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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 Based on CNN-BiLSTM with Bayesian Optimization and Attention Mechanism
Kai Miao, Qiang Hua, Hui-Feng Shi
Lecture notes in computer science (2021), pp. 116-128
Closed Access | Times Cited: 25

Showing 25 citing articles:

A CNN-BiLSTM model with attention mechanism for earthquake prediction
Parisa Kavianpour, Mohammadreza Kavianpour, Ehsan Jahani, et al.
The Journal of Supercomputing (2023) Vol. 79, Iss. 17, pp. 19194-19226
Open Access | Times Cited: 62
HCBiLSTM: A hybrid model for predicting heart disease using CNN and BiLSTM algorithms
P. K. Shrivastava, Mayank Sharma, Pooja Sharma, et al.
Measurement Sensors (2022) Vol. 25, pp. 100657-100657
Open Access | Times Cited: 41
The Hybrid Cardiac Risk Assessment and Prediction Model Using Convolutional Neural Networks
Bhawana Pillai, Ankit Malviya, Mayank Sharma, et al.
Communications in computer and information science (2025), pp. 33-48
Closed Access
Energy Demand Forecasting and Optimizing Electric Systems for Developing Countries
Saadman S. Arnob, Abu Isha Md. Sadot Arefin, Ahmed Yousuf Saber, et al.
IEEE Access (2023) Vol. 11, pp. 39751-39775
Open Access | Times Cited: 12
Forecasting of Short-Term Load Using the MFF-SAM-GCN Model
Yongqi Zou, Wenjiang Feng, Juntao Zhang, et al.
Energies (2022) Vol. 15, Iss. 9, pp. 3140-3140
Open Access | Times Cited: 18
Research on Short-Term Load Forecasting Based on Optimized GRU Neural Network
Chao Li, Quanjie Guo, Lei Shao, et al.
Electronics (2022) Vol. 11, Iss. 22, pp. 3834-3834
Open Access | Times Cited: 16
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
Data glove-based gesture recognition using CNN-BiLSTM model with attention mechanism
Jiawei Wu, Peng Ren, Boming Song, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0294174-e0294174
Open Access | Times Cited: 9
Chaotic Time Series Prediction of Multi‐Dimensional Nonlinear System Based on Bidirectional LSTM Model
Luyao Wang, Liming Dai
Advanced Theory and Simulations (2023) Vol. 6, Iss. 8
Closed Access | Times Cited: 8
Improving Lead Time Forecasting and Anomaly Detection for Automotive Spare Parts with A Combined CNN-LSTM Approach
Asmae Amellal, Issam Amellal, Hamid Seghiouer, et al.
Operations and Supply Chain Management An International Journal (2023), pp. 265-278
Open Access | Times Cited: 7
Enhancing Web Security: Hybrid Deep Learning Model for Robust URL Phishing Detection
Madhukar Dubey, Rajni Ranjan Singh Makwana
(2024), pp. 1-6
Closed Access | Times Cited: 2
Long-Term Wind Speed and Power Forecasting Based on LSTM: A Comprehensive Study
Maryam Joudaki
(2022), pp. 1-4
Closed Access | Times Cited: 9
Improved Quantile Convolutional and Recurrent Neural Networks for Electric Vehicle Battery Temperature Prediction
Andreas M. Billert, Runyao Yu, Stefan Erschen, et al.
Big Data Mining and Analytics (2024) Vol. 7, Iss. 2, pp. 512-530
Open Access | Times Cited: 1
PSR-TSTrans: a Novel Two-stage Predictor Based on Phase Space Reconstruction for Ultra-short-term Power Load Forecasting
Zihan Tang, Tianyao Ji, Caishan Guo, et al.
2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) (2024), pp. 1512-1520
Closed Access | Times Cited: 1
Short-Term Power Load Forecasting Based on SAPSO-CNN-LSTM Model considering Autocorrelated Errors
Yilin Zhang
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 6
Research on Electric Load Forecasting and User Benefit Maximization Under Demand-Side Response
Wenna Zhao, Guoxing Mu, Yanfang Zhu, et al.
International Journal of Swarm Intelligence Research (2023) Vol. 14, Iss. 1, pp. 1-20
Open Access | Times Cited: 3
Multi-Load Comfort Cost Collaborative Optimization Method Based on BiLSTM
Siwei Li, Long Yu, Qinghai Ou, et al.
2022 11th International Conference of Information and Communication Technology (ICTech)) (2024), pp. 70-74
Closed Access
Traffic Prediction Using Auxiliary Information Based on Mlbsae-A Hybrid Deep Learning Framework
Shubhashish Goswami, Abhimanyu Kumar
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023), pp. 1-5
Closed Access | Times Cited: 1
An electric power forecasting method based on dual time series attention mechanism neural network structure
Xianghao Zhan, Lifeng Lei, Liang Kou
2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C) (2021), pp. 918-925
Closed Access | Times Cited: 2
Rapid Identification of Multiple Gases
Juan He, Mengya Li, Rong Zhou, et al.
(2021), pp. 1-6
Closed Access | Times Cited: 1
Leveraging Tweets for Rapid Disaster Response Using BERT-BiLSTM-CNN Model
Satya Pranavi Manthena
(2023)
Open Access
Temporal Convolution and Multi-Attention Jointly Enhanced Electricity Load Forecasting
Chenchen Sun, Hongxin Guo, Derong Shen, et al.
Lecture notes in computer science (2023), pp. 39-51
Closed Access
Urban Daily Water Supply Forecasting Based on the LSTM-AM Model
Yaxin Zhao, Yuebing Xu, Xiaowu Zhang, et al.
(2023), pp. 124-129
Closed Access
Research on Urban Water Supply Network Leakage Forecasting Based on the LSTM-AM Model
Yaxin Zhao, Yuebing Xu, Xiaowu Zhang, et al.
2021 7th International Conference on Computer and Communications (ICCC) (2023), pp. 1548-1552
Closed Access
Energy Consumption Prediction for Multi-functional Buildings Using Convolutional Bidirectional Recurrent Neural Networks
Paul Banda, Muhammed A. Bhuiyan, Guomin Zhang, et al.
Lecture notes in computer science (2021), pp. 292-305
Closed Access
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