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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:

A comparison of reinforcement learning based approaches to appliance scheduling
Namit Chauhan, Neha Choudhary, Koshy George
(2016), pp. 253-258
Closed Access | Times Cited: 18

Showing 18 citing articles:

Review on the research and practice of deep learning and reinforcement learning in smart grids
Dongxia Zhang, Xiaoqing Han, Chunyu Deng
CSEE Journal of Power and Energy Systems (2018) Vol. 4, Iss. 3, pp. 362-370
Open Access | Times Cited: 453
Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges
Fatima Hussain, Syed Ali Hassan, Rasheed Hussain, et al.
IEEE Communications Surveys & Tutorials (2020) Vol. 22, Iss. 2, pp. 1251-1275
Open Access | Times Cited: 312
Smart home energy management systems: Research challenges and survey
Ali Raza, LI Jing-zhao, Yazeed Yasin Ghadi, et al.
Alexandria Engineering Journal (2024) Vol. 92, pp. 117-170
Open Access | Times Cited: 26
Demand Response Strategy Based on Reinforcement Learning and Fuzzy Reasoning for Home Energy Management
Fayiz Alfaverh, Mouloud Denaï, Yichuang Sun
IEEE Access (2020) Vol. 8, pp. 39310-39321
Open Access | Times Cited: 123
Building Energy Management With Reinforcement Learning and Model Predictive Control: A Survey
Huiliang Zhang, Sayani Seal, Di Wu, et al.
IEEE Access (2022) Vol. 10, pp. 27853-27862
Open Access | Times Cited: 49
Day-Ahead Demand Response Potential Prediction in Residential Buildings with HITSKAN: A Fusion of Kolmogorov-Arnold Networks and N-HiTS
Mona Muhammad Ali, Bin Li, Ying Zhou, et al.
Energy and Buildings (2025), pp. 115455-115455
Open Access
Reinforcement Learning Algorithms in Global Path Planning for Mobile Robot
Valentyn N. Sichkar
2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM) (2019), pp. 1-5
Closed Access | Times Cited: 39
MARLA-SG: Multi-Agent Reinforcement Learning Algorithm for Efficient Demand Response in Smart Grid
Sally Aladdin, Samah El-Tantawy, Mostafa M. Fouda, et al.
IEEE Access (2020) Vol. 8, pp. 210626-210639
Open Access | Times Cited: 34
On-Demand Centralized Resource Allocation for IoT Applications: AI-Enabled Benchmark
Ran Zhang, Lei Liu, Mianxiong Dong, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 980-980
Open Access | Times Cited: 3
A multi‐objective multi‐agent deep reinforcement learning approach to residential appliance scheduling
Junlin Lu, Patrick Mannion, Karl Mason
IET Smart Grid (2022) Vol. 5, Iss. 4, pp. 260-280
Open Access | Times Cited: 17
Deep learning and reinforcement learning approach on microgrid
C. Kumar, Prabaakaran Kandasamy, R. Srividhya
International Transactions on Electrical Energy Systems (2020) Vol. 30, Iss. 10
Open Access | Times Cited: 20
A Review of Recent Advances on Reinforcement Learning for Smart Home Energy Management
Huiliang Zhang, Di Wu, Benoît Boulet
2020 IEEE Electric Power and Energy Conference (EPEC) (2020) Vol. 19, pp. 1-6
Closed Access | Times Cited: 13
An Energy Management System at the Edge based on Reinforcement Learning
Franco Cicirelli, Antonio Francesco Gentile, Emilio Greco, et al.
(2020)
Closed Access | Times Cited: 12
Scheduling Algorithms: Challenges Towards Smart Manufacturing
Abebaw Degu Workneh, Maha Gmira
International journal of electrical and computer engineering systems (2022) Vol. 13, Iss. 7, pp. 587-600
Open Access | Times Cited: 4
Reinforcement Learning Based Cost-Effective Smart Home Energy Management
Arpita Benjamin, Altaf Q. H. Badar
(2023), pp. 1-5
Closed Access | Times Cited: 2
Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges
Fatima Hussain, Syed Ali Hassan, Rasheed Hussain, et al.
(2019)
Closed Access | Times Cited: 1
RLF: Directed Fuzzing based on Deep Reinforcement Learning
Xinran Liang, Tian Xiao
(2022) Vol. 2016, pp. 127-133
Closed Access | Times Cited: 1
Enhancement of smart grid technology using end-to-end reinforcement learning in deep q-network
Dhruvi Bansal, Mitashi Bansal, Kusum Tharani, et al.
AIP conference proceedings (2022) Vol. 2555, pp. 040018-040018
Open Access
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