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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:

An Exploratory Study on the Complexity and Machine Learning Predictability of Stock Market Data
Sebastian Raubitzek, Thomas Neubauer
Entropy (2022) Vol. 24, Iss. 3, pp. 332-332
Open Access | Times Cited: 14

Showing 14 citing articles:

An Overview of Machine Learning, Deep Learning, and Reinforcement Learning-Based Techniques in Quantitative Finance: Recent Progress and Challenges
Santosh Sahu, Anil Mokhade, Neeraj Dhanraj Bokde
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1956-1956
Open Access | Times Cited: 89
Forecasting stock prices using a novel filtering-combination technique: Application to the Pakistan stock exchange
Hasnain Iftikhar, Murad Khan, Josué Edison Turpo Chaparro, et al.
AIMS Mathematics (2024) Vol. 9, Iss. 2, pp. 3264-3288
Open Access | Times Cited: 8
Anomaly Detection and Artificial Intelligence Identified the Pathogenic Role of Apoptosis and RELB Proto-Oncogene, NF-kB Subunit in Diffuse Large B-Cell Lymphoma
Joaquim Carreras, Rifat Hamoudi
BioMedInformatics (2024) Vol. 4, Iss. 2, pp. 1480-1505
Open Access | Times Cited: 5
Hybrid wavelet-neural network models for time series
Deniz Kenan Kılıç, Ömür Uğur
Applied Soft Computing (2023) Vol. 144, pp. 110469-110469
Open Access | Times Cited: 11
CEGH: A Hybrid Model Using CEEMD, Entropy, GRU, and History Attention for Intraday Stock Market Forecasting
YI-JIAO LIU, Xinghua Liu, Yuxin Zhang, et al.
Entropy (2022) Vol. 25, Iss. 1, pp. 71-71
Open Access | Times Cited: 12
Scaling Exponents of Time Series Data: A Machine Learning Approach
Sebastian Raubitzek, Luiza Corpaci, Kevin Mallinger, et al.
(2023)
Open Access | Times Cited: 5
Scaling Exponents of Time Series Data: A Machine Learning Approach
Sebastian Raubitzek, Luiza Corpaci, Rebecca Hofer, et al.
Entropy (2023) Vol. 25, Iss. 12, pp. 1671-1671
Open Access | Times Cited: 5
High-Frequency Forecasting of Stock Volatility Based on Model Fusion and a Feature Reconstruction Neural Network
Zhiwei Shi, Zhifeng Wu, Shuaiwei Shi, et al.
Electronics (2022) Vol. 11, Iss. 23, pp. 4057-4057
Open Access | Times Cited: 3
Data Obfuscation for Privacy-Preserving Machine Learning using Quantum Symmetry Properties
Sebastian Raubitzek, Alexander Schatten, Sebastian Schrittwieser, et al.
(2024)
Open Access
Comparative Analysis of Machine Learning Models for Stock Price Prediction: Leveraging LSTM for Real-Time Forecasting
Bijay Gautam, Sanif Kandel, Manoj Shrestha, et al.
Journal of Computer and Communications (2024) Vol. 12, Iss. 08, pp. 52-80
Open Access
Thorough Exploratory Data Analysis (EDA) of a Market: A Case Study of Banking Stocks on the S&P 500
David Owor, Ishvah Nabimanya, Ken Abbott
(2024)
Closed Access
Влияние социальных факторов на динамику цен акций нефтяных компаний: анализ с использованием методов машинного обучения
Клепов И.В., Кочинев Ю.Ю., Шарафанова Е.Е., et al.
Modern Economy Success (2024), Iss. 6, pp. 239-245
Closed Access
Analyzing Stock Market with Machine Learning Techniques
Kirti Sharma, Rajni Bhalla
Lecture notes in electrical engineering (2023), pp. 199-208
Closed Access
The progress and state-of-art applications of machine learning for stock price prediction
Yixin Gong
BCP Business & Management (2022) Vol. 23, pp. 537-542
Open Access
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