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:

Can dimensional reduction technology make better use of the information of uncertainty indices when predicting volatility of Chinese crude oil futures?
Xiang Yan, Jiancheng Bai, Xiafei Li, et al.
Resources Policy (2021) Vol. 75, pp. 102521-102521
Closed Access | Times Cited: 25

Showing 25 citing articles:

Forecasting crude oil volatility with uncertainty indicators: New evidence
Xiafei Li, Chao Liang, Zhonglu Chen, et al.
Energy Economics (2022) Vol. 108, pp. 105936-105936
Closed Access | Times Cited: 53

Forecasting crude oil futures price using machine learning methods: Evidence from China
Lili Guo, Xinya Huang, Yanjiao Li, et al.
Energy Economics (2023) Vol. 127, pp. 107089-107089
Closed Access | Times Cited: 25

A new feature selection method based on importance measures for crude oil return forecasting
Yuan Zhao, Yaohui Huang, Zhijin Wang, et al.
Neurocomputing (2024) Vol. 581, pp. 127470-127470
Open Access | Times Cited: 5

Uncertainty index and stock volatility prediction: evidence from international markets
Xue Gong, Weiguo Zhang, Weijun Xu, et al.
Financial Innovation (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 26

Can the ecological environment reverse feed renewable energy technology innovation? -- Heterogeneity test from the Yangtze River Economic Belt
Xiang Yan, Jiancheng Bai, Yueyan Zhang, et al.
Renewable Energy (2022) Vol. 195, pp. 1381-1392
Closed Access | Times Cited: 25

INE oil futures volatility prediction: Exchange rates or international oil futures volatility?
Xinjie Lu, Feng Ma, Haibo Li, et al.
Energy Economics (2023) Vol. 126, pp. 106935-106935
Closed Access | Times Cited: 12

Enhancing portfolio management using artificial intelligence: literature review
Kristina Šutienė, Peter Schwendner, Ciprian Șipoș, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 4

Forecasting gold volatility with geopolitical risk indices
Xiafei Li, Qiang Guo, Chao Liang, et al.
Research in International Business and Finance (2022) Vol. 64, pp. 101857-101857
Closed Access | Times Cited: 20

Forecasting China's crude oil futures volatility: How to dig out the information of other energy futures volatilities?
Daxiang Jin, Mengxi He, Lü Xing, et al.
Resources Policy (2022) Vol. 78, pp. 102852-102852
Closed Access | Times Cited: 19

Navigating Choppy Waters: Interplay between Financial Stress and Commodity Market Indices
Haji Ahmed, Faheem Aslam, Paulo Ferreira
Fractal and Fractional (2024) Vol. 8, Iss. 2, pp. 96-96
Open Access | Times Cited: 3

Comparative resource-environment-economy assessment of coal- and oil-based aromatics production
Junjie Li, Yueling Zhang, Yanli Yang, et al.
Resources Policy (2022) Vol. 77, pp. 102629-102629
Closed Access | Times Cited: 17

Dynamic and frequency-domain spillover among within and cross-country policy uncertainty, crude oil and gold market: Evidence from US and China
Jianbai Huang, Xuesong Dong, Hongwei Zhang, et al.
Resources Policy (2022) Vol. 78, pp. 102938-102938
Closed Access | Times Cited: 17

The role of categorical EPU indices in predicting stock-market returns
Juan Chen, Feng Ma, Xuemei Qiu, et al.
International Review of Economics & Finance (2023) Vol. 87, pp. 365-378
Closed Access | Times Cited: 8

Comparative life cycle energy, water consumption and carbon emissions analysis of deep in-situ gasification based coal-to-hydrogen with carbon capture and alternative routes
Huan Liu, Wei Guo, Zheng Fan, et al.
Journal of Cleaner Production (2023) Vol. 426, pp. 139129-139129
Closed Access | Times Cited: 7

Are categorical EPU indices predictable for carbon futures volatility? Evidence from the machine learning method
Xiaozhu Guo, Dengshi Huang, Xiafei Li, et al.
International Review of Economics & Finance (2022) Vol. 83, pp. 672-693
Closed Access | Times Cited: 11

Global economic uncertainty and the Chinese stock market: Assessing the impacts of global indicators
Lixia Zhang, Jiancheng Bai, Yueyan Zhang, et al.
Research in International Business and Finance (2023) Vol. 65, pp. 101949-101949
Closed Access | Times Cited: 5

Forecasting Chinese crude oil futures volatility: New evidence based on dual feature processing of large‐scale variables
Gaoxiu Qiao, Yijun Pan, Chao Liang, et al.
Journal of Forecasting (2024) Vol. 43, Iss. 7, pp. 2495-2521
Closed Access | Times Cited: 1

Forecasting crude oil prices: A reduced-rank approach
Yixuan Song, Mengxi He, Yudong Wang, et al.
International Review of Economics & Finance (2023) Vol. 88, pp. 698-711
Closed Access | Times Cited: 3

Enhancing exchange rate volatility prediction accuracy: Assessing the influence of different indices on the USD/CNY exchange rate
Tao Luo, Lixia Zhang, Huaping Sun, et al.
Finance research letters (2023) Vol. 58, pp. 104483-104483
Closed Access | Times Cited: 2

China Crude Oil Futures Volatility Forecasting Using LSTM Model with Optimal Noise Decomposition
Wei Jiang, Wanqing Tang, Huizhi Liu, et al.
Discrete Dynamics in Nature and Society (2024) Vol. 2024, Iss. 1
Open Access

Predicting Multi-Frequency Crude Oil Price Dynamics: Based on MIDAS and STL Methods
Lili Ding, Haoran Zhao, Rui Zhang
Energy (2024), pp. 134003-134003
Closed Access

Forecasting volatility in Chinese crude oil futures: insights from volatility-of-volatility and Markov regime-switching approaches
Gaoxiu Qiao, Yijun Pan, Chao Liang
Quantitative Finance (2024) Vol. 24, Iss. 12, pp. 1839-1856
Closed Access

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