
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 Dynamic Flow Forecast Model for Urban Drainage Using the Coupled Artificial Neural Network
Lin She, Xue‐yi You
Water Resources Management (2019) Vol. 33, Iss. 9, pp. 3143-3153
Closed Access | Times Cited: 17
Lin She, Xue‐yi You
Water Resources Management (2019) Vol. 33, Iss. 9, pp. 3143-3153
Closed Access | Times Cited: 17
Showing 17 citing articles:
Machine Learning‐Based Surrogate Modeling for Urban Water Networks: Review and Future Research Directions
Alexander Garzón, Zoran Kapelan, Jeroen Langeveld, et al.
Water Resources Research (2022) Vol. 58, Iss. 5
Open Access | Times Cited: 83
Alexander Garzón, Zoran Kapelan, Jeroen Langeveld, et al.
Water Resources Research (2022) Vol. 58, Iss. 5
Open Access | Times Cited: 83
Multi-objective layout optimization for sponge city by annealing algorithm and its environmental benefits analysis
Lin She, Ming Wei, Xue‐yi You
Sustainable Cities and Society (2021) Vol. 66, pp. 102706-102706
Closed Access | Times Cited: 71
Lin She, Ming Wei, Xue‐yi You
Sustainable Cities and Society (2021) Vol. 66, pp. 102706-102706
Closed Access | Times Cited: 71
Tool for fast assessment of stormwater flood volumes for urban catchment: A machine learning approach
Bartosz Szeląg, Dariusz Majerek, Anna Laura Eusebi, et al.
Journal of Environmental Management (2024) Vol. 355, pp. 120214-120214
Closed Access | Times Cited: 11
Bartosz Szeląg, Dariusz Majerek, Anna Laura Eusebi, et al.
Journal of Environmental Management (2024) Vol. 355, pp. 120214-120214
Closed Access | Times Cited: 11
A Rapid Prediction Model of Urban Flood Inundation in a High-Risk Area Coupling Machine Learning and Numerical Simulation Approaches
Xingyu Yan, Kui Xu, Wenqiang Feng, et al.
International Journal of Disaster Risk Science (2021) Vol. 12, Iss. 6, pp. 903-918
Open Access | Times Cited: 42
Xingyu Yan, Kui Xu, Wenqiang Feng, et al.
International Journal of Disaster Risk Science (2021) Vol. 12, Iss. 6, pp. 903-918
Open Access | Times Cited: 42
A Temporal Fusion Transformer Model to Forecast Overflow from Sewer Manholes during Pluvial Flash Flood Events
Benjamin Burrichter, Juliana Koltermann da Silva, André Niemann, et al.
Hydrology (2024) Vol. 11, Iss. 3, pp. 41-41
Open Access | Times Cited: 5
Benjamin Burrichter, Juliana Koltermann da Silva, André Niemann, et al.
Hydrology (2024) Vol. 11, Iss. 3, pp. 41-41
Open Access | Times Cited: 5
Soft sensing of water depth in combined sewers using LSTM neural networks with missing observations
Rocco Palmitessa, Peter Steen Mikkelsen, Morten Borup, et al.
Journal of Hydro-environment Research (2021) Vol. 38, pp. 106-116
Open Access | Times Cited: 35
Rocco Palmitessa, Peter Steen Mikkelsen, Morten Borup, et al.
Journal of Hydro-environment Research (2021) Vol. 38, pp. 106-116
Open Access | Times Cited: 35
Identification of Sensitive Parameters of Urban Flood Model Based on Artificial Neural Network
Zening Wu, Bingyan Ma, Huiliang Wang, et al.
Water Resources Management (2021) Vol. 35, Iss. 7, pp. 2115-2128
Closed Access | Times Cited: 33
Zening Wu, Bingyan Ma, Huiliang Wang, et al.
Water Resources Management (2021) Vol. 35, Iss. 7, pp. 2115-2128
Closed Access | Times Cited: 33
Daily Runoff Forecasting Using Ensemble Empirical Mode Decomposition and Long Short-Term Memory
Ruifang Yuan, Siyu Cai, Weihong Liao, et al.
