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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:

Forecasting stock market for an efficient portfolio by combining XGBoost and Hilbert–Huang​ transform
Arsalan Dezhkam, Mohammad Taghi Manzuri
Engineering Applications of Artificial Intelligence (2022) Vol. 118, pp. 105626-105626
Closed Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

ESG rating results and corporate total factor productivity
Qinyuan Xue, Y. J. Jin, Cheng Zhang
International Review of Financial Analysis (2024) Vol. 95, pp. 103381-103381
Closed Access | Times Cited: 23
Analyzing the market performance of Romanian firms: do the COVID-19 crisis and classification type matter?
Alina Cristina Nuţă, Ahmed Mohamed Habib, Serdar Neslihanoglu, et al.
International Journal of Emerging Markets (2024)
Open Access | Times Cited: 19
Hybrid of jellyfish and particle swarm optimization algorithm-based support vector machine for stock market trend prediction
R.J. Kuo, Tzu-Hsuan Chiu
Applied Soft Computing (2024) Vol. 154, pp. 111394-111394
Closed Access | Times Cited: 18
Combining artificial intelligence and computational fluid dynamics for optimal design of laterally perforated finned heat sinks
Seyyed Amirreza Abdollahi, Ali Basem, As’ad Alizadeh, et al.
Results in Engineering (2024) Vol. 21, pp. 102002-102002
Open Access | Times Cited: 16
Multi-objective optimization of a laterally perforated-finned heat sink with computational fluid dynamics method and statistical modeling using response surface methodology
Junjie Li, Dheyaa J. Jasim, Dler Hussein Kadir, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107674-107674
Closed Access | Times Cited: 24
Developing a hybrid system for stock selection and portfolio optimization with many-objective optimization based on deep learning and improved NSGA-III
Mengzheng Lv, Jianzhou Wang, Shuai Wang, et al.
Information Sciences (2024) Vol. 670, pp. 120549-120549
Closed Access | Times Cited: 13
A novel insight into the design of perforated-finned heat sinks based on a hybrid procedure: Computational fluid dynamics, machine learning, multi-objective optimization, and multi-criteria decision-making
Seyyed Amirreza Abdollahi, A.H. Aljassar E. Al-Enezi, As’ad Alizadeh, et al.
International Communications in Heat and Mass Transfer (2024) Vol. 155, pp. 107535-107535
Closed Access | Times Cited: 11
Boosting Algorithm to Handle Unbalanced Classification of PM2.5 Concentration Levels by Observing Meteorological Parameters in Jakarta-Indonesia Using AdaBoost, XGBoost, CatBoost, and LightGBM
Toni Toharudin, Rezzy Eko Caraka, Indah Reski Pratiwi, et al.
IEEE Access (2023) Vol. 11, pp. 35680-35696
Open Access | Times Cited: 18
Comparing Machine Learning Methods—SVR, XGBoost, LSTM, and MLP— For Forecasting the Moroccan Stock Market
Hassan Oukhouya, Khalid El Himdi
(2023), pp. 39-39
Open Access | Times Cited: 17
Navigating Energy and Financial Markets: A Review of Technical Analysis Used and Further Investigation from Various Perspectives
Yensen Ni
Energies (2024) Vol. 17, Iss. 12, pp. 2942-2942
Open Access | Times Cited: 5
CatBoost-SHAP for modeling industrial operational flotation variables – A “conscious lab” approach
Saeed Chehreh Chelgani, Arman Homafar, Hamid Nasiri, et al.
Minerals Engineering (2024) Vol. 213, pp. 108754-108754
Open Access | Times Cited: 5
Enhancing understanding of asphalt mixture dynamic modulus prediction through interpretable machine learning method
Ke Zhang, Zhaohui Min, Xiatong Hao, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103111-103111
Closed Access
A hybrid dual-branch model with recurrence plots and transposed transformer for stock trend prediction
Jingyu Su, Haoyu Li, Ruiqi Wang, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2025) Vol. 35, Iss. 1
Closed Access
Machine Learning for Price Prediction and Risk-Adjusted Portfolio Optimization in Cryptocurrencies
Dailin Song
Advances in finance, accounting, and economics book series (2025), pp. 321-356
Closed Access
LSTM-Based Portfolio Optimization with Gerber Covariance Estimator for Increased Robustness
Ishita Mehta, Kartik Gupta
Lecture notes in networks and systems (2025), pp. 179-190
Closed Access
Dự báo giá cổ phiếu CATL đóng cửa và các chiến lược giao dịch sử dụng XGBoost và thuật toán tối ưu hóa Optuna
Trần Bá Thuấn, Trần Thị Diệu Thuần
Tạp chí Công nghiệp Kinh tế và Quản lý (2025), Iss. 2, pp. 94-101
Closed Access
Forecasting stock market time series through the integration of bee colony optimizer and multivariate empirical mode decomposition with extreme gradient boosting regression
Xuefeng Liu, Zhixin Wu, Jiayue Xin
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110353-110353
Closed Access
Decoding Financial Markets: Empirical DGPs as the Key to Model Selection and Forecasting Excellence – A Proof of Concept
Markus Vogl, Milena Kojić, Abhishek Sharma, et al.
Physica A Statistical Mechanics and its Applications (2025), pp. 130542-130542
Closed Access
Unraveling asset pricing with AI: A systematic literature review
Yan Chen, Lin Zhang, Zhilong Xie, et al.
Applied Soft Computing (2025), pp. 112978-112978
Closed Access
Leveraging large language models to examine the interaction between investor sentiment and stock performance
Yong Zhuang, Feilong Wang, Dickson K.W. Chiu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110602-110602
Closed Access
Deep learning in stock portfolio selection and predictions
Chaher Alzaman
Expert Systems with Applications (2023) Vol. 237, pp. 121404-121404
Closed Access | Times Cited: 12
Chaos measure dynamics in a multifactor model for financial market predictions
Markus Vogl
Communications in Nonlinear Science and Numerical Simulation (2023) Vol. 130, pp. 107760-107760
Closed Access | Times Cited: 11
A Novel Fusion Method for Soybean Yield Prediction Using Sentinel-2 and PlanetScope Imagery
Khilola Amankulova, Nizom Farmonov, Enas Abdelsamei, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 13694-13707
Open Access | Times Cited: 3
Predicting Stock Trends Using Web Semantics and Feature Fusion
Wenrui Zhou, Huxidan Jumahong, Ruihua Cui, et al.
International Journal on Semantic Web and Information Systems (2024) Vol. 20, Iss. 1, pp. 1-25
Open Access | Times Cited: 3
An Advisor Neural Network framework using LSTM-based Informative Stock Analysis
Fausto Ricchiuti, Giancarlo Sperlì
Expert Systems with Applications (2024) Vol. 259, pp. 125299-125299
Open Access | Times Cited: 3
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