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:

RGDAN: A random graph diffusion attention network for traffic prediction
Jin Fan, Wenchao Weng, Hao Tian, et al.
Neural Networks (2024) Vol. 172, pp. 106093-106093
Closed Access | Times Cited: 15

Showing 15 citing articles:

Multi-level urban street representation with street-view imagery and hybrid semantic graph
Yan Zhang, Yong Li, Fan Zhang
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 218, pp. 19-32
Closed Access | Times Cited: 4

An optimized spatial target trajectory prediction model for multi-sensor data fusion in air traffic management
Jian Dong, Yuan Xu, Rigeng Wu, et al.
Engineering Science and Technology an International Journal (2025) Vol. 63, pp. 101994-101994
Closed Access

Traffic Forecasting Using Spatio-Temporal Dynamics and Attention with Graph Attention PDEs
Ghadah Almousa, Yugyung Lee
Information Sciences (2025), pp. 122108-122108
Closed Access

Transformer-Enhanced Adaptive Graph Convolutional Network for Traffic Flow Prediction
Elgan Huang, Zhanshan Zhao, Jiao Yin, et al.
ACM Transactions on Intelligent Systems and Technology (2025)
Closed Access

Emerging Trends in Graph Neural Networks for Traffic Flow Prediction: A Survey
Guangrui Fan, Aznul Qalid Md Sabri, Siti Soraya Abdul Rahman, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access

A multi-timescale dynamic graph attention network (MTDGAT) for short-term traffic prediction under special events
Lei Tian, Yuxin Ding, Jingpeng Wen, et al.
Expert Systems with Applications (2025), pp. 127649-127649
Closed Access

DTSFormer: Decoupled temporal-spatial diffusion transformer for enhanced long-term time series forecasting
Jiaming Zhu, Dezhi Liu, Huayou Chen, et al.
Knowledge-Based Systems (2024), pp. 112828-112828
Closed Access | Times Cited: 3

ChatDiff: A ChatGPT-based diffusion model for long-tailed classification
Chenxun Deng, Dafang Li, Ji Lin, et al.
Neural Networks (2024) Vol. 181, pp. 106794-106794
Closed Access | Times Cited: 2

WITHDRAWN: FCDNet: Frequency-guided complementary dependency modeling for multivariate time-series forecasting
Weijun Chen, Heyuan Wang, Ye Tian, et al.
Neural Networks (2024), pp. 106385-106385
Closed Access | Times Cited: 1

Learning dynamic graph representations through timespan view contrasts
Yiming Xu, Zhen Peng, Bin Shi, et al.
Neural Networks (2024) Vol. 176, pp. 106384-106384
Closed Access

Diffusion probabilistic model for bike-sharing demand recovery with factual knowledge fusion
Li Huang, Pei Li, Qiang Gao, et al.
Neural Networks (2024) Vol. 179, pp. 106538-106538
Closed Access

Multi-dynamic residual graph convolutional network with global feature enhancement for traffic flow prediction
X. Li, Xiang Yin, Xiaoling Huang, et al.
International Journal of Machine Learning and Cybernetics (2024)
Closed Access

Multi-view scene matching with relation aware feature perception
Bo Sun, Ganchao Liu, Yuan Yuan
Neural Networks (2024) Vol. 180, pp. 106662-106662
Closed Access

ST-GMLP: A concise spatial-temporal framework based on gated multi-layer perceptron for traffic flow forecasting
Yong Luo, Jianying Zheng, Xiang Wang, et al.
Neural Networks (2024) Vol. 184, pp. 107074-107074
Closed Access

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