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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 1-25 of 60 citing articles:

A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions
Bharti Khemani, Shruti Patil, Ketan Kotecha, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 78
A survey of graph neural network based recommendation in social networks
Xiao Li, Li Sun, Mengjie Ling, et al.
Neurocomputing (2023) Vol. 549, pp. 126441-126441
Closed Access | Times Cited: 73
Graph Neural Network for Traffic Forecasting: The Research Progress
Weiwei Jiang, Jiayun Luo, Miao He, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 3, pp. 100-100
Open Access | Times Cited: 67
Forecasting carbon price: A novel multi-factor spatial-temporal GNN framework integrating graph WaveNet and self-attention mechanism
Jin Cao, Xie Chi, Yang Zhou, et al.
Energy Economics (2025), pp. 108318-108318
Closed Access | Times Cited: 1
Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping
Yan Li, Maohan Liang, Huanhuan Li, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107012-107012
Open Access | Times Cited: 20
Federated deep learning for smart city edge-based applications
Youcef Djenouri, Tomasz Michalak, Jerry Chun‐Wei Lin
Future Generation Computer Systems (2023) Vol. 147, pp. 350-359
Closed Access | Times Cited: 18
A Comprehensive Survey on Resource Management in 6G Network Based on Internet of Things
Seyed Salar Sefati, Asim Ul Haq, Nidhi Nidhi, et al.
IEEE Access (2024) Vol. 12, pp. 113741-113784
Open Access | Times Cited: 6
A comprehensive survey on applications of AI technologies to failure analysis of industrial systems
Siguo Bi, Cong Wang, Bochun Wu, et al.
Engineering Failure Analysis (2023) Vol. 148, pp. 107172-107172
Closed Access | Times Cited: 14
Energy processes prediction by a convolutional radial basis function network
José de Jesús Rubio, D.L Quiroz García, Humberto Sossa, et al.
Energy (2023) Vol. 284, pp. 128470-128470
Closed Access | Times Cited: 13
Making Sense of Big Data in Intelligent Transportation Systems: Current Trends, Challenges and Future Directions
Mian Ahmad Jan, Muhammad Adil, Bouziane Brik, et al.
ACM Computing Surveys (2025)
Closed Access
Inductive graph neural network framework for imputation of single-cell RNA sequencing data
V K Boneshwar, Deepesh Agarwal, Balasubramaniam Natarajan, et al.
Computers & Chemical Engineering (2025) Vol. 195, pp. 109031-109031
Closed Access
Nash Equilibrium and Stackelberg Approach for Traffic Flow Optimization in Road Transportation Networks—A Case Study of Warsaw
Mateusz Oszczypała, Jarosław Ziółkowski, Jerzy Małąchowski, et al.
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3085-3085
Open Access | Times Cited: 12
Intelligent and Fair IoV Charging Service Based on Blockchain With Cross-Area Consensus
Dawei Li, Ruonan Chen, Qinjun Wan, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 12, pp. 15984-15994
Closed Access | Times Cited: 11
PHILNet: A novel efficient approach for time series forecasting using deep learning
M. J. Jiménez-Navarro, M. Martínez-Ballesteros, Francisco Martínez–Álvarez, et al.
Information Sciences (2023) Vol. 632, pp. 815-832
Open Access | Times Cited: 11
NFIG-X: Nonlinear Fuzzy Information Granule Series for Long-Term Traffic Flow Time-Series Forecasting
Yue Cheng, Weiwei Xing, Witold Pedrycz, et al.
IEEE Transactions on Fuzzy Systems (2023) Vol. 31, Iss. 10, pp. 3582-3597
Closed Access | Times Cited: 11
Multi-graph fusion based graph convolutional networks for traffic prediction
N.-C. Hu, Dafang Zhang, Kun Xie, et al.
Computer Communications (2023) Vol. 210, pp. 194-204
Closed Access | Times Cited: 11
Comparison of Convolutional Neural Network and Artificial Neural Network for Rice Detection
Endang Suherman, Djarot Hindarto, Amelia Makmur, et al.
SinkrOn (2023) Vol. 8, Iss. 1, pp. 247-255
Open Access | Times Cited: 10
PyTorch Deep Learning for Food Image Classification with Food Dataset
Iswahyudi Iswahyudi, Djarot Hindarto, Handri Santoso
SinkrOn (2023) Vol. 8, Iss. 4, pp. 2651-2661
Open Access | Times Cited: 9
Effective graph-neural-network based models for discovering Structural Hole Spanners in large-scale and diverse networks
Diksha Goel, Hong Shen, Hui Tian, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123636-123636
Open Access | Times Cited: 3
A novel approach to traffic modelling based on road parameters, weather conditions and GPS data using feedforward neural networks
Igor Betkier, Mateusz Oszczypała
Expert Systems with Applications (2023) Vol. 245, pp. 123067-123067
Open Access | Times Cited: 8
RSAB-ConvGRU: A hybrid deep-learning method for traffic flow prediction
Dawen Xia, Yan Chen, Wenyong Zhang, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 7, pp. 20559-20585
Closed Access | Times Cited: 7
Improved Artificial Rabbits Optimization with Ensemble Learning-Based Traffic Flow Monitoring on Intelligent Transportation System
Mahmoud Ragab, Hesham A. Abdushkour, Louai A. Maghrabi, et al.
Sustainability (2023) Vol. 15, Iss. 16, pp. 12601-12601
Open Access | Times Cited: 7
Combined improved tuna swarm optimization with graph convolutional neural network for remaining useful life of engine
Yongliang Yuan, Qingkang Yang, Guohu Wang, et al.
Quality and Reliability Engineering International (2024) Vol. 41, Iss. 1, pp. 174-191
Closed Access | Times Cited: 2
Enhancing road traffic flow in sustainable cities through transformer models: Advancements and challenges
Shahriar Soudeep, Most. Lailun Nahar Aurthy, Jamin Rahman Jim, et al.
Sustainable Cities and Society (2024) Vol. 116, pp. 105882-105882
Closed Access | Times Cited: 2
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
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