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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:

Carbon price forecasting system based on error correction and divide-conquer strategies
Xinsong Niu, Jianzhou Wang, Lifang Zhang
Applied Soft Computing (2021) Vol. 118, pp. 107935-107935
Closed Access | Times Cited: 80

Showing 26-50 of 80 citing articles:

Linear-layer-enhanced quantum long short-term memory for carbon price forecasting
Yuji Cao, Xiyuan Zhou, Fei Xiang, et al.
Quantum Machine Intelligence (2023) Vol. 5, Iss. 2
Closed Access | Times Cited: 18
An enhanced decomposition integration model for deterministic and probabilistic carbon price prediction based on two-stage feature extraction and intelligent weight optimization
Xin Zhang, Jujie Wang
Journal of Cleaner Production (2023) Vol. 415, pp. 137791-137791
Closed Access | Times Cited: 17
Carbon market price prediction based on sequence decomposition-reconstruction-dimensionality reduction and improved deep learning model
Huaqing Wang, Zhongfu Tan, Amin Zhang, et al.
Journal of Cleaner Production (2023) Vol. 425, pp. 139063-139063
Closed Access | Times Cited: 16
A novel interval-valued carbon price analysis and forecasting system based on multi-objective ensemble strategy for carbon trading market
Hao Yan, Xiaodi Wang, Jianzhou Wang, et al.
Expert Systems with Applications (2023) Vol. 244, pp. 122912-122912
Closed Access | Times Cited: 16
Optimizing Time-Series forecasting using stacked deep learning framework with enhanced adaptive moment estimation and error correction
Ravi Prakash Varshney, Dilip Kumar Sharma
Expert Systems with Applications (2024) Vol. 249, pp. 123487-123487
Closed Access | Times Cited: 6
An integrated forecasting system based on knee-based multi-objective optimization for solar radiation interval forecasting
Jianzhou Wang, Yuyang Gao
Expert Systems with Applications (2022) Vol. 198, pp. 116934-116934
Closed Access | Times Cited: 25
Novel deterministic and probabilistic combined system based on deep learning and self-improved optimization algorithm for wind speed forecasting
Mengzheng Lv, Jing Li, Xinsong Niu, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 52, pp. 102186-102186
Closed Access | Times Cited: 24
Ensemble wind speed forecasting system based on optimal model adaptive selection strategy: Case study in China
Yuqi Dong, Jing Li, Zhenkun Liu, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 53, pp. 102535-102535
Closed Access | Times Cited: 22
Point and interval wind speed forecasting of multivariate time series based on dual-layer LSTM
Haipeng Zhang, Jianzhou Wang, Yuansheng Qian, et al.
Energy (2024) Vol. 294, pp. 130875-130875
Closed Access | Times Cited: 5
Carbon price forecasting using leaky integrator echo state networks with the framework of decomposition-reconstruction-integration
Yun Bai, Shuyun Deng, Ziqiang Pu, et al.
Energy (2024) Vol. 305, pp. 132338-132338
Closed Access | Times Cited: 5
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
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
Application of a hybrid model based on the Prophet model, ICEEMDAN and multi-model optimization error correction in metal price prediction
Yu-ting Huang, Yulong Bai, YU Qing-he, et al.
Resources Policy (2022) Vol. 79, pp. 102969-102969
Closed Access | Times Cited: 21
Decomposition-Selection-Ensemble Prediction System for Short-Term Wind Speed Forecasting
Ping Jiang, Zhenkun Liu, Jianzhou Wang, et al.
Electric Power Systems Research (2022) Vol. 211, pp. 108186-108186
Closed Access | Times Cited: 20
Accurate combination forecasting of wave energy based on multiobjective optimization and fuzzy information granulation
Yuqi Dong, Jianzhou Wang, Rui Wang, et al.
Journal of Cleaner Production (2022) Vol. 386, pp. 135772-135772
Closed Access | Times Cited: 19
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
A multi-model fusion based non-ferrous metal price forecasting
Qing Liu, Min Liu, Hanlu Zhou, et al.
Resources Policy (2022) Vol. 77, pp. 102714-102714
Closed Access | Times Cited: 18
Examination of the transmission mechanism of energy prices influencing carbon prices: an analysis of mediating effects based on demand heterogeneity
Rui Wang, Xinglin Zhao, Kerong Wu, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 21, pp. 59567-59578
Closed Access | Times Cited: 10
Stock price index forecasting using a multiscale modelling strategy based on frequency components analysis and intelligent optimization
Ranran Li, Teng Han, Xiao Guang Song
Applied Soft Computing (2022) Vol. 124, pp. 109089-109089
Closed Access | Times Cited: 15
House Price Prediction Using Exploratory Data Analysis and Machine Learning with Feature Selection
Fadhil Muhammad Basysyar, Gifthera Dwilestari
Acadlore Transactions on AI and Machine Learning (2022) Vol. 1, Iss. 1, pp. 11-21
Open Access | Times Cited: 14
Ensemble power load forecasting based on competitive-inhibition selection strategy and deep learning
Hua Luo, Haipeng Zhang, Jianzhou Wang
Sustainable Energy Technologies and Assessments (2021) Vol. 51, pp. 101940-101940
Closed Access | Times Cited: 19
Carbon price prediction based on decomposition technique and extreme gradient boosting optimized by the grey wolf optimizer algorithm
Mengdan Feng, Yonghui Duan, Xiang Wang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Analysis of China’s carbon market price fluctuation and international carbon credit financing mechanism using random forest model
Cuiling Song
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0294269-e0294269
Open Access | Times Cited: 2
A Hybrid Model for Carbon Price Forecasting Based on Improved Feature Extraction and Non-Linear Integration
Yingjie Zhu, Yongfa Chen, Qiuling Hua, et al.
Mathematics (2024) Vol. 12, Iss. 10, pp. 1428-1428
Open Access | Times Cited: 2
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

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