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:

ST-3DGMR: Spatio-temporal 3D grouped multiscale ResNet network for region-based urban traffic flow prediction
Rui He, Yunpeng Xiao, Xingyu Lu, et al.
Information Sciences (2022) Vol. 624, pp. 68-93
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

PKET-GCN: Prior knowledge enhanced time-varying graph convolution network for traffic flow prediction
Yinxin Bao, Jiali Liu, Qin-Qin Shen, et al.
Information Sciences (2023) Vol. 634, pp. 359-381
Closed Access | Times Cited: 25

Residual attention enhanced Time-varying Multi-Factor Graph Convolutional Network for traffic flow prediction
Yinxin Bao, Qin-Qin Shen, Yang Cao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108135-108135
Closed Access | Times Cited: 8

A spatial interpolation method based on 3D-CNN for soil petroleum hydrocarbon pollution
Sheng Miao, Ni Guo, Guangze Kong, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0316940-e0316940
Open Access

Dynamic Graph Convolution and Interaction Network for Traffic Flow Forecasting
Hongxia He, Xi Li, Peng Chen, et al.
Research Square (Research Square) (2025)
Closed Access

Social knowledge and information management in the field of urban intelligent transportation
Marta Daroń
Management (2025), Iss. 1, pp. 297-314
Closed Access

Deep spatio-temporal 3D dilated dense neural network for traffic flow prediction
Rui He, Cuijuan Zhang, Yunpeng Xiao, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121394-121394
Closed Access | Times Cited: 12

Traffic flow prediction: A 3D adaptive multi‐module joint modeling approach integrating spatial‐temporal patterns to capture global features
Zain Ul Abideen, Xiaodong Sun, Chao Sun
Journal of Forecasting (2024) Vol. 43, Iss. 7, pp. 2766-2791
Closed Access | Times Cited: 4

Prediction of High-Speed Traffic Flow around City Based on BO-XGBoost Model
Xin Lü, Chen Cai, RuiDan Gao, et al.
Symmetry (2023) Vol. 15, Iss. 7, pp. 1453-1453
Open Access | Times Cited: 6

Construction of a thinking model for Literary Writing based on Deep Spatio-Temporal Residual Convolutional Neural Networks
Xiaoyang Ren
Multimedia Tools and Applications (2024) Vol. 83, Iss. 27, pp. 69467-69488
Closed Access | Times Cited: 1

STVANet: A spatio-temporal visual attention framework with large kernel attention mechanism for citywide traffic dynamics prediction
Hongtai Yang, Junbo Jiang, Zhan Zhao, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124466-124466
Closed Access | Times Cited: 1

Redefining Urban Traffic Dynamics With TCN-FL Driven Traffic Prediction and Control Strategies
K. M. Karthick Raghunath, C. Rohith Bhat, V. Vinoth Kumar, et al.
IEEE Access (2024) Vol. 12, pp. 115386-115399
Open Access | Times Cited: 1

A traffic flow prediction framework based on integrated federated learning and Recurrent Long short-term networks
Manoj Kumar Pulligilla, C. Vanmathi
Peer-to-Peer Networking and Applications (2024)
Closed Access | Times Cited: 1

Urban Traffic Control Meets Decision Recommendation System: A Survey and Perspective
Qingyuan Ji, Xiaoyue Wen, Junchen Jin, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 10, pp. 2043-2058
Closed Access

A multi-task spatio-temporal fully convolutional model incorporating interaction patterns for traffic flow prediction
Qianqian Zhou, Ping Tu, Nan Chen
International Journal of Geographical Information Science (2024), pp. 1-39
Closed Access

Spatially Constrained Transformer with Efficient Global Relation Modelling for Spatio-Temporal Prediction
Ashutosh Sao, Simon Gottschalk
Frontiers in artificial intelligence and applications (2024)
Open Access

Utilizing Deep Learning for Enhanced Urban Traffic Forecasting: An Analytical Perspective
Sreelekha, Midhunchakkaravarthy
(2024), pp. 2028-2035
Closed Access

Tfgcn: a time-varying fuzzy graph convolutional network for multi-sensor traffic flow forecasting
Rui Wang, Kaizhong Zuo, Shaokun Zhang, et al.
International Journal of Machine Learning and Cybernetics (2024)
Closed Access

Multiscale Spatio-Temporal Aware Graph Recurrent Neural Network for Traffic Prediction
Lei Chang, Weibiao Yang, Kaiyuan Qi, et al.
Research Square (Research Square) (2024)
Open Access

Tucker Decomposition Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction
Genan Dai, Weiyang Kong, Yubao Liu, et al.
ACM Transactions on Intelligent Systems and Technology (2024)
Open Access

Anomaly Detection in Television Digital Channel
Rômulo Fabrício, Agemilson Pimentel, Ruan J.S. Belem, et al.
(2024), pp. 13-18
Closed Access

Temporal graph convolutional network for multi-agent reinforcement learning of action detection
Liangliang Wang, Jiayao Liu, Ke Wang, et al.
Applied Soft Computing (2024) Vol. 163, pp. 111916-111916
Closed Access

MSTMN: a novel meta-attention-based multi-task spatiotemporal network for traffic flow prediction
Qianqian Zhou, Nan Chen
Neural Computing and Applications (2024) Vol. 36, Iss. 36, pp. 23195-23222
Closed Access

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