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:

A new PM2.5 forecasting model based on data preprocessing, reinforcement learning and gated recurrent unit network
Guangji Zheng, Hui Liu, Chengqing Yu, et al.
Atmospheric Pollution Research (2022) Vol. 13, Iss. 7, pp. 101475-101475
Closed Access | Times Cited: 14

Showing 14 citing articles:

Prediction of Monthly PM2.5 Concentration in Liaocheng in China Employing Artificial Neural Network
Zhenfang He, Qingchun Guo, Zhaosheng Wang, et al.
Atmosphere (2022) Vol. 13, Iss. 8, pp. 1221-1221
Open Access | Times Cited: 56

Prediction, modelling, and forecasting of PM and AQI using hybrid machine learning
Mihaela Tinca Udriștioiu, Youness El Mghouchi, Hasan Yıldızhan
Journal of Cleaner Production (2023) Vol. 421, pp. 138496-138496
Closed Access | Times Cited: 27

A hybrid carbon price prediction model based-combinational estimation strategies of quantile regression and long short-term memory
Nijun Jiang, Xiaobing Yu, Manawwer Alam
Journal of Cleaner Production (2023) Vol. 429, pp. 139508-139508
Closed Access | Times Cited: 18

Methods used for handling and quantifying model uncertainty of artificial neural network models for air pollution forecasting
Sheen Mclean Cabaneros, Ben Richard Hughes
Environmental Modelling & Software (2022) Vol. 158, pp. 105529-105529
Open Access | Times Cited: 23

MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for Air Quality Prediction
Chengqing Yu, Fei Wang, Yilun Wang, et al.
Information Fusion (2024) Vol. 113, pp. 102607-102607
Closed Access | Times Cited: 4

Spatial and temporal characteristics analysis and prediction model of PM2.5 concentration based on SpatioTemporal-Informer model
Zhanfei Ma, Wenli Luo, Jing Jiang, et al.
PLoS ONE (2023) Vol. 18, Iss. 6, pp. e0287423-e0287423
Open Access | Times Cited: 9

Forecasting PM2.5 Concentration Using Gradient-Boosted Regression Tree with CNN Learning Model
A. Usha Ruby, J. George Chellin Chandran, Prasannavenkatesan Theerthagiri, et al.
Optical Memory and Neural Networks (2024) Vol. 33, Iss. 1, pp. 86-96
Closed Access | Times Cited: 3

An artificial intelligence model based on multi-step feature engineering and deep attention network for optical network performance monitoring
Yang Zhou, Zhuojia Yang, Qiang Sun, et al.
Optik (2022) Vol. 273, pp. 170443-170443
Closed Access | Times Cited: 11

Research on Air Quality in Response to Meteorological Factors Based on the Informer Model
Xiaoqing Tian, Chaoqun Zhang, Huan Liu, et al.
Sustainability (2024) Vol. 16, Iss. 16, pp. 6794-6794
Open Access | Times Cited: 2

A hybrid CLSTM-GPR model for forecasting particulate matter (PM2.5)
Jiaan He, Xiaoyong Li, Zhenguo Chen, et al.
Atmospheric Pollution Research (2023) Vol. 14, Iss. 8, pp. 101832-101832
Closed Access | Times Cited: 4

Prediction of PM2.5 concentration based on a CNN-LSTM neural network algorithm
Xuesong Bai, Na Zhang, Xiaoyi Cao, et al.
PeerJ (2024) Vol. 12, pp. e17811-e17811
Open Access | Times Cited: 1

An Ensemble Model with Adaptive Variational Mode Decomposition and Multivariate Temporal Graph Neural Network for PM2.5 Concentration Forecasting
Yadong Pei, Chiou‐Jye Huang, Yamin Shen, et al.
Sustainability (2022) Vol. 14, Iss. 20, pp. 13191-13191
Open Access | Times Cited: 7

PM2.5 concentration prediction algorithm integrating traffic congestion index
Yong Fang, Shicheng Zhang, Keyong Yu, et al.
Journal of Environmental Sciences (2024) Vol. 155, pp. 359-371
Closed Access

A novel decomposition-denoising ANFIS model based on singular spectrum analysis and differential evolution algorithm for seasonal AQI forecasting
Mingjun He, Jinxing Che, Zheyong Jiang, et al.
Journal of Intelligent & Fuzzy Systems (2022) Vol. 44, Iss. 2, pp. 2325-2349
Closed Access

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