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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:

Incorporating multimodal context information into traffic speed forecasting through graph deep learning
Yatao Zhang, Tianhong Zhao, Song Gao, et al.
International Journal of Geographical Information Science (2023) Vol. 37, Iss. 9, pp. 1909-1935
Open Access | Times Cited: 22

Showing 22 citing articles:

Revolutionizing Target Detection in Intelligent Traffic Systems: YOLOv8-SnakeVision
Qi Liu, Yang Liu, Da Lin
Electronics (2023) Vol. 12, Iss. 24, pp. 4970-4970
Open Access | Times Cited: 23
Enhancement of traffic forecasting through graph neural network-based information fusion techniques
Shams Forruque Ahmed, Sweety Angela Kuldeep, Sabiha Jannat Rafa, et al.
Information Fusion (2024) Vol. 110, pp. 102466-102466
Open Access | Times Cited: 10
YOLOv8-Lite: A Lightweight Object Detection Model for Real-time Autonomous Driving Systems
Yang Ming, Xiangyu Fan
(2024) Vol. 1, Iss. 1, pp. 1-16
Closed Access | Times Cited: 8
Heterogeneous graph traffic prediction considering spatial information around roads
Jiahui Chen, Lina Yang, Cang Qin, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 128, pp. 103709-103709
Open Access | Times Cited: 7
A Noise-Robust Approach Using Dynamic Graph Neural Networks for Bus Passenger Flow Prediction
Xinyi Zhou, Siyu Sun, Nizar Bouguila, et al.
(2025)
Closed Access
CSSKL: Collaborative Specific-Shared Knowledge Learning framework for cross-city spatiotemporal forecasting in cellular networks
Kaiyuan Lei, Kaiqi Chen, Min Deng, et al.
International Journal of Geographical Information Science (2025), pp. 1-38
Closed Access
Counterfactual explanations for deep learning-based traffic forecasting
Rushan Wang, Yanan Xin, Yatao Zhang, et al.
Communications in Transportation Research (2025) Vol. 5, pp. 100176-100176
Closed Access
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
Counterfactual Explanations for Deep Learning-Based Traffic Forecasting
Rushan Wang, Yanan Xin, Yatao Zhang, et al.
(2024)
Open Access | Times Cited: 3
Integrating Spatio-Temporal Graph Convolutional Networks with Convolutional Neural Networks for Predicting Short-Term Traffic Speed in Urban Road Networks
Seung Bae Jeon, Myeong‐Hun Jeong
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6102-6102
Open Access | Times Cited: 2
Spatio-temporal graph neural networks for missing data completion in traffic prediction
Jiahui Chen, Lina Yang, Yi Yang, et al.
International Journal of Geographical Information Science (2024), pp. 1-19
Closed Access | Times Cited: 2
A PSO-ANN Hybrid Model for Temporal Traffic Speed Forecasts in Urban Environments
Dinesh Solanki, Sunil Sugandhi
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) Vol. 08, Iss. 01, pp. 1-6
Open Access | Times Cited: 1
Integrating singular value decomposition with deep learning for enhanced travel time estimation in multimodal freight transportation networks
M. Al-Janabi, Keivan Borna, Shamsollah Ghanbari, et al.
Expert Systems (2024) Vol. 42, Iss. 1
Closed Access
YOLOv8-BCC: Lightweight Object Detection Model Boosts Urban Traffic Safety
Jun Tang, Zhouxian Lai, Caixian Ye, et al.
Research Square (Research Square) (2024)
Open Access
Enhancing deep learning-based city-wide traffic prediction pipelines through complexity analysis
Nishant Kumar, Martin Henry, Martin Raubal
Research Square (Research Square) (2024)
Open Access
Enhancing Deep Learning-Based City-Wide Traffic Prediction Pipelines Through Complexity Analysis
Nishant Kumar, Martin Henry, Martin Raubal
Data Science for Transportation (2024) Vol. 6, Iss. 3
Open Access
Enhancing urban resilience to extreme weather: the roles of human transition paths among multiple transportation modes
Mengling Qiao, Masahiko Haraguchi, Upmanu Lall
International Journal of Geographical Information Science (2024), pp. 1-20
Closed Access
A tensor decomposition method based on embedded geographic meta-knowledge for urban traffic flow imputation
Xiaoyue Luo, Shifen Cheng, Lizeng Wang, et al.
International Journal of Geographical Information Science (2024) Vol. 39, Iss. 4, pp. 788-816
Closed Access
Networkwide Traffic State Forecasting Using Exogenous Information: A Multi-Dimensional Graph Attention-Based Approach
Syed Islam, Monika Filipovska
Transportation Research Record Journal of the Transportation Research Board (2024)
Open Access
Jointly spatial-temporal representation learning for individual trajectories
Huang Fei, Jianrong Lv, Yang Yue
Computers Environment and Urban Systems (2024) Vol. 112, pp. 102144-102144
Open Access
Urban streets profiling with coupled spatio-temporal characteristics and topological information from the biking perspective
Disheng Yi, Jing Zhang
Computers Environment and Urban Systems (2024) Vol. 113, pp. 102180-102180
Closed Access
Networkwide Traffic State Forecasting Using Exogenous Information: A Multi-Dimensional Graph Attention-Based Approach
Syed Islam, Monika Filipovska
arXiv (Cornell University) (2023)
Open Access
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