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:

A bi‐level ensemble learning approach to complex time series forecasting: Taking exchange rates as an example
Jun Hao, Qian Feng, Jianping Li, et al.
Journal of Forecasting (2023) Vol. 42, Iss. 6, pp. 1385-1406
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

A dynamic clustering ensemble learning approach for crude oil price forecasting
Jiaxin Yuan, Jianping Li, Jun Hao
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106408-106408
Closed Access | Times Cited: 22

A deterministic and probabilistic hybrid model for wind power forecasting based improved feature screening and optimal Gaussian mixed kernel function
Jujie Wang, Xudong Tang, Weiyi Jiang
Expert Systems with Applications (2024) Vol. 251, pp. 123965-123965
Closed Access | Times Cited: 7

Causal carbon price interval prediction using lower upper bound estimation combined with asymmetric multi-objective evolutionary algorithm and long short-term memory
Jujie Wang, Maolin He, Weiyi Jiang
Expert Systems with Applications (2023) Vol. 236, pp. 121286-121286
Closed Access | Times Cited: 19

The impact of readability of risk disclosures in bond prospectuses on credit risk premium
Yanzhen Yao, Lu Wei, Haozhe Jing, et al.
Research in International Business and Finance (2024) Vol. 70, pp. 102310-102310
Closed Access | Times Cited: 5

A robust time-varying weight combined model for crude oil price forecasting
Longlong Liu, Suyu Zhou, Jie Qian, et al.
Energy (2024) Vol. 299, pp. 131352-131352
Closed Access | Times Cited: 5

Which uncertainty measure better predicts gold prices? New evidence from a CNN-LSTM approach
Wanhai You, Jianyong Chen, Haoqi Xie, et al.
The North American Journal of Economics and Finance (2025), pp. 102375-102375
Closed Access

Portfolio tail risk forecasting for international financial assets: A GARCH-MIDAS-R-Vine copula model
Yinhong Yao, Xiuwen Chen, Zhensong Chen
The North American Journal of Economics and Finance (2025), pp. 102385-102385
Closed Access

An enhanced interval-valued decomposition integration model for stock price prediction based on comprehensive feature extraction and optimized deep learning
Jujie Wang, Jing Liu, Weiyi Jiang
Expert Systems with Applications (2023) Vol. 243, pp. 122891-122891
Closed Access | Times Cited: 14

A multiple feature fusion-based intelligent optimization ensemble model for carbon price forecasting
Jujie Wang, Jian Guo Dong, Xin Zhang, et al.
Process Safety and Environmental Protection (2024) Vol. 187, pp. 1558-1575
Closed Access | Times Cited: 4

Carbon emissions forecasting based on tensor decomposition with multi-source data fusion
Xiaofeng Xu, Xiaoxi Cao, Lean Yu
Information Sciences (2024) Vol. 681, pp. 121235-121235
Closed Access | Times Cited: 4

A point-interval wind speed prediction model based on entropy clustering and hybrid optimization weighted strategy
Jujie Wang, Shuqin Shu, Shulian Xu
Renewable Energy (2025), pp. 122653-122653
Closed Access

Optimal combination weight interval-valued carbon price forecasting model based on adaptive decomposition method
Xi Tang, Jujie Wang, Xin Zhang
Journal of Cleaner Production (2023) Vol. 427, pp. 139232-139232
Closed Access | Times Cited: 10

Differential learning model for carbon emission allowance prices prediction based on adaptive decomposition and joint feature contribution
Jujie Wang, Pinglan Wan, Weiyi Jiang
Journal of Cleaner Production (2024) Vol. 467, pp. 142932-142932
Closed Access | Times Cited: 3

A dynamic ensemble approach for multi-step price prediction: Empirical evidence from crude oil and shipping market
Jun Hao, Jiaxin Yuan, Dengsheng Wu, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121117-121117
Closed Access | Times Cited: 8

How to develop global energy-intensive sectors in the presence of carbon tariffs?
Yirui Deng, Mengjuan Yin, Xiaofeng Xu, et al.
Journal of International Financial Markets Institutions and Money (2024) Vol. 91, pp. 101930-101930
Closed Access | Times Cited: 2

An interpretable deep learning multi-dimensional integration framework for exchange rate forecasting based on deep and shallow feature selection and snapshot ensemble technology
Jujie Wang, Ying Dong
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108282-108282
Closed Access | Times Cited: 2

A new hybrid deep learning model for monthly oil prices forecasting
Keqin Guan, Xu Gong
Energy Economics (2023) Vol. 128, pp. 107136-107136
Closed Access | Times Cited: 6

A novel probabilistic forecasting system based on quantile combination in electricity price
Yan Xu, Jing Li, Honglu Wang, et al.
Computers & Industrial Engineering (2023) Vol. 187, pp. 109834-109834
Closed Access | Times Cited: 6

Making differences work: Financial fraud detection based on multi-subject perceptions
Guowen Li, Shuai Wang, Yuyao Feng
Emerging Markets Review (2024) Vol. 60, pp. 101134-101134
Closed Access | Times Cited: 1

HCEG: A heterogeneous clustering ensemble learning approach with gravity-based strategy for data assets intelligent pricing
Jun Hao, Jiaxin Yuan, Jianping Li
Information Sciences (2024) Vol. 678, pp. 121082-121082
Closed Access | Times Cited: 1

Development and application of machine learning models in US consumer price index forecasting: Analysis of a hybrid approach
Yunus Emre Gür
Data Science in Finance and Economics (2024) Vol. 4, Iss. 4, pp. 469-513
Open Access | Times Cited: 1

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