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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 prices of fintech companies of India using random forest with high-frequency data
Bharat Kumar Meher, Manohar Singh, Ramona Birău, et al.
Journal of Open Innovation Technology Market and Complexity (2023) Vol. 10, Iss. 1, pp. 100180-100180
Open Access | Times Cited: 16

Showing 16 citing articles:

Customer churn prediction in imbalanced datasets with resampling methods: A comparative study
Seyed Jamal Haddadi, Aida Farshidvard, Fillipe dos Santos Silva, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123086-123086
Closed Access | Times Cited: 14
Artificial neural network, machine learning modelling of compressive strength of recycled coarse aggregate based self-compacting concrete
P. Jagadesh, Afzal Husain Khan, B. Shanmuga Priya, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0303101-e0303101
Open Access | Times Cited: 4
Classifying chronic kidney disease using selected machine learning techniques
Abrahem P. Anqui
International Journal of ADVANCED AND APPLIED SCIENCES (2025) Vol. 12, Iss. 2, pp. 72-79
Open Access
Forecasting Multivariate Time Series with Trend and Seasonality: A Random Forest Approach
Zahira Marzak, Rajaa Benabbou, Salma Mouatassim, et al.
Communications in computer and information science (2025), pp. 128-144
Closed Access
Mapping stock market dynamics: A tripartite neural network approach using modified grid search for stock market prediction
Sachin Singh, Mohinder Singh, Shradha Attri
Expert Systems with Applications (2025), pp. 127243-127243
Closed Access
Forecasting Used Car Prices Using Machine Learning
Eni Khusnul Khotimah, Dwiretno Istiyadi Swasono, Gama Wisnu Fajarianto
IT JOURNAL RESEARCH AND DEVELOPMENT (2025) Vol. 9, Iss. 2, pp. 123-139
Open Access
Modeling high-frequency financial data using R and Stan: A bayesian autoregressive conditional duration approach
Mosab I. Tabash, Tigselema Navas, P. V. Thayyib, et al.
Journal of Open Innovation Technology Market and Complexity (2024) Vol. 10, Iss. 2, pp. 100249-100249
Open Access | Times Cited: 2
A Hybrid Data Envelopment Analysis–Random Forest Methodology for Evaluating Green Innovation Efficiency in an Asymmetric Environment
Limei Chen, Xiaohan Xie, Yao Yao, et al.
Symmetry (2024) Vol. 16, Iss. 8, pp. 960-960
Open Access | Times Cited: 2
Effectiveness of Random Forest Model in Predicting Stock Prices of Solar Energy Companies in India
Bharat Kumar Meher, Manohar Singh, Ramona Birău, et al.
International Journal of Energy Economics and Policy (2024) Vol. 14, Iss. 2, pp. 426-434
Open Access | Times Cited: 1
An Open Innovative Inventory Management Based Demand Forecasting Approach for the Steel Industry
Nonthaphat Sukolkit, Sirawadee Arunyanart, Arthit Apichottanakul
Journal of Open Innovation Technology Market and Complexity (2024), pp. 100407-100407
Open Access | Times Cited: 1
<span>Effectiveness of Random Forest Model in Predicting Stock Prices of Solar Energy Companies in India</span>
Bharat Kumar Meher, Abhishek Anand, Sunil Kumar, et al.
SSRN Electronic Journal (2024)
Closed Access
Stock Return Prediction under US Federal Funds Rate Hike Based on Supervised Machine Learning
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Advances in Economics Management and Political Sciences (2024) Vol. 111, Iss. 1, pp. 1-9
Open Access
Forecasting Foreign Direct Investment Inflow to Bangladesh: Using an Autoregressive Integrated Moving Average and a Machine Learning-Based Random Forest Approach
Md. Monirul Islam, Arifa Jannat, Kentaka Aruga, et al.
Journal of risk and financial management (2024) Vol. 17, Iss. 10, pp. 451-451
Open Access
Performance of Indebted Companies Using a Machine Learning Approach
S Vinoth, Gopalakrishnan Chinnasamy, Tamanna Dalwai
Springer proceedings in business and economics (2024), pp. 321-340
Closed Access
Deep Neural Network Model Enhanced with Data Preparation for the Directional Predictability of Multi-Stock Returns
Samak Boonpan, Weerachai Sarakorn
Journal of Open Innovation Technology Market and Complexity (2024), pp. 100438-100438
Open Access
Research on Prediction of ChiNext and Blue-Chip Stocks in the Chinese Stock Market Based on Random Forest Algorithm
Guosheng Xie, Lei Yang, Liwei Tian, et al.
Frontiers in artificial intelligence and applications (2024)
Open Access
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