
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:
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
Djamel Eddine Mekkaoui, Mohamed Amine Midoun, Yanming Shen
Applied Intelligence (2024) Vol. 54, Iss. 5, pp. 4352-4369
Closed Access | Times Cited: 8
Showing 8 citing articles:
ResiDualNet: A novel electric vehicle charging data imputation technique to enhance load forecasting accuracy
Belal Mahmud Fahim, Mohammad Kaosain Akbar, Manar Amayri
Building Simulation (2025)
Closed Access
Belal Mahmud Fahim, Mohammad Kaosain Akbar, Manar Amayri
Building Simulation (2025)
Closed Access
An optimized informer model design for electric vehicle SOC prediction
Xie Xin, Feng Huang, Yong Long, et al.
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0314255-e0314255
Open Access
Xie Xin, Feng Huang, Yong Long, et al.
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0314255-e0314255
Open Access
Collaborative planning of regional integrated energy system in the era of EV penetration: A comprehensive review
Qing Yang, Yingjun Ruan, Fanyue Qian, et al.
Sustainable Cities and Society (2024), pp. 106013-106013
Closed Access | Times Cited: 2
Qing Yang, Yingjun Ruan, Fanyue Qian, et al.
Sustainable Cities and Society (2024), pp. 106013-106013
Closed Access | Times Cited: 2
Achieving accurate and balanced regional electric vehicle charging load forecasting with a dynamic road network: a case study of Lanzhou City
Hanting Li, Minan Tang, Yunfei Mu, et al.
Applied Intelligence (2024) Vol. 54, Iss. 19, pp. 9230-9252
Closed Access | Times Cited: 1
Hanting Li, Minan Tang, Yunfei Mu, et al.
Applied Intelligence (2024) Vol. 54, Iss. 19, pp. 9230-9252
Closed 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
Sijiang Ma, Ning Jin, Ning Mao, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7258-7258
Open Access | Times Cited: 1
Probabilistic Dual-Adaptive Spatio-Temporal Graph Convolutional Networks for forecasting energy consumption dynamics of electric vehicle charging stations
Djamel Eddine Mekkaoui, Mohamed Amine Midoun, Abdelkarim Smaili, et al.
Computers & Electrical Engineering (2024) Vol. 122, pp. 109976-109976
Closed Access | Times Cited: 1
Djamel Eddine Mekkaoui, Mohamed Amine Midoun, Abdelkarim Smaili, et al.
Computers & Electrical Engineering (2024) Vol. 122, pp. 109976-109976
Closed Access | Times Cited: 1
A V2G power response model based on the prediction, evaluation, and correction of charging stations real‐time frequency regulation capability
Leyan Ding, Jun Yang, Song Ke, et al.
IET Generation Transmission & Distribution (2024)
Open Access | Times Cited: 1
Leyan Ding, Jun Yang, Song Ke, et al.
IET Generation Transmission & Distribution (2024)
Open Access | Times Cited: 1
Electric Vehicle Charging Load Prediction Based on Weight Fusion Spatial–Temporal Graph Convolutional Network
Jun Zhang, Huiluan Cong, Hui Zhou, et al.
Energies (2024) Vol. 17, Iss. 19, pp. 4798-4798
Open Access
Jun Zhang, Huiluan Cong, Hui Zhou, et al.
Energies (2024) Vol. 17, Iss. 19, pp. 4798-4798
Open Access