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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:

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: 19

Showing 19 citing articles:

A multi-factor combined traffic flow prediction model with secondary decomposition and improved entropy weight method
Guohui Li, Haonan Deng, Hong Yang
Expert Systems with Applications (2024) Vol. 255, pp. 124424-124424
Closed Access | Times Cited: 18
Dynamic spatial aware graph transformer for spatiotemporal traffic flow forecasting
Zequan Li, Jinglin Zhou, Zhizhe Lin, et al.
Knowledge-Based Systems (2024) Vol. 297, pp. 111946-111946
Closed Access | Times Cited: 10
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
Many-objective coevolutionary learning algorithm with extreme learning machine auto-encoder for ensemble classifier of feedforward neural networks
Hong Li, Lixia Bai, Weifeng Gao, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123186-123186
Closed Access | Times Cited: 6
Bidirectional online sequence extreme learning machine and switching strategy for soft-sensor model of SMB chromatography separation process
Yongcheng Sun, Jie-Sheng Wang, Cheng Xing, et al.
Soft Computing (2025)
Closed Access
Adaptive self-evolving extreme learning machine-based terminal sliding mode control with application in retinal vein injection
Bo Hu, Shiyu Xu, Lu Liu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 152, pp. 110789-110789
Closed Access
A novel ensemble approach for road traffic carbon emission prediction: a case in Canada
Yongliang Liu, Chunling Tang, Aiying Zhou, et al.
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 3
Short-term traffic flow prediction via weight optimization of composite models
Xinyi He, Yao Hu, Wangyong Chen, et al.
Transportation Letters (2024), pp. 1-11
Closed Access | Times Cited: 3
Dynamic Spatiotemporal Graph Wavelet Network for Traffic Flow Prediction
Weijian Xu, Jingjin Liu, Jingwen Yan, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 5, pp. 8019-8029
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
Forecasting urban travel demand with geo-AI: a combination of GIS and machine learning techniques utilizing uber data in New York City
sana Haery, Alireza Mahpour, Alireza Vafaeinejad
Environmental Earth Sciences (2024) Vol. 83, Iss. 20
Closed Access | Times Cited: 2
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: 4
Impact of sudden public crises on spatial distribution patterns and driving factors of the urban catering industry: a case study of Shanghai’s catering POI data before and after COVID-19
Dandan Shao, Kyungjin Zoh, Yan‐Zhao Xie
Journal of Asian Architecture and Building Engineering (2024), pp. 1-24
Open 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
A Novel Hybrid Model for Short-Term Traffic Flow Prediction Based on Spatio-Temporal Deep Learning with Considering Associated Factors Selection
Yingping Tang, Qiang Shang, Longjiao Yin
IEEE Access (2024) Vol. 12, pp. 128215-128234
Open Access
Advancements in evaporation prediction: introducing the Gated Recurrent Unit–Multi-Kernel Extreme Learning Machine (MKELM)–Gaussian Process Regression (GPR) model
Sharareh Pourebrahim, Mohammad Ehteram, Mehrdad Hadipour, et al.
Environmental Sciences Europe (2024) Vol. 36, Iss. 1
Open Access
Optimization of XGBoost Algorithm for Road Traffic Flow Regression Prediction Based on Four-Vector Algorithm
Yuzhu Yang, Dan Zhou, Zhihui Xie
(2024), pp. 479-483
Closed Access
A Multi-Factor Combined Traffic Flow Prediction Model Based on Secondary Decomposition and Improved Entropy Weight Method
Guohui Li, Haonan Deng, Hong Yang
(2023)
Closed Access
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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