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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:

Man versus Machine Learning: The Term Structure of Earnings Expectations and Conditional Biases
Jules H. van Binsbergen, Xiao Han, Alejandro Lopez-Lira
Review of Financial Studies (2022) Vol. 36, Iss. 6, pp. 2361-2396
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Does Alternative Data Improve Financial Forecasting? The Horizon Effect
Olivier Dessaint, Thierry Foucault, Laurent Frésard
The Journal of Finance (2024) Vol. 79, Iss. 3, pp. 2237-2287
Open Access | Times Cited: 34
From Man vs. Machine to Man + Machine: The art and AI of stock analyses
Sean Cao, Wei Jiang, Junbo L. Wang, et al.
Journal of Financial Economics (2024) Vol. 160, pp. 103910-103910
Closed Access | Times Cited: 29
FinTech: a literature review of emerging financial technologies and applications
Gang Kou, Yang Lu
Financial Innovation (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 4
Noise in Expectations: Evidence from Analyst Forecasts
Tim de Silva, David Thesmar
Review of Financial Studies (2023) Vol. 37, Iss. 5, pp. 1494-1537
Closed Access | Times Cited: 20
The Promise and Peril of Generative AI: Evidence from ChatGPT as Sell-Side Analysts
Edward Xuejun Li, Zhiyuan Tu, Dexin Zhou
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 18
Estimating Stock Market Betas via Machine Learning
Wolfgang Drobetz, Fabian Hollstein, Tizian Otto, et al.
Journal of Financial and Quantitative Analysis (2024), pp. 1-37
Closed Access | Times Cited: 7
Glass Box Machine Learning and Corporate Bond Returns
Steven L. Bell, Ali Kakhbod, Martin Lettau, et al.
SSRN Electronic Journal (2025)
Closed Access
Can Third-Party Brand Value Estimates Help Predict Cash Flows? A Machine-Learning Analysis
Marie Dutordoir, Oliver Hegers, João Quariguasi Frota Neto, et al.
European Accounting Review (2025), pp. 1-31
Closed Access
Evaluating Artificial Intelligence Superiority Over ARIMA in Forecasting Interest Rates and Corporate Bond Pricing
Ayush Jadagoudar
(2025)
Closed Access
Can ChatGPT reduce human financial analysts’ optimistic biases?
Xiaoyang Li, Haoming Feng, Hailong Yang, et al.
Economic and Political Studies (2023) Vol. 12, Iss. 1, pp. 20-33
Open Access | Times Cited: 11
Do Trades and Holdings of Market Participants Contain Information About Stocks? A Machine-Learning Approach
Victor DeMiguel, Li Guo, Bo Sang, et al.
(2025)
Closed Access
Overnight vs. Intraday Returns: Investor Disagreement, Information Uncertainty, and Future Stock Returns
Richard Harris, Nan Li, Nicholas Taylor
(2025)
Closed Access
Investor sentiment and the risk–return relation: A two‐in‐one approach
Darren Duxbury, Wenzhao Wang
European Financial Management (2023) Vol. 30, Iss. 1, pp. 496-543
Open Access | Times Cited: 10
Mutual Fund Risk Shifting and Risk Anomalies
Xiao Han, Nikolai Roussanov, Hongxun Ruan
SSRN Electronic Journal (2021)
Closed Access | Times Cited: 16
When Crowds Aren't Wise: Biased Social Networks and its Price Impact
Edna Lopez Avila, Charles Martineau, Jordi Mondria
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 6
From Man vs. Machine to Man + Machine: The Art and AI of Stock Analyses
Sean Cao, Wei Jiang, Junbo L. Wang, et al.
SSRN Electronic Journal (2021)
Closed Access | Times Cited: 11
Sparse Modeling Under Grouped Heterogeneity with an Application to Asset Pricing
Lin William Cong, Guanhao Feng, Jingyu He, et al.
(2023)
Open Access | Times Cited: 4
The Divergence of Street from GAAP Earnings and Stock Mispricing
Shuwen Yang, Zhiting Wu
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 1
Improving the prediction of firm performance using nonfinancial disclosures: a machine learning approach
Usman Sufi, Arshad Hasan, Khaled Hussainey
Journal of Accounting in Emerging Economies (2024) Vol. 14, Iss. 5, pp. 1223-1251
Closed Access | Times Cited: 1
Heterogeneous impact of cost of carry on corporate money demand
Hadi Movaghari, Georgios Sermpinis
European Financial Management (2024)
Open Access | Times Cited: 1
AI and Bond Values: How Large Language Models Predict Default Signals
Moazzam Khoja
(2024)
Closed Access | Times Cited: 1
Estimating Security Betas via Machine Learning
Wolfgang Drobetz, Fabian Hollstein, Tizian Otto, et al.
SSRN Electronic Journal (2021)
Closed Access | Times Cited: 10
Uncommon Factors for Bayesian Asset Clusters
Lin William Cong, Guanhao Feng, Jingyu He, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 7
What Should Investors Care About? Mutual Fund Ratings by Analysts vs. Machine Learning Technique
Si Cheng, Ruichang Lu, Xiao‐Jun Zhang
SSRN Electronic Journal (2020)
Closed Access | Times Cited: 8
The Cross-section of Subjective Expectations: Understanding Prices and Anomalies
Ricardo De la O, Xiao Han, Sean Myers
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 5
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