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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 deep reinforcement learning based multi-objective optimization for the scheduling of oxygen production system in integrated iron and steel plants
G. R. Che, Yanyan Zhang, Lixin Tang, et al.
Applied Energy (2023) Vol. 345, pp. 121332-121332
Closed Access | Times Cited: 16

Showing 16 citing articles:

Review on ensemble meta-heuristics and reinforcement learning for manufacturing scheduling problems
Yaping Fu, Yifeng Wang, Kaizhou Gao, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109780-109780
Closed Access | Times Cited: 11
Enhancing robustness: Multi-stage adaptive robust scheduling of oxygen systems in steel enterprises under demand uncertainty
Liu Zhang, Zhong Zheng, Yi Chai, et al.
Applied Energy (2024) Vol. 359, pp. 122729-122729
Closed Access | Times Cited: 6
Green supply chain for steel raw materials under price and demand uncertainty
Cong Cheng, Hongmei Chu, Liang Zhang, et al.
Journal of Cleaner Production (2024) Vol. 462, pp. 142621-142621
Closed Access | Times Cited: 4
Multi-objective optimization framework for generative design of horseshoe-shaped pipe arrangement in pre-stressed underground bundles
Wen He, Yue Pan, Yongmao Hou, et al.
Tunnelling and Underground Space Technology (2025) Vol. 158, pp. 106437-106437
Closed Access
From Penalty Function to Learning-Driven: Evolution and Perspectives of Constrained Multi-Objective Evolutionary Algorithm
Min Hu, Gang Huang, Xueying Yang, et al.
(2025)
Closed Access
Cost-effective scheduling of a hydrogen-based iron and steel plant powered by a grid-assisted renewable energy system
Pengfei Su, Yue Zhou, Hongyi Li, et al.
Applied Energy (2025) Vol. 384, pp. 125412-125412
Open Access
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
A novel method-based reinforcement learning with deep temporal difference network for flexible double shop scheduling problem
Xiao Wang, Peisi Zhong, Mei Liu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
State-Space Compression for Efficient Policy Learning in Crude Oil Scheduling
Nan Ma, Hongqi Li, Hualin Liu
Mathematics (2024) Vol. 12, Iss. 3, pp. 393-393
Open Access | Times Cited: 1
A stock border compensation technique for gaseous energy scheduling in steel enterprises under uncertainty
Liu Zhang, Zhong Zheng, Yi Chai, et al.
Computers & Chemical Engineering (2024) Vol. 187, pp. 108719-108719
Closed Access | Times Cited: 1
Data Driven Multi-Agent Deep Reinforcement Learning Based Operational Optimization of Industrial Aerodynamic System
Yunxiang Huang, Lulu Zhong, Yang Liu, et al.
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2024), pp. 464-471
Closed Access
Virtual Simulation-Based Optimization for Assembly Flow Shop Scheduling Using Migratory Bird Algorithm
Wenbin Zhao, Junhan Hu, Zi-Qiao Tang
Biomimetics (2024) Vol. 9, Iss. 9, pp. 571-571
Open Access
Efficient Enhancement of Cryogenic Processes: Extracting Valuable Insights with Minimal Effort
Mona Albatarni, Zineb Bouabidi, Mary A. Katebah, et al.
Energy (2024) Vol. 304, pp. 132123-132123
Closed Access
Ingredient Planning for Copper Industry: A Deep Reinforcement Learning-Based $\epsilon$-Constrained Multi-Objective Optimization Framework
Xuerui Zhang, Zhongyang Han, Zhiyuan Wang, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access
A Reinforcement Learning Based Lagrangian Relaxation Algorithm for Multi-Energy Allocation Problem in Steel Enterprise
Miao Chang, Shengnan Zhao, Lixin Tang, et al.
Computers & Chemical Engineering (2024), pp. 108948-108948
Closed Access
Enhancing Robustness: Multi-Stage Adjustable Scheduling of Oxygen Systems in Steel Enterprises Under Demand Uncertainty
Liu Zhang, Zhong Zheng, Yi Chai, et al.
(2023)
Closed Access
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