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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:

Cascading logistic regression onto gradient boosted decision trees for forecasting and trading stock indices
Feng Zhou, Zhang Qun, Didier Sornette, et al.
Applied Soft Computing (2019) Vol. 84, pp. 105747-105747
Closed Access | Times Cited: 101

Showing 1-25 of 101 citing articles:

Mean–variance portfolio optimization using machine learning-based stock price prediction
Wei Chen, Haoyu Zhang, Mukesh Kumar Mehlawat, et al.
Applied Soft Computing (2020) Vol. 100, pp. 106943-106943
Closed Access | Times Cited: 213
Depth prediction of urban flood under different rainfall return periods based on deep learning and data warehouse
Zening Wu, Yihong Zhou, Huiliang Wang, et al.
The Science of The Total Environment (2020) Vol. 716, pp. 137077-137077
Closed Access | Times Cited: 178
Technical analysis strategy optimization using a machine learning approach in stock market indices
Jordan Ayala, Miguel García-Torres, José Luis Vázquez Noguera, et al.
Knowledge-Based Systems (2021) Vol. 225, pp. 107119-107119
Closed Access | Times Cited: 103
Big data, artificial intelligence and machine learning: A transformative symbiosis in favour of financial technology
Duc Khuong Nguyen, Georgios Sermpinis, Charalampos Stasinakis
European Financial Management (2022) Vol. 29, Iss. 2, pp. 517-548
Open Access | Times Cited: 74
A new artificial intelligence strategy for predicting the groundwater level over the Rafsanjan aquifer in Iran
Ahmad Sharafati, Seyed Babak Haji Seyed Asadollah, Aminreza Neshat
Journal of Hydrology (2020) Vol. 591, pp. 125468-125468
Closed Access | Times Cited: 93
Application of newly developed ensemble machine learning models for daily suspended sediment load prediction and related uncertainty analysis
Ahmad Sharafati, Seyed Babak Haji Seyed Asadollah, Davide Motta, et al.
Hydrological Sciences Journal (2020) Vol. 65, Iss. 12, pp. 2022-2042
Open Access | Times Cited: 92
Forecasting Nickel futures price based on the empirical wavelet transform and gradient boosting decision trees
Qinghua Gu, Yinxin Chang, Naixue Xiong, et al.
Applied Soft Computing (2021) Vol. 109, pp. 107472-107472
Closed Access | Times Cited: 60
Heat load prediction of residential buildings based on discrete wavelet transform and tree-based ensemble learning
Mingju Gong, Jin Wang, Yin Bai, et al.
Journal of Building Engineering (2020) Vol. 32, pp. 101455-101455
Closed Access | Times Cited: 57
Predicting next day direction of stock price movement using machine learning methods with persistent homology: Evidence from Kuala Lumpur Stock Exchange
Mohd Sabri Ismail, Mohd Salmi Md Noorani, Munira Ismail, et al.
Applied Soft Computing (2020) Vol. 93, pp. 106422-106422
Closed Access | Times Cited: 57
Deep Learning for Price Movement Prediction Using Convolutional Neural Network and Long Short-Term Memory
Can Yang, Junjie Zhai, Guihua Tao
Mathematical Problems in Engineering (2020) Vol. 2020, pp. 1-13
Open Access | Times Cited: 55
Comparative study of multilayer perceptron-stochastic gradient descent and gradient boosted trees for predicting daily suspended sediment load: The case study of the Mississippi River, U.S.
Sadra Shadkani, Akram Abbaspour, Saeed Samadianfard, et al.
International Journal of Sediment Research (2020) Vol. 36, Iss. 4, pp. 512-523
Closed Access | Times Cited: 54
Stock Trend Prediction Using Candlestick Charting and Ensemble Machine Learning Techniques With a Novelty Feature Engineering Scheme
Yaohu Lin, Shancun Liu, Haijun Yang, et al.
IEEE Access (2021) Vol. 9, pp. 101433-101446
Open Access | Times Cited: 49
Research on stock trend prediction method based on optimized random forest
Lili Yin, Benling Li, Peng Li, et al.
CAAI Transactions on Intelligence Technology (2021) Vol. 8, Iss. 1, pp. 274-284
Open Access | Times Cited: 48
An exploration of challenges associated with machine learning for time series forecasting of COVID-19 community spread using wastewater-based epidemiological data
Liam Vaughan, Muyang Zhang, Haoran Gu, et al.
The Science of The Total Environment (2022) Vol. 858, pp. 159748-159748
Open Access | Times Cited: 37
Prediction Analysis Sales for Corporate Services Telecommunications Company using Gradient Boost Algorithm
Oryza Wisesa, Andi Adriansyah, Osamah Ibrahim Khalaf
(2020), pp. 101-106
Closed Access | Times Cited: 45
Integrated GCN-LSTM stock prices movement prediction based on knowledge-incorporated graphs construction
Yong Shi, Yunong Wang, Yi Qu, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 15, Iss. 1, pp. 161-176
Closed Access | Times Cited: 14
Does reinforcement learning outperform deep learning and traditional portfolio optimization models in frontier and developed financial markets?
Vu Minh Ngo, Huan Huu Nguyen, Phuc Van Nguyen
Research in International Business and Finance (2023) Vol. 65, pp. 101936-101936
Closed Access | Times Cited: 13
Clustering-based return prediction model for stock pre-selection in portfolio optimization using PSO-CNN+MVF
Mahdi Ashrafzadeh, Hasan Taheri, Mahmoud Gharehgozlou, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 9, pp. 101737-101737
Open Access | Times Cited: 13
A meta-analysis of supervised and unsupervised machine learning algorithms and their application to active portfolio management
Albert Ali Salah, Gatfaoui Hayette
Expert Systems with Applications (2025), pp. 126611-126611
Closed Access
Development and validation using of artificial intelligence algorithms for tool wear forecasting in the CNC turning process of 7075 Al alloy with tungsten carbide tool
Abd El Hedi Gabsi, Sofiane Bouajila
Surface Topography Metrology and Properties (2025) Vol. 13, Iss. 1, pp. 015029-015029
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
Multivariate time series analysis and forecasting using Bicluster mining and fuzzy inference
P. Matan, P. Velvizhy
AIP conference proceedings (2025) Vol. 3266, pp. 020003-020003
Closed Access
PREDICTING THE LITIGATION OUTCOME OF PPP PROJECT DISPUTES BETWEEN PUBLIC AUTHORITY AND PRIVATE PARTNER USING AN ENSEMBLE MODEL
Xiaoxiao Zheng, Yisheng Liu, Jiang Jun, et al.
Journal of Business Economics and Management (2021) Vol. 22, Iss. 2, pp. 320-345
Closed Access | Times Cited: 31
A Hybrid Spiking Neurons Embedded LSTM Network for Multivariate Time Series Learning under Concept-drift Environment
Wendong Zheng, Putian Zhao, Gang Chen, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Closed Access | Times Cited: 20
PD-ADSV: An automated diagnosing system using voice signals and hard voting ensemble method for Parkinson’s disease
Paria Ghaheri, Ahmadreza Shateri, Hamid Nasiri
Software Impacts (2023) Vol. 16, pp. 100504-100504
Open Access | Times Cited: 11
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