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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 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

Showing 14 citing articles:

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
Adaptive Spatiotemporal Transformer Graph Network for Traffic Flow Forecasting by IoT Loop Detectors
Boyu Huang, Haowen Dou, Yu Luo, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 2, pp. 1642-1653
Closed Access | Times Cited: 32
Error-distribution-free kernel extreme learning machine for traffic flow forecasting
Keer Wu, Changhong Xu, Jingwen Yan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106411-106411
Closed Access | Times Cited: 18
Spatial dynamic graph convolutional network for traffic flow forecasting
Huaying Li, Shumin Yang, Youyi Song, et al.
Applied Intelligence (2022) Vol. 53, Iss. 12, pp. 14986-14998
Closed Access | Times Cited: 27
Forecasting Day-Ahead Traffic Flow Using Functional Time Series Approach
Ismail Shah, Izhar Muhammad, Sajid Ali, et al.
Mathematics (2022) Vol. 10, Iss. 22, pp. 4279-4279
Open Access | Times Cited: 25
Deep Bi-LSTM Neural Network with Chaotic Particle Swarm Optimization Technique for Short-Term Traffic Speed Prediction
Bharti Naheliya, Poonam Redhu, Kranti Kumar
Lecture notes in civil engineering (2025), pp. 171-191
Closed Access
A noise-immune and attention-based multi-modal framework for short-term traffic flow forecasting
Guanru Tan, Teng Zhou, Boyu Huang, et al.
Soft Computing (2023) Vol. 28, Iss. 6, pp. 4775-4790
Closed Access | Times Cited: 5
A Review on Developments in Evolutionary Computation Approaches for Road Traffic Flow Prediction
Bharti Naheliya, Poonam Redhu, Kranti Kumar
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 1
Lag‐related noise shrinkage stacked LSTM network for short‐term traffic flow forecasting
Kai Li, Weihua Bai, Shaowei Huang, et al.
IET Intelligent Transport Systems (2023) Vol. 18, Iss. 2, pp. 244-257
Open Access | Times Cited: 3
Meta-Extreme Learning Machine for Short-Term Traffic Flow Forecasting
Xin Li, Linfeng Li, Boyu Huang, et al.
Applied Sciences (2022) Vol. 12, Iss. 24, pp. 12670-12670
Open Access | Times Cited: 4
Traffic Flow Prediction and Intelligent Road Network Optimization Under Artificial Intelligence
Weiwei Zhan
(2024), pp. 1-5
Closed Access
Gravitational search algorithm‐extreme learning machine for COVID‐19 active cases forecasting
Boyu Huang, Youyi Song, Zhihan Cui, et al.
IET Software (2023) Vol. 17, Iss. 4, pp. 554-565
Open Access | Times Cited: 1
Deterministic Weight Modification-based Extreme Learning Machine for Stock Price Prediction
K. Kalaiselvi, Vasantha Kalyani David
Recent Patents on Engineering (2023) Vol. 19, Iss. 2
Closed Access | Times Cited: 1
Mixture correntropy with variable center LSTM network for traffic flow forecasting
Weiwei Fang, Xiaoke Li, Zhizhe Lin, et al.
Digital Transportation and Safety (2020), pp. 1-7
Closed Access
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