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:

A hybrid deep learning model with 1DCNN-LSTM-Attention networks for short-term traffic flow prediction
Ke Wang, Changxi Ma, Yihuan Qiao, et al.
Physica A Statistical Mechanics and its Applications (2021) Vol. 583, pp. 126293-126293
Closed Access | Times Cited: 175

Showing 26-50 of 175 citing articles:

Demand forecasting of shared bicycles based on combined deep learning models
Changxi Ma, Tao Liu
Physica A Statistical Mechanics and its Applications (2024) Vol. 635, pp. 129492-129492
Closed Access | Times Cited: 8

Intelligent G-code-based power prediction of ultra-precision CNC machine tools through 1DCNN-LSTM-Attention model
Zhicheng Xu, Vignesh Selvaraj, Sangkee Min
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 7

Priori-distribution-guided adaptive sparse attention for cross-domain feature mining in diesel engine fault diagnosis
He Li, Jinjie Zhang, Zhenjing Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107975-107975
Closed Access | Times Cited: 7

Urban rail transit passenger flow prediction with ResCNN-GRU based on self-attention mechanism
Changxi Ma, Bowen Zhang, Shukai Li, et al.
Physica A Statistical Mechanics and its Applications (2024) Vol. 638, pp. 129619-129619
Closed Access | Times Cited: 7

Prospect and sustainability prediction of China's new energy vehicles sales considering temporal and spatial dimensions
Taiyu Ning, Bingquan Lu, Xingyu Ouyang, et al.
Journal of Cleaner Production (2024) Vol. 468, pp. 142926-142926
Closed Access | Times Cited: 6

An Intelligent Deep Learning Framework for Traffic Flow Imputation and Short-term Prediction Based on Dynamic Features
Xianhui Zong, Yong Qi, He Yan, et al.
Knowledge-Based Systems (2024) Vol. 300, pp. 112178-112178
Closed Access | Times Cited: 6

Operating Status Prediction Model at EV Charging Stations With Fusing Spatiotemporal Graph Convolutional Network
Su Su, Yujing Li, Qifang Chen, et al.
IEEE Transactions on Transportation Electrification (2022) Vol. 9, Iss. 1, pp. 114-129
Closed Access | Times Cited: 28

Urban road traffic flow prediction: A graph convolutional network embedded with wavelet decomposition and attention mechanism
Yan Zheng, Shengyou Wang, Chunjiao Dong, et al.
Physica A Statistical Mechanics and its Applications (2022) Vol. 608, pp. 128274-128274
Closed Access | Times Cited: 25

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

Short-Term Traffic Flow Prediction Based on CNN-BILSTM with Multicomponent Information
Weiqing Zhuang, Yongbo Cao
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8714-8714
Open Access | Times Cited: 23

Traffic flow prediction under multiple adverse weather based on self-attention mechanism and deep learning models
Wensong Zhang, Ronghan Yao, Xiaojing Du, et al.
Physica A Statistical Mechanics and its Applications (2023) Vol. 625, pp. 128988-128988
Closed Access | Times Cited: 16

Hybrid physical and data driven modeling for dynamic operation characteristic simulation of wind turbine
Jie Yan, Akejiang Nuertayi, Yamin Yan, et al.
Renewable Energy (2023) Vol. 215, pp. 118958-118958
Closed Access | Times Cited: 14

A robust time-varying weight combined model for crude oil price forecasting
Longlong Liu, Suyu Zhou, Jie Qian, et al.
Energy (2024) Vol. 299, pp. 131352-131352
Closed Access | Times Cited: 5

Hyper-Flophet: A neural Prophet-based model for traffic flow forecasting in transportation systems
Kawthar Zaraket, Hassan Harb, Ismail Bennis, et al.
Simulation Modelling Practice and Theory (2024) Vol. 134, pp. 102954-102954
Closed Access | Times Cited: 5

IoT-based prediction and classification framework for smart farming using adaptive multi-scale deep networks
B Padmavathi, A. Bhagyalakshmi, G. Vishnupriya, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124318-124318
Closed Access | Times Cited: 5

Enhancing water quality monitoring through the integration of deep learning neural networks and fuzzy method
Marzieh Mokarram, Hamid Reza Pourghasemi, Tam Minh Pham
Marine Pollution Bulletin (2024) Vol. 206, pp. 116698-116698
Closed Access | Times Cited: 5

Dynamic Multi-Scale Spatial-Temporal Graph Convolutional Network for Traffic Flow Prediction
Ming Gao, Zhuoran Du, H. Qin, et al.
Knowledge-Based Systems (2024), pp. 112586-112586
Closed Access | Times Cited: 5

Outlier detection with optimal hybrid deep learning enabled intrusion detection system for ubiquitous and smart environment
Mahmoud Ragab, Maha Farouk S. Sabir
Sustainable Energy Technologies and Assessments (2022) Vol. 52, pp. 102311-102311
Closed Access | Times Cited: 21

Multi-point short-term prediction of station passenger flow based on temporal multi-graph convolutional network
Yaguan Wang, Yong Qin, Jianyuan Guo, et al.
Physica A Statistical Mechanics and its Applications (2022) Vol. 604, pp. 127959-127959
Open Access | Times Cited: 21

Multi-Section Traffic Flow Prediction Based on MLR-LSTM Neural Network
Ruizhe Shi, Lijing Du
Sensors (2022) Vol. 22, Iss. 19, pp. 7517-7517
Open Access | Times Cited: 21

A Dynamic CAV-Dedicated Lane Allocation Method With the Joint Optimization of Signal Timing Parameters and Smooth Trajectory in a Mixed Traffic Environment
Xiancai Jiang, Qingpeng Shang
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 24, Iss. 6, pp. 6436-6449
Closed Access | Times Cited: 20

Road traffic flow prediction based on dynamic spatiotemporal graph attention network
Yuguang Chen, Jintao Huang, Hongbin Xu, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 12

AI-Enabled Portable E-Nose Regression Predicting Harmful Molecules in a Gas Mixture
Jilei Yang, Xuefeng Hu, Lihang Feng, et al.
ACS Sensors (2024) Vol. 9, Iss. 6, pp. 2925-2934
Closed Access | Times Cited: 4

Exploring the landscape of deep learning for solar photovoltaic power output forecasting: A review
Dheeraj Kumar Dhaked, V. L. Narayanan, Ram Gopal, et al.
Renewable energy focus (2025), pp. 100682-100682
Closed Access

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