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:

Analysis and prediction of Indian stock market: a machine-learning approach
Shilpa Srivastava, Millie Pant, V. B. Gupta
International Journal of Systems Assurance Engineering and Management (2023) Vol. 14, Iss. 4, pp. 1567-1585
Closed Access | Times Cited: 8

Showing 8 citing articles:

A Predictive Model of the Stock Market Using the LSTM Algorithm with a Combination of Exponential Moving Average (EMA) and Relative Strength Index (RSI) Indicators
Rahul Maruti Dhokane, Sohit Agarwal
Journal of The Institution of Engineers (India) Series B (2024)
Closed Access | Times Cited: 1

A Novel Approach for Predict Stock Prices in Fusion of Investor's Sentiment and Stock Data
Harmanjeet Singh, Manisha Malhotra
(2023), pp. 1163-1169
Closed Access | Times Cited: 4

Stock price prediction with SCA-LSTM network and Statistical model ARIMA-GARCH
Homa Mehtarizadeh, N. Mansouri, Behnam Mohammad Hasani Zade, et al.
Research Square (Research Square) (2024)
Open Access

Predictive Analysis of Sleep Disorders Using Machine Learning: A Comprehensive Analysis
Nandini Malik, V. B. Gupta, Vandana Sharma
(2024) Vol. 12, pp. 1-4
Closed Access

COMPARATIVE ANALYSIS OF SELECTED TIME SERIES FORECASTING APPROACHES FOR INDIAN MARKETS
Ankit Tripathi, Arpit Tripathi, Oldřich Trenz, et al.
(2024) Vol. 1, pp. 167-186
Closed Access

A Comparative Analysis Study of Stock Prediction Based on Random Forest and Decision Tree
Yixiao Gu
2022 International Conference on Electronics and Devices, Computational Science (ICEDCS) (2024), pp. 96-100
Closed Access

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