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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:

Big Data Analytics for Discovering Electricity Consumption Patterns in Smart Cities
R. Pérez-Chacón, José María Luna-Romera, Alicia Troncoso, et al.
Energies (2018) Vol. 11, Iss. 3, pp. 683-683
Open Access | Times Cited: 98

Showing 1-25 of 98 citing articles:

Big data analytics in smart grids: state‐of‐the‐art, challenges, opportunities, and future directions
Bishnu Bhattarai, Sumit Paudyal, Yusheng Luo, et al.
IET Smart Grid (2019) Vol. 2, Iss. 2, pp. 141-154
Open Access | Times Cited: 229
Machine learning based system for managing energy efficiency of public sector as an approach towards smart cities
Marijana Zekić–Sušac, Saša Mitrović, Adela Has
International Journal of Information Management (2020) Vol. 58, pp. 102074-102074
Open Access | Times Cited: 208
Electricity Price and Load Forecasting using Enhanced Convolutional Neural Network and Enhanced Support Vector Regression in Smart Grids
Maheen Zahid, Fahad Ahmed, Nadeem Javaid, et al.
Electronics (2019) Vol. 8, Iss. 2, pp. 122-122
Open Access | Times Cited: 152
K-Means and Alternative Clustering Methods in Modern Power Systems
Seyed Mahdi Miraftabzadeh, Cristian Giovanni Colombo, Michela Longo, et al.
IEEE Access (2023) Vol. 11, pp. 119596-119633
Open Access | Times Cited: 46
The Smart City Business Model Canvas—A Smart City Business Modeling Framework and Practical Tool
Paraskevi Giourka, Mark H. Sanders, Komninos Angelakoglou, et al.
Energies (2019) Vol. 12, Iss. 24, pp. 4798-4798
Open Access | Times Cited: 123
Deep Long Short-Term Memory: A New Price and Load Forecasting Scheme for Big Data in Smart Cities
Sana Mujeeb, Nadeem Javaid, Manzoor Ilahi, et al.
Sustainability (2019) Vol. 11, Iss. 4, pp. 987-987
Open Access | Times Cited: 106
Clustering of residential electricity customers using load time series
O. Motlagh, Adam Berry, Lachlan O’Neil
Applied Energy (2019) Vol. 237, pp. 11-24
Closed Access | Times Cited: 104
Holistic big data integrated artificial intelligent modeling to improve privacy and security in data management of smart cities
Jie Chen, Ramanathan Lakshmanan, Mamoun Alazab
Microprocessors and Microsystems (2020) Vol. 81, pp. 103722-103722
Closed Access | Times Cited: 94
Data Mining and Machine Learning to Promote Smart Cities: A Systematic Review from 2000 to 2018
Jovani Taveira de Souza, Antônio Carlos de Francisco, Cassiano Moro Piekarski, et al.
Sustainability (2019) Vol. 11, Iss. 4, pp. 1077-1077
Open Access | Times Cited: 88
Intelligent Street Lighting in a Smart City Concepts—A Direction to Energy Saving in Cities: An Overview and Case Study
Konrad Henryk Bachanek, Blanka Tundys, Tomasz Wiśniewski, et al.
Energies (2021) Vol. 14, Iss. 11, pp. 3018-3018
Open Access | Times Cited: 80
Energy Consumption Prediction Using Machine Learning; A Review
Amir Mosavi, Abdullah Bahmani
(2019)
Open Access | Times Cited: 79
ARIMA Models in Electrical Load Forecasting and Their Robustness to Noise
Ewa Chodakowska, Joanicjusz Nazarko, Łukasz Nazarko
Energies (2021) Vol. 14, Iss. 23, pp. 7952-7952
Open Access | Times Cited: 79
Predicting energy cost of public buildings by artificial neural networks, CART, and random forest
Marijana Zekić–Sušac, Adela Has, Marinela Knežević
Neurocomputing (2021) Vol. 439, pp. 223-233
Closed Access | Times Cited: 71
Artificial Intelligence Applications and Self-Learning 6G Networks for Smart Cities Digital Ecosystems: Taxonomy, Challenges, and Future Directions
Leila Ismail, Rajkumar Buyya
Sensors (2022) Vol. 22, Iss. 15, pp. 5750-5750
Open Access | Times Cited: 46
IMPACT ASSESSMENT OF MACHINE LEARNING ALGORITHMS ON RESOURCE EFFICIENCY AND MANAGEMENT IN URBAN DEVELOPMENTS
Md Arif Hossain, Md Samiul Alam Mazumder, M. Bari, et al.
Deleted Journal (2024) Vol. 1, Iss. 2, pp. 1-9
Open Access | Times Cited: 10
Dominant Data Set Selection Algorithms for Electricity Consumption Time-Series Data Analysis Based on Affine Transformation
Yi Wu, Yi Liu, Syed Hassan Ahmed, et al.
IEEE Internet of Things Journal (2019) Vol. 7, Iss. 5, pp. 4347-4360
Open Access | Times Cited: 66
Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings
Xiaojun Luo, Lukumon O. Oyedele, Anuoluwapo Ajayi, et al.
Energy and AI (2020) Vol. 2, pp. 100015-100015
Open Access | Times Cited: 64
Recognition and classification of typical load profiles in buildings with non-intrusive learning approach
Marco Savino Piscitelli, Silvio Brandi, Alfonso Capozzoli
Applied Energy (2019) Vol. 255, pp. 113727-113727
Open Access | Times Cited: 55
Machine Learning Technologies for Sustainability in Smart Cities in the Post-COVID Era
Ana de las Heras, Amalia Luque Sendra, Francisco Zamora‐Polo
Sustainability (2020) Vol. 12, Iss. 22, pp. 9320-9320
Open Access | Times Cited: 50
Smart Cities and Big Data Analytics: A Data-Driven Decision-Making Use Case
Ahmed M. Shahat Osman, Ahmed Elragal
Smart Cities (2021) Vol. 4, Iss. 1, pp. 286-313
Open Access | Times Cited: 46
Literature Review on the Smart City Resources Analysis with Big Data Methodologies
Regina Gubareva, Rui Pedro Lopes
SN Computer Science (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 7
A Novel Energy Optimization Approach for Electrical Vehicles in a Smart City
Aymen Flah, Chokri Mahmoudi
Energies (2019) Vol. 12, Iss. 5, pp. 929-929
Open Access | Times Cited: 48
Insights into demand-side management with big data analytics in electricity consumers’ behaviour
Simona‐Vasilica Oprea, Adela Bârã, Bogdan-George Tudorică, et al.
Computers & Electrical Engineering (2020) Vol. 89, pp. 106902-106902
Closed Access | Times Cited: 45
On construction of an energy monitoring service using big data technology for the smart campus
Chao‐Tung Yang, Shuo-Tsung Chen, Jung‐Chun Liu, et al.
Cluster Computing (2019) Vol. 23, Iss. 1, pp. 265-288
Closed Access | Times Cited: 44
Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand
R. Pérez-Chacón, Gualberto Asencio-Cortés, Francisco Martínez–Álvarez, et al.
Information Sciences (2020) Vol. 540, pp. 160-174
Closed Access | Times Cited: 44
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