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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:

Forecasting European Union allowances futures: The role of technical indicators
Ditian Zhang, Pan Tang
Energy (2023) Vol. 270, pp. 126916-126916
Closed Access | Times Cited: 9

Showing 9 citing articles:

Model-driven multimodal LSTM-CNN for unbiased structural forecasting of European Union allowances open-high-low-close price
Wenyang Huang, Jianyu Zhao, Xiaokang Wang
Energy Economics (2024) Vol. 132, pp. 107459-107459
Closed Access | Times Cited: 5
Forecasting carbon prices under diversified attention: A dynamic model averaging approach with common factors
Zhikai Zhang, Yudong Wang, Yaojie Zhang, et al.
Energy Economics (2024) Vol. 133, pp. 107537-107537
Closed Access | Times Cited: 4
Clean energy stock price forecasting and response to macroeconomic variables: A novel framework using Facebook's Prophet, NeuralProphet and explainable AI
Indranil Ghosh, Rabin K. Jana
Technological Forecasting and Social Change (2023) Vol. 200, pp. 123148-123148
Closed Access | Times Cited: 11
Identifying the determinants of European carbon allowances prices: A novel robust partial least squares method for open-high-low-close data
Wenyang Huang, Huiwen Wang, Yigang Wei
International Review of Financial Analysis (2023) Vol. 90, pp. 102938-102938
Closed Access | Times Cited: 9
Prediction of Precious Metal Index Based on Ensemble Learning and SHAP Interpretable Method
Yanbo Zhang, Mengkun Liang, Haiying Ou
Computational Economics (2024) Vol. 64, Iss. 6, pp. 3243-3278
Closed Access | Times Cited: 3
Carbon futures return forecasting: A novel method based on decomposition-ensemble strategy and Markov process
Yuan Zhao, Weiguo Zhang, Xue Gong, et al.
Applied Soft Computing (2024) Vol. 163, pp. 111869-111869
Open Access | Times Cited: 2
Forecasting carbon futures returns using feature selection and Markov chain with sample distribution
Yuan Zhao, Xue Gong, Weiguo Zhang, et al.
Energy Economics (2024) Vol. 140, pp. 107962-107962
Closed Access | Times Cited: 1
Forecasting stock market returns using deep learning and time series techniques: a comparative and empirical study using technical indicators
Kalloubi Fahd, Badr Hirchoua, Labiad Salah Eddine, et al.
Multimedia Tools and Applications (2024)
Closed Access
Identifying the Determinants of European Carbon Allowances Prices: A Novel Robust Partial Least Squares Method for Open-High-Low-Close Data
Wenyang HUANG, Huiwen Wang, Yigang Wei
(2023)
Closed Access
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