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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 carbon price trends based on an interpretable light gradient boosting machine and Bayesian optimization
Shangkun Deng, Jiankang Su, Yingke Zhu, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122502-122502
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

A self-attention-LSTM method for dam deformation prediction based on CEEMDAN optimization
Shuo Cai, Huixin Gao, Jie Zhang, et al.
Applied Soft Computing (2024) Vol. 159, pp. 111615-111615
Closed Access | Times Cited: 16
Enhancing carbon price point-interval multi-step-ahead prediction using a hybrid framework of autoformer and extreme learning machine with multi-factors
Baoli Wang, Zhaocai Wang, Zhiyuan Yao
Expert Systems with Applications (2025), pp. 126467-126467
Closed Access | Times Cited: 4
Estimating Axial Bearing Capacity of Driven Piles Using Tuned Random Forest Frameworks
Belal Mohammadi Yaychi, Mahzad Esmaeili‐Falak
Geotechnical and Geological Engineering (2024)
Closed Access | Times Cited: 13
Carbon emission price point-interval forecasting based on multivariate variational mode decomposition and attention-LSTM model
Liling Zeng, Huanling Hu, Huajun Tang, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111543-111543
Closed Access | Times Cited: 11
Framework for multivariate carbon price forecasting: A novel hybrid model
Xuankai Zhang, Ying Zong, Pei Du, et al.
Journal of Environmental Management (2024) Vol. 369, pp. 122275-122275
Closed Access | Times Cited: 7
MLP-Carbon: A new paradigm integrating multi-frequency and multi-scale techniques for accurate carbon price forecasting
Zhirui Tian, Wei Sun, Chenye Wu
Applied Energy (2025) Vol. 383, pp. 125330-125330
Closed Access
Enhancing Student Academic Success Prediction Through Ensemble Learning and Image-Based Behavioral Data Transformation
Shuai Zhao, Dongbo Zhou, Huan Wang, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1231-1231
Open Access
Prediction of slab surface longitudinal crack based on resampling and the Bayesian optimisation of LightGBM
Xinyao Wang, Fei He, Y. Yu, et al.
Ironmaking & Steelmaking Processes Products and Applications (2025)
Closed Access
Impacts of Land Surface Temperature and Ambient Factors on Near-Surface Air Temperature Estimation: A Multisource Evaluation Using SHAP Analysis
Songyang Li, Man Sing Wong, Rui Zhu, et al.
Sustainable Cities and Society (2025), pp. 106257-106257
Closed Access
A study on the differentiation of carbon prices in China: insights from eight carbon emissions trading pilots
Tianshu Zhang, Menghua Deng
Journal of Cleaner Production (2025), pp. 145279-145279
Closed Access
EO-LGBM-HAR: A novel meta-heuristic hybrid model for human activity recognition
E. Topuz, Yasin Kaya
Computers in Biology and Medicine (2025) Vol. 189, pp. 110004-110004
Closed Access
Multi-sentiment fusion for stock price crash risk prediction using an interpretable ensemble learning method
Shangkun Deng, Qunfang Luo, Yingke Zhu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108842-108842
Closed Access | Times Cited: 4
Group dynamic game under bounded rationality in agreed transfer of China’s carbon trading secondary market
Zhen Peng, Zitao Hong
Computers & Industrial Engineering (2025), pp. 110857-110857
Closed Access
An Optimized Extreme Learning Machine Composite Framework for Point, Probabilistic, and Quantile Regression Forecasting of Carbon Price
Xu‐Ming Wang, Jiaqi Zhou, Xiaobing Yu
Process Safety and Environmental Protection (2025), pp. 106772-106772
Closed Access
Using explainable deep learning to improve decision quality: Evidence from carbon trading market
Yang Zhao, Jianzhou Wang, Shuai Wang, et al.
Omega (2025), pp. 103281-103281
Closed Access
Fossil energy market price prediction by using machine learning with optimal hyper-parameters: A comparative study
Salim Lahmiri
Resources Policy (2024) Vol. 92, pp. 105008-105008
Closed Access | Times Cited: 3
Dual-stream Transformer-attention fusion network for short-term carbon price prediction
Han Wu, Pei Du
Energy (2024), pp. 133374-133374
Closed Access | Times Cited: 3
Optimizing flexural strength of RC beams with recycled aggregates and CFRP using machine learning models
Thanh-Hung Nguyen, Hoang-Thach Vuong, Jim Shiau, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Financial risk forewarning with an interpretable ensemble learning approach: An empirical analysis based on Chinese listed companies
Shangkun Deng, Qunfang Luo, Yingke Zhu, et al.
Pacific-Basin Finance Journal (2024) Vol. 85, pp. 102393-102393
Closed Access | Times Cited: 2
Case Study: Gradient Boosting Machine vs Light GBM in Potential Landslide Detection
Djarot Hindarto
Journal Of Computer Networks Architecture and High Performance Computing (2024) Vol. 6, Iss. 1, pp. 169-178
Open Access | Times Cited: 1
A decomposition-ensemble-integration framework for carbon price forecasting
Xiang Li, Yongqi Zhang, Lei Chen, et al.
Expert Systems with Applications (2024) Vol. 257, pp. 124954-124954
Closed Access | Times Cited: 1
A novel integrated prediction method using adaptive mode decomposition, attention mechanism and deep learning for coking products prices
Xuhui Zhu, Chenggong Ma, Lei Hao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109504-109504
Closed Access | Times Cited: 1
An optimal weight heterogeneous integrated carbon price prediction model based on temporal information extraction and specific comprehensive feature selection
Jujie Wang, S. B. Xu, Shuqin Shu
Energy (2024) Vol. 312, pp. 133654-133654
Closed Access | Times Cited: 1
Unveiling the effects of artificial intelligence and green technology convergence on carbon emissions: An explainable machine learning-based approach
Tianlong Shan, Shuai Feng, Kaijian Li, et al.
Journal of Environmental Management (2024) Vol. 373, pp. 123657-123657
Closed Access | Times Cited: 1
Prediction of non-stationary daily streamflow series based on ensemble learning: a case study of the Wei River Basin, China
Wei Ma, Xiao Zhang, Jiancang Xie, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access | Times Cited: 1
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