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:

Harnessing a Hybrid CNN-LSTM Model for Portfolio Performance: A Case Study on Stock Selection and Optimization
Priya Singh, Manoj Jha, Mohamed Sharaf, et al.
IEEE Access (2023) Vol. 11, pp. 104000-104015
Closed Access | Times Cited: 16

Showing 16 citing articles:

Designing an efficient Deep Dyna Q based VARMAx Model for Prediction of Real-Time changes in Stock Value Patterns
Rachna Sable, Aman Pratap Singh, Sudhanshu Gupta, et al.
Research Square (Research Square) (2025)
Closed Access

Integrating IoT data and reinforcement learning for adaptive macroeconomic policy optimization
Cong Peng, Y X Zhang, Liheng Jiang
Alexandria Engineering Journal (2025) Vol. 119, pp. 222-231
Closed Access

Stock Market Index Prediction Using CEEMDAN‐LSTM‐BPNN‐Decomposition Ensemble Model
John Kamwele Mutinda, Abebe Geletu
Journal of Applied Mathematics (2025) Vol. 2025, Iss. 1
Open Access

Hybrid Data-Driven and Deep Learning Based Portfolio Optimization
Joy Dip Das, Sulalitha Bowala, Ruppa K. Thulasiram, et al.
Journal of Mathematical Finance (2024) Vol. 14, Iss. 03, pp. 271-310
Open Access | Times Cited: 1

Enhancing Stock Market Prediction: A Robust LSTM-DNN Model Analysis on 26 Real-Life Datasets
Khorshed Alam, Mahbubul Haq Bhuiyan, Injamam ul Haque, et al.
IEEE Access (2024) Vol. 12, pp. 122757-122768
Open Access | Times Cited: 1

Portfolio Optimization Using Novel EW-MV Method in Conjunction with Asset Preselection
Priya Singh, Manoj Jha
Computational Economics (2024) Vol. 64, Iss. 6, pp. 3683-3712
Closed Access

Stock Market Prediction Using Machine Learning - A Survey
Amal Punchihewa, Jolan Rodrigues, Rajat R. Naik, et al.
(2024), pp. 1-7
Closed Access

Predicting Myanmar Stock Market Trends Using Deep Learning: A Comparative Analysis
Kyaw Kyaw Khaing, Andrew Lewis
(2024), pp. 1-6
Closed Access

Comparative Analysis of LSTM and ARIMA Models in Stock Price Prediction: A Technology Company Example
Yasin KIRELLİ
Black Sea Journal of Engineering and Science (2024) Vol. 7, Iss. 5, pp. 866-873
Open Access

Enhancing Option Pricing Accuracy in the Indian Market: A CNN-BiLSTM Approach
A. Sharma, Chandan Kumar Verma, Priya Singh
Computational Economics (2024)
Closed Access

Stock Price Prediction Based on ARIMA-CNN-LSTM
其成 董
Software Engineering and Applications (2024) Vol. 13, Iss. 05, pp. 729-737
Closed Access

Stochastic Sentiment Analysis for Trading Signals Based on Financial News Headlines
Anurag Bahadur Singh, P. Mahalakshmi
(2024), pp. 1-5
Closed Access

Financial Assistant
Jeyadev Needhi, Ram Prasath G, Mohamed Riffath K, et al.
(2024)
Open Access

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