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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-Aware Scheduling for High-Performance Computing Systems: A Survey
Bartłomiej Kocot, Paweł Czarnul, Jerzy Proficz
Energies (2023) Vol. 16, Iss. 2, pp. 890-890
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

A comprehensive survey of energy-efficient computing to enable sustainable massive IoT networks
Mohammed H. Alsharif, Anabi Hilary Kelechi, Abu Jahid, et al.
Alexandria Engineering Journal (2024) Vol. 91, pp. 12-29
Open Access | Times Cited: 17
Fifty years of research in scheduling – theory and applications
Alessandro Agnetis, Jean-Charles Billaut, Michael Pinedo, et al.
European Journal of Operational Research (2025)
Closed Access
State of the Art in Parallel and Distributed Systems: Emerging Trends and Challenges
Fei Dai, Md Akbar Hossain, Yi Wang
Electronics (2025) Vol. 14, Iss. 4, pp. 677-677
Open Access
How Does Parallelism Impact the Energy Efficiency and Performance of High-Performance Scientific Software? The Case of Haddock
Vincenzo Stoico, Dmitrijs Voronovs, Ivano Malavolta, et al.
(2025)
Closed Access
Managing energy consumption in FPGA-based edgecomputing systems with soft-core CPUs
Oleksandr Hryshchuk, Sergiy Zagorodnyuk
Journal of Edge Computing (2025)
Open Access
Performance enhancement of artificial intelligence: A survey
Moez Krichen, Mohamed S. Abdalzaher
Journal of Network and Computer Applications (2024), pp. 104034-104034
Closed Access | Times Cited: 4
Energy–time modelling of distributed multi-population genetic algorithms with dynamic workload in HPC clusters
Juan José Escobar, Pablo Sánchez-Cuevas, Beatriz Prieto, et al.
Future Generation Computer Systems (2025), pp. 107753-107753
Closed Access
Applying Decision Transformers to Enhance Neural Local Search on the Job Shop Scheduling Problem
Constantin Waubert de Puiseau, Fabian Wolz, Merlin Montag, et al.
AI (2025) Vol. 6, Iss. 3, pp. 48-48
Open Access
AI-based & heuristic workflow scheduling in cloud and fog computing: a systematic review
Navid Khaledian, Marcus Voelp, Sadoon Azizi, et al.
Cluster Computing (2024) Vol. 27, Iss. 8, pp. 10265-10298
Closed Access | Times Cited: 3
Multiconstraint-based quality of service-aware joint optimistic framework for non-orthogonal multiple access-based fog computing vehicular network
C Kumara Narayana Swamy, T. Velmurugan
Computers & Electrical Engineering (2024) Vol. 114, pp. 109070-109070
Closed Access | Times Cited: 2
Light-Weight Prediction for Improving Energy Consumption in HPC Platforms
Danilo Carastan‐Santos, Georges Da Costa, Millian Poquet, et al.
Lecture notes in computer science (2024), pp. 152-165
Closed Access | Times Cited: 1
Neural Network Applications in Electrical Drives—Trends in Control, Estimation, Diagnostics, and Construction
Marcin Kamiński, Tomasz Tarczewski
Energies (2023) Vol. 16, Iss. 11, pp. 4441-4441
Open Access | Times Cited: 4
A Comprehensive Study of Load Balancing Approaches in Real-Time Multi-Core Systems for Mixed Real-Time Tasks
Shruti Jadon, Pradyuman Kavedi Kannan, Urmil Kalaria, et al.
IEEE Access (2024) Vol. 12, pp. 53373-53395
Open Access | Times Cited: 1
Optimization of Home Energy Management Systems in Smart Cities Using Bacterial Foraging Algorithm and Deep Reinforcement Learning for Enhanced Renewable Energy Integration
Mohammed Naif Alatawi
International Transactions on Electrical Energy Systems (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
Evolution of computing energy efficiency: Koomey's law revisited
A. Prieto, Beatriz Prieto, Juan José Escobar, et al.
Cluster Computing (2024) Vol. 28, Iss. 1
Open Access | Times Cited: 1
A novel multi-modal Federated Learning based thermal-aware job scheduling framework
Rameesha Rehman, Saif Ur Rehman Malik, Sumaira Qureshi, et al.
Computer Networks (2024), pp. 110879-110879
Closed Access | Times Cited: 1
Resource-aware research on Universe and Matter: call-to-action in digital transformation
B. Brüers, Marilyn Cruces, Markus Demleitner, et al.
The European Physical Journal Special Topics (2024)
Open Access | Times Cited: 1
Performance Improvement of Processor Through Configurable Approximate Arithmetic Units in Multicore Systems
Seyed Ali Kashani Gharavi, Saeed Safari
IEEE Access (2024) Vol. 12, pp. 43907-43917
Open Access
Run Your HPC Jobs in Eco-Mode: Revealing the Potential of User-Assisted Power Capping in Supercomputing Systems
Luc Angelelli, Danilo Carastan‐Santos, Pierre-François Dutot
Lecture notes in computer science (2024), pp. 181-196
Closed Access
Neural network agents trained by declarative programming tutors
Julian Szymański, Jan Dobrosolski, Higinio Mora, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-7
Closed Access
Enhanced Fourier Series for Precise Signal Analysis
Hsin‐Jung Lee, Cheng-Che Lee, Yimin Yang, et al.
2022 Photonics & Electromagnetics Research Symposium (PIERS) (2024), pp. 1-5
Closed Access
Investigation of Performance and Energy Consumption of Tokenization Algorithms on Multi-core CPUs Under Power Capping
Oksana Diakun, Jan Dobrosolski, Paweł Czarnul
Lecture notes in computer science (2024), pp. 332-346
Closed Access
Performance Characterization of Hardware/Software Communication Interfaces in End-to-End Power Management Solutions of High-Performance Computing Processors
Antonio del Vecchio, Alessandro Ottaviano, Giovanni Bambini, et al.
Energies (2024) Vol. 17, Iss. 22, pp. 5778-5778
Open Access
Scheduling Supercomputer Jobs under Existing Power Consumption Constraints
E. A. Kiselev, Alexander Yarovoy, P. N. Telegin, et al.
Lobachevskii Journal of Mathematics (2024) Vol. 45, Iss. 10, pp. 5082-5091
Closed Access
Performance and Energy Aware Training of a Deep Neural Network in a Multi-GPU Environment with Power Capping
Grzegorz Koszczał, Jan Dobrosolski, Mariusz Matuszek, et al.
Lecture notes in computer science (2024), pp. 5-16
Open Access
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