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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:

Asset pricing with neural networks: Significance tests
Hasan Fallahgoul, Vincentius Franstianto, Xin Lin
Journal of Econometrics (2023) Vol. 238, Iss. 1, pp. 105574-105574
Open Access | Times Cited: 13

Showing 13 citing articles:

Glass Box Machine Learning and Corporate Bond Returns
Steven L. Bell, Ali Kakhbod, Martin Lettau, et al.
SSRN Electronic Journal (2025)
Closed Access
A Target Permutation Test for Statistical Significance of Feature Importance in Differentiable Models
Sanad Biswas, Nina Grundlingh, Jonathan Boardman, et al.
Electronics (2025) Vol. 14, Iss. 3, pp. 571-571
Open Access
Scale-Insensitive Neural Network Significance Tests
Hasan Fallahgoul
(2025)
Closed Access
Statistical inference for generative adversarial networks and other minimax problems
Mika Meitz
Scandinavian Journal of Statistics (2024) Vol. 51, Iss. 3, pp. 1323-1356
Open Access | Times Cited: 1
Edge-centric optimization: a novel strategy for minimizing information loss in graph-to-text generation
Yao Zheng, Jingyuan Li, Jianhe Cen, et al.
Complex & Intelligent Systems (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Maximally Machine-Learnable Portfolios
Philippe Goulet Coulombe, Maximilian Göbel
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 2
Estimation and Inference for a Class of Generalized Hierarchical Models
Chaohua Dong, Jiti Gao, Bin Peng, et al.
(2024)
Open Access
Security Risk Analysis and Price Predictions with Machine and Deep Learning Models (LSTM)
Muhammad Mehdi Muhammad Mehdi, Inam Ul Haq, Atif Ikram Atif Ikram
Journal of Innovative Computing and Emerging Technologies (2024) Vol. 4, Iss. 1
Open Access
Asymptotic Properties of ReLU FFN Sieve Estimators
Frank J. Fabozzi, Hasan Fallahgoul, Vincentius Franstianto, et al.
Studies in Nonlinear Dynamics and Econometrics (2024)
Closed Access
A long short-term memory enhanced realized conditional heteroskedasticity model
Chen Liu, Chao Wang, Minh‐Ngoc Tran, et al.
Economic Modelling (2024) Vol. 142, pp. 106922-106922
Open Access
Counterfactual Predictions in Shared Markets: A Global Forecasting Approach with Deep Learning and Spillover Considerations
Priscila Grecov, Klaus Ackermann, Christoph Bergmeir
SSRN Electronic Journal (2024)
Closed Access
Towards Explaining the ReLU Feed-Forward Network
Frank J. Fabozzi, Hasan Fallahgoul, Vincentius Franstianto, et al.
SSRN Electronic Journal (2019)
Closed Access | Times Cited: 3
Estimation of Semiparametric Multi-Index Models Using Deep Neural Networks
Chaohua Dong, Jiti Gao, Bin Peng, et al.
SSRN Electronic Journal (2023)
Closed Access
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