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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 Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTM
Bharat Bohara, Raymond Fernandez, Vysali Gollapudi, et al.
2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) (2022)
Open Access | Times Cited: 16

Showing 16 citing articles:

Comparing Long Short-Term Memory (LSTM) and bidirectional LSTM deep neural networks for power consumption prediction
Davi Guimarães da Silva, Anderson Alvarenga de Moura Meneses
Energy Reports (2023) Vol. 10, pp. 3315-3334
Open Access | Times Cited: 55
State of health estimation of LIB based on discharge section with multi-model combined
Peng Xu, Yuan Huang, Wenwen Ran, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e25808-e25808
Open Access | Times Cited: 6
Multi-hyperplane twin support vector regression guided with fuzzy clustering
Zichen Zhang, Wei‐Chiang Hong, Yongquan Dong
Information Sciences (2024) Vol. 666, pp. 120435-120435
Closed Access | Times Cited: 6
Nowcasting the next hour of residential load using boosting ensemble machines
Ali Muqtadir, Бин Ли, Ying Zhou, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
3D-ResNet-BiLSTM Model: A Deep Learning Model for County-Level Soybean Yield Prediction with Time-Series Sentinel-1, Sentinel-2 Imagery, and Daymet Data
Mahdiyeh Fathi, Reza Shah-Hosseini, Armin Moghimi
Remote Sensing (2023) Vol. 15, Iss. 23, pp. 5551-5551
Open Access | Times Cited: 12
Optimizing resource allocation using proactive scaling with predictive models and custom resources
Bablu Kumar, Anshul Verma, Pradeepika Verma
Computers & Electrical Engineering (2024) Vol. 118, pp. 109419-109419
Closed Access | Times Cited: 4
MSGCN-ISTL: A multi-scaled self-attention-enhanced graph convolutional network with improved STL decomposition for probabilistic load forecasting
Yilei Qiu, Zhou He, Wenyu Zhang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121737-121737
Closed Access | Times Cited: 9
A Medium- and Long-Term Residential Load Forecasting Method Based on Discrete Cosine Transform-FEDformer
Dengao Li, Qi Liu, Ding Feng, et al.
Energies (2024) Vol. 17, Iss. 15, pp. 3676-3676
Open Access | Times Cited: 3
Forecasting of Solar Irradiance and Power in Uncertain Photovoltaic Systems Using BiLSTM and Bayesian Optimization
Manel Marweni, Zahra Yahyaoui, Saïd Chaabani, et al.
Arabian Journal for Science and Engineering (2024)
Closed Access | Times Cited: 2
Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting
Jonathan Yang, Mingjian Tuo, Jin Lu, et al.
(2024), pp. 1-6
Open Access | Times Cited: 1
Prediction of Heat and Cold Loads of Factory Mushroom Houses Based on EWT Decomposition
Hesen Zuo, Wengang Zheng, Mingfei Wang, et al.
Sustainability (2023) Vol. 15, Iss. 21, pp. 15270-15270
Open Access | Times Cited: 2
Forecasting Smart Grid Stability Using a Hybrid CNN Bi-LSTM Approach
Divya Singhal, Laxmi Ahuja, Ashish Seth
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access
An end-to-end algorithm for predicting missing load data based on waveGAIN
Jiang Zhang, Gang Zhou, Yuwei Feng, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 31, pp. 1-8
Closed Access
Day-Ahead Residential Load Forecasting based on Variational Mode Decomposition and Hybrid Deep Networks with Granger Causality Feature Selection
K. Natarajan, Jai Govind Singh
(2024), pp. 1-6
Closed Access
Multi-Feature Integration Neural Network with Two-Stage Training for Short-Term Load Forecasting
Chuyuan Wei, Dechang Pi
Communications in computer and information science (2023), pp. 594-606
Closed Access
Data-driven Intelligent Decision Recommender for the Flexible Scheduling of Electrical Vehicles
Seema Pal, Nitin Singh, Kumar Shantanu, et al.
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 1233-1237
Closed Access
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