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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:

Explainable Machine Learning Exploiting News and Domain-Specific Lexicon for Stock Market Forecasting
Salvatore Carta, Sergio Consoli, Luca Piras, et al.
IEEE Access (2021) Vol. 9, pp. 30193-30205
Open Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Machine learning techniques and data for stock market forecasting: A literature review
Mahinda Mailagaha Kumbure, Christoph Lohrmann, Pasi Luukka, et al.
Expert Systems with Applications (2022) Vol. 197, pp. 116659-116659
Open Access | Times Cited: 301
Applications of Explainable Artificial Intelligence in Finance—a systematic review of Finance, Information Systems, and Computer Science literature
Patrick Weber, K. Valerie Carl, Oliver Hinz
Management Review Quarterly (2023) Vol. 74, Iss. 2, pp. 867-907
Open Access | Times Cited: 95
Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda
Ritika Chopra, Gagan Deep Sharma
Journal of risk and financial management (2021) Vol. 14, Iss. 11, pp. 526-526
Open Access | Times Cited: 64
Interpretable stock price forecasting model using genetic algorithm-machine learning regressions and best feature subset selection
Kyung Keun Yun, Sang Won Yoon, Daehan Won
Expert Systems with Applications (2022) Vol. 213, pp. 118803-118803
Closed Access | Times Cited: 49
Applications of Artificial Intelligence in the Economy, Including Applications in Stock Trading, Market Analysis, and Risk Management
Amir Masoud Rahmani, Bahareh Rezazadeh, Majid Haghparast, et al.
IEEE Access (2023) Vol. 11, pp. 80769-80793
Open Access | Times Cited: 22
Explainable artificial intelligence (XAI) in finance: a systematic literature review
Jurgita Černevičienė, Audrius Kabašinskas
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 11
Trust in AI: progress, challenges, and future directions
Saleh Afroogh, Ali Akbari, Emmie Malone, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 9
Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models
Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 4304-4315
Open Access | Times Cited: 8
Utilizing Ensemble Learning and Dimension Reduction in Predicting Stock Prices: A Transparent Methodology with Insights from Explainable AI
Nabanita Das, Bikash Sadhukhan, Chayan Ghosh, et al.
SN Computer Science (2025) Vol. 6, Iss. 1
Closed Access
Hierarchical risk parity: Efficient implementation and real world analysis
Dario Deković, Petra Posedel
Future Generation Computer Systems (2025) Vol. 167, pp. 107744-107744
Closed Access
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: 30
PEN: Prediction-Explanation Network to Forecast Stock Price Movement with Better Explainability
Shuqi Li, Weiheng Liao, Yu‐Han Chen, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 4, pp. 5187-5194
Open Access | Times Cited: 10
A Machine Learning Approach to Modeling Intrinsic Parameter Fluctuation of Gate-All-Around Si Nanosheet MOSFETs
Rajat Butola, Yiming Li, Sekhar Reddy Kola
IEEE Access (2022) Vol. 10, pp. 71356-71369
Open Access | Times Cited: 18
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
Explainable AI for Financial Forecasting
Salvatore Carta, Alessandro Sebastian Podda, Diego Reforgiato Recupero, et al.
Lecture notes in computer science (2022), pp. 51-69
Closed Access | Times Cited: 12
Introducing an Interpretable Deep Learning Approach to Domain-Specific Dictionary Creation: A Use Case for Conflict Prediction
Sonja Häffner, Martin Hofer, Maximilian Nagl, et al.
Political Analysis (2023) Vol. 31, Iss. 4, pp. 481-499
Open Access | Times Cited: 7
Recent Applications of Explainable AI (XAI): A Systematic Literature Review
Mirka Saarela, Vili Podgorelec
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8884-8884
Open Access | Times Cited: 2
Sentiment-aware jump forecasting
Shaoyu Li, Kaixuan Ning, Teng Zhang
Knowledge-Based Systems (2021) Vol. 228, pp. 107292-107292
Closed Access | Times Cited: 17
Statistical arbitrage powered by Explainable Artificial Intelligence
Salvatore Carta, Sergio Consoli, Alessandro Sebastian Podda, et al.
Expert Systems with Applications (2022) Vol. 206, pp. 117763-117763
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
Nowcasting inflation with Lasso‐regularized vector autoregressions and mixed frequency data
Tesi Aliaj, Milos Ciganovic, Massimiliano Tancioni
Journal of Forecasting (2023) Vol. 42, Iss. 3, pp. 464-480
Open Access | Times Cited: 5
Towards interpretable stock trend prediction through causal inference
Yiqi Deng, Yuzhi Liang, Siu‐Ming Yiu
Expert Systems with Applications (2023) Vol. 238, pp. 121654-121654
Closed Access | Times Cited: 5
Forecasting financial signal for automated trading: An interpretable approach
Mohammad Reza Roostaee, Ahmad Ali Abin
Expert Systems with Applications (2022) Vol. 211, pp. 118570-118570
Closed Access | Times Cited: 8
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