Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Reinforcement learning applied to wastewater treatment process control optimization: Approaches, challenges, and path forward
Henry C. Croll, Kaoru Ikuma, Say Kee Ong, et al.
Critical Reviews in Environmental Science and Technology (2023) Vol. 53, Iss. 20, pp. 1775-1794
Closed Access | Times Cited: 22

Showing 22 citing articles:

Artificial intelligence in wastewater treatment: A data-driven analysis of status and trends
Shubo Zhang, Ying Jin, Wenkang Chen, et al.
Chemosphere (2023) Vol. 336, pp. 139163-139163
Closed Access | Times Cited: 49
Multimodal Machine Learning Guides Low Carbon Aeration Strategies in Urban Wastewater Treatment
Hongcheng Wang, Yuqi Wang, Xu Wang, et al.
Engineering (2024) Vol. 36, pp. 51-62
Open Access | Times Cited: 26
Deep reinforcement learning challenges and opportunities for urban water systems
Ahmed S. Negm, Xiandong Ma, George Aggidis
Water Research (2024) Vol. 253, pp. 121145-121145
Open Access | Times Cited: 15
Application of artificial intelligence in (waste)water disinfection: Emphasizing the regulation of disinfection by-products formation and residues prediction
Yizhe Ding, Qiya Sun, Yuqian Lin, et al.
Water Research (2024) Vol. 253, pp. 121267-121267
Closed Access | Times Cited: 15
Wastewater recycling and groundwater sustainability through self-organizing map and style based generative adversarial networks
B Varasree, V Kavithamani, Prithvi Chandrakanth, et al.
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101092-101092
Closed Access | Times Cited: 9
Insights into the application of explainable artificial intelligence for biological wastewater treatment plants: Updates and perspectives
Abdul Gaffar Sheik, Arvind Kumar, Chandra Sainadh Srungavarapu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110132-110132
Open Access | Times Cited: 1
Systematic Performance Evaluation of Reinforcement Learning Algorithms Applied to Wastewater Treatment Control Optimization
Henry C. Croll, Kaoru Ikuma, Say Kee Ong, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 18382-18390
Closed Access | Times Cited: 18
Reinforcement Learning in Process Industries: Review and Perspective
Oguzhan Dogru, Junyao Xie, Om Prakash, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 2, pp. 283-300
Closed Access | Times Cited: 6
Breaking new ground: Opportunities and challenges in tunnel boring machine operations with integrated management systems and artificial intelligence
Jorge Loy-Benitez, Myung Kyu Song, Yo-Hyun Choi, et al.
Automation in Construction (2023) Vol. 158, pp. 105199-105199
Open Access | Times Cited: 12
Unified control of diverse actions in a wastewater treatment activated sludge system using reinforcement learning for multi-objective optimization
Henry C. Croll, Kaoru Ikuma, Say Kee Ong, et al.
Water Research (2024) Vol. 263, pp. 122179-122179
Closed Access | Times Cited: 4
Bayesian Optimization-Enhanced Reinforcement learning for Self-adaptive and multi-objective control of wastewater treatment
Ziang Zhu, Shaokang Dong, Han Zhang, et al.
Bioresource Technology (2025) Vol. 421, pp. 132210-132210
Closed Access
Reinforcement learning applications in water resource management: a systematic literature review
Linus Kåge, Vlatko Milić, Maria Andersson, et al.
Frontiers in Water (2025) Vol. 7
Open Access
Application of Soft Actor-Critic algorithms in optimizing wastewater treatment with time delays integration
Esmaeel Mohammadi, Daniel Ortíz-Arroyo, Aviaja Anna Hansen, et al.
Expert Systems with Applications (2025), pp. 127180-127180
Open Access
Enhancing offline reinforcement learning for wastewater treatment via transition filter and prioritized approximation loss
Ruyue Yang, Ding Wang, Matthew Li, et al.
Neurocomputing (2025), pp. 129977-129977
Closed Access
Worldwide Research Progress and Trends in Application of Machine Learning to Wastewater Treatment: A Bibliometric Analysis
Kun Zhou, Boran Wu, Xin Zhang
Water (2025) Vol. 17, Iss. 9, pp. 1314-1314
Open Access
Direct learning of improved control policies from historical plant data
Khalid Alhazmi, S. Mani Sarathy
Computers & Chemical Engineering (2024) Vol. 185, pp. 108662-108662
Closed Access | Times Cited: 3
Application of machine learning at wastewater treatment facilities: a review of the science, challenges and barriers by level of implementation
Sanaz Imen, Henry C. Croll, Nicole L. McLellan, et al.
Environmental Technology Reviews (2023) Vol. 12, Iss. 1, pp. 493-516
Closed Access | Times Cited: 7
Data driven multiple objective optimization of AAO process towards wastewater effluent biological toxicity reduction
Jie Hu, Ran Yin, Jinfeng Wang, et al.
npj Clean Water (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2
Real-scale demonstration of digital twins-based aeration control policy optimization in partial nitritation/Anammox process: Policy iterative dynamic programming approach
SungKu Heo, Taeseok Oh, TaeYong Woo, et al.
Desalination (2024), pp. 118235-118235
Closed Access | Times Cited: 1
Reinforcement learning optimization of a water resource recovery facility: Evaluating the impact of reward function design on agent training, control optimization, and treatment risk
Henry C. Croll, Kaoru Ikuma, Say Kee Ong, et al.
Journal of Water Process Engineering (2024) Vol. 69, pp. 106658-106658
Closed Access | Times Cited: 1
Exploring Emerging Technologies for AI-Integrated Advancements in Wastewater Treatment
Sheetal Kumari
Springer water (2024), pp. 223-244
Closed Access
Optimization of a Conventional Tunneling Process Through Offline Reinforcement Learning
Jorge Loy-Benitez, Sean Seungwon Lee
Springer series in geomechanics and geoengineering (2024), pp. 262-271
Closed Access
Direct Learning of Improved Control Policies from Historical Plant Data
Khalid Alhazmi, S. Mani Sarathy
(2023)
Closed Access
Page 1

Scroll to top