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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:

Hybrid graph convolution neural network and branch-and-bound optimization for traffic flow forecasting
Youcef Djenouri, Asma Belhadi, Gautam Srivastava, et al.
Future Generation Computer Systems (2022) Vol. 139, pp. 100-108
Open Access | Times Cited: 60

Showing 26-50 of 60 citing articles:

Spatial–Temporal Graph Attention Gated Recurrent Transformer Network for Traffic Flow Forecasting
Wu Di, Kai Peng, Shangguang Wang, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 8, pp. 14267-14281
Closed Access | Times Cited: 6
Traffic Flow Forecasting Based on Transformer with Diffusion Graph Attention Network
Hong Zhang, Hongyan Wang, Linlong Chen, et al.
International Journal of Automotive Technology (2024) Vol. 25, Iss. 3, pp. 455-468
Closed Access | Times Cited: 1
Based on hypernetworks and multifractals: Deep distribution feature fusion for multidimensional nonstationary time series prediction
Yuewen Shen, Lihong Wen, Chaowen Shen
Chaos Solitons & Fractals (2024) Vol. 182, pp. 114811-114811
Closed Access | Times Cited: 1
Redefining Urban Traffic Dynamics With TCN-FL Driven Traffic Prediction and Control Strategies
K. M. Karthick Raghunath, C. Rohith Bhat, V. Vinoth Kumar, et al.
IEEE Access (2024) Vol. 12, pp. 115386-115399
Open Access | Times Cited: 1
A multi-channel spatial-temporal transformer model for traffic flow forecasting
Jianli Xiao, Baichao Long
Information Sciences (2024) Vol. 671, pp. 120648-120648
Open Access | Times Cited: 1
Special Issue on integration of machine learning and edge computing for next generation of smart wearable systems
Paolo Gastaldo, Edoardo Ragusa, Strahinja Došen, et al.
Future Generation Computer Systems (2024) Vol. 164, pp. 107574-107574
Closed Access | Times Cited: 1
Research on Traffic Flow Forecasting Based on Dynamic Spatial-Temporal Transformer
Hong Zhang, Hongyan Wang, Xijun Zhang, et al.
Transportation Research Record Journal of the Transportation Research Board (2023) Vol. 2678, Iss. 7, pp. 301-313
Closed Access | Times Cited: 3
Modeling of Traffic Flows Sustainability on Highway Network Stretches
Viktor Vojtov, Dmitriy Muzylyov, Mykola Karnaukh, et al.
Applied Sciences (2023) Vol. 13, Iss. 16, pp. 9307-9307
Open Access | Times Cited: 2
Optimized Residual Parallel Separable Convolution Layers for Pest Classification
V. Naresh, R. Malmathanraj, P. Palanisamy, et al.
SN Computer Science (2023) Vol. 4, Iss. 6
Closed Access | Times Cited: 2
Quick taxi route assignment via real-time intersection state prediction with a spatial-temporal graph neural network
Fujun Wang, Jun Bi, Dongfan Xie, et al.
Transportation Research Part C Emerging Technologies (2023) Vol. 158, pp. 104414-104414
Open Access | Times Cited: 2
Intelligent Traffic Congestion Control Using Black Widow Optimization with Hybrid Deep Learning on Smart City Environment
Sarah Hadi Shaheed
Journal of Smart Internet of Things (2023) Vol. 2023, Iss. 2, pp. 44-61
Open Access | Times Cited: 2
Anomaly Detection Algorithm of Power System Based on Graph Structure and Anomaly Attention
Yifan Gao, Jieming Zhang, Zhanchen Chen, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 1, pp. 493-507
Open Access
A GCN-LSTM Approach For ES-Mini And VX Futures Forecasting 
Nikolas Michael, Mihai Cucuringu, Sam Howison
(2024)
Closed Access
Leveraging Graph Machine Learning for Predicting Traffic Congestion and Optimizing Vehicle Routing

Asia Pacific Journal of Mathematics (2024)
Open Access
Spatio-temporal Contextual Conditions Causality and Spread Delay-aware Modeling for Traffic Flow Prediction
Yijun Xiong, Huajun Wang
IEEE Access (2024) Vol. 12, pp. 21250-21261
Open Access
Dts-Adapstnet: An Adaptive Spatiotemporal Neural Networks for Traffic Prediction with Mulit-Graph Fusion
Jing Zhang, Wenlong Shi, Xiangxuan Zhong, et al.
(2024)
Closed Access
DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise
Tai Hasegawa, Sukwon Yun, Xin Liu, et al.
Lecture notes in computer science (2024), pp. 376-389
Open Access
Analysis of Optimization Techniques of Throughput Capacity, Power and Energy for IoT Networks: A Critical Survey
Supriya Garlapati, G. Anil Kumar
SSRN Electronic Journal (2024)
Closed Access
DyAdapTransformer: Dynamic Adaptive Spatial-Temporal Graph Transformer for Traffic Prediction
Hui Dong, Xiao Pan, Xiao Chen, et al.
Lecture notes in computer science (2024), pp. 228-241
Closed Access
Intelligent explainable optical sensing on Internet of nanorobots for disease detection
Niusha Mesgaribarzi, Youcef Djenouri, Ahmed Nabil Belbachir, et al.
Nanotechnology Reviews (2024) Vol. 13, Iss. 1
Open Access
Traffic Flow Labelling for Congestion Prediction with Improved Heuristic Algorithm and Atrous Convolution-based Hybrid Attention Networks
Vivek Srivastava, Sumita Mishra, Nishu Gupta
Mobile Networks and Applications (2024)
Closed Access
Application of Clothing Design Based on Computer Vision Technology Using Hybrid Graph Convolution Neural Network and Lotus Effect Optimization Algorithm
Bei Li
Deleted Journal (2024) Vol. 20, Iss. 3s, pp. 2297-2309
Open Access
Short-term Traffic Flow Prediction Based on Improved BP Neural Network Optimized by Grasshopper Optimization Algorithm
Dong Luo, Xiaoxue Guo
(2024), pp. 445-449
Closed Access
PolarDSN : An Inductive Approach to Learning the Evolution of Network Polarization in Dynamic Signed Networks
M. J. Kim, Yeon-Chang Lee, Sang‐Wook Kim
(2024), pp. 1099-1109
Closed Access
DTS-AdapSTNet: an adaptive spatiotemporal neural networks for traffic prediction with multi-graph fusion
Wenlong Shi, Jing Zhang, Xiangxuan Zhong, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2527-e2527
Open Access

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