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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:

Mixed data sampling expectile regression with applications to measuring financial risk
Qifa Xu, Lu Chen, Cuixia Jiang, et al.
Economic Modelling (2020) Vol. 91, pp. 469-486
Closed Access | Times Cited: 13

Showing 13 citing articles:

A novel mixed frequency sampling discrete grey model for forecasting hard disk drive failure
Rongxing Chen, Xinping Xiao, Mingyun Gao, et al.
ISA Transactions (2024) Vol. 147, pp. 304-327
Closed Access | Times Cited: 12
High-frequency Growth-at-Risk of China: the Role of Macro-financial Environment
Mengnan Xu, Qifa Xu, Cuixia Jiang, et al.
Computational Economics (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
Exploiting mixed-frequency characteristics in parametric Mean-Expected Shortfall portfolio selection
Shuting Liu, Sicheng Zhan, Yun Chen
Economic Modelling (2025), pp. 107072-107072
Closed Access
Modeling of Machine Learning-Based Extreme Value Theory in Stock Investment Risk Prediction: A Systematic Literature Review
Melina Melina, Sukono, Herlina Napitupulu, et al.
Big Data (2024)
Closed Access | Times Cited: 2
Mixed-frequency Growth-at-Risk with the MIDAS-QR method: Evidence from China
Qifa Xu, Mengnan Xu, Cuixia Jiang, et al.
Economic Systems (2023) Vol. 47, Iss. 4, pp. 101131-101131
Closed Access | Times Cited: 4
Forecasting expected shortfall and value at risk with a joint elicitable mixed data sampling model
Qifa Xu, Lu Chen, Cuixia Jiang, et al.
Journal of Forecasting (2021) Vol. 41, Iss. 3, pp. 407-421
Closed Access | Times Cited: 7
Systemic risk of China’s commercial banks during financial turmoils in 2010-2020: A MIDAS-QR based CoVaR approach
Shuting Liu, Qifa Xu, Cuixia Jiang
Applied Economics Letters (2020) Vol. 28, Iss. 18, pp. 1600-1609
Open Access | Times Cited: 4
THEORETICAL ASPECTS OF RISK MANAGEMENT MODELS IN ECONOMICS, MARKETING, FINANCE AND ACCOUNTING
Тетяна Косова, Serhii Smerichevskyi, Alla Ivashchenko, et al.
Financial and credit activity problems of theory and practice (2021) Vol. 3, Iss. 38, pp. 409-418
Open Access | Times Cited: 4
Monitoring China's Macroeconomic Risk in a Mixed-Frequency Environment: Based on a Novel Care-Midas Model
Shuting Liu, Qifa Xu, Liukai Wang
(2024)
Closed Access
High-frequency monitoring of China’s green growth-at-risk
Mengnan Xu, Qifa Xu, Shixiang Lü, et al.
Environmental Science and Pollution Research (2023)
Closed Access | Times Cited: 1
Expectile regression forest: A new nonparametric expectile regression model
Chao Cai, Haotian Dong, Xinyi Wang
Expert Systems (2022) Vol. 40, Iss. 1
Closed Access
Riesgo financiero para las empresas listadas en la bolsa de valores de lima entre 2016 y 2018 / Financial risk for companies listed on thelima stock exchange between 2016 and 2018
Jairo Toro Díaz, Jairo Giraldo Hoyos
Brazilian Journal of Business (2021) Vol. 3, Iss. 3, pp. 2211-2227
Open Access
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