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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:

Short-Term Traffic Flow Forecasting Method With M-B-LSTM Hybrid Network
Zhaowei Qu, Haitao Li, Zhihui Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 23, Iss. 1, pp. 225-235
Closed Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Unidirectional and Bidirectional LSTM Models for Short-Term Traffic Prediction
Rusul Abduljabbar, Hussein Dia, Pei‐Wei Tsai
Journal of Advanced Transportation (2021) Vol. 2021, pp. 1-16
Open Access | Times Cited: 98
Multi-view dynamic graph convolution neural network for traffic flow prediction
Xiaohui Huang, Yuming Ye, Xiaofei Yang, et al.
Expert Systems with Applications (2023) Vol. 222, pp. 119779-119779
Closed Access | Times Cited: 35
Short-Term Traffic Prediction Using Deep Learning Long Short-Term Memory: Taxonomy, Applications, Challenges, and Future Trends
Anwar Khan, Mostafa M. Fouda, Dinh‐Thuan Do, et al.
IEEE Access (2023) Vol. 11, pp. 94371-94391
Open Access | Times Cited: 22
Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction
He Li, Xuejiao Li, Liangcai Su, et al.
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 13, Iss. 2, pp. 1-21
Closed Access | Times Cited: 30
Confined attention mechanism enabled Recurrent Neural Network framework to improve traffic flow prediction
Nisha Singh Chauhan, Neetesh Kumar
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108791-108791
Closed Access | Times Cited: 7
Edge Intelligence in Softwarized 6G: Deep Learning-enabled Network Traffic Predictions
Shah Zeb, Muhammad Ahmad Rathore, Aamir Mahmood, et al.
2022 IEEE Globecom Workshops (GC Wkshps) (2021), pp. 1-6
Open Access | Times Cited: 32
Self-Supervised Spatiotemporal Graph Neural Networks With Self-Distillation for Traffic Prediction
Junzhong Ji, Fan Yu, Minglong Lei
IEEE Transactions on Intelligent Transportation Systems (2022), pp. 1-14
Closed Access | Times Cited: 22
Traffic flow prediction under multiple adverse weather based on self-attention mechanism and deep learning models
Wensong Zhang, Ronghan Yao, Xiaojing Du, et al.
Physica A Statistical Mechanics and its Applications (2023) Vol. 625, pp. 128988-128988
Closed Access | Times Cited: 14
Research on Support Vector Regression Short-Time Traffic Flow Prediction Model for Secondary Roads Based on Associated Road Analysis
Ganglong Duan, Yutong Du, Yanying Shang, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1779-1779
Open Access
Smart Organization of Imbalanced Traffic Datasets for Long-Term Traffic Forecasting
M. Kara, H. İrem Türkmen, M. Amaç Güvensan
Sensors (2025) Vol. 25, Iss. 4, pp. 1225-1225
Open Access
A unified traffic flow prediction model considering node differences, spatio-temporal features, and local-global dynamics
Qian Shang, Qingyong Zhang, Ju Cao, et al.
Physica A Statistical Mechanics and its Applications (2025), pp. 130554-130554
Closed Access
Performance and improvement of deep learning algorithms based on LSTM in traffic flow prediction
Wei Xu, Eric Blancaflor, Mideth Abisado
Deleted Journal (2025) Vol. 7, Iss. 4
Open Access
Resampling and ensemble techniques for improving ANN-based high-flow forecast accuracy
Everett Snieder, Karen Abogadil, Usman T. Khan
Hydrology and earth system sciences (2021) Vol. 25, Iss. 5, pp. 2543-2566
Open Access | Times Cited: 29
Graph Attention Network With Spatial-Temporal Clustering for Traffic Flow Forecasting in Intelligent Transportation System
Yan Chen, Tian Shu, Xiaokang Zhou, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 24, Iss. 8, pp. 8727-8737
Closed Access | Times Cited: 21
Autonomous Short-Term Traffic Flow Prediction Using Pelican Optimization with Hybrid Deep Belief Network in Smart Cities
Gouse Pasha Mohammed, Naif Alasmari, Hadeel Alsolai, et al.
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 10828-10828
Open Access | Times Cited: 20
Spatiotemporal correlation modelling for machine learning-based traffic state predictions: state-of-the-art and beyond
Haipeng Cui, Qiang Meng, Teck-Hou Teng, et al.
Transport Reviews (2023) Vol. 43, Iss. 4, pp. 780-804
Closed Access | Times Cited: 12
A Long-Term Traffic Flow Prediction Model Based on Variational Mode Decomposition and Auto-Correlation Mechanism
Kaixin Guo, Xin Yu, Gaoxiang Liu, et al.
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 7139-7139
Open Access | Times Cited: 12
Short-Term Mobile Network Traffic Forecasting Using Seasonal ARIMA and Holt-Winters Models
Irina Kochetkova, Anna Kushchazli, Sofia Burtseva, et al.
Future Internet (2023) Vol. 15, Iss. 9, pp. 290-290
Open Access | Times Cited: 12
RL-GCN: Traffic flow prediction based on graph convolution and reinforcement learning for smart cities
Hang Xing, An Chen, Xuan Zhang
Displays (2023) Vol. 80, pp. 102513-102513
Closed Access | Times Cited: 12
A Transfer Learning–Based LSTM for Traffic Flow Prediction with Missing Data
Zhao Zhang, Hao Yang, Xianfeng Yang
Journal of Transportation Engineering Part A Systems (2023) Vol. 149, Iss. 10
Closed Access | Times Cited: 11
Traffic Signal Timing Optimization Model Based on Video Surveillance Data and Snake Optimization Algorithm
Ruixiang Cheng, Zhihao Qiao, Jiarui Li, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5157-5157
Open Access | Times Cited: 9
Adaptive hyperparameter optimization for short term traffic flow prediction with spatial temporal correlated raster data
Ashwin Raut, Manish Kumar Maurya, Vijay Kumar Chaurasiya, et al.
Evolving Systems (2023) Vol. 15, Iss. 2, pp. 469-488
Closed Access | Times Cited: 9
SSGCRTN: a space-specific graph convolutional recurrent transformer network for traffic prediction
Shiyu Yang, Qunyong Wu, Yuhang Wang, et al.
Applied Intelligence (2024) Vol. 54, Iss. 22, pp. 11978-11994
Closed Access | Times Cited: 3
A Two-Stage Hybrid Extreme Learning Model for Short-Term Traffic Flow Forecasting
Zhihan Cui, Boyu Huang, Haowen Dou, et al.
Mathematics (2022) Vol. 10, Iss. 12, pp. 2087-2087
Open Access | Times Cited: 14
GSTC-Unet: A U-shaped multi-scaled spatiotemporal graph convolutional network with channel self-attention mechanism for traffic flow forecasting
Wangzhi Yu, Xiaoling Huang, Yilei Qiu, et al.
Expert Systems with Applications (2023) Vol. 232, pp. 120724-120724
Closed Access | Times Cited: 8
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