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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:

An ensemble multi-step M-RMLSSVR model based on VMD and two-group strategy for day-ahead short-term load forecasting
Fang Yuan, Jinxing Che
Knowledge-Based Systems (2022) Vol. 252, pp. 109440-109440
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

CNNs-Transformer based day-ahead probabilistic load forecasting for weekends with limited data availability
Zhirui Tian, Weican Liu, Wenqian Jiang, et al.
Energy (2024) Vol. 293, pp. 130666-130666
Closed Access | Times Cited: 28
Forecasting hourly PM2.5 concentrations based on decomposition-ensemble-reconstruction framework incorporating deep learning algorithms
Peilei Cai, Chengyuan Zhang, Jian Chai
Data Science and Management (2023) Vol. 6, Iss. 1, pp. 46-54
Open Access | Times Cited: 29
An improved Wavenet network for multi-step-ahead wind energy forecasting
Yun Wang, Tuo Chen, Shengchao Zhou, et al.
Energy Conversion and Management (2023) Vol. 278, pp. 116709-116709
Closed Access | Times Cited: 26
Novel optimization approach for realized volatility forecast of stock price index based on deep reinforcement learning model
Yuanyuan Yu, Yu Lin, Xianping Hou, et al.
Expert Systems with Applications (2023) Vol. 233, pp. 120880-120880
Closed Access | Times Cited: 24
FCDT-IWBOA-LSSVR: An innovative hybrid machine learning approach for efficient prediction of short-to-mid-term photovoltaic generation
Liang Lu, Tiecheng Su, Yuxiang Gao, et al.
Journal of Cleaner Production (2022) Vol. 385, pp. 135716-135716
Closed Access | Times Cited: 31
Short term power load forecasting based on BES-VMD and CNN-Bi-LSTM method with error correction
Nier Wang, Zhanming Li
Frontiers in Energy Research (2023) Vol. 10
Open Access | Times Cited: 20
Minute-level ultra-short-term power load forecasting based on time series data features
Chuang Wang, Haishen Zhao, Yang Liu, et al.
Applied Energy (2024) Vol. 372, pp. 123801-123801
Open Access | Times Cited: 7
Multi-step Carbon Emissions Forecasting Model for Industrial Process Based on a New Strategy and Machine Learning Methods
Yusha Hu, Yi Man, Jingzheng Ren, et al.
Process Safety and Environmental Protection (2024) Vol. 187, pp. 1213-1233
Closed Access | Times Cited: 5
Short-term electrical load forecasting based on pattern label vector generation
Haozhe Zhu, Qingcheng Lin, Xuefeng Li, et al.
Energy and Buildings (2025), pp. 115383-115383
Closed Access
Deterministic and probabilistic wind speed forecasting using decomposition methods: Accuracy and uncertainty
Qian Sun, Jinxing Che, Kun Hu, et al.
Renewable Energy (2025), pp. 122515-122515
Closed Access
Twin extreme learning machine model and cooperation search algorithm for multi-step-ahead point and interval runoff prediction
Zhong-kai Feng, Pan Liu, Wen-jing Niu, et al.
Journal of Hydrology (2025), pp. 132778-132778
Closed Access
A hybrid system with optimized decomposition on random deep learning model for crude oil futures forecasting
Jie Wang, Ying Zhang
Expert Systems with Applications (2025), pp. 126706-126706
Closed Access
Enhanced forecasting method for realized volatility of energy futures prices: A secondary decomposition-based deep learning model
Hao Gong, H. Y. Xing, Qianwen Wang
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110321-110321
Closed Access
A synchronized multi-step wind speed prediction with adaptive features and parameters selection: Insights from an interaction model
Wenxin Xia, Jinxing Che, Kun Hu, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124764-124764
Closed Access | Times Cited: 4
A multi-modal feature combination mechanism for identification of harmonic load in distribution networks based on artificial intelligence models
Renzeng Yang, Shuang Peng, Gang Yao
International Journal of Electrical Power & Energy Systems (2025) Vol. 166, pp. 110519-110519
Closed Access
A day-ahead industrial load forecasting model using load change rate features and combining FA-ELM and the AdaBoost algorithm
Ziwei Zhu, Mengran Zhou, Feng Hu, et al.
Energy Reports (2022) Vol. 9, pp. 971-981
Open Access | Times Cited: 21
Multivariate solar power time series forecasting using multilevel data fusion and deep neural networks
Sarah Almaghrabi, Mashud Rana, Margaret Hamilton, et al.
Information Fusion (2023) Vol. 104, pp. 102180-102180
Open Access | Times Cited: 11
MFTM-Informer: A multi-step prediction model based on multivariate fuzzy trend matching and Informer
Lu‐Tao Zhao, Yue Li, Xue-Hui Chen, et al.
Information Sciences (2024) Vol. 681, pp. 121268-121268
Closed Access | Times Cited: 3
Short-Term Electrical Load Forecasting Using an Enhanced Extreme Learning Machine Based on the Improved Dwarf Mongoose Optimization Algorithm
H. P. Wang, Zhang Yu, Lixin Mu
Symmetry (2024) Vol. 16, Iss. 5, pp. 628-628
Open Access | Times Cited: 3
Research on semi-supervised soft sensor modeling method for sulfur recovery unit based on ISSA-VMD-ESN
Qinghong Wang, Longhao Li
Chemical Engineering Science (2024) Vol. 298, pp. 120397-120397
Closed Access | Times Cited: 2
A Hybrid Dual Stream ProbSparse Self-Attention Network for spatial–temporal photovoltaic power forecasting
Jingyin Pei, Yunxuan Dong, Peiting Guo, et al.
Energy (2024) Vol. 305, pp. 132152-132152
Closed Access | Times Cited: 2
Can hybrid model improve the forecasting performance of stock price index amid COVID-19? Contextual evidence from the MEEMD-LSTM-MLP approach
Qu Yang, Yuanyuan Yu, D Dai, et al.
The North American Journal of Economics and Finance (2024) Vol. 74, pp. 102252-102252
Closed Access | Times Cited: 2
MISAO: Ultra-Short-Term Photovoltaic Power Forecasting with Multi-Strategy Improved Snow Ablation Optimizer
Xu Zhang, Jun Ye, Shenbing Ma, et al.
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 7297-7297
Open Access | Times Cited: 2
Approach for Short-Term Power Load Prediction Utilizing the ICEEMDAN–LSTM–TCN–Bagging Model
Guo-Qiang Zheng, Lingrui Kong, Zhonge Su, et al.
Journal of Electrical Engineering and Technology (2024)
Closed Access | Times Cited: 2
Short-Term Power Load Forecasting Based on an EPT-VMD-TCN-TPA Model
Shifa Zan, Qiang Zhang
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4462-4462
Open Access | Times Cited: 4
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