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:

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: 30

Showing 1-25 of 30 citing articles:

Traffic Flow Prediction for Smart Traffic Lights Using Machine Learning Algorithms
Alfonso Navarro-Espinoza, Oscar Roberto López-Bonilla, Enrique Efrén García-Guerrero, et al.
Technologies (2022) Vol. 10, Iss. 1, pp. 5-5
Open Access | Times Cited: 87

Artificial intelligence-based traffic flow prediction: a comprehensive review
Sayed Ahmed, Yasser Abdelhamid, Hesham A. Hefny
Journal of Electrical Systems and Information Technology (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 42

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

MFOA-Bi-LSTM: An optimized bidirectional long short-term memory model for short-term traffic flow prediction
Bharti Naheliya, Poonam Redhu, Kranti Kumar
Physica A Statistical Mechanics and its Applications (2023) Vol. 634, pp. 129448-129448
Closed Access | Times Cited: 33

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

GA-KELM: Genetic-Algorithm-Improved Kernel Extreme Learning Machine for Traffic Flow Forecasting
Wenguang Chai, Yuexin Zheng, Lin Tian, et al.
Mathematics (2023) Vol. 11, Iss. 16, pp. 3574-3574
Open Access | Times Cited: 18

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

Bi-directional Long Short Term Memory Neural Network for Short-Term Traffic Speed Prediction Using Gravitational Search Algorithm
Bharti Naheliya, Poonam Redhu, Kranti Kumar
International Journal of Intelligent Transportation Systems Research (2024) Vol. 22, Iss. 2, pp. 316-327
Closed Access | Times Cited: 7

Robust multi-modal pedestrian detection using deep convolutional neural network with ensemble learning model
Deepak Kumar Jain, Xudong Zhao, Salvador García, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123527-123527
Closed Access | Times Cited: 6

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

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 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

Predicting Cost Impacts of Nonconformances in Construction Projects Using Interpretable Machine Learning
Kerim Koç, Cenk Budayan, Ömer Ekmekcioğlu, et al.
Journal of Construction Engineering and Management (2023) Vol. 150, Iss. 1
Closed Access | Times Cited: 7

Short-term traffic flow prediction based on hybrid decomposition optimization and deep extreme learning machine
Ke Zhao, Dudu Guo, Miao Sun, et al.
Physica A Statistical Mechanics and its Applications (2024) Vol. 647, pp. 129870-129870
Closed Access | Times Cited: 2

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

TRELM-DROP: An impavement non-iterative algorithm for traffic flow forecast
Yuwei Yang, Zhuoxuan Li, Jun Chen, et al.
Physica A Statistical Mechanics and its Applications (2023) Vol. 633, pp. 129337-129337
Closed Access | Times Cited: 4

AST3DRNet: Attention-Based Spatio-Temporal 3D Residual Neural Networks for Traffic Congestion Prediction
Lecheng Li, Fei Dai, Bi Huang, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1261-1261
Open Access | Times Cited: 1

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

A deep extreme learning machine approach optimized by sparrow search algorithm for forecasting of traffic flow
Bharti Naheliya, Kranti Kumar, Poonam Redhu
Physica Scripta (2024) Vol. 99, Iss. 12, pp. 125288-125288
Closed Access | Times Cited: 1

Short Term Traffic Flow Prediction Using Hybrid Deep Learning
Mohandu Anjaneyulu, Mohan Kubendiran
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 75, Iss. 1, pp. 1641-1656
Open Access | Times Cited: 3

A Novel Hybrid Model for Short-Term Traffic Flow Prediction Based on Extreme Learning Machine and Improved Kernel Density Estimation
Leina Zhao, Yujia Bai, Sishi Zhang, et al.
Sustainability (2022) Vol. 14, Iss. 24, pp. 16361-16361
Open Access | Times Cited: 4

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

Hybrid GA-SVR: An Effective Way to Predict Short-Term Traffic Flow
Guanru Tan, Shiqiang Zheng, Boyu Huang, et al.
Lecture notes in computer science (2022), pp. 53-62
Closed Access | Times Cited: 3

Prediction of Cardiovascular Disease Risk in the General Population: A GSA-ELM Approach
Sonali Lohbare, N. Noor Alleema, S Praveena, et al.
(2024), pp. 1-6
Closed Access

Advanced Modeling and Interpretation for Accurate Intersection Traffic Time Prediction
Deepika Deepika, Gitanjali Pandove
International Journal of Intelligent Transportation Systems Research (2024) Vol. 22, Iss. 3, pp. 735-760
Closed Access

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