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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:

Short-term electric vehicle charging demand prediction: A deep learning approach
Shengyou Wang, Chengxiang Zhuge, Chunfu Shao, et al.
Applied Energy (2023) Vol. 340, pp. 121032-121032
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

A hybrid electric vehicle load classification and forecasting approach based on GBDT algorithm and temporal convolutional network
Tianren Zhang, Yuping Huang, Hui Liao, et al.
Applied Energy (2023) Vol. 351, pp. 121768-121768
Closed Access | Times Cited: 48
Energy consumption prediction strategy for electric vehicle based on LSTM-transformer framework
Zhanyu Feng, Jian Zhang, Han Jiang, et al.
Energy (2024) Vol. 302, pp. 131780-131780
Closed Access | Times Cited: 16
A physics-informed graph learning approach for citywide electric vehicle charging demand prediction and pricing
H. H. Kuang, Haohao Qu, Kunxiang Deng, et al.
Applied Energy (2024) Vol. 363, pp. 123059-123059
Closed Access | Times Cited: 14
An urban charging load forecasting model based on trip chain model for private passenger electric vehicles: A case study in Beijing
Lei Zhang, Zhijia Huang, Zhenpo Wang, et al.
Energy (2024) Vol. 299, pp. 130844-130844
Closed Access | Times Cited: 13
Equilibrium configuration strategy of vehicle-to-grid-based electric vehicle charging stations in low-carbon resilient distribution networks
Zhaoqi Wang, Lu Zhang, Wei Tang, et al.
Applied Energy (2024) Vol. 361, pp. 122931-122931
Closed Access | Times Cited: 11
A comprehensive benchmark of machine learning-based algorithms for medium-term electric vehicle charging demand prediction
Ömer Can Tolun, Kasım Zor, Önder Tutsoy
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Open Access | Times Cited: 1
Spatial-Temporal Graph Convolutional-Based Recurrent Network for Electric Vehicle Charging Stations Demand Forecasting in Energy Market
Hyung Joon Kim, Mun-Kyeom Kim
IEEE Transactions on Smart Grid (2024) Vol. 15, Iss. 4, pp. 3979-3993
Closed Access | Times Cited: 7
Transfer learning based hybrid model for power demand prediction of large-scale electric vehicles
Chenlu Tian, Yechun Liu, Guiqing Zhang, et al.
Energy (2024) Vol. 300, pp. 131461-131461
Closed Access | Times Cited: 6
Feature-enhanced deep learning method for electric vehicle charging demand probabilistic forecasting of charging station
Tingwei Cao, Yinliang Xu, Guowei Liu, et al.
Applied Energy (2024) Vol. 371, pp. 123751-123751
Closed Access | Times Cited: 5
A data-driven approach to urban charging facility expansion based on bi-level optimization: A case study in a Chinese city
Jianing Cao, Yuhang Han, Nan Pan, et al.
Energy (2024) Vol. 300, pp. 131529-131529
Closed Access | Times Cited: 4
Unravelling the effect of electricity price on electric vehicle charging behavior: A case study in Shenzhen, China
H. H. Kuang, Xinyu Zhang, Haohao Qu, et al.
Sustainable Cities and Society (2024), pp. 105836-105836
Closed Access | Times Cited: 4
A dual decomposition integration and error correction model for carbon price prediction
Yanan Li, Xinsheng Zhang, Minghu Wang
Journal of Environmental Management (2025) Vol. 374, pp. 124035-124035
Closed Access
MLP-Carbon: A new paradigm integrating multi-frequency and multi-scale techniques for accurate carbon price forecasting
Zhirui Tian, Wei Sun, Chenye Wu
Applied Energy (2025) Vol. 383, pp. 125330-125330
Closed Access
An adaptive spatio-temporal graph recurrent network for short-term electric vehicle charging demand prediction
Shengyou Wang, Yuan Li, Chunfu Shao, et al.
Applied Energy (2025) Vol. 383, pp. 125320-125320
Closed Access
A hybrid Bayesian network-based deep learning approach combining climatic and reliability factors to forecast electric vehicle charging capacity
David Chunhu Li
Heliyon (2025) Vol. 11, Iss. 4, pp. e42483-e42483
Open Access
Citywide electric vehicle charging demand prediction approach considering urban region and dynamic influences
H. H. Kuang, Kunxiang Deng, Linlin You, et al.
Energy (2025), pp. 135170-135170
Closed Access
UrbanEV: An Open Benchmark Dataset for Urban Electric Vehicle Charging Demand Prediction
Han Li, Haohao Qu, Xiaojun Tan, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
GTFE-Net-BiLSTM-AM: An intelligent feature recognition method for natural gas pipelines
Lin Wang, Hu Cheng, Tingxia Ma, et al.
Gas Science and Engineering (2024) Vol. 125, pp. 205311-205311
Closed Access | Times Cited: 3
Artificial Intelligence Optimization for User Prediction and Efficient Energy Distribution in Electric Vehicle Smart Charging Systems
Siow Jat Shern, Md. Tanjil Sarker, Mohammed Hussein Saleh Mohammed Haram, et al.
Energies (2024) Vol. 17, Iss. 22, pp. 5772-5772
Open Access | Times Cited: 3
Learning-based demand-supply-coupled charging station location problem for electric vehicle demand management
Yang Song, Xianbiao Hu
Transportation Research Part D Transport and Environment (2023) Vol. 125, pp. 103975-103975
Open Access | Times Cited: 8
STPNet: Quantifying the Uncertainty of Electric Vehicle Charging Demand via Long-Term Spatiotemporal Traffic Flow Prediction Intervals
Yiqun Li, Songjian Chai, Xian Zhang, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 12, pp. 15018-15034
Closed Access | Times Cited: 7
Energy Consumption Prediction Strategy for Electric Vehicle Based on Lstm-Transformer Framework
Zhanyu Feng, Jian Zhang, Han Jiang, et al.
(2024)
Closed Access | Times Cited: 2
Synthesis of electric vehicle charging data: A real-world data-driven approach
Zhi Li, Zilin Bian, Zhibin Chen, et al.
Communications in Transportation Research (2024) Vol. 4, pp. 100128-100128
Open Access | Times Cited: 2
Charging Load Forecasting of Electric Vehicles Based on VMD–SSA–SVR
Yanjuan Wu, Peizhi Cong, Yunliang Wang
IEEE Transactions on Transportation Electrification (2023) Vol. 10, Iss. 2, pp. 3349-3362
Closed Access | Times Cited: 5
Optimal Charging Control of Electric Vehicle Fleets Based on Demand Aggregation and User-Oriented Disaggregation Respecting Data Privacy
Flavio Gromann, Andreas F. Raab, Kai Strunz
IEEE Transactions on Transportation Electrification (2023) Vol. 10, Iss. 3, pp. 5061-5074
Open Access | Times Cited: 5
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