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:

A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction
Haifeng Zheng, Feng Lin, Xinxin Feng, et al.
IEEE Transactions on Intelligent Transportation Systems (2020) Vol. 22, Iss. 11, pp. 6910-6920
Open Access | Times Cited: 393

Showing 51-75 of 393 citing articles:

Traffic flow prediction using bi-directional gated recurrent unit method
Shengyou Wang, Chunfu Shao, Jie Zhang, et al.
Urban Informatics (2022) Vol. 1, Iss. 1
Open Access | Times Cited: 27

PrivacySignal: Privacy-Preserving Traffic Signal Control for Intelligent Transportation System
Zuobin Ying, Shuanglong Cao, Ximeng Liu, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 9, pp. 16290-16303
Closed Access | Times Cited: 26

The predicting public sentiment evolution on public emergencies under deep learning and internet of things
Min Chen, Wenhu Du
The Journal of Supercomputing (2022) Vol. 79, Iss. 6, pp. 6452-6470
Closed Access | Times Cited: 26

Forecasting traffic flow with spatial–temporal convolutional graph attention networks
Xiyue Zhang, Yong Xu, Yizhen Shao
Neural Computing and Applications (2022) Vol. 34, Iss. 18, pp. 15457-15479
Closed Access | Times Cited: 24

GCN-GAN: Integrating Graph Convolutional Network and Generative Adversarial Network for Traffic Flow Prediction
Hongling Zheng, Xiang Li, Yongfeng Li, et al.
IEEE Access (2022) Vol. 10, pp. 94051-94062
Open Access | Times Cited: 24

Spatial-temporal graph convolutional networks for traffic flow prediction considering multiple traffic parameters
Ziyi Su, Tong Liu, Xiatong Hao, et al.
The Journal of Supercomputing (2023) Vol. 79, Iss. 16, pp. 18293-18312
Closed Access | Times Cited: 13

Traffic demand prediction based on spatial-temporal guided multi graph Sandwich-Transformer
Yanjie Wen, Zhihong Li, Xiaoyu Wang, et al.
Information Sciences (2023) Vol. 643, pp. 119269-119269
Closed Access | Times Cited: 13

Enhancing the online estimation of finger kinematics from sEMG using LSTM with attention mechanisms
Zijian Wang, Caihua Xiong, Qin Zhang
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 105971-105971
Closed Access | Times Cited: 5

Hyper-Flophet: A neural Prophet-based model for traffic flow forecasting in transportation systems
Kawthar Zaraket, Hassan Harb, Ismail Bennis, et al.
Simulation Modelling Practice and Theory (2024) Vol. 134, pp. 102954-102954
Closed Access | Times Cited: 5

Adaptive graph neural network for traffic flow prediction considering time variation
Fenghao Chen, Xiaoyong Sun, Yuchen Wang, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124430-124430
Closed Access | Times Cited: 5

Anomaly Detection in Traffic Systems
C. R. Jothy, J. E. Judith, Jose Anand
IGI Global eBooks (2025), pp. 83-114
Closed Access

Combining POA-VMD for multi-machine learning methods to predict ammonia nitrogen in the largest freshwater lake in China (Poyang Lake)
Chengming Luo, Xihua Wang, Y. Jun Xu, et al.
Journal of Water Process Engineering (2025) Vol. 72, pp. 107511-107511
Closed Access

Unveiling the frontiers of deep learning: Innovations shaping diverse domains
Shams Forruque Ahmed, Md. Sakib Bin Alam, Maliha Kabir, et al.
Applied Intelligence (2025) Vol. 55, Iss. 7
Open Access

A benchmark for cycling close pass detection from video streams
Mingjie Li, Ben Beck, Tharindu Rathnayake, et al.
Transportation Research Part C Emerging Technologies (2025) Vol. 174, pp. 105112-105112
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

GSA-KAN: A Hybrid Model for Short-Term Traffic Forecasting
Zhizhe Lin, Dawei Wang, Chuxin Cao, et al.
Mathematics (2025) Vol. 13, Iss. 7, pp. 1158-1158
Open Access

A Review of Traffic Flow Prediction Methods in Intelligent Transportation System Construction
Runpeng Liu, Seong-Yoon Shin
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3866-3866
Open 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

Deep spatio-temporal dependent convolutional LSTM network for traffic flow prediction
Jie Tang, Rong Zhu, Fengyun Wu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

A Hybrid DSCNN-BiLSTM Model for Accurate Wind Turbine Temperature Prediction
Xinping Li, Zhihui Qi, Zhengrong Zhou, et al.
Processes (2025) Vol. 13, Iss. 4, pp. 1143-1143
Open Access

Short-term prediction of outbound truck traffic from the exchange of information in logistics hubs: A case study for the port of Rotterdam
Ali Nadi, Salil Sharma, Maaike Snelder, et al.
Transportation Research Part C Emerging Technologies (2021) Vol. 127, pp. 103111-103111
Open Access | Times Cited: 31

Trajectory Prediction of Hypersonic Glide Vehicle Based on Empirical Wavelet Transform and Attention Convolutional Long Short-Term Memory Network
Junbiao Zhang, Jiajun Xiong, Xuhui Lan, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 5, pp. 4601-4615
Closed Access | Times Cited: 19

Short‐term passenger flow forecasting using CEEMDAN meshed CNN‐LSTM‐attention model under wireless sensor network
Wang Jiaxuan, Rui Wang, Xin Zeng
IET Communications (2022) Vol. 16, Iss. 10, pp. 1253-1263
Closed Access | Times Cited: 19

Principal graph embedding convolutional recurrent network for traffic flow prediction
Han Yang, Shengjie Zhao, Hao Deng, et al.
Applied Intelligence (2023) Vol. 53, Iss. 14, pp. 17809-17823
Closed Access | Times Cited: 12

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