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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:

Explainable multi-agent deep reinforcement learning for real-time demand response towards sustainable manufacturing
Lingxiang Yun, Di Wang, Lin Li
Applied Energy (2023) Vol. 347, pp. 121324-121324
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Cost-effective industrial internet of things network planning for sustainable manufacturing systems
Lingxiang Yun, Lin Li, Jiapei Zhang, et al.
International Journal of Production Economics (2025) Vol. 281, pp. 109517-109517
Closed Access | Times Cited: 1
Hierarchical energy management for power distribution networks and discrete manufacturing systems: A fully distributed parallel approach
Xiaoqing Zhong, Guotao Wang, Zhiling Guo
Energy 360. (2025), pp. 100017-100017
Closed Access | Times Cited: 1
Hydrogen-electricity coupling energy storage systems: Models, applications, and deep reinforcement learning algorithms
Zheng Jiehui, Yingying Su, Wenhao Wang, et al.
Clean Energy Science and Technology (2024) Vol. 2, Iss. 1, pp. 96-96
Open Access | Times Cited: 7
Explainable reinforcement learning for distribution network reconfiguration
Nastaran Gholizadeh, Petr Musı́lek
Energy Reports (2024) Vol. 11, pp. 5703-5715
Open Access | Times Cited: 5
Leveraging AI for energy-efficient manufacturing systems: Review and future prospectives
Mohamed Abadi, Chao Liu, Mingyu Zhang, et al.
Journal of Manufacturing Systems (2024) Vol. 78, pp. 153-177
Open Access | Times Cited: 5
Deep reinforcement learning based dynamic pricing for demand response considering market and supply constraints
Alejandro Fraija, Nilson Henao, Kodjo Agbossou, et al.
Smart Energy (2024) Vol. 14, pp. 100139-100139
Open Access | Times Cited: 4
Contrastive Learning Methods for Deep Reinforcement Learning
Di Wang, Mengqi Hu
IEEE Access (2023) Vol. 11, pp. 97107-97117
Open Access | Times Cited: 10
A Comprehensive Study on Transformer-Based Time Series Forecasting
Di Wang
Advances in computational intelligence and robotics book series (2025), pp. 159-180
Closed Access
Deep Reinforcement Learning for Facilitating Human-Robot Interaction in Manufacturing
Nathan Eskue, Márcia Baptista
Springer series in advanced manufacturing (2025), pp. 69-95
Closed Access
Bi-level day-ahead and real-time hybrid pricing model and it’s reinforcement learning method
He Youmeng, Gu Chunhua, Yan Gao, et al.
Energy (2025), pp. 135316-135316
Closed Access
Review of Power Market Optimization Strategies Based on Industrial Load Flexibility
Caixin Yan, Zhifeng Qiu
Energies (2025) Vol. 18, Iss. 7, pp. 1569-1569
Open Access
Reverse Logistics Network Planning for Cloud Remanufacturing: Exploring Additive Manufacturing in the Circular Economy
Lingxiang Yun, Muyue Han
Journal of Cleaner Production (2025), pp. 145439-145439
Closed Access
Smart adaptable assembly line rebalancing and maintenance
Mohammadreza Nikkerdar, Waguih ElMaraghy
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access
Explainable artificial intelligence for energy systems maintenance: A review on concepts, current techniques, challenges, and prospects
Mohammad Reza Shadi, Hamid Mirshekali, Hamid Reza Shaker
Renewable and Sustainable Energy Reviews (2025) Vol. 216, pp. 115668-115668
Open Access
EFJSP-IBDR: Energy-efficient flexible job shop scheduling under incentive-based demand response via graph reinforcement learning with dual attention mechanism
Mingzhou Liu, Zhangjie Rui, Xi Zhang, et al.
Expert Systems with Applications (2025), pp. 127340-127340
Closed Access
Demand response with incomplete information: A systematic review
Lidong Huang, Hui Liu, Bin Liu, et al.
Electric Power Systems Research (2025) Vol. 246, pp. 111720-111720
Closed Access
Predicting and publishing accurate imbalance prices using Monte Carlo Tree Search
Fabio Pavirani, Jonas Van Gompel, Seyed Soroush Karimi Madahi, et al.
Applied Energy (2025) Vol. 392, pp. 125944-125944
Open Access
Multi-agent deep reinforcement learning based demand response and energy management for heavy industries with discrete manufacturing systems
Atit Bashyal, Tina Boroukhian, Pakin Veerachanchai, et al.
Applied Energy (2025) Vol. 392, pp. 125990-125990
Open Access
Explainable reinforcement learning for enhancing personal thermal comfort and optimizing demand response in household multi-zone HVAC system
Yongxin Su, Mengyao Xu, Xiao Liu, et al.
Science China Technological Sciences (2025) Vol. 68, Iss. 6
Closed Access
An Scoping Review: Explainable Deep Learning Approach for Automated Sismo-Volcanic Event Classification
Edison Paria Fernandez, Edgar Sarmiento-Calisaya, Reynaldo Alfonte Zapana
Communications in computer and information science (2025), pp. 51-67
Closed Access
Robust Adversarial Deep Reinforcement Learning
Di Wang
Advances in computational intelligence and robotics book series (2024), pp. 106-125
Closed Access | Times Cited: 3
Explainable Deep Reinforcement Learning for Knowledge Graph Reasoning
Di Wang
Advances in computational intelligence and robotics book series (2023), pp. 168-183
Closed Access | Times Cited: 7
Exploration-enhanced multi-agent reinforcement learning for distributed PV-ESS scheduling with incomplete data
Yutong Li, Jian Hou, Gangfeng Yan
Applied Energy (2024) Vol. 359, pp. 122744-122744
Closed Access | Times Cited: 2
Graph reinforcement learning for flexible job shop scheduling under industrial demand response: A production and energy nexus perspective
Zhangjie Rui, Xi Zhang, Mingzhou Liu, et al.
Computers & Industrial Engineering (2024) Vol. 193, pp. 110325-110325
Closed Access | Times Cited: 2
Distill2Explain: Differentiable decision trees for explainable reinforcement learning in energy application controllers
Gargya Gokhale, Seyed Soroush Karimi Madahi, Bert Claessens, et al.
(2024), pp. 55-64
Open Access | Times Cited: 2
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