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:
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: 14
Ahmed S. Negm, Xiandong Ma, George Aggidis
Water Research (2024) Vol. 253, pp. 121145-121145
Open Access | Times Cited: 14
Showing 14 citing articles:
Unlocking the Potential of Artificial Intelligence for Sustainable Water Management Focusing Operational Applications
J. Drisya, Adel Bouhoula, Waleed Al-Zubari
Water (2024) Vol. 16, Iss. 22, pp. 3328-3328
Open Access | Times Cited: 5
J. Drisya, Adel Bouhoula, Waleed Al-Zubari
Water (2024) Vol. 16, Iss. 22, pp. 3328-3328
Open Access | Times Cited: 5
Dimensions of Superiority: How Deep Reinforcement Learning Excels in Urban Drainage System Real-time Control
Zhenyu Huang, Yiming Wang, Xin Dong
Water Research X (2025) Vol. 28, pp. 100313-100313
Open Access
Zhenyu Huang, Yiming Wang, Xin Dong
Water Research X (2025) Vol. 28, pp. 100313-100313
Open Access
Integrating machine learning with the Minimum Cumulative Resistance Model to assess the impact of urban land use on road waterlogging risk
Xiaotian Qi, Soon‐Thiam Khu, Pei Yu, et al.
Journal of Hydrology (2025), pp. 132842-132842
Closed Access
Xiaotian Qi, Soon‐Thiam Khu, Pei Yu, et al.
Journal of Hydrology (2025), pp. 132842-132842
Closed Access
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
Ziang Zhu, Shaokang Dong, Han Zhang, et al.
Bioresource Technology (2025) Vol. 421, pp. 132210-132210
Closed Access
Autonomous real-time control for membrane capacitive deionization
Jaegyu Shim, Suin Lee, Nakyeong Yun, et al.
Water Research (2024) Vol. 262, pp. 122086-122086
Closed Access | Times Cited: 1
Jaegyu Shim, Suin Lee, Nakyeong Yun, et al.
Water Research (2024) Vol. 262, pp. 122086-122086
Closed Access | Times Cited: 1
Multiobjective Optimization of Papermaking Wastewater Treatment Processes under Economic, Energy, and Environmental Goals
Zhenglei He, Zaohao Lu, Xu Wang, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 36, pp. 16076-16086
Closed Access | Times Cited: 1
Zhenglei He, Zaohao Lu, Xu Wang, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 36, pp. 16076-16086
Closed Access | Times Cited: 1
A Deep-level Decomposed Model to Accelerate Hydraulic Simulations in Large Water Distribution Networks
Shuyi Guo, Kunlun Xin, Tao Tao, et al.
Water Research (2024) Vol. 266, pp. 122318-122318
Closed Access | Times Cited: 1
Shuyi Guo, Kunlun Xin, Tao Tao, et al.
Water Research (2024) Vol. 266, pp. 122318-122318
Closed Access | Times Cited: 1
Data-driven neural networks for biological wastewater resource recovery: development and challenges
Runze Xu, Jiashun Cao, Jingyang Luo, et al.
Journal of Cleaner Production (2024) Vol. 476, pp. 143781-143781
Closed Access
Runze Xu, Jiashun Cao, Jingyang Luo, et al.
Journal of Cleaner Production (2024) Vol. 476, pp. 143781-143781
Closed Access
Marine Resources: Identification, Restoring, and Monitoring of Fisheries Food Resources Using Deep Learning and Image Processing
N. Nasurudeen Ahamed, Amreen Ayesha
(2024), pp. 101-121
Closed Access
N. Nasurudeen Ahamed, Amreen Ayesha
(2024), pp. 101-121
Closed Access
Optimal Solar‐Biomass‐Diesel‐Generator Hybrid Energy for Water Pumping System Considering Demand Response
Olumuyiwa Taiwo Amusan, Nnamdi Nwulu, Saheed Lekan Gbadamosi
Engineering Reports (2024)
Closed Access
Olumuyiwa Taiwo Amusan, Nnamdi Nwulu, Saheed Lekan Gbadamosi
Engineering Reports (2024)
Closed Access
Neural Prognostication of Thyroid Carcinoma Recurrence an Interdisciplinary Inquiry into Predictive Modelling and Computational Oncology
R. Sireesha, K. Nandini, Srimathkandala Ch V. S. Vyshnavi, et al.
Lecture notes in networks and systems (2024), pp. 503-516
Closed Access
R. Sireesha, K. Nandini, Srimathkandala Ch V. S. Vyshnavi, et al.
Lecture notes in networks and systems (2024), pp. 503-516
Closed Access
An empirically grounded analytical approach to hog farm finishing stage management: Deep reinforcement learning as decision support and managerial learning tool
Panos Kouvelis, Ye Liu, Danko Turcic
Journal of Operations Management (2024)
Closed Access
Panos Kouvelis, Ye Liu, Danko Turcic
Journal of Operations Management (2024)
Closed Access
A dual-feature channel deep network with adaptive variable weight reconstruction for urban water demand prediction
Sibo Xia, Hongqiu Zhu, Ning Zhang, et al.
Sustainable Cities and Society (2024), pp. 106118-106118
Closed Access
Sibo Xia, Hongqiu Zhu, Ning Zhang, et al.
Sustainable Cities and Society (2024), pp. 106118-106118
Closed Access
An Empirically Grounding Analytics (EGA) Approach to Hog Farm Finishing Stage Management: Deep Reinforcement Learning as Decision Support and Managerial Learning Tool
Panos Kouvelis, Ye Liu, Danko Turcic
SSRN Electronic Journal (2023)
Closed Access
Panos Kouvelis, Ye Liu, Danko Turcic
SSRN Electronic Journal (2023)
Closed Access
