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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:

Evaluation of uncertain signals’ impact on deep reinforcement learning-based real-time control strategy of urban drainage systems
Mofan Zhang, Zhiwei Xu, Yiming Wang, et al.
Journal of Environmental Management (2022) Vol. 324, pp. 116448-116448
Closed Access | Times Cited: 14

Showing 14 citing articles:

Applications of machine learning to water resources management: A review of present status and future opportunities
Ashraf Ahmed, Sakina Sayed, Antoifi Abdoulhalik, et al.
Journal of Cleaner Production (2024) Vol. 441, pp. 140715-140715
Open Access | Times Cited: 63
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 | Times Cited: 2
Deep learning-assisted automated sewage pipe defect detection for urban water environment management
Lianpeng Sun, Jinjun Zhu, Jinxin Tan, et al.
The Science of The Total Environment (2023) Vol. 882, pp. 163562-163562
Closed Access | Times Cited: 23
Towards coordinated and robust real-time control: a decentralized approach for combined sewer overflow and urban flooding reduction based on multi-agent reinforcement learning
Zhiyu Zhang, Wenchong Tian, Zhenliang Liao
Water Research (2022) Vol. 229, pp. 119498-119498
Closed Access | Times Cited: 32
Real-time control of combined sewer systems: Risks associated with uncertainties
Job Augustijn van der Werf, Zoran Kapelan, Jeroen Langeveld
Journal of Hydrology (2022) Vol. 617, pp. 128900-128900
Open Access | Times Cited: 23
IOT based prediction of rainfall forecast in coastal regions using deep reinforcement model
J. Nithyashri, Ravi Kumar Poluru, Subramanian Balakrishnan, et al.
Measurement Sensors (2023) Vol. 29, pp. 100877-100877
Open Access | Times Cited: 12
Enhancing the resilience of urban drainage system using deep reinforcement learning
Wenchong Tian, Zhiyu Zhang, Kunlun Xin, et al.
Water Research (2025) Vol. 281, pp. 123681-123681
Closed Access
Robustness of neuro-evolution in urban drainage system control under communication failures: comparing centralized and decentralized control schemes
Shengwei Pei, Guangtao Fu, Lan Hoang, et al.
Water Research (2025) Vol. 282, pp. 123733-123733
Open Access
Leveraging LSTM-based neuro-evolution for enhanced real-time control in urban drainage systems
Shengwei Pei, Lan Hoang, David Butler, et al.
Water Research X (2025), pp. 100353-100353
Open Access
Artificial intelligence-incorporated prediction for urban flooding processes in the past 20 years: A critical review
Zhili Li, Zhiwei Zhou, Hao Wang, et al.
Environmental Modelling & Software (2025), pp. 106525-106525
Closed Access
Real-time control of urban drainage systems using neuro-evolution
Shengwei Pei, Lan Hoang, Guangtao Fu, et al.
Journal of Environmental Management (2024) Vol. 360, pp. 121133-121133
Closed Access | Times Cited: 3
A predictive fuzzy logic and rule-based control approach for practical real-time operation of urban stormwater storage system
Lanxin Sun, Jun Xia, Dunxian She, et al.
Water Research (2024) Vol. 266, pp. 122437-122437
Closed Access | Times Cited: 3
State Selection and Cost Estimation for Deep Reinforcement Learning-Based Real-Time Control of Urban Drainage System
Wenchong Tian, Kunlun Xin, Zhiyu Zhang, et al.
Water (2023) Vol. 15, Iss. 8, pp. 1528-1528
Open Access | Times Cited: 8
Aprendizaje por refuerzo como soporte a la predicción de la precipitación mensual. Caso de estudio: Departamento de Boyacá - Colombia
Jimmy Alejandro Zea Gutiérrez, Marco Javier Suárez Barón, Juan-Sebastián González-Sanabria
TecnoLógicas (2024) Vol. 27, Iss. 60, pp. e3017-e3017
Open Access
Compositional Control Synthesis for Water Management System
Esther H. Kim, Kim G. Larsen, Martijn A. Goorden, et al.
2022 European Control Conference (ECC) (2024), pp. 3130-3137
Closed Access
Multiple-objective control of stormwater basins using deep reinforcement learning
Zichun Song, Wenchong Tian, Wei He, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 11, pp. 2852-2866
Open Access
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