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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:

Volatility Modeling of Stocks from Selected Sectors of the Indian Economy Using GARCH
Jaydip Sen, Sidra Mehtab, Abhishek Dutta
2021 Asian Conference on Innovation in Technology (ASIANCON) (2021), pp. 1-9
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Stock Portfolio Optimization Using a Deep Learning LSTM Model
Jaydip Sen, Abhishek Dutta, Sidra Mehtab
2021 IEEE Mysore Sub Section International Conference (MysuruCon) (2021), pp. 263-271
Open Access | Times Cited: 31
Long‐and‐Short‐Term Memory (LSTM) NetworksArchitectures and Applications in Stock Price Prediction
Jaydip Sen, Sidra Mehtab
(2022), pp. 143-160
Closed Access | Times Cited: 21
Portfolio Optimization Using Reinforcement Learning and Hierarchical Risk Parity Approach
Jaydip Sen
Studies in big data (2023), pp. 509-554
Closed Access | Times Cited: 9
A Comparative Study of Hierarchical Risk Parity Portfolio and Eigen Portfolio on the NIFTY 50 Stocks
Jaydip Sen, Abhishek Dutta
Lecture notes on data engineering and communications technologies (2022), pp. 443-460
Closed Access | Times Cited: 14
Hierarchical Risk Parity and Minimum Variance Portfolio Design on NIFTY 50 Stocks
Jaydip Sen, Sidra Mehtab, Abhishek Dutta, et al.
2021 International Conference on Decision Aid Sciences and Application (DASA) (2021), pp. 668-675
Open Access | Times Cited: 18
Design and Analysis of Optimized Portfolios for Selected Sectors of the Indian Stock Market
Jaydip Sen, Abhishek Dutta
2022 International Conference on Decision Aid Sciences and Applications (DASA) (2022), pp. 567-573
Open Access | Times Cited: 11
Risk-Based Portfolio Optimization on Some Selected Sectors of the Indian Stock Market
Jaydip Sen, Abhishek Dutta
Lecture notes in electrical engineering (2023), pp. 765-778
Closed Access | Times Cited: 5
Robust Portfolio Design and Stock Price Prediction Using an Optimized LSTM Model
Jaydip Sen, Saikat Mondal, Gourab Nath
2021 IEEE 18th India Council International Conference (INDICON) (2021), pp. 1-6
Open Access | Times Cited: 12
Novel grey wolf optimizer based parameters selection for GARCH and ARIMA models for stock price prediction
Sneha S. Bagalkot, Dinesha H. A, Nagaraj Naik
PeerJ Computer Science (2024) Vol. 10, pp. e1735-e1735
Open Access | Times Cited: 1
Stock Volatility Prediction using Time Series and Deep Learning Approach
Ananda Chatterjee, Hrisav Bhowmick, Jaydip Sen
2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon) (2022), pp. 1-6
Open Access | Times Cited: 7
COVID-19 Pandemic and Indices Volatility: Evidence from GARCH Models
Rajesh Mamilla, Chinnadurai Kathiravan, Aidin Salamzadeh, et al.
Journal of risk and financial management (2023) Vol. 16, Iss. 10, pp. 447-447
Open Access | Times Cited: 3
Analysis of Sectoral Profitability of the Indian Stock Market Using an LSTM Regression Model
Jaydip Sen, Saikat Mondal, Sidra Mehtab
(2021)
Open Access | Times Cited: 6
A Performance Analysis of Technical Indicators on the Indian Stock Market
Jaydip Sen, Hetvi Waghela, Sneha Rakshit
(2024)
Open Access
A Stochastic Regression and Sentiment Analysis-Based Approach for Forecasting Trends in the Stock Market
Lalita Verma
Deleted Journal (2024) Vol. 20, Iss. 2, pp. 2641-2660
Open Access
Asymmetric Return Connectedness Among Indian Equity Sectors: Insights from Recent Global Disruptions
Pratibha Kushwaah, Jacqueline Symss
Global Business Review (2024)
Closed Access
A Hybrid GARCH and Deep Learning Method for Volatility Prediction
H. Araya, Jane Aduda, Tesfahun Berhane
Journal of Applied Mathematics (2024) Vol. 2024, Iss. 1
Open Access
A Performance Analysis of Technical Indicators on the Indian Stock Market
Hetvi Waghela, Jaydip Sen, Sneha Rakshit
Intelligent systems reference library (2024), pp. 457-501
Closed Access
Deep Learning - Recent Findings and Research [Working Title]

Artificial intelligence (2023)
Closed Access | Times Cited: 1
Portfolio Optimization: A Comparative Study
Jaydip Sen, Subhasis Dasgupta
Artificial intelligence (2023)
Open Access | Times Cited: 1
Analysis of Sectoral Profitability of the Indian Stock Market Using an LSTM Regression Model
Jaydip Sen, Saikat Mondal, Sidra Mehtab
(2021)
Open Access | Times Cited: 3
Portfolio Optimization for the Indian Stock Market
Jaydip Sen, Abhishek Dutta
IGI Global eBooks (2022), pp. 1904-1951
Closed Access | Times Cited: 2
A Cointegration and Clustering-based Approach to Pair Trading of Stocks from Selected Sectors of the Indian Stock Market
A. K. Sahu, Anirudh P. Singh, Ashutosh Pradhan, et al.
(2023)
Open Access
A Cointegration and Clustering-based Approach to Pair Trading of Stocks from Selected Sectors of the Indian Stock Market
A. K. Sahu, Anirudh P. Singh, Ashutosh Pradhan, et al.
(2023)
Open Access
Comprehensive Prediction of Stock Prices Using Time Series, Statistical, Machine Learning, and Deep Learning Models
Jaydip Sen, Abhishek Kumar, Aji Thomas, et al.
(2023)
Open Access
Comprehensive Prediction of Stock Prices Using Time Series, Statistical, Machine Learning, and Deep Learning Models
Jaydip Sen, Abhishek Kumar, Aji Thomas, et al.
(2023)
Open Access
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