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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:

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

Showing 1-25 of 35 citing articles:

The role of deep learning in urban water management: A critical review
Guangtao Fu, Yiwen Jin, Siao Sun, et al.
Water Research (2022) Vol. 223, pp. 118973-118973
Open Access | Times Cited: 202
Application of artificial intelligence in digital twin models for stormwater infrastructure systems in smart cities
Abbas Sharifi, Ali Tarlani Beris, Amir Sharifzadeh Javidi, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102485-102485
Closed Access | Times Cited: 22
Pipedream: An interactive digital twin model for natural and urban drainage systems
Matthew Bartos, Branko Kerkez
Environmental Modelling & Software (2021) Vol. 144, pp. 105120-105120
Open Access | Times Cited: 80
Optimization of LSTM Parameters for Flash Flood Forecasting Using Genetic Algorithm
You-Da Jhong, Chang‐Shian Chen, Bing-Chen Jhong, et al.
Water Resources Management (2024) Vol. 38, Iss. 3, pp. 1141-1164
Closed Access | Times Cited: 14
Enhancing Flooding Depth Forecasting Accuracy in an Urban Area Using a Novel Trend Forecasting Method
Song-Yue Yang, You-Da Jhong, Bing-Chen Jhong, et al.
Water Resources Management (2024) Vol. 38, Iss. 4, pp. 1359-1380
Closed Access | Times Cited: 10
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: 27
Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing
Yan‐Lin He, Xingyuan Li, Jiahui Ma, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105737-105737
Closed Access | Times Cited: 26
A state-of-the-art review for the prediction of overflow in urban sewer systems
Shihui Ma, Tarek Zayed, Jiduo Xing, et al.
Journal of Cleaner Production (2023) Vol. 434, pp. 139923-139923
Closed Access | Times Cited: 15
Combined Anomaly Detection Framework for Digital Twins of Water Treatment Facilities
Yuying Wei, Adrian Wing‐Keung Law, Chun Yang, et al.
Water (2022) Vol. 14, Iss. 7, pp. 1001-1001
Open Access | Times Cited: 13
All models are wrong, but are they useful? Assessing reliability across multiple sites to build trust in urban drainage modelling
Agnethe Nedergaard Pedersen, Annette Brink-Kjær, Peter Steen Mikkelsen
Hydrology and earth system sciences (2022) Vol. 26, Iss. 22, pp. 5879-5898
Open Access | Times Cited: 13
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
The Bellinge data set: open data and models for community-wide urban drainage systems research
Agnethe Nedergaard Pedersen, Jonas Wied Pedersen, Antonio Vigueras‐Rodríguez, et al.
Earth system science data (2021) Vol. 13, Iss. 10, pp. 4779-4798
Open Access | Times Cited: 16
Water depth prediction in combined sewer networks, application of generative adversarial networks
Alireza Koochali, Amin E. Bakhshipour, Mahta Bakhshizadeh, et al.
Deleted Journal (2024) Vol. 6, Iss. 3
Open Access | Times Cited: 1
Advancing Civil Engineering with AI and Machine Learning: From Structural Health to Sustainable Development
Dimitrios Sargiotis
(2024)
Closed Access | Times Cited: 1
A hybrid surrogate model for real-time coastal urban flood prediction: An application to Macao
L. Xu, Liang Gao
Journal of Hydrology (2024) Vol. 642, pp. 131863-131863
Closed Access | Times Cited: 1
Using multi-event hydrologic and hydraulic signatures from water level sensors to diagnose locations of uncertainty in integrated urban drainage models used in living digital twins
Agnethe Nedergaard Pedersen, Jonas Wied Pedersen, Morten Borup, et al.
Water Science & Technology (2022) Vol. 85, Iss. 6, pp. 1981-1998
Open Access | Times Cited: 7
Combined Physical Process and Deep Learning for Daily Water Level Simulations across Multiple Sites in the Three Gorges Reservoir, China
Mingjiang Xie, Kun Shan, Sidong Zeng, et al.
Water (2023) Vol. 15, Iss. 18, pp. 3191-3191
Open Access | Times Cited: 3
Proactive exfiltration severity management in sewer networks: A hyperparameter optimization for two-tiered machine learning prediction
Shihui Ma, Nehal Elshaboury, Eslam Ali, et al.
Tunnelling and Underground Space Technology (2023) Vol. 144, pp. 105532-105532
Closed Access | Times Cited: 3
Improved accuracy of optical distance sensor based on artificial neural network applied to real-time systems
Ngoc Thang Bui, Thi My Tien Nguyen, Bang Le-Huy Nguyen, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 7, pp. 075001-075001
Closed Access | Times Cited: 5
Dynamic-static collaborative strategy for industrial data modeling based on hierarchical deep networks
Xiangyu Peng, Yalin Wang, Chenliang Liu, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 12, pp. 125010-125010
Closed Access | Times Cited: 4
The Bellinge data set: open data and models for community-wide urban drainage systems