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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:

Wind Speed Prediction Using Deep Learning-LSTM and GRU
V. Bharat Kumar, V. Mallikarjuna Nookesh, B. Satya Saketh, et al.
2021 2nd International Conference on Smart Electronics and Communication (ICOSEC) (2021), pp. 602-607
Closed Access | Times Cited: 11

Showing 11 citing articles:

Joint Control Strategy of Wind Storage System Based on Temporal Pattern Attention and Bidirectional Gated Recurrent Unit
Bin Li, Y. P. Lu, Xin Meng, et al.
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2654-2654
Open Access
Heteroscedasticity effects as component to future stock market predictions using RNN-based models
Aida Nabilah Sadon, Shuhaida Ismail, Azme Khamis, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0297641-e0297641
Open Access | Times Cited: 2
Whale Optimization Algorithm BP Neural Network with Chaotic Mapping Improving for SOC Estimation of LMFP Battery
Jian Ouyang, Hao Lin, Hong Ye
Energies (2024) Vol. 17, Iss. 17, pp. 4300-4300
Open Access | Times Cited: 2
Wind Power Prediction using Transformers: A Federated Learning Approach
S. Shivkumar, Rimjhim Padam Singh, Priyanka Kumar
2022 8th International Conference on Signal Processing and Communication (ICSC) (2023), pp. 491-497
Closed Access | Times Cited: 4
Predicting small molecules solubility on endpoint devices using deep ensemble neural networks
Mayk Caldas Ramos, Andrew Dickson White
Digital Discovery (2024) Vol. 3, Iss. 4, pp. 786-795
Open Access | Times Cited: 1
An integrated binary metaheuristic approach in dynamic unit commitment and economic emission dispatch for hybrid energy systems
S Syama, J. Ramprabhakar, R. Anand, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
A novel hybrid methodology for wind speed and solar irradiance forecasting based on improved whale optimized regularized extreme learning machine
S Syama, J. Ramprabhakar, R. Anand, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Comparative Analysis of Machine Learning Algorithms to Predict Solar Irradiance
Anirudh Balan, Thanya Ramanathan, S Syama, et al.
(2022), pp. 167-172
Closed Access | Times Cited: 6
Hybrid Deep Learning Model to Forecast Crude Oil Price
G. Govind, A. Sudhir Babu
2022 International Conference on Inventive Computation Technologies (ICICT) (2023), pp. 19-23
Closed Access | Times Cited: 2
Deep Learning-Based Multistep Forecasting for Photovoltaic Power Generation: A Comprehensive Comparative Study
Udaya Bhaskar G, Vishwa Kiran N, Uday Kumar P, et al.
(2023), pp. 408-413
Closed Access | Times Cited: 1
Support Vector Machine based Short Term Solar Power Prediction
Udaya Baskar G, Vishwa Kiran N, Uday Kumar P, et al.
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (2022), pp. 264-269
Closed Access | Times Cited: 2
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