Frontiers in Earth Science (2021) Vol. 9
Open Access | Times Cited: 32
Ruifang Yuan, Siyu Cai, Weihong Liao, et al.
Frontiers in Earth Science (2021) Vol. 9
Open Access | Times Cited: 32
Uncertainties in the application of artificial neural networks in ocean engineering
Nerea Portillo Juan, Clara Matutano, Vicente Negro Valdecantos
Ocean Engineering (2023) Vol. 284, pp. 115193-115193
Open Access | Times Cited: 15
Nerea Portillo Juan, Clara Matutano, Vicente Negro Valdecantos
Ocean Engineering (2023) Vol. 284, pp. 115193-115193
Open Access | Times Cited: 15
A Disaggregation‐Emulation Approach for Optimization of Large Urban Drainage Systems
Omid Seyedashraf, Andrea Bottacin‐Busolin, Julien Harou
Water Resources Research (2021) Vol. 57, Iss. 8
Open Access | Times Cited: 27
Omid Seyedashraf, Andrea Bottacin‐Busolin, Julien Harou
Water Resources Research (2021) Vol. 57, Iss. 8
Open Access | Times Cited: 27
Machine learning-based surrogate modelling for Urban Water Networks: Review and future research directions
Alexander Garzón, Zoran Kapelan, Jeroen Langeveld, et al.
(2022)
Open Access | Times Cited: 18
Alexander Garzón, Zoran Kapelan, Jeroen Langeveld, et al.
(2022)
Open Access | Times Cited: 18
A Committee Evolutionary Neural Network for the Prediction of Combined Sewer Overflows
Talia Rosin, Michele Romano, Edward Keedwell, et al.
Water Resources Management (2021) Vol. 35, Iss. 4, pp. 1273-1289
Open Access | Times Cited: 18
Talia Rosin, Michele Romano, Edward Keedwell, et al.
Water Resources Management (2021) Vol. 35, Iss. 4, pp. 1273-1289
Open Access | Times Cited: 18
Predicting the Urban Stormwater Drainage System State using the Graph-WaveNet
Mengru Li, Xiaoming Shi, Zhongming Lu, et al.
Sustainable Cities and Society (2024), pp. 105877-105877
Closed Access | Times Cited: 2
Mengru Li, Xiaoming Shi, Zhongming Lu, et al.
Sustainable Cities and Society (2024), pp. 105877-105877
Closed Access | Times Cited: 2
Establishment of urban waterlogging pre-warning system based on coupling RBF-NARX neural networks
Ming Wei, Lin She, Xue‐yi You
Water Science & Technology (2020) Vol. 82, Iss. 9, pp. 1921-1931
Open Access | Times Cited: 18
Ming Wei, Lin She, Xue‐yi You
Water Science & Technology (2020) Vol. 82, Iss. 9, pp. 1921-1931
Open Access | Times Cited: 18
Prediction of urban water accumulation points and water accumulation process based on machine learning
Hongfa Wang, Yajuan Zhao, Yihong Zhou, et al.
Earth Science Informatics (2021) Vol. 14, Iss. 4, pp. 2317-2328
Closed Access | Times Cited: 14
Hongfa Wang, Yajuan Zhao, Yihong Zhou, et al.
Earth Science Informatics (2021) Vol. 14, Iss. 4, pp. 2317-2328
Closed Access | Times Cited: 14
Coupling Time and Non-Time Series Models to Simulate the Flood Depth at Urban Flooded Area
Hongfa Wang, Xinjian Guan, Yu Meng, et al.
Water Resources Management (2023) Vol. 37, Iss. 3, pp. 1275-1295
Closed Access | Times Cited: 5
Hongfa Wang, Xinjian Guan, Yu Meng, et al.
Water Resources Management (2023) Vol. 37, Iss. 3, pp. 1275-1295
Closed Access | Times Cited: 5
Study on simulating the filling and emptying process of ship lock based on Storm Water Management Model
Jiayi Zhang, Zhenghua Gu, Minxiong Cao
JAWRA Journal of the American Water Resources Association (2024)
Closed Access
Jiayi Zhang, Zhenghua Gu, Minxiong Cao
JAWRA Journal of the American Water Resources Association (2024)
Closed Access