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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:

Hybrid deep learning models for traffic prediction in large-scale road networks
Zheng Ge, Wei Koong Chai, Jing‐Lin Duanmu, et al.
Information Fusion (2022) Vol. 92, pp. 93-114
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

STGAFormer: Spatial–temporal Gated Attention Transformer based Graph Neural Network for traffic flow forecasting
Zili Geng, Jie Xu, Rongsen Wu, et al.
Information Fusion (2024) Vol. 105, pp. 102228-102228
Closed Access | Times Cited: 22
A systematic review of generative adversarial networks for traffic state prediction: Overview, taxonomy, and future prospects
Ying Li, Fan Bai, Cheng Lyu, et al.
Information Fusion (2025) Vol. 117, pp. 102915-102915
Closed Access | Times Cited: 3
ADCT-Net: Adaptive traffic forecasting neural network via dual-graphic cross-fused transformer
Jianlei Kong, Xiaomeng Fan, Min Zuo, et al.
Information Fusion (2023) Vol. 103, pp. 102122-102122
Closed Access | Times Cited: 25
Information fusion for multi-scale data: Survey and challenges
Qinghua Zhang, Ying Yang, Yunlong Cheng, et al.
Information Fusion (2023) Vol. 100, pp. 101954-101954
Closed Access | Times Cited: 22
Time-dependent trip generation for bike sharing planning: A multi-task memory-augmented graph neural network
Yuebing Liang, Zhan Zhao, Fangyi Ding, et al.
Information Fusion (2024) Vol. 106, pp. 102294-102294
Closed Access | Times Cited: 9
A comprehensive survey of deep learning-based lightweight object detection models for edge devices
Payal Mittal
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 9
Federated deep learning for smart city edge-based applications
Youcef Djenouri, Tomasz Michalak, Jerry Chun‐Wei Lin
Future Generation Computer Systems (2023) Vol. 147, pp. 350-359
Closed Access | Times Cited: 18
STFGCN: Spatial–temporal fusion graph convolutional network for traffic prediction
Hao Li, Jie Liu, Shiyuan Han, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124648-124648
Closed Access | Times Cited: 6
SFGCN: Synergetic Fusion-based Graph Convolutional Networks Approach for Link Prediction in Social Networks
Sang-Woong Lee, Jawad Tanveer, Amir Masoud Rahmani, et al.
Information Fusion (2024) Vol. 114, pp. 102684-102684
Closed Access | Times Cited: 5
Artificial Intelligence (AI)-Driven Traffic Solutions: Enhancing Green Transportation Through Predictive Analytics and Deep Learning
Ganesh Khekare, Uddhav Khetan, Purav Nirav Doshi
Lecture notes in intelligent transportation and infrastructure (2025), pp. 319-334
Closed Access
Advanced Network Traffic Prediction Using Deep Learning Techniques: A Comparative Study of SVR, LSTM, GRU, and Bidirectional LSTM Models
Yuxin Wang
ITM Web of Conferences (2025) Vol. 70, pp. 03021-03021
Open Access
A Multi-Frame Fusion Temporal Approach for 3d Lane Detection from Monocular Images
J. L. Bi, Yongchao Song, Lijun Sun, et al.
(2025)
Closed Access
Lightweighting the prediction process of urban states with parameter sharing and dilated operations
Peixiao Wang, Haolong Yang, Hengcai Zhang, et al.
International Journal of Digital Earth (2025) Vol. 18, Iss. 1
Open Access
ASTTN: An Adaptive Spatial–Temporal Transformer Network for traffic flow prediction
Zijie Xue, Linyu Huang, Qian Ning
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110263-110263
Closed Access
Gformer: a novel spatio-temporal transformer network for accurate traffic flow prediction
Yuan Zhao, Mingxin Li, Hang Lei, et al.
International Journal of Machine Learning and Cybernetics (2025)
Closed Access
Modeling Traffic Congestion Spreading Using a Topology-Based SIR Epidemic Model
Assemgul Kozhabek, Wei Koong Chai, Zheng Ge
IEEE Access (2024) Vol. 12, pp. 35813-35826
Open Access | Times Cited: 4
PreSTNet: Pre-trained Spatio-Temporal Network for traffic forecasting
Shen Fang, Wei Ji, Shiming Xiang, et al.
Information Fusion (2024) Vol. 106, pp. 102241-102241
Closed Access | Times Cited: 3
Cluster-based local modeling (CBLM) paradigm meets deep learning: A novel approach to soil moisture estimation
Vahid Moosavi, Golnaz Zuravand, Seyed Rashid Fallah Shamsi
Journal of Hydrology (2024) Vol. 635, pp. 131161-131161
Closed Access | Times Cited: 3
Toward real-time operations of modular-vehicle transit services: From rolling horizon control to learning-based approach
Qingyun Tian, Yun Hui Lin, David Z.W. Wang, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 170, pp. 104938-104938
Closed Access | Times Cited: 3
Demand response method considering multiple types of flexible loads in industrial parks
Jia Cui, Mingze Gao, Xiaoming Zhou, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106060-106060
Open Access | Times Cited: 8
Adaptive signal light timing for regional traffic optimization based on graph convolutional network empowered traffic forecasting
Tingting Fu, Liyao Wang, Sahil Garg, et al.
Information Fusion (2023) Vol. 103, pp. 102072-102072
Closed Access | Times Cited: 7
Adding attention to the neural ordinary differential equation for spatio-temporal prediction
Peixiao Wang, Tong Zhang, Hengcai Zhang, et al.
International Journal of Geographical Information Science (2023) Vol. 38, Iss. 1, pp. 156-181
Open Access | Times Cited: 7
Multimodal Joint Prediction of Traffic Spatial-Temporal Data with Graph Sparse Attention Mechanism and Bidirectional Temporal Convolutional Network
Dongran Zhang, Jiangnan Yan, Kemal Polat, et al.
(2024)
Closed Access | Times Cited: 2
Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional network
Dongran Zhang, Jiangnan Yan, Kemal Polat, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102533-102533
Closed Access | Times Cited: 2
Enhancing Road Traffic Prediction Using Data Preprocessing Optimization
Tanya Garg, Gurjinder Kaur, Prashant Singh Rana, et al.
Journal of Circuits Systems and Computers (2024)
Closed Access | Times Cited: 2
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