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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:

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: 385

Showing 1-25 of 385 citing articles:

A Survey of Recent Advances in Edge-Computing-Powered Artificial Intelligence of Things
Zhuoqing Chang, Shubo Liu, Xingxing Xiong, et al.
IEEE Internet of Things Journal (2021) Vol. 8, Iss. 18, pp. 13849-13875
Closed Access | Times Cited: 224
A hybrid deep learning model with 1DCNN-LSTM-Attention networks for short-term traffic flow prediction
Ke Wang, Changxi Ma, Yihuan Qiao, et al.
Physica A Statistical Mechanics and its Applications (2021) Vol. 583, pp. 126293-126293
Closed Access | Times Cited: 171
Traffic flow prediction models – A review of deep learning techniques
Anirudh Ameya Kashyap, Shravan Raviraj, Ananya Devarakonda, et al.
Cogent Engineering (2021) Vol. 9, Iss. 1
Open Access | Times Cited: 111
Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities
Maryam Shaygan, Collin Meese, Wanxin Li, et al.
Transportation Research Part C Emerging Technologies (2022) Vol. 145, pp. 103921-103921
Open Access | Times Cited: 99
A Hybrid-Convolution Spatial–Temporal Recurrent Network For Traffic Flow Prediction
Xu Zhang, Sizhao Wen, Liang Yan, et al.
The Computer Journal (2022) Vol. 67, Iss. 1, pp. 236-252
Closed Access | Times Cited: 94
Short-term traffic flow prediction based on optimized deep learning neural network: PSO-Bi-LSTM
Bharti, Poonam Redhu, Kranti Kumar
Physica A Statistical Mechanics and its Applications (2023) Vol. 625, pp. 129001-129001
Closed Access | Times Cited: 92
Spatial–Temporal Complex Graph Convolution Network for Traffic Flow Prediction
Yinxin Bao, Jiashuang Huang, Qin-Qin Shen, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 106044-106044
Closed Access | Times Cited: 59
Traffic flow matrix-based graph neural network with attention mechanism for traffic flow prediction
Jian Chen, Zheng Li, Yuzhu Hu, et al.
Information Fusion (2023) Vol. 104, pp. 102146-102146
Closed Access | Times Cited: 49
ST-TrafficNet: A Spatial-Temporal Deep Learning Network for Traffic Forecasting
Huakang Lu, Dongmin Huang, Youyi Song, et al.
Electronics (2020) Vol. 9, Iss. 9, pp. 1474-1474
Open Access | Times Cited: 70
Fine-Grained Vessel Traffic Flow Prediction With a Spatio-Temporal Multigraph Convolutional Network
Maohan Liang, Ryan Wen Liu, Yang Zhan, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 12, pp. 23694-23707
Closed Access | Times Cited: 64
GAN-Based Data Augmentation Strategy for Sensor Anomaly Detection in Industrial Robots
Haodong Lu, Miao Du, Kai Qian, et al.
IEEE Sensors Journal (2021) Vol. 22, Iss. 18, pp. 17464-17474
Closed Access | Times Cited: 61
Spatiotemporal Attention-Based Graph Convolution Network for Segment-Level Traffic Prediction
Duo Li, Joan Lasenby
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 7, pp. 8337-8345
Closed Access | Times Cited: 56
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
Deep spatio-temporal 3D densenet with multiscale ConvLSTM-Resnet network for citywide traffic flow forecasting
Rui He, Yanbing Liu, Yunpeng Xiao, et al.
Knowledge-Based Systems (2022) Vol. 250, pp. 109054-109054
Closed Access | Times Cited: 44
A deep spatio-temporal meta-learning model for urban traffic revitalization index prediction in the COVID-19 pandemic
Yue Wang, Zhiqiang Lv, Zhaoyu Sheng, et al.
Advanced Engineering Informatics (2022) Vol. 53, pp. 101678-101678
Closed Access | Times Cited: 43
DarknetSec: A novel self-attentive deep learning method for darknet traffic classification and application identification
Jinghong Lan, Xudong Liu, Bo Li, et al.
Computers & Security (2022) Vol. 116, pp. 102663-102663
Closed Access | Times Cited: 41
Attention-based Conv-LSTM and Bi-LSTM networks for large-scale traffic speed prediction
Xiaojian Hu, Tong Liu, Xiatong Hao, et al.
The Journal of Supercomputing (2022) Vol. 78, Iss. 10, pp. 12686-12709
Closed Access | Times Cited: 40
A ship trajectory prediction method based on GAT and LSTM
Jiansen Zhao, Zhongwei Yan, Zhenzhen Zhou, et al.
Ocean Engineering (2023) Vol. 289, pp. 116159-116159
Closed Access | Times Cited: 35
RPConvformer: A novel Transformer-based deep neural networks for traffic flow prediction
Yanjie Wen, Ping Xu, Zhihong Li, et al.
Expert Systems with Applications (2023) Vol. 218, pp. 119587-119587
Closed Access | Times Cited: 32
A novel traffic flow prediction model: Variable order fractional grey model based on an improved grey evolution algorithm
Ruyue Zhang, Shuhua Mao, Yuxiao Kang
Expert Systems with Applications (2023) Vol. 224, pp. 119943-119943
Closed Access | Times Cited: 26
A fundamental diagram based hybrid framework for traffic flow estimation and prediction by combining a Markovian model with deep learning
Yuyan Pan, Jifu Guo, Yanyan Chen, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122219-122219
Open Access | Times Cited: 25
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: 24
A Variational Bayesian Inference-Based En-Decoder Framework for Traffic Flow Prediction
Jianlei Kong, Xiaomeng Fan, Xue‐Bo Jin, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 3, pp. 2966-2975
Closed Access | Times Cited: 24
State-of-Charge Estimation and Health Prognosis for Lithium-Ion Batteries Based on Temperature-Compensated Bi-LSTM Network and Integrated Attention Mechanism
Peihang Xu, Chengchao Wang, Jinlu Ye, et al.
IEEE Transactions on Industrial Electronics (2023) Vol. 71, Iss. 6, pp. 5586-5596
Closed Access | Times Cited: 23
Interpretable local flow attention for multi-step traffic flow prediction
Xu Huang, Bowen Zhang, Shanshan Feng, et al.
Neural Networks (2023) Vol. 161, pp. 25-38
Closed Access | Times Cited: 22
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