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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:

Extraction of multi-scale features enhances the deep learning-based daily PM2.5 forecasting in cities
Dong Liang, Pei Hua, Dongwei GUI, et al.
Chemosphere (2022) Vol. 308, pp. 136252-136252
Closed Access | Times Cited: 18

Showing 18 citing articles:

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
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
Machine learning algorithms for high-resolution prediction of spatiotemporal distribution of air pollution from meteorological and soil parameters
Tao Hai, Ali H. Jawad, A.H. Shather, et al.
Environment International (2023) Vol. 175, pp. 107931-107931
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
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
A hybrid optimization prediction model for PM2.5 based on VMD and deep learning
Tao Zeng, XU Li-ping, Yahui Liu, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 7, pp. 102152-102152
Open Access | Times Cited: 10
A novel hybrid model for hourly PM2.5 prediction considering air pollution factors, meteorological parameters and GNSS-ZTD
Fanming Wu, Pengfei Min, Yan Jin, et al.
Environmental Modelling & Software (2023) Vol. 167, pp. 105780-105780
Open Access | Times Cited: 16
Time-Series Data-Driven PM2.5 Forecasting: From Theoretical Framework to Empirical Analysis
Chengqian Wu, Ruiyang Wang, Siyu Lu, et al.
Atmosphere (2025) Vol. 16, Iss. 3, pp. 292-292
Open Access
Improved prediction of hourly PM2.5 concentrations with a long short-term memory and spatio-temporal causal convolutional network deep learning model
Yinsheng Chen, Lin Huang, Xiaodong Xie, et al.
The Science of The Total Environment (2023) Vol. 912, pp. 168672-168672
Closed Access | Times Cited: 9
Forecasting daily PM2.5 concentrations in Wuhan with a spatial-autocorrelation-based long short-term memory model
Zhifei Liu, C. Ge, Kang Zheng, et al.
Atmospheric Environment (2024) Vol. 331, pp. 120605-120605
Closed Access | Times Cited: 3
Smart solutions for urban health risk assessment: A PM2.5 monitoring system incorporating spatiotemporal long-short term graph convolutional network
Roberto Chang, Shahzeb Tariq, Jorge Loy-Benitez, et al.
Chemosphere (2023) Vol. 335, pp. 139071-139071
Closed Access | Times Cited: 6
An ensemble multi-scale framework for long-term forecasting of air quality
Shan Jiang, Zu‐Guo Yu, Vo Anh, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 1
Open Access | Times Cited: 1
Effects of atmospheric particulate pollution on lung function of athletes
Bo Zhang, Rongbao Huang, Y. Liu, et al.
Environmental Research (2024) Vol. 252, pp. 118763-118763
Closed Access | Times Cited: 1
Monitoring and warning for ammonia nitrogen pollution of urban river based on neural network algorithms
Yang Zhang, Liang Liu, Shenghong Zhang, et al.
Analytical Sciences (2024) Vol. 40, Iss. 10, pp. 1867-1879
Open Access | Times Cited: 1
Deep learning PM 2.5 hybrid prediction model based on clustering- secondary decomposition strategy
Tao Zeng, Yahui Liu, Ruru Liu, et al.
Research Square (Research Square) (2024)
Open Access
A Novel Short-Term PM2.5 Forecasting Approach Using Secondary Decomposition and a Hybrid Deep Learning Model
Ruru Liu, XU Li-ping, Tao Zeng, et al.
Electronics (2024) Vol. 13, Iss. 18, pp. 3658-3658
Open Access
A Deep Learning PM2.5 Hybrid Prediction Model Based on Clustering–Secondary Decomposition Strategy
Tao Zeng, Ruru Liu, Yahui Liu, et al.
Electronics (2024) Vol. 13, Iss. 21, pp. 4242-4242
Open Access
Multi-classification Prediction of PM2.5 Concentration Based on Improved Adaptive Boosting Rotation Forest
Tan Deng, Yao Jia, Ni Liu, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 6, pp. 114658-114658
Closed Access
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