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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:

PSO-ELM: A Hybrid Learning Model for Short-Term Traffic Flow Forecasting
Weihong Cai, Junjie Yang, Yidan Yu, et al.
IEEE Access (2020) Vol. 8, pp. 6505-6514
Open Access | Times Cited: 106

Showing 1-25 of 106 citing articles:

Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization
Rana Muhammad Adnan, Reham R. Mostafa, Özgür Kişi, et al.
Knowledge-Based Systems (2021) Vol. 230, pp. 107379-107379
Closed Access | Times Cited: 167
Short-term traffic flow prediction based on optimized deep learning neural network: PSO-Bi-LSTM
Bharti, Poonam Redhu, Kranti Kumar
Physica A Statistical Mechanics and its Applications (2023) Vol. 625, pp. 129001-129001
Closed Access | Times Cited: 94
A temporal-aware LSTM enhanced by loss-switch mechanism for traffic flow forecasting
Huakang Lu, Zuhao Ge, Youyi Song, et al.
Neurocomputing (2020) Vol. 427, pp. 169-178
Closed Access | Times Cited: 99
Automatic Detection and Classification of Mammograms Using Improved Extreme Learning Machine with Deep Learning
S. R. Sannasi Chakravarthy, Harikumar Rajaguru
IRBM (2021) Vol. 43, Iss. 1, pp. 49-61
Closed Access | Times Cited: 91
ST-TrafficNet: A Spatial-Temporal Deep Learning Network for Traffic Forecasting
Huakang Lu, Dongmin Huang, Youyi Song, et al.
Electronics (2020) Vol. 9, Iss. 9, pp. 1474-1474
Open Access | Times Cited: 70
Hybrid intelligent framework for carbon price prediction using improved variational mode decomposition and optimal extreme learning machine
Jujie Wang, Quan Cui, Maolin He
Chaos Solitons & Fractals (2022) Vol. 156, pp. 111783-111783
Closed Access | Times Cited: 48
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
A state of health estimation framework based on real-world electric vehicles operating data
Xu Zhao, Jianyao Hu, Guangdi Hu, et al.
Journal of Energy Storage (2023) Vol. 63, pp. 107031-107031
Closed Access | Times Cited: 31
SSA-ELM: A Hybrid Learning Model for Short-Term Traffic Flow Forecasting
Fei Wang, Yinxi Liang, Zhizhe Lin, et al.
Mathematics (2024) Vol. 12, Iss. 12, pp. 1895-1895
Open Access | Times Cited: 10
A Sample-Rebalanced Outlier-Rejected $k$ -Nearest Neighbor Regression Model for Short-Term Traffic Flow Forecasting
Lingru Cai, Yidan Yu, Shuangyi Zhang, et al.
IEEE Access (2020) Vol. 8, pp. 22686-22696
Open Access | Times Cited: 65
A noise-immune LSTM network for short-term traffic flow forecasting
Lingru Cai, Mingqin Lei, Shuangyi Zhang, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2020) Vol. 30, Iss. 2
Closed Access | Times Cited: 64
Short-term prediction of carbon emissions based on the EEMD-PSOBP model
Wei Sun, Chumeng Ren
Environmental Science and Pollution Research (2021) Vol. 28, Iss. 40, pp. 56580-56594
Closed Access | Times Cited: 52
A Novel Deep Learning Framework Based RNN-SAE for Fault Detection of Electrical Gas Generator
Moath Alrifaey, Wei Hong Lim, Chun Kit Ang
IEEE Access (2021) Vol. 9, pp. 21433-21442
Closed Access | Times Cited: 50
Short-Term Traffic Flow Prediction Based on VMD and IDBO-LSTM
Ke Zhao, Dudu Guo, Miao Sun, et al.
IEEE Access (2023) Vol. 11, pp. 97072-97088
Open Access | Times Cited: 21
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
Data-Driven Approach for Rainfall-Runoff Modelling Using Equilibrium Optimizer Coupled Extreme Learning Machine and Deep Neural Network
Bishwajit Roy, Maheshwari Prasad Singh, Mosbeh R. Kaloop, et al.
Applied Sciences (2021) Vol. 11, Iss. 13, pp. 6238-6238
Open Access | Times Cited: 35
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
Prediction of cold chain logistics temperature using a novel hybrid model based on the mayfly algorithm and extreme learning machine
Ming K. Lim, Yan Li, Chao Wang, et al.
Industrial Management & Data Systems (2022) Vol. 122, Iss. 3, pp. 819-840
Open Access | Times Cited: 24
Estimating Flyrock Distance Induced Due to Mine Blasting by Extreme Learning Machine Coupled with an Equilibrium Optimizer
Ramesh Murlidhar Bhatawdekar, Radhikesh Kumar, Mohanad Muayad Sabri Sabri, et al.
Sustainability (2023) Vol. 15, Iss. 4, pp. 3265-3265
Open Access | Times Cited: 14
A Novel Deep Belief Network and Extreme Learning Machine Based Performance Degradation Prediction Method for Proton Exchange Membrane Fuel Cell
Yucen Xie, Jianxiao Zou, Zhongliang Li, et al.
IEEE Access (2020) Vol. 8, pp. 176661-176675
Open Access | Times Cited: 36
Prediction of aircraft trajectory and the associated fuel consumption using covariance bidirectional extreme learning machines
Waqar Ahmed Khan, Hoi‐Lam Ma, Xu Ouyang, et al.
Transportation Research Part E Logistics and Transportation Review (2020) Vol. 145, pp. 102189-102189
Closed Access | Times Cited: 33
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
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