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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:

Modeling PM2.5 forecast using a self-weighted ensemble GRU network: Method optimization and evaluation
Hengjun Huang, Chonghui Qian
Ecological Indicators (2023) Vol. 156, pp. 111138-111138
Open Access | Times Cited: 20

Showing 20 citing articles:

Football team training algorithm: A novel sport-inspired meta-heuristic optimization algorithm for global optimization
Zhirui Tian, Mei Gai
Expert Systems with Applications (2024) Vol. 245, pp. 123088-123088
Closed Access | Times Cited: 48
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
Comparative Analysis of Multiple Deep Learning Models for Forecasting Monthly Ambient PM2.5 Concentrations: A Case Study in Dezhou City, China
Zhenfang He, Qingchun Guo
Atmosphere (2024) Vol. 15, Iss. 12, pp. 1432-1432
Open Access | Times Cited: 12
A novel machine learning-based artificial intelligence method for predicting the air pollution index PM2.5
Lingxiao Zhao, Zhiyang Li, Leilei Qu
Journal of Cleaner Production (2024) Vol. 468, pp. 143042-143042
Closed Access | Times Cited: 10
PM2.5 Concentration Prediction Using CNN‐LSTM Model Based on Multi‐Feature Fusion
Zhiwen Wang, Junjian Huang, Junlin Huang, et al.
Concurrency and Computation Practice and Experience (2025) Vol. 37, Iss. 4-5
Closed Access | Times Cited: 1
TEMDI: A Temporal Enhanced Multisource Data Integration model for accurate PM2.5 concentration forecasting
Ke Ren, Kangxu Chen, Chengyao Jin, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 11, pp. 102269-102269
Closed Access | Times Cited: 4
A Hybrid Wavelet-Based Deep Learning Model for Accurate Prediction of Daily Surface PM2.5 Concentrations in Guangzhou City
Zhenfang He, Qingchun Guo, Zhaosheng Wang, et al.
Toxics (2025) Vol. 13, Iss. 4, pp. 254-254
Open Access
Air Quality Prediction Using a U-Net Inspired 1D-CNN with Attention Mechanisms

Global NEST Journal (2025)
Closed Access
Modeling PM2.5 urbane pollution using hybrid models incorporating decomposition and multiple factors
Somayeh Mirzaei, Ting Liao, Chin-Yu Hsu
Urban Climate (2025) Vol. 60, pp. 102338-102338
Closed Access
Integrating D–S evidence theory and multiple deep learning frameworks for time series prediction of air quality
Siling Feng, Le Tang, Mengxing Huang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
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
Enhanced Air Quality Prediction Using a Coupled DVMD Informer-CNN-LSTM Model Optimized with Dung Beetle Algorithm
Yang Wu, Chonghui Qian, Hengjun Huang
Entropy (2024) Vol. 26, Iss. 7, pp. 534-534
Open Access | Times Cited: 2
Features of extreme $$\textrm{PM}_{\mathrm {2.5}}$$ pollution and its influencing factors: evidence from China
Lu Deng, Xinzhu Liu
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 10
Closed Access | Times Cited: 1
A predictive model for the estimation of industrial PM2.5 emissions for IoT-based devices
Aleksei Kychkin, Olga Vikenteva, Leonid Mylnikov, et al.
Computers & Industrial Engineering (2024), pp. 110662-110662
Closed Access | Times Cited: 1
EMD-TCN-TimeGAN: A Data Augmentation Model for Enhancing the Accuracy of Agricultural Product Price Prediction
Yinbing Wang, Xingfen Wang, Libo Li
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 5161-5168
Closed Access | Times Cited: 1
A new Method for Predicting PM2.5 Concentrations in Subway Stations Based on a Multiscale Adaptive Noise Reduction Transformer -BiGRU Model and an Error Correction Method
Ding Chen, Hui Liu
Journal of Infrastructure Intelligence and Resilience (2024), pp. 100128-100128
Open Access
Advancements in evaporation prediction: introducing the Gated Recurrent Unit–Multi-Kernel Extreme Learning Machine (MKELM)–Gaussian Process Regression (GPR) model
Sharareh Pourebrahim, Mohammad Ehteram, Mehrdad Hadipour, et al.
Environmental Sciences Europe (2024) Vol. 36, Iss. 1
Open Access
Air Quality Prediction Method Based On Integrating Grey Model And Neural Network Model
Yonghong Li, C.K. Li, Huiming Duan, et al.
(2024), pp. 1-6
Closed 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
Dynamic Modeling Under Temperature Variations for Sustainable Air Quality Solutions: PM2.5 and Negative Ion Interactions
Paola M. Ortiz-Grisales, Leidy Gutiérrez-León, Eduardo Alexander Duque Grisales, et al.
Sustainability (2024) Vol. 17, Iss. 1, pp. 70-70
Open Access
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