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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:

A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources
Shuguan Yang, Wei Ma, Xidong Pi, et al.
Transportation Research Part C Emerging Technologies (2019) Vol. 107, pp. 248-265
Open Access | Times Cited: 182

Showing 1-25 of 182 citing articles:

Graph neural network for traffic forecasting: A survey
Weiwei Jiang, Jiayun Luo
Expert Systems with Applications (2022) Vol. 207, pp. 117921-117921
Open Access | Times Cited: 741
Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions
Safa Ben Atitallah, Maha Driss, Wadii Boulila, et al.
Computer Science Review (2020) Vol. 38, pp. 100303-100303
Closed Access | Times Cited: 281
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network
Jintao Ke, Xiaoran Qin, Hai Yang, et al.
Transportation Research Part C Emerging Technologies (2020) Vol. 122, pp. 102858-102858
Open Access | Times Cited: 155
Graph Neural Networks for Intelligent Transportation Systems: A Survey
Saeed Rahmani, Asiye Baghbani, Nizar Bouguila, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 8, pp. 8846-8885
Open Access | Times Cited: 77
Parking Occupancy Prediction Method Based on Multi Factors and Stacked GRU-LSTM
Chao Zeng, Changxi Ma, Ke Wang, et al.
IEEE Access (2022) Vol. 10, pp. 47361-47370
Open Access | Times Cited: 72
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
Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions
Tao Hai, Sani I. Abba, Ahmed M. Al‐Areeq, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107559-107559
Closed Access | Times Cited: 58
Deep neural networks in the cloud: Review, applications, challenges and research directions
Kit Yan Chan, Bilal Abu-Salih, Raneem Qaddoura, et al.
Neurocomputing (2023) Vol. 545, pp. 126327-126327
Open Access | Times Cited: 48
Connecting the indispensable roles of IoT and artificial intelligence in smart cities: A survey
Hoang Nguyen, Dina Nawara, Rasha Kashef
Journal of Information and Intelligence (2024)
Open Access | Times Cited: 22
A systematic review and comprehensive analysis of building occupancy prediction
Tao Li, Xiangyu Liu, Guannan Li, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 193, pp. 114284-114284
Closed Access | Times Cited: 21
Evaluation and prediction of transportation resilience under extreme weather events: A diffusion graph convolutional approach
Hongwei Wang, Zhong‐Ren Peng, Dongsheng Wang, et al.
Transportation Research Part C Emerging Technologies (2020) Vol. 115, pp. 102619-102619
Closed Access | Times Cited: 98
Machine learning for next‐generation intelligent transportation systems: A survey
Tingting Yuan, Wilson da Rocha Neto, Christian Esteve Rothenberg, et al.
Transactions on Emerging Telecommunications Technologies (2021) Vol. 33, Iss. 4
Open Access | Times Cited: 86
Spatiotemporal data mining: a survey on challenges and open problems
Ali Hamdi, Khaled Shaban, Abdelkarim Erradi, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 2, pp. 1441-1488
Open Access | Times Cited: 84
Deep neural networks for choice analysis: Extracting complete economic information for interpretation
Shenhao Wang, Qingyi Wang, Jinhua Zhao
Transportation Research Part C Emerging Technologies (2020) Vol. 118, pp. 102701-102701
Open Access | Times Cited: 75
Limited Sensing and Deep Data Mining: A New Exploration of Developing City-Wide Parking Guidance Systems
Wan Zou, Yuqiang Sun, Yimin Zhou, et al.
IEEE Intelligent Transportation Systems Magazine (2020) Vol. 14, Iss. 1, pp. 198-215
Closed Access | Times Cited: 72
A Physics-Informed and Attention-Based Graph Learning Approach for Regional Electric Vehicle Charging Demand Prediction
Haohao Qu, H. H. Kuang, Qiuxuan Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 10, pp. 14284-14297
Open Access | Times Cited: 10
From Twitter to traffic predictor: Next-day morning traffic prediction using social media data
Weiran Yao, Sean Qian
Transportation Research Part C Emerging Technologies (2021) Vol. 124, pp. 102938-102938
Open Access | Times Cited: 54
Predictive Analytics for Smart Parking: A Deep Learning Approach in Forecasting of IoT Data
Francesco Piccialli, Fabio Giampaolo, Edoardo Prezioso, et al.
ACM Transactions on Internet Technology (2021) Vol. 21, Iss. 3, pp. 1-21
Closed Access | Times Cited: 46
When Intelligent Transportation Systems Sensing Meets Edge Computing: Vision and Challenges
Xuan Zhou, Ruimin Ke, Hao Yang, et al.
Applied Sciences (2021) Vol. 11, Iss. 20, pp. 9680-9680
Open Access | Times Cited: 43
Classification of potential electric vehicle purchasers: A machine learning approach
Javier Bas, Cinzia Cirillo, Elisabetta Cherchi
Technological Forecasting and Social Change (2021) Vol. 168, pp. 120759-120759
Open Access | Times Cited: 42
Applying Hybrid Lstm-Gru Model Based on Heterogeneous Data Sources for Traffic Speed Prediction in Urban Areas
Noureen Zafar, Irfan Ul Haq, Jawad-ur-Rehman Chughtai, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3348-3348
Open Access | Times Cited: 36
The Impact of Climate Change on Urban Transportation Resilience to Compound Extreme Events
Tao Ji, Yan-Hong Yao, Yue Dou, et al.
Sustainability (2022) Vol. 14, Iss. 7, pp. 3880-3880
Open Access | Times Cited: 30
AST-GIN: Attribute-Augmented Spatiotemporal Graph Informer Network for Electric Vehicle Charging Station Availability Forecasting
Ruikang Luo, Yaofeng Song, Liping Huang, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 1975-1975
Open Access | Times Cited: 18
Parking Prediction in Smart Cities: A Survey
Xiao Xiao, Ziyan Peng, Yunqing Lin, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 10, pp. 10302-10326
Closed Access | Times Cited: 16
MAST-GNN: A multimodal adaptive spatio-temporal graph neural network for airspace complexity prediction
Biyue Li, Zhishuai Li, Jun Chen, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 160, pp. 104521-104521
Closed Access | Times Cited: 6
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