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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:

Probabilistic Regularized Extreme Learning for Robust Modeling of Traffic Flow Forecasting
Jungang Lou, Yunliang Jiang, Qing Shen, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 34, Iss. 4, pp. 1732-1741
Closed Access | Times Cited: 23

Showing 23 citing articles:

Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
Eric L. Manibardo, Ibai Laña, Javier Del Ser
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 7, pp. 6164-6188
Open Access | Times Cited: 82
STADGCN: spatial–temporal adaptive dynamic graph convolutional network for traffic flow prediction
Ying Shi, Wentian Cui, Ruiqin Wang, et al.
Neural Computing and Applications (2025)
Closed Access
DUTNG: Employing dynamically updating traffic network graph for short-term traffic flow prediction
Jungang Lou, X. F. Wu, Kaiming Zhao, et al.
Journal of Data and Information Quality (2025)
Closed Access
Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction
Lingbo Liu, Zewei Yang, Guanbin Li, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 7, pp. 3308-3322
Open Access | Times Cited: 15
Robust Modeling for Industrial Process Based on Frequency Reconstructed Fuzzy Neural Network
Honggui Han, Zecheng Tang, Xiaolong Wu, et al.
IEEE Transactions on Fuzzy Systems (2023) Vol. 32, Iss. 1, pp. 102-115
Closed Access | Times Cited: 5
Mixture extreme learning machine algorithm for robust regression
Shangrui Zhao, Xuan-Ang Chen, Jinran Wu, et al.
Knowledge-Based Systems (2023) Vol. 280, pp. 111033-111033
Open Access | Times Cited: 5
Trusted semi-supervised multi-view classification with contrastive learning
Xiaoli Wang, Yongli Wang, Yupeng Wang, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 8268-8278
Closed Access | Times Cited: 1
Lightweight Cross-Modal Information Measure and Propagation for Road Extraction From Remote Sensing Image and Trajectory/LiDAR
Yu Qiu, Chenyu Lin, Jie Mei, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-16
Closed Access | Times Cited: 1
Incremental and sequence learning algorithms for weighted regularized extreme learning machines
Yuao Zhang, Yunwei Dai, Jing Li
Applied Intelligence (2024) Vol. 54, Iss. 7, pp. 5859-5878
Closed Access | Times Cited: 1
A hybrid optimization method based on extreme learning machine aided factor graph for INS/GPS information fusion during GPS outages
Xiaokai Wei, Ping Lang, Jie Li, et al.
Aerospace Science and Technology (2024) Vol. 152, pp. 109326-109326
Closed Access | Times Cited: 1
Enhancing Robustness and Time Efficiency of Random Vector Functional Link with Optimized Affine Parameters in Activation Functions and Orthogonalization
Shubham Srivastav, Sandeep Kumar, Pranab K. Muhuri
Applied Soft Computing (2024), pp. 112184-112184
Closed Access | Times Cited: 1
Who is partner: A new perspective on data association of multi-object tracking
Yuqing Ding, Yanpeng Sun, Zechao Li
Image and Vision Computing (2023) Vol. 136, pp. 104737-104737
Closed Access | Times Cited: 3
DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback
Junfan Lin, Yuying Zhu, Lingbo Liu, et al.
(2023), pp. 6058-6066
Open Access | Times Cited: 3
The Prediction Model of Acute Kidney Injury Based on Improved Adaboost
Xiaozhi Huo, Ban Zhao, Xiaoke Liu, et al.
(2024)
Closed Access
Hsfe: A Hierarchical Spatial-Temporal Feature Enhanced Framework for Traffic Flow Forecasting
Jungang Lou, Xinye Zhang, Ruiqin Wang, et al.
(2024)
Closed Access
Gray Wolf Optimization Combined with Kernel Extreme Learning Machine for Temperature Compensation of Gas Pressure Sensors
Huan Wang, Pan Liu, Yijun Zou, et al.
(2024)
Closed Access
HSFE: A Hierarchical Spatial-temporal Feature Enhanced Framework for Traffic Flow Forecasting
Jungang Lou, Xinye Zhang, Ruiqin Wang, et al.
Information Sciences (2024) Vol. 679, pp. 121070-121070
Closed Access
Failure prediction by regularized fuzzy learning with intelligent parameters selection
Qing Shen, Jungang Lou, Xiongtao Zhang, et al.
Applied Soft Computing (2020) Vol. 100, pp. 106952-106952
Closed Access | Times Cited: 3
A characteristic standardization method for circuit input vectors based on Hash algorithm
Ying Shi, Shuyi Huang, Jungang Lou
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 13, Iss. 3, pp. 1505-1513
Closed Access | Times Cited: 2
Table of Contents

IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 34, Iss. 4, pp. C1-1633
Open Access
ICP-RL: Identifying Critical Paths for Fault Diagnosis Using Reinforcement Learning
Jie Xiao, Yingying Ge, Wang Ru, et al.
ACM Transactions on Design Automation of Electronic Systems (2023) Vol. 29, Iss. 1, pp. 1-20
Closed Access
Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
Eric L. Manibardo, Ibai Laña, Javier Del Ser
(2020)
Closed Access
Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction
Lingbo Liu, Zewei Yang, Guanbin Li, et al.
arXiv (Cornell University) (2021)
Open Access
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