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:

Comparative Analysis of different Machine learning Models for Load Forecasting
Rashmi Bareth, Matushree Kochar, Anamika Yadav
(2023)
Closed Access | Times Cited: 8

Showing 8 citing articles:

Gaussian process regression‐based load forecasting model
Anamika Yadav, Rashmi Bareth, Matushree Kochar, et al.
IET Generation Transmission & Distribution (2023) Vol. 18, Iss. 5, pp. 899-910
Open Access | Times Cited: 23

Feature Selection and Hyperparameters Optimization Employing a Hybrid Model Based on Genetic Algorithm and Artificial Neural Network: Forecasting Dividend Payout Ratio
Fatih KONAK, Mehmet Akif Bülbül, Diler TÜRKOĞLU
Computational Economics (2024) Vol. 63, Iss. 4, pp. 1673-1693
Closed Access | Times Cited: 6

Machine Learning Techniques for Demand Forecasting in the Electricity Sector
Firuz Ahamed Nahid, Hussain Ahmed Chowdhury, Mohammad Nayeem Jahangir
(2025), pp. 131-172
Closed Access

Day Ahead Load Demand Forecasting based on LSTM Machine Learning Model
Rashmi Bareth, Anamika Yadav
(2024)
Closed Access

Regression based prediction of higher heating value for refuse-derived fuel using convolutional neural networks predicted elemental data and spectrographic measurements
Baki Osman Bekgöz, Zerrin Günkaya, Kemal Özkan, et al.
Waste Disposal & Sustainable Energy (2024) Vol. 6, Iss. 3, pp. 429-437
Closed Access

Artificial Neural Network for short-term load forecasting: An evaluation based on Chhattisgarh State
Suruchi Shrivastava, Anamika Yadav, Shubhrata Gupta
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) (2024), pp. 1-6
Closed Access

Electrical Load Demand Forecast for Gujarat State of India using Machine Learning Models
Priyanshu Kumar Chandra, Deepak Bajaj, Himanshu Sharma, et al.
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) (2024) Vol. 7, pp. 1-6
Closed Access

Long Term Load Forecasting Model for Chhattisgarh State
Matushree Kochar, Suruchi Shrivastava, Anamika Yadav, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 1

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