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:

CEEMD-MR-hybrid model based on sample entropy and random forest for SO2 prediction
Suling Zhu, Xinlu Wang, Dongshuai Mei, et al.
Atmospheric Pollution Research (2022) Vol. 13, Iss. 3, pp. 101358-101358
Closed Access | Times Cited: 10

Showing 10 citing articles:

A dual-scale deep learning model based on ELM-BiLSTM and improved reptile search algorithm for wind power prediction
Jinlin Xiong, Peng Tian, Zihan Tao, et al.
Energy (2022) Vol. 266, pp. 126419-126419
Closed Access | Times Cited: 150

An enhanced machine learning model for urban air quality forecasting under intense human activities
Yelin Wang, Fuxiang Xia, Linlin Yao, et al.
Urban Climate (2025) Vol. 60, pp. 102359-102359
Closed Access

Air pollutant diffusion trend prediction based on deep learning for targeted season—North China as an example
Bo Zhang, Zhihao Wang, Yunjie Lu, et al.
Expert Systems with Applications (2023) Vol. 232, pp. 120718-120718
Closed Access | Times Cited: 7

Estimation of urban AQI based on interpretable machine learning
Siyuan Wang, Ying Ren, Bisheng Xia
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 42, pp. 96562-96574
Closed Access | Times Cited: 7

An interval-valued carbon price forecasting method based on web search data and social media sentiment
Jinpei Liu, Xue Li, Piao Wang, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 42, pp. 95840-95859
Closed Access | Times Cited: 6

M-EDEM: A MNN-based Empirical Decomposition Ensemble Method for improved time series forecasting
Xiangjun Cai, Dagang Li
Knowledge-Based Systems (2023) Vol. 283, pp. 111157-111157
Closed Access | Times Cited: 4

Short-Term Offshore Wind Power Prediction based on VMD-SE-BP Neural Network Model
Hui Qin, Lijuan Huang, Kui Li, et al.
(2024), pp. 1476-1481
Closed Access | Times Cited: 1

CO concentration forecasting with attention-based LSTM and EMD for urban areas in Selangor
Nur’atiah Zaini, Lee Woen Ean, Ali Naiah Ahmed, et al.
(2022), pp. 53-56
Closed Access | Times Cited: 2

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