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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 Load Forecasting Model of Electric Vehicle Charging Load Based on MCCNN-TCN
Jiaan Zhang, Chenyu Liu, Leijiao Ge
Energies (2022) Vol. 15, Iss. 7, pp. 2633-2633
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Electric vehicles load forecasting for day-ahead market participation using machine and deep learning methods
Zafeirios N. Bampos, Vasilis M. Laitsos, Konstantinos D. Afentoulis, et al.
Applied Energy (2024) Vol. 360, pp. 122801-122801
Closed Access | Times Cited: 23
Oil Logging Reservoir Recognition Based on TCN and SA-BiLSTM Deep Learning Method
Wenbiao Yang, Kewen Xia, Shurui Fan
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105950-105950
Closed Access | Times Cited: 36
Modeling abrupt changes in mine water inflow trends: A CEEMDAN-based multi-model prediction approach
Dongze Yao, Shi Chen, Shuning Dong, et al.
Journal of Cleaner Production (2024) Vol. 439, pp. 140809-140809
Closed Access | Times Cited: 8
LA-RCNN: Luong attention-recurrent- convolutional neural network for EV charging load prediction
Djamel Eddine Mekkaoui, Mohamed Amine Midoun, Yanming Shen
Applied Intelligence (2024) Vol. 54, Iss. 5, pp. 4352-4369
Closed Access | Times Cited: 8
A Novel Hybrid Deep Learning Model for Complex Systems: A Case of Train Delay Prediction
Dawei Wang, Jingwei Guo, Chunyang Zhang
Advances in Civil Engineering (2024) Vol. 2024, pp. 1-14
Open Access | Times Cited: 6
A Hybrid Feature Pyramid CNN-LSTM Model with Seasonal Inflection Month Correction for Medium- and Long-Term Power Load Forecasting
Zizhen Cheng, Li Wang, Yumeng Yang
Energies (2023) Vol. 16, Iss. 7, pp. 3081-3081
Open Access | Times Cited: 13
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
Self-supervised online learning algorithm for electric vehicle charging station demand and event prediction
Muhammad Ahsan Zamee, Dongjun Han, Hee-Jun Cha, et al.
Journal of Energy Storage (2023) Vol. 71, pp. 108189-108189
Closed Access | Times Cited: 9
Distributed generator configuration calibration method based on TCN-BiGRU-Attention algorithm
Yidong Zhu, Shihong Chen, Zuoxia Xing, et al.
Electric Power Systems Research (2024) Vol. 230, pp. 110248-110248
Closed Access | Times Cited: 3
State of Charge Estimation Method of Energy Storage Battery Based on Multiple Incremental Features
Zhilong Chen, Ting He, Yingzhe Mao, et al.
Journal of The Electrochemical Society (2024) Vol. 171, Iss. 7, pp. 070522-070522
Closed Access | Times Cited: 3
Multi-Step Ahead Short-Term Electricity Load Forecasting Using VMD-TCN and Error Correction Strategy
Fangze Zhou, Hui Zhou, Zhao‐Yan Li, et al.
Energies (2022) Vol. 15, Iss. 15, pp. 5375-5375
Open Access | Times Cited: 14
Research on electric vehicle load forecasting considering regional special event characteristics
Tuo Xie, Yu Zhang, Gang Zhang, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 2
A short-term load demand forecasting: Levenberg–Marquardt (LM), Bayesian regularization (BR), and scaled conjugate gradient (SCG) optimization algorithm analysis
Eustache Uwimana, Yatong Zhou, Ndiaye Mareme Sall
The Journal of Supercomputing (2024) Vol. 81, Iss. 1
Closed Access | Times Cited: 2
Smart coordination of predictive load balancing for residential electric vehicles based on EMD‐Bayesian optimised LSTM
Murat Akil, Emrah Dokur, Ramazan Bayındır
IET Renewable Power Generation (2022) Vol. 16, Iss. 15, pp. 3216-3232
Open Access | Times Cited: 11
Spatial-temporal load forecasting of electric vehicle charging stations based on graph neural network
Yanyu Zhang, Chunyang Liu, Xinpeng Rao, et al.
Journal of Intelligent & Fuzzy Systems (2023) Vol. 46, Iss. 1, pp. 821-836
Closed Access | Times Cited: 6
Load prediction of multi‐type electric vehicle charging stations based on secondary decomposition and feature selection
Xingchen Guo, Rong Jia, Gang Zhang, et al.
International Journal of Energy Research (2022) Vol. 46, Iss. 13, pp. 18342-18362
Open Access | Times Cited: 8
A Scheme for Charging Load Prediction of EV Based on Fuzzy Theory
Sike Wang, Liansong Yu, Peng Cao, et al.
Frontiers in artificial intelligence and applications (2024)
Open Access | Times Cited: 1
Electric vehicle load forecasting based on convolutional networks with attention mechanism and federated learning method
Ruien Bian, Long Wang, Yadong Liu, et al.
IET Generation Transmission & Distribution (2024) Vol. 18, Iss. 13, pp. 2313-2324
Open Access | Times Cited: 1
Research on Machine Learning-Based Method for Predicting Industrial Park Electric Vehicle Charging Load
Sijiang Ma, Ning Jin, Ning Mao, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7258-7258
Open Access | Times Cited: 1
Electric Vehicle Power Consumption Modelling Method Based on Improved Ant Colony Optimization-Support Vector Regression
Jiaan Zhang, Wenxin Liu, Zhenzhen Wang, et al.
Energies (2024) Vol. 17, Iss. 17, pp. 4339-4339
Open Access | Times Cited: 1
Electric Vehicle charging station load forecasting with an integrated DeepBoost approach
Joveria Siddiqui, Ubaid Ahmed, Adil Amin, et al.
Alexandria Engineering Journal (2024) Vol. 116, pp. 331-341
Closed Access | Times Cited: 1
Comparison of Small EV Charging Station's Load Forecasts and it's Impact on the Operational Costs
A. Stein, Anna Sina Starosta, Bernhard Schwarz, et al.
2022 International Conference on Smart Energy Systems and Technologies (SEST) (2023), pp. 1-6
Open Access | Times Cited: 3
Short-Term Forecasting of EV Charging Load Using Prophet-BiLSTM
Chenghan Li, Yipu Liao, Linhong Zou, et al.
2022 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific) (2022)
Closed Access | Times Cited: 5
Short-Term EV Charging Load Predicting Based on Adaptive VMD and LSTM Methods
Quanxue Guan, Qinhe Liu, Di Zhou, et al.
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (2023), pp. 1-6
Closed Access | Times Cited: 2
Electric Vehicle Charging Load Prediction Method Based on Nonlinear Auto-Regressive Neural Networks
Ying Zhao, Jun Dong, Xingyuan Fan, et al.
(2023), pp. 600-605
Closed Access | Times Cited: 2
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