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:

Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting
Ling Chen, Donghui Chen, Zongjiang Shang, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 10, pp. 10748-10761
Open Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Deep Learning for Time Series Forecasting: Advances and Open Problems
Angelo Casolaro, Vincenzo Capone, Gennaro Iannuzzo, et al.
Information (2023) Vol. 14, Iss. 11, pp. 598-598
Open Access | Times Cited: 45

Multivariate time series prediction with multi-feature analysis
Junfeng Chen, Azhu Guan, Jingjing Du, et al.
Expert Systems with Applications (2025) Vol. 268, pp. 126302-126302
Closed Access | Times Cited: 2

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: 24

Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
Yucheng Wang, Yuecong Xu, Jianfei Yang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 14, pp. 15715-15724
Open Access | Times Cited: 15

GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing
Chengqing Yu, Fei Wang, Zezhi Shao, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 3989-4000
Open Access | Times Cited: 10

DGMSCL: A dynamic graph mixed supervised contrastive learning approach for class imbalanced multivariate time series classification
Lipeng Qian, Qiong Zuo, Dahu Li, et al.
Neural Networks (2025) Vol. 185, pp. 107131-107131
Closed Access | Times Cited: 1

RSMformer: an efficient multiscale transformer-based framework for long sequence time-series forecasting
Guoxiang Tong, Zhaoyuan Ge, Dunlu Peng
Applied Intelligence (2024) Vol. 54, Iss. 2, pp. 1275-1296
Closed Access | Times Cited: 6

Dynamic multi-granularity spatial-temporal graph attention network for traffic forecasting
Wei Sang, Huiliang Zhang, Xianchang Kang, et al.
Information Sciences (2024) Vol. 662, pp. 120230-120230
Closed Access | Times Cited: 6

Deep learning-based spatial-temporal graph neural networks for price movement classification in crude oil and precious metal markets
Parisa Foroutan, Salim Lahmiri
Machine Learning with Applications (2024) Vol. 16, pp. 100552-100552
Open Access | Times Cited: 5

Parallel Multi-Scale Dynamic Graph Neural Network for Multivariate Time Series Forecasting
Mingjie Hou, Zhenyu Liu, Guodong Sa, et al.
Pattern Recognition (2024), pp. 111037-111037
Closed Access | Times Cited: 4

A noval Dual-Parameter Structural Model with Enhanced traffic flow representations
Yuxin Wu, Xudong Zhang, Haina Tang
Neurocomputing (2025), pp. 129401-129401
Closed Access

Zero-Shot Traffic Identification with Attribute and Graph-Based Representations for Edge Computing
Zikui Lu, Zixi Chang, Mingshu He, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 545-545
Open Access

GDRNet: a channel grouping based time-slice dilated residual network for long-term time-series forecasting
Qian‐Lei Bao, Shengfa Miao, Yulin Tian, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Closed Access

TVC Former: A transformer-based long-term multivariate time series forecasting method using time-variable coupling correlation graph
Zhenyu Liu, Yuan Feng, Hui Liu, et al.
Knowledge-Based Systems (2025), pp. 113147-113147
Closed Access

Dynamic Graph-Based Bilateral Recurrent Imputation Network for Multivariate Time Series
Xiaochen Lai, Zheng Zhang, Liyong Zhang, et al.
Neural Networks (2025) Vol. 186, pp. 107298-107298
Closed Access

DuoGNN: Topology-Aware Graph Neural Network with Homophily and Heterophily Interaction-Decoupling
Kevin Mancini, Islem Rekik
Lecture notes in computer science (2025), pp. 129-140
Closed Access

Multimodal urban traffic flow prediction based on time series imaging
Qiang Lv, Lijuan Liu, Ruotong Yang, et al.
Pattern Recognition (2025), pp. 111499-111499
Closed Access

DAMixer: A dual-stage attention-based mixer model for multivariate time series forecasting
Jiashan Wan, Na Xia, Bing Cai, et al.
Expert Systems with Applications (2025) Vol. 274, pp. 127030-127030
Closed Access

Multi-scale 4D localized spatio-temporal graph convolutional networks for spatio-temporal sequences forecasting in aluminum electrolysis
Yubo Sun, Xiaofang Chen, Weihua Gui, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103222-103222
Closed Access

CPAT: cross-patch aggregated transformer for time series forecasting
Bingyan Liu, Li Wu, Xiaoying Wang, et al.
Machine Learning (2025) Vol. 114, Iss. 5
Closed Access

Operating condition feature representation-based Fourier graph network for civil aircraft state estimation
Hao Liu, Youchao Sun, Xiaoyu Wang, et al.
Reliability Engineering & System Safety (2025), pp. 111085-111085
Closed Access

VTformer: a novel multiscale linear transformer forecaster with variate-temporal dependency for multivariate time series
Rui Dai, Zheng Wang, Jing Jie, et al.
Complex & Intelligent Systems (2025) Vol. 11, Iss. 6
Open Access

Evolutionary neural architecture search for automatically designing CNN-GRU-Attention neural networks for turntable servo systems
Cheng Xie, Bing Xue, Mingyi Yang, et al.
Expert Systems with Applications (2025), pp. 127765-127765
Closed Access

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