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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:

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

Showing 1-25 of 70 citing articles:

Dynamic network embedding survey
Guotong Xue, Ming Zhong, Jianxin Li, et al.
Neurocomputing (2021) Vol. 472, pp. 212-223
Open Access | Times Cited: 172
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
Urban traffic flow prediction techniques: A review
Boris A. Médina-Salgado, Eddy Sánchez-DelaCruz, Pilar Pozos-Parra, et al.
Sustainable Computing Informatics and Systems (2022) Vol. 35, pp. 100739-100739
Open Access | Times Cited: 97
PSO-ELM: A Hybrid Learning Model for Short-Term Traffic Flow Forecasting
Weihong Cai, Junjie Yang, Yidan Yu, et al.
IEEE Access (2020) Vol. 8, pp. 6505-6514
Open Access | Times Cited: 106
A temporal-aware LSTM enhanced by loss-switch mechanism for traffic flow forecasting
Huakang Lu, Zuhao Ge, Youyi Song, et al.
Neurocomputing (2020) Vol. 427, pp. 169-178
Closed Access | Times Cited: 99
Attention meets long short-term memory: A deep learning network for traffic flow forecasting
Weiwei Fang, Wenhao Zhuo, Jingwen Yan, et al.
Physica A Statistical Mechanics and its Applications (2021) Vol. 587, pp. 126485-126485
Closed Access | Times Cited: 73
Spatio-temporal graph convolutional networks for road network inundation status prediction during urban flooding
Faxi Yuan, Yuanchang Xu, Qingchun Li, et al.
Computers Environment and Urban Systems (2022) Vol. 97, pp. 101870-101870
Open Access | Times Cited: 43
Δfree-LSTM: An error distribution free deep learning for short-term traffic flow forecasting
Weiwei Fang, Wenhao Zhuo, Youyi Song, et al.
Neurocomputing (2023) Vol. 526, pp. 180-190
Closed Access | Times Cited: 33
Spatial–temporal graph neural network traffic prediction based load balancing with reinforcement learning in cellular networks
Shang Liu, Miao He, Zhi-Qiang Wu, et al.
Information Fusion (2023) Vol. 103, pp. 102079-102079
Closed Access | Times Cited: 23
Traffic Flow Prediction: An Intelligent Scheme for Forecasting Traffic Flow Using Air Pollution Data in Smart Cities with Bagging Ensemble
Noor Ullah Khan, Munam Ali Shah, Carsten Maple, et al.
Sustainability (2022) Vol. 14, Iss. 7, pp. 4164-4164
Open Access | Times Cited: 32
A Hybrid Deep Learning Method for Short-Term Traffic Flow Forecasting: GSA-LSTM
Bharti Naheliya, Poonam Redhu, Kranti Kumar
Indian Journal of Science and Technology (2023) Vol. 16, Iss. 46, pp. 4358-4368
Open Access | Times Cited: 17
Expressway Speed Prediction Based on Electronic Toll Collection Data
Fumin Zou, Qiang Ren, Junshan Tian, et al.
Electronics (2022) Vol. 11, Iss. 10, pp. 1613-1613
Open Access | Times Cited: 23
Generative Adversarial Networks (GAN) and HDFS-Based Realtime Traffic Forecasting System Using CCTV Surveillance
Praveen Devadhas Sujakumari, D. Paulraj
Symmetry (2023) Vol. 15, Iss. 4, pp. 779-779
Open Access | Times Cited: 13
Spatio-Temporal NDVI Prediction for Rice Crop
Anamika Dey, Somrita Sarkar, Arijit Mondal, et al.
SN Computer Science (2025) Vol. 6, Iss. 3
Closed Access
Incorporating Graph Neural Network into Route Choice Model
Y. Ma, Toru Seo
(2025)
Closed Access
Presentation of a Novel Method for Prediction of Traffic with Climate Condition Based on Ensemble Learning of Neural Architecture Search (NAS) and Linear Regression
Javad Artin, Amin Valizadeh, Mohsen Ahmadi, et al.
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 30
GSA‐ELM: A hybrid learning model for short‐term traffic flow forecasting
Zhihan Cui, Boyu Huang, Haowen Dou, et al.
IET Intelligent Transport Systems (2021) Vol. 16, Iss. 1, pp. 41-52
Closed Access | Times Cited: 29
Multivariate Time-Series Forecasting: A Review of Deep Learning Methods in Internet of Things Applications to Smart Cities
Vasilis Papastefanopoulos, Pantelis Linardatos, Theodor Panagiotakopoulos, et al.
Smart Cities (2023) Vol. 6, Iss. 5, pp. 2519-2552
Open Access | Times Cited: 11
Deep Learning Anti-Fraud Model for Internet Loan: Where We Are Going
Weiwei Fang, Xin Li, Ping Zhou, et al.
IEEE Access (2021) Vol. 9, pp. 9777-9784
Open Access | Times Cited: 26
Spatiotemporal Adaptive Fusion Graph Network for Short-Term Traffic Flow Forecasting
Shumin Yang, Huaying Li, Yu Luo, et al.
Mathematics (2022) Vol. 10, Iss. 9, pp. 1594-1594
Open Access | Times Cited: 18
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
A noise-immune reinforcement learning method for early diagnosis of neuropsychiatric systemic lupus erythematosus
Guanru Tan, Boyu Huang, Zhihan Cui, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 3, pp. 2219-2239
Open Access | Times Cited: 10
Cluster-based spatiotemporal dual self-adaptive network for short-term subway passenger flow forecasting
Qianjin Wei, Yongheng Qiu, Yimin Wen
Applied Intelligence (2022) Vol. 52, Iss. 12, pp. 14137-14152
Closed Access | Times Cited: 10
Broad Learning Enhanced 1H-MRS for Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus
Yan Li, Zuhao Ge, Zhiyan Zhang, et al.
Computational and Mathematical Methods in Medicine (2020) Vol. 2020, pp. 1-13
Open Access | Times Cited: 15
A Noise-Immune Boosting Framework for Short-Term Traffic Flow Forecasting
Shiqiang Zheng, Shuangyi Zhang, Youyi Song, et al.
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 11
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