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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:

Spatiotemporal informer: A new approach based on spatiotemporal embedding and attention for air quality forecasting
Yang Feng, Ju-Song Kim, Jin‐Won Yu, et al.
Environmental Pollution (2023) Vol. 336, pp. 122402-122402
Closed Access | Times Cited: 13

Showing 13 citing articles:

Spatiotemporal hierarchical transmit neural network for regional-level air-quality prediction
Xiaoxia Chen, Hanzhong Xia, Min Wu, et al.
Knowledge-Based Systems (2024) Vol. 289, pp. 111555-111555
Closed Access | Times Cited: 8
A multi-graph spatial-temporal attention network for air-quality prediction
Xiaoxia Chen, Yue Hu, Fangyan Dong, et al.
Process Safety and Environmental Protection (2023) Vol. 181, pp. 442-451
Open Access | Times Cited: 19
A spatiotemporal deep learning ensemble for multi-step PM2.5 prediction: A case study of Bangkok metropolitan region in Thailand
Veerasit Kaewbundit, Chaiyo Churngam, Papis Wongchaisuwat
Atmospheric Pollution Research (2025), pp. 102406-102406
Closed Access
Apply a deep learning hybrid model optimized by an Improved Chimp Optimization Algorithm in PM2.5 prediction
Ming Wei, Xiaopeng Du
Machine Learning with Applications (2025), pp. 100624-100624
Open Access
Dynamic synchronous graph transformer network for region-level air-quality forecasting
Hanzhong Xia, Xiaoxia Chen, Binjie Chen, et al.
Neurocomputing (2024), pp. 128924-128924
Closed Access | Times Cited: 3
A Multi-Modal Deep-Learning Air Quality Prediction Method Based on Multi-Station Time-Series Data and Remote-Sensing Images: Case Study of Beijing and Tianjin
Hanzhong Xia, Xiaoxia Chen, Zhen Wang, et al.
Entropy (2024) Vol. 26, Iss. 1, pp. 91-91
Open Access | Times Cited: 2
Data analysis and preprocessing techniques for air quality prediction: a survey
Chengqing Yu, Jing Tan, Yihan Cheng, et al.
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 6, pp. 2095-2117
Closed Access | Times Cited: 1
Deep learning models for air quality forecasting based on spatiotemporal characteristics of data
Khawar Rehman, Irfan Abid, Seung-Ho Hong
Physics of Fluids (2024) Vol. 36, Iss. 5
Closed Access | Times Cited: 1
PMformer: A Novel Informer-based Model for Accurate Long-Term Time Series Prediction
Yuewei Xue, Shaopeng Guan, Wanhai Jia
Information Sciences (2024), pp. 121586-121586
Closed Access | Times Cited: 1
Improving the Accuracy of Multi-Step Prediction of Railway Freight Volume Based on Informer Model
Jiaqi Liu, Yun Jing
(2024), pp. 444-448
Closed Access
ADWT : Effective Air Quality Prediction Via Discrete Wavelet Transform and Attention based Neural Networks
Shuaixiang Shi
(2024), pp. 309-312
Closed Access
An ocean tidal energy point-interval forecasting system based on enhanced auxiliary feature, mode decomposition combined with compressive sensing and attention interaction
Hong Yang, Qingsong Wu, Guohui Li
Journal of Cleaner Production (2024), pp. 143680-143680
Closed Access
Spatiotemporal analysis of airborne pollutants and health risks in Mashhad metropolis: enhanced insights through sensitivity analysis and machine learning
Fahimeh Ahmadian, Saeed Rajabi, Sobhan Maleky, et al.
Environmental Geochemistry and Health (2024) Vol. 47, Iss. 2
Closed Access
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