OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 18 citing articles:

Urban Traffic Flow Congestion Prediction Based on a Data-Driven Model
Kai Zhang, Zixuan Chu, Jiping Xing, et al.
Mathematics (2023) Vol. 11, Iss. 19, pp. 4075-4075
Open Access | Times Cited: 8

Urban Traffic Congestion Prediction: A Multi-Step Approach Utilizing Sensor Data and Weather Information
Nikolaos Tsalikidis, Aristeidis Mystakidis, Paraskevas Koukaras, et al.
Smart Cities (2024) Vol. 7, Iss. 1, pp. 233-253
Open Access | Times Cited: 2

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: 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

Short-term traffic flow prediction based on vehicle trip chain features
Xiaoqing Wang, Feng Sun, Xiaolong Ma, et al.
Transportation Letters (2024) Vol. 17, Iss. 1, pp. 157-168
Closed Access | Times Cited: 1

An Improved Artificial Potential Field Method for Ship Path Planning Based on Artificial Potential Field—Mined Customary Navigation Routes
Yongfeng Suo, Xinyu Chen, Yue Jie, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 5, pp. 731-731
Open 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

GSA-KELM-KF: A Hybrid Model for Short-Term Traffic Flow Forecasting
Wenguang Chai, Liangguang Zhang, Zhizhe Lin, et al.
Mathematics (2023) Vol. 12, Iss. 1, pp. 103-103
Open Access | Times Cited: 2

Traffic flow prediction with a multi-dimensional feature input: A new method based on attention mechanisms
Shaohu Zhang, Jianxiao Ma, Boshuo Geng, et al.
Electronic Research Archive (2024) Vol. 32, Iss. 2, pp. 979-1002
Open Access

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

Network-Level Hierarchical Bottleneck Congestion Control Method for a Mixed Traffic Network
Yuncheng Zeng, Minhua Shao, Lijun Sun
Sustainability (2023) Vol. 15, Iss. 23, pp. 16160-16160
Open 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

Page 1

Scroll to top