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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:

Energy Usage Forecasting Model Based on Long Short-Term Memory (LSTM) and eXplainable Artificial Intelligence (XAI)
Muhammad Rifqi Maarif, Arif Rahman Saleh, Muhammad Habibi, et al.
Information (2023) Vol. 14, Iss. 5, pp. 265-265
Open Access | Times Cited: 16

Showing 16 citing articles:

Design of IoT energy consumption forecasting model for residential buildings based on improved long short-term memory (LSTM)
Mustafa Wassef Hasan
Deleted Journal (2025), pp. 100033-100033
Open Access | Times Cited: 1
Nonlinear relationship between physical environment risks, investor attentions, and financial systemic risks: Evidence from mLSTM-CoVaR networks
Ziwei Wang, Yibo Liu
Journal of Environmental Management (2025) Vol. 374, pp. 124065-124065
Closed Access
DSS4EX: A Decision Support System framework to explore Artificial Intelligence pipelines with an application in time series forecasting
Giulia Rinaldi, Konstantinos Theodorakos, Fernando Crema Garcia, et al.
Expert Systems with Applications (2025), pp. 126421-126421
Open Access
Time-Series Neural Network: A High-Accuracy Time-Series Forecasting Method Based on Kernel Filter and Time Attention
Lexin Zhang, Ruihan Wang, Zhuoyuan Li, et al.
Information (2023) Vol. 14, Iss. 9, pp. 500-500
Open Access | Times Cited: 13
Two-stage stock portfolio optimization based on AI-powered price prediction and mean-CVaR models
Chia‐Hung Wang, Yingping Zeng, Jinchen Yuan
Expert Systems with Applications (2024) Vol. 255, pp. 124555-124555
Closed Access | Times Cited: 3
1D Convolutional LSTM-based wind power prediction integrated with PkNN data imputation technique
Farah Shahid, Atif Mehmood, Rizwan Khan, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 10, pp. 101816-101816
Open Access | Times Cited: 9
A Comparative Analysis between K-Means and Agglomerative Clustering Techniques in Maritime Skill Certification
Deny Adi Setyawan, Agustina Purwatiningsih
Compiler (2024) Vol. 13, Iss. 1, pp. 45-45
Open Access | Times Cited: 1
Predictive Maintenance in Smart Grids with Long Short-Term Memory Networks (LSTM)
Himanshu Rai Goyal, Muntather Almusawi, S. Otero, et al.
(2024), pp. 1370-1375
Closed Access | Times Cited: 1
Deep Learning Method to Analyze the Bi-LSTM Model for Energy Consumption Forecasting in Smart Cities
S. Balasubramaniyan, Pradeep Kumar, M. Vaigundamoorthi, et al.
(2023)
Closed Access | Times Cited: 2
Application of SHAP and Multi-Agent Approach for Short-Term Forecast of Power Consumption of Gas Industry Enterprises
Alina I. Stepanova, Alexandra I. Khalyasmaa, Павел Матренин, et al.
Algorithms (2024) Vol. 17, Iss. 10, pp. 447-447
Open Access
Exploring Long Short Term Memory Algorithms for Low Energy Data Aggregation
Gi Hwan Oh
Journal of Machine and Computing (2024), pp. 71-82
Open Access
Deep Learning Techniques for Wind Speed Forecasting at Palembang Airport
Akbar Rizki Ramadhan, Tri Basuki Kurniawan, Misinem Misinem, et al.
Journal of Data Sciences (2024) Vol. 2024, Iss. 1
Open Access
eXplainable artificial intelligence (XAI) in business management research: a success/failure system perspective
Tsung‐Sheng Chang, Dong-Yih Bau
Journal of Electronic Business & Digital Economics (2024)
Closed Access
A Novel Machine Learning Approach to Optimize Energy Forecasting in Industry
Vignesh Perumal, June Tay
TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) (2024), pp. 1428-1431
Closed Access
Business Purchase Prediction Based on XAI and LSTM Neural Networks
Bratislav Predić, Milica Ćirić, Leonid Stoimenov
Electronics (2023) Vol. 12, Iss. 21, pp. 4510-4510
Open Access | Times Cited: 1
Analysis of Statistical and Deep Learning Techniques for Temperature Forecasting
S. Kruthika, Umamaheswari Rajasekaran, A. Malini, et al.
Recent Advances in Computer Science and Communications (2023) Vol. 17, Iss. 2
Closed Access
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