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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:

Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting
Ling Chen, Jiahui Xu, Binqing Wu, et al.
ACM Transactions on Knowledge Discovery from Data (2023) Vol. 18, Iss. 3, pp. 1-20
Open Access | Times Cited: 23

Showing 23 citing articles:

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
Guangyin Jin, Yuxuan Liang, Yuchen Fang, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 10, pp. 5388-5408
Open Access | Times Cited: 119
AirFormer: Predicting Nationwide Air Quality in China with Transformers
Yuxuan Liang, Yutong Xia, Songyu Ke, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 12, pp. 14329-14337
Open Access | Times Cited: 57
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
Graph Neural Network for Spatiotemporal Data: Methods and Applications
Yun Li, Dazhou Yu, Zhenke Liu, et al.
(2024)
Open Access | Times Cited: 5
Application of perceptual graph neural network intelligent algorithm in software testing platform
Xiaobao Fu
International Journal of Computers and Applications (2025), pp. 1-10
Closed Access
TPST: A Traffic Flow Prediction Model Based on Spatial–Temporal Identity
Y. Hou, Buqing Cao, Jianxun Liu, et al.
Concurrency and Computation Practice and Experience (2025) Vol. 37, Iss. 4-5
Closed Access
A community-aware graph neural network applied to geographical location-based representation learning and clustering within GIS
Phu Pham, Loan T. T. Nguyen, Hoai Thuong Sarah, et al.
Expert Systems with Applications (2025), pp. 127252-127252
Closed Access
Graph-based deep learning techniques for remote sensing applications: Techniques, taxonomy, and applications — A comprehensive review
Manel Khazri Khlifi, Wadii Boulila, Imed Riadh Farah
Computer Science Review (2023) Vol. 50, pp. 100596-100596
Closed Access | Times Cited: 11
Enhancing Air Quality Forecasting: A Novel Spatio-Temporal Model Integrating Graph Convolution and Multi-Head Attention Mechanism
Yumeng Wang, Ke Liu, Yuejun He, et al.
Atmosphere (2024) Vol. 15, Iss. 4, pp. 418-418
Open Access | Times Cited: 2
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer
Vinayak Gupta, Srikanta Bedathur
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 13, Iss. 3, pp. 1-24
Open Access | Times Cited: 13
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: 2
Uncertainty graph convolution recurrent neural network for air quality forecasting
Dong Mei, Yue Sun, Yutao Jin, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102651-102651
Closed Access | Times Cited: 1
Multi-Spatial Multi-Temporal Air Quality Forecasting with Integrated Monitoring and Reanalysis Data
Yuxiao Hu, Qian Li, Xiaodan Shi, et al.
(2024)
Open Access
Predicting air quality using a multi-scale spatiotemporal graph attention network
Xinmeng Zhou, Jingyi Wang, Junyi Wang, et al.
Information Sciences (2024) Vol. 680, pp. 121072-121072
Closed Access
Rapid assessment of large-scale urban destruction in conflict zones using hypergraph-based visual-structural machine learning
Xinjie Zhao, So Morikawa
Journal of Engineering Research (2024)
Open Access
Efficient Group-Aware Graph Neural Network for Air Quality Forecasting in Small-scale Spaces
Jisheng Qin, Zijie Liu, Wangtong Sui, et al.
(2024), pp. 1-3
Closed Access
Batch process soft sensing based on data-stacking multiscale adaptive graph neural network
Yan Zhang, Kaiwen Sun, Benben Tuo, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016211-016211
Closed Access
Forecasting urban agglomeration air quality: A data-driven model with the Gaussian Decoupled Representation Extractor
W.X. Li, Yingfang Zhu
IEEE Access (2024) Vol. 12, pp. 183103-183116
Open Access
Spatio-Temporal Data Mining with Information Integrity Protection: Graph Signal Based Air Quality Prediction
Jun‐Cheng Jin, Junhao Zhang, Junjie Tang, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 5190-5194
Closed Access
Time-lagged relation graph neural network for multivariate time series forecasting
Xing Feng, Hongru Li, Ying Yang
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109530-109530
Closed Access
Lightweight Model Using Graph Neural Networks for Air Quality Impact Assessment on Human Health
Tang Nguyen-Tan, Quan Le‐Trung
2022 RIVF International Conference on Computing and Communication Technologies (RIVF) (2022), pp. 1-6
Closed Access | Times Cited: 1
Study and Prediction of Air Quality in Smart Cities through Machine Learning Techniques Considering Spatiotemporal Components
Ditsuhi Iskandaryan
(2023)
Open Access
Temporal Difference-based Graph Transformer Networks for Air Quality PM2.5 Prediction: A Case Study in China
Zhen Zhang, Shiqing Zhang, Xiaoming Zhao, et al.
Research Square (Research Square) (2022)
Open Access
Learning from Multiple Time Series: A Deep Disentangled Approach to Diversified Time Series Forecasting
Ling Chen, Weiqi Chen, Binqing Wu, et al.
arXiv (Cornell University) (2021)
Closed Access
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