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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:

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

Showing 1-25 of 208 citing articles:

Digital transformation in business and management research: An overview of the current status quo
Sascha Kraus, Susanne Durst, João J. Ferreira, et al.
International Journal of Information Management (2021) Vol. 63, pp. 102466-102466
Open Access | Times Cited: 574
Future smart cities: requirements, emerging technologies, applications, challenges, and future aspects
Abdul Rehman Javed, Faisal Shahzad, Saif Ur Rehman, et al.
Cities (2022) Vol. 129, pp. 103794-103794
Open Access | Times Cited: 376
Digital economy, energy efficiency, and carbon emissions: Evidence from provincial panel data in China
Lu Zhang, Renyan Mu, Yuan-Fang Zhan, et al.
The Science of The Total Environment (2022) Vol. 852, pp. 158403-158403
Closed Access | Times Cited: 315
Smartening sustainable development in cities: Strengthening the theoretical linkage between smart cities and SDGs
Silvia Blasi, Andrea Ganzaroli, Ivan De Noni
Sustainable Cities and Society (2022) Vol. 80, pp. 103793-103793
Closed Access | Times Cited: 173
Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review
Arash Heidari, Nima Jafari Navimipour, Mehmet Ünal
Sustainable Cities and Society (2022) Vol. 85, pp. 104089-104089
Closed Access | Times Cited: 173
Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption — A systematic review
Mohamad Khalil, A. Stephen McGough, Zoya Pourmirza, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105287-105287
Closed Access | Times Cited: 149
Machine Learning Applications in Internet-of-Drones: Systematic Review, Recent Deployments, and Open Issues
Arash Heidari, Nima Jafari Navimipour, Mehmet Ünal, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 12, pp. 1-45
Closed Access | Times Cited: 115
Machine learning for spatial analyses in urban areas: a scoping review
Ylenia Casali, Nazli Yonca Aydin, Tina Comes
Sustainable Cities and Society (2022) Vol. 85, pp. 104050-104050
Open Access | Times Cited: 89
Artificial Intelligence and Machine Learning for Energy Consumption and Production in Emerging Markets: A Review
David Mhlanga
Energies (2023) Vol. 16, Iss. 2, pp. 745-745
Open Access | Times Cited: 77
Environmental performance evaluation of electric enterprises during a power crisis: Evidence from DEA methods and AI prediction algorithms
Yinghao Pan, Chaochao Zhang, Chien‐Chiang Lee, et al.
Energy Economics (2024) Vol. 130, pp. 107285-107285
Closed Access | Times Cited: 66
A Comprehensive Review of Artificial Intelligence (AI) Companies in the Power Sector
Vladimir Franki, Darin Majnarić, Alfredo Višković
Energies (2023) Vol. 16, Iss. 3, pp. 1077-1077
Open Access | Times Cited: 51
Unlocking the Future: Fostering Human–Machine Collaboration and Driving Intelligent Automation through Industry 5.0 in Smart Cities
Amr Adel
Smart Cities (2023) Vol. 6, Iss. 5, pp. 2742-2782
Open Access | Times Cited: 50
A review of green artificial intelligence: Towards a more sustainable future
Verónica Bolón‐Canedo, Laura Morán‐Fernández, Brais Cancela, et al.
Neurocomputing (2024) Vol. 599, pp. 128096-128096
Open Access | Times Cited: 31
Smart Cities and Urban Energy Planning: An Advanced Review of Promises and Challenges
Saeed Esfandi, Safiyeh Tayebi, John Byrne, et al.
Smart Cities (2024) Vol. 7, Iss. 1, pp. 414-444
Open Access | Times Cited: 19
A critical review of machine learning algorithms in maritime, offshore, and oil & gas corrosion research: A comprehensive analysis of ANN and RF models
Md Mahadi Hasan Imran, Shahrizan Jamaludin, Ahmad Faisal Mohamad Ayob
Ocean Engineering (2024) Vol. 295, pp. 116796-116796
Closed Access | Times Cited: 18
Automation systems in smart buildings: a review
D. S. Vijayan, A. Leema Rose, Arvindan Sivasuriyan, et al.
Journal of Ambient Intelligence and Humanized Computing (2020)
Closed Access | Times Cited: 120
Information Management in Smart Cities: Turning end users’ views into multi-item scale development, validation, and policy-making recommendations
Miltiadis D. Lytras, Anna Visvizi, Prasanta Kr Chopdar, et al.
International Journal of Information Management (2020) Vol. 56, pp. 102146-102146
Closed Access | Times Cited: 109
Building power consumption datasets: Survey, taxonomy and future directions
Yassine Himeur, Abdullah Alsalemi, Fayçal Bensaali, et al.
Energy and Buildings (2020) Vol. 227, pp. 110404-110404
Open Access | Times Cited: 96
A Systematic Review of Energy Management Strategies for Resource Allocation in the Cloud: Clustering, Optimization and Machine Learning
Stanly Jayaprakash, N. Devarajan, Rocío Pérez de Prado, et al.
Energies (2021) Vol. 14, Iss. 17, pp. 5322-5322
Open Access | Times Cited: 79
New Opportunities, Challenges, and Applications of Edge-AI for Connected Healthcare in Internet of Medical Things for Smart Cities
M. M. Kamruzzaman, Ibrahim Alrashdi, Ali Alqazzaz
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 59
Understanding Sustainable Energy in the Context of Smart Cities: A PRISMA Review
Tatiana Tucunduva Philippi Cortese, Jairo Filho Sousa de Almeida, Giseli Quirino Batista, et al.
Energies (2022) Vol. 15, Iss. 7, pp. 2382-2382
Open Access | Times Cited: 53
Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey
Aji Gautama Putrada, Maman Abdurohman, Doan Perdana, et al.
IEEE Access (2022) Vol. 10, pp. 45137-45178
Open Access | Times Cited: 52
Management of Smart and Sustainable Cities in the Post-COVID-19 Era: Lessons and Implications
Wadim Striełkowski, Svetlana Zenchenko, Anna Tarasova, et al.
Sustainability (2022) Vol. 14, Iss. 12, pp. 7267-7267
Open Access | Times Cited: 51
Stacking Deep learning and Machine learning models for short-term energy consumption forecasting
Sujan Reddy A, S. Akashdeep, R. Harshvardhan, et al.
Advanced Engineering Informatics (2022) Vol. 52, pp. 101542-101542
Closed Access | Times Cited: 48
Machine learning approach of detecting anomalies and forecasting time-series of IoT devices
Amer Malki, El‐Sayed Atlam, Ibrahim Gad
Alexandria Engineering Journal (2022) Vol. 61, Iss. 11, pp. 8973-8986
Open Access | Times Cited: 44
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