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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:

Empirical Asset Pricing via Machine Learning
Shihao Gu, Bryan Kelly, Dacheng Xiu
Review of Financial Studies (2020) Vol. 33, Iss. 5, pp. 2223-2273
Open Access | Times Cited: 1399

Showing 1-25 of 1399 citing articles:

Forecasting: theory and practice
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, et al.
International Journal of Forecasting (2022) Vol. 38, Iss. 3, pp. 705-871
Open Access | Times Cited: 551
Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis
John W. Goodell, Satish Kumar, Weng Marc Lim, et al.
Journal of Behavioral and Experimental Finance (2021) Vol. 32, pp. 100577-100577
Closed Access | Times Cited: 480
A Survey on Machine Learning Techniques for Cyber Security in the Last Decade
Kamran Shaukat, Suhuai Luo, Vijay Varadharajan, et al.
IEEE Access (2020) Vol. 8, pp. 222310-222354
Open Access | Times Cited: 349
Machine learning in the Chinese stock market
Markus Leippold, Qian Wang, Wenyu Zhou
Journal of Financial Economics (2021) Vol. 145, Iss. 2, pp. 64-82
Open Access | Times Cited: 328
Autoencoder asset pricing models
Shihao Gu, Bryan Kelly, Dacheng Xiu
Journal of Econometrics (2020) Vol. 222, Iss. 1, pp. 429-450
Closed Access | Times Cited: 312
Bond Risk Premiums with Machine Learning
Daniele Bianchi, Matthias Büchner, Andrea Tamoni
Review of Financial Studies (2020) Vol. 34, Iss. 2, pp. 1046-1089
Open Access | Times Cited: 298
Riding the FinTech innovation wave: FinTech, patents and bank performance
Jinsong Zhao, Xinghao Li, Chin‐Hsien Yu, et al.
Journal of International Money and Finance (2021) Vol. 122, pp. 102552-102552
Closed Access | Times Cited: 269
Machine learning advances for time series forecasting
Ricardo Masini, Marcelo C. Medeiros, Eduardo Mendes
Journal of Economic Surveys (2021) Vol. 37, Iss. 1, pp. 76-111
Open Access | Times Cited: 244
Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models
Alejandro Lopez-Lira, Yuehua Tang
SSRN Electronic Journal (2023)
Open Access | Times Cited: 221
Deep Learning in Asset Pricing
Luyang Chen, Markus Pelger, Jason Zhu
Management Science (2023) Vol. 70, Iss. 2, pp. 714-750
Open Access | Times Cited: 210
Investor Attention and Stock Returns
Jian Chen, Guohao Tang, Jiaquan Yao, et al.
Journal of Financial and Quantitative Analysis (2021) Vol. 57, Iss. 2, pp. 455-484
Closed Access | Times Cited: 183
Scaled PCA: A New Approach to Dimension Reduction
Dashan Huang, Fuwei Jiang, Kunpeng Li, et al.
Management Science (2021) Vol. 68, Iss. 3, pp. 1678-1695
Open Access | Times Cited: 163
Anomalies and the Expected Market Return
Xi Dong, Yan Li, David E. Rapach, et al.
The Journal of Finance (2021) Vol. 77, Iss. 1, pp. 639-681
Closed Access | Times Cited: 135
A picture is worth a thousand words: Measuring investor sentiment by combining machine learning and photos from news
Khaled Obaid, Kuntara Pukthuanthong
Journal of Financial Economics (2021) Vol. 144, Iss. 1, pp. 273-297
Closed Access | Times Cited: 125
Short-term bitcoin market prediction via machine learning
Patrick Jaquart, David Dann, Christof Weinhardt
The Journal of Finance and Data Science (2021) Vol. 7, pp. 45-66
Open Access | Times Cited: 123
Cybersecurity Risk
Chris Florackis, Christodoulos Louca, Roni Michaely, et al.
Review of Financial Studies (2022) Vol. 36, Iss. 1, pp. 351-407
Closed Access | Times Cited: 119
How is machine learning useful for macroeconomic forecasting?
Philippe Goulet Coulombe, Maxime Leroux, Dalibor Stevanović, et al.
Journal of Applied Econometrics (2022) Vol. 37, Iss. 5, pp. 920-964
Open Access | Times Cited: 117
Quantum computing for finance
Dylan Herman, Cody Googin, Xiaoyuan Liu, et al.
Nature Reviews Physics (2023) Vol. 5, Iss. 8, pp. 450-465
Closed Access | Times Cited: 109
Machine Learning vs. Economic Restrictions: Evidence from Stock Return Predictability
Doron Avramov, Si Cheng, Lior Metzker
Management Science (2022) Vol. 69, Iss. 5, pp. 2587-2619
Closed Access | Times Cited: 108
Option Return Predictability with Machine Learning and Big Data
Turan G. Bali, Heiner Beckmeyer, Mathis Mörke, et al.
Review of Financial Studies (2023) Vol. 36, Iss. 9, pp. 3548-3602
Closed Access | Times Cited: 100
Operational research and artificial intelligence methods in banking
Michael Doumpos, Constantin Zopounidis, Dimitrios Gounopoulos, et al.
European Journal of Operational Research (2022) Vol. 306, Iss. 1, pp. 1-16
Open Access | Times Cited: 96
Factor Models, Machine Learning, and Asset Pricing
Stefano Giglio, Bryan Kelly, Dacheng Xiu
Annual Review of Financial Economics (2022) Vol. 14, Iss. 1, pp. 337-368
Closed Access | Times Cited: 96
A Machine Learning Approach to Volatility Forecasting
Kim Christensen, Mathias Siggaard, Bezirgen Veliyev
Journal of Financial Econometrics (2022) Vol. 21, Iss. 5, pp. 1680-1727
Open Access | Times Cited: 90
Predicting Future Earnings Changes Using Machine Learning and Detailed Financial Data
XI CHEN, YANG HA CHO, Yiwei Dou, et al.
Journal of Accounting Research (2022) Vol. 60, Iss. 2, pp. 467-515
Closed Access | Times Cited: 89
Modeling Corporate Bond Returns
Bryan Kelly, DIOGO PALHARES, SETH PRUITT
The Journal of Finance (2023) Vol. 78, Iss. 4, pp. 1967-2008
Closed Access | Times Cited: 88
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