times Cited: 37
CO and NOx emissions prediction in gas turbine using a novel modeling pipeline based on the combination of deep forest regressor and feature engineering
Leandro dos Santos Coelho, Helon Vicente Hultmann Ayala, Viviana Cocco Mariani
Fuel (2023) Vol. 355, pp. 129366-129366
Closed Access | Times Cited: 33
An interpretable system for predicting the impact of COVID-19 government interventions on stock market sectors
Cai Yang, Mohammad Zoynul Abedin, Hongwei Zhang, et al.
Annals of Operations Research (2023)
Open Access | Times Cited: 32
Spatial–temporal multi-feature fusion network for long short-term traffic prediction
Yan Wang, Qianqian Ren, Jinbao Li
Expert Systems with Applications (2023) Vol. 224, pp. 119959-119959
Closed Access | Times Cited: 26
Volatility Forecasting with Machine Learning and Intraday Commonality
Chao Zhang, Yihuang Zhang, Mihai Cucuringu, et al.
Journal of Financial Econometrics (2023) Vol. 22, Iss. 2, pp. 492-530
Open Access | Times Cited: 24
Novel optimization approach for realized volatility forecast of stock price index based on deep reinforcement learning model
Yuanyuan Yu, Yu Lin, Xianping Hou, et al.
Expert Systems with Applications (2023) Vol. 233, pp. 120880-120880
Closed Access | Times Cited: 24
Uncertainty quantification in multiaxial fatigue life prediction using Bayesian neural networks
GaoYuan He, Yongxiang Zhao, ChuLiang Yan
Engineering Fracture Mechanics (2024) Vol. 298, pp. 109961-109961
Closed Access | Times Cited: 10
Prediction of realized volatility and implied volatility indices using AI and machine learning: A review
Elias Søvik Gunnarsson, Håkon Ramon Isern, Aris Kaloudis, et al.
International Review of Financial Analysis (2024) Vol. 93, pp. 103221-103221
Open Access | Times Cited: 10
Predictive intelligence using ANFIS‐induced OWAWA for complex stock market prediction
Walayat Hussain, José M. Merigó, Muhammad Raheel Raza
International Journal of Intelligent Systems (2021) Vol. 37, Iss. 8, pp. 4586-4611
Open Access | Times Cited: 42
An optimized AdaBoost Multi-class support vector machine for driver behavior monitoring in the advanced driver assistance systems
S. Ravikumar, Sekar Sellappan, Jeyalakshmi Shunmugiah, et al.
Expert Systems with Applications (2022) Vol. 212, pp. 118618-118618
Closed Access | Times Cited: 29
Serial-parallel dynamic echo state network: A hybrid dynamic model based on a chaotic coyote optimization algorithm for wind speed prediction
Lin Ding, Yulong Bai, Manhong Fan, et al.
Expert Systems with Applications (2022) Vol. 212, pp. 118789-118789
Closed Access | Times Cited: 29
Crude oil price prediction using deep reinforcement learning
Xuedong Liang, Peng Luo, Xiaoyan Li, et al.
Resources Policy (2023) Vol. 81, pp. 103363-103363
Closed Access | Times Cited: 20
McVCsB: A new hybrid deep learning network for stock index prediction
Chenhao Cui, Peiwan Wang, Yong Li, et al.
Expert Systems with Applications (2023) Vol. 232, pp. 120902-120902
Closed Access | Times Cited: 18
Carbon Price Fluctuation Prediction Using a Novel Hybrid Statistics and Machine Learning Approach
Dawei Shang
(2025)
Closed Access
Carbon price fluctuation prediction using a novel hybrid statistics and machine learning approach
Dawei Shang, Yudan Pang, Haijie Wang
Energy (2025), pp. 135581-135581
Closed Access
A hybrid optimized deep learning model via the Golden jackal Optimizer for accurate stock price forecasting
Vasileios Gkonis, Ioannis Tsakalos
Expert Systems with Applications (2025), pp. 127287-127287
Open Access
Bagging ensemble-based novel data generation method for univariate time series forecasting
Donghwan Kim, Jun‐Geol Baek
Expert Systems with Applications (2022) Vol. 203, pp. 117366-117366
Closed Access | Times Cited: 24
Centralized decomposition approach in LSTM for Bitcoin price prediction
Eunho Koo, Geonwoo Kim
Expert Systems with Applications (2023) Vol. 237, pp. 121401-121401
Closed Access | Times Cited: 15
Forecasting of NIFTY 50 Index Price by Using Backward Elimination with an LSTM Model
Syed Hasan Jafar, Shakeb Akhtar, Hani El-Chaarani, et al.
Journal of risk and financial management (2023) Vol. 16, Iss. 10, pp. 423-423
Open Access | Times Cited: 14
A clustering algorithm based on dominating (dominated) roughness
Bin Yu, Ruihui Xu, Weiping Ding
Neurocomputing (2025), pp. 129705-129705
Closed Access
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