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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:

PM2.5 concentration forecasting at surface monitoring sites using GRU neural network based on empirical mode decomposition
Guoyan Huang, Xinyi Li, Bing Zhang, et al.
The Science of The Total Environment (2021) Vol. 768, pp. 144516-144516
Closed Access | Times Cited: 202

Showing 1-25 of 202 citing articles:

Deep learning for air pollutant concentration prediction: A review
Bo Zhang, Yi Rong, Ruihan Yong, et al.
Atmospheric Environment (2022) Vol. 290, pp. 119347-119347
Closed Access | Times Cited: 125
A hybrid VMD-LSTM/GRU model to predict non-stationary and irregular waves on the east coast of China
Lingxiao Zhao, Zhiyang Li, Leilei Qu, et al.
Ocean Engineering (2023) Vol. 276, pp. 114136-114136
Closed Access | Times Cited: 83
Predicting of Daily PM2.5 Concentration Employing Wavelet Artificial Neural Networks Based on Meteorological Elements in Shanghai, China
Qingchun Guo, Zhenfang He, Zhaosheng Wang
Toxics (2023) Vol. 11, Iss. 1, pp. 51-51
Open Access | Times Cited: 52
Deep-learning architecture for PM2.5 concentration prediction: A review
Shiyun Zhou, Wei Wang, Long Zhu, et al.
Environmental Science and Ecotechnology (2024) Vol. 21, pp. 100400-100400
Open Access | Times Cited: 18
Ensemble learning using multivariate variational mode decomposition based on the Transformer for multi-step-ahead streamflow forecasting
Jinjie Fang, Linshan Yang, Xiaohu Wen, et al.
Journal of Hydrology (2024) Vol. 636, pp. 131275-131275
Closed Access | Times Cited: 17
A systematic literature review of deep learning neural network for time series air quality forecasting
Nur’atiah Zaini, Lee Woen Ean, Ali Najah Ahmed, et al.
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 4, pp. 4958-4990
Closed Access | Times Cited: 79
Influence and prediction of PM2.5 through multiple environmental variables in China
Haoyu Jin, Xiaohong Chen, Ruida Zhong, et al.
The Science of The Total Environment (2022) Vol. 849, pp. 157910-157910
Closed Access | Times Cited: 60
Epileptic Seizure Detection Based on Bidirectional Gated Recurrent Unit Network
Yanli Zhang, Shuxin Yao, Rendi Yang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 135-145
Open Access | Times Cited: 59
PM2.5 forecasting for an urban area based on deep learning and decomposition method
Nur’atiah Zaini, Lee Woen Ean, Ali Najah Ahmed, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 48
Spatiotemporal distribution characteristics of PM2.5 concentration in China from 2000 to 2018 and its impact on population
Haoyu Jin, Ruida Zhong, Moyang Liu, et al.
Journal of Environmental Management (2022) Vol. 323, pp. 116273-116273
Closed Access | Times Cited: 44
Simulating daily PM2.5 concentrations using wavelet analysis and artificial neural network with remote sensing and surface observation data
Qingchun Guo, Zhenfang He, Zhaosheng Wang
Chemosphere (2023) Vol. 340, pp. 139886-139886
Closed Access | Times Cited: 39
Which one is more important in daily runoff forecasting using data driven models: Input data, model type, preprocessing or data length?
Vahid Moosavi, Zeinab Gheisoori Fard, Mehdi Vafakhah
Journal of Hydrology (2022) Vol. 606, pp. 127429-127429
Closed Access | Times Cited: 37
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
Prediction method of PM2.5 concentration based on decomposition and integration
Hong Yang, Wenqian Wang, Guohui Li
Measurement (2023) Vol. 216, pp. 112954-112954
Closed Access | Times Cited: 29
Improved prediction of chlorophyll-a concentrations in reservoirs by GRU neural network based on particle swarm algorithm optimized variational modal decomposition
Xihai Zhang, Xianghui Chen, Guochen Zheng, et al.
Environmental Research (2023) Vol. 221, pp. 115259-115259
Closed Access | Times Cited: 28
Application of complete ensemble empirical mode decomposition based multi-stream informer (CEEMD-MsI) in PM2.5 concentration long-term prediction
Qinghe Zheng, Xinyu Tian, Zhiguo Yu, et al.
Expert Systems with Applications (2023) Vol. 245, pp. 123008-123008
Closed Access | Times Cited: 28
The application of machine learning to air pollution research: A bibliometric analysis
Yunzhe Li, Zhipeng Sha, Aohan Tang, et al.
Ecotoxicology and Environmental Safety (2023) Vol. 257, pp. 114911-114911
Open Access | Times Cited: 27
PM2.5 air pollution prediction through deep learning using meteorological, vehicular, and emission data: A case study of New Delhi, India
Deepti Shakya, Vishal Deshpande, Manish Kumar Goyal, et al.
Journal of Cleaner Production (2023) Vol. 427, pp. 139278-139278
Closed Access | Times Cited: 25
Forecasting of fine particulate matter based on LSTM and optimization algorithm
Nur’atiah Zaini, Ali Najah Ahmed, Lee Woen Ean, et al.
Journal of Cleaner Production (2023) Vol. 427, pp. 139233-139233
Closed Access | Times Cited: 24
Predictive control of HVAC by multiple output GRU - CFD integration approach to manage multiple IAQ for commercial heritage building preservation
Jiaying Zhang, Kwok Ho Poon, H.L. Kwok, et al.
Building and Environment (2023) Vol. 245, pp. 110802-110802
Closed Access | Times Cited: 23
Graph Neural Network for Air Quality Prediction: A Case Study in Madrid
Ditsuhi Iskandaryan, Francisco Ramos, Sergio Trilles
IEEE Access (2023) Vol. 11, pp. 2729-2742
Open Access | Times Cited: 22
A multi-step ahead point-interval forecasting system for hourly PM2.5 concentrations based on multivariate decomposition and kernel density estimation
Hongtao Li, Yang Yu, Zhipeng Huang, et al.
Expert Systems with Applications (2023) Vol. 226, pp. 120140-120140
Closed Access | Times Cited: 22
72-hour real-time forecasting of ambient PM2.5 by hybrid graph deep neural network with aggregated neighborhood spatiotemporal information
Mengfan Teng, Siwei Li, Jia Xing, et al.
Environment International (2023) Vol. 176, pp. 107971-107971
Open Access | Times Cited: 22
Multi-factor PM2.5 concentration optimization prediction model based on decomposition and integration
Hong Yang, Wenqian Wang, Guohui Li
Urban Climate (2024) Vol. 55, pp. 101916-101916
Closed Access | Times Cited: 13
Development of technology predicting based on EEMD-GRU: An empirical study of aircraft assembly technology
Huyi Zhang, Lijie Feng, Jinfeng Wang, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123208-123208
Closed Access | Times Cited: 10
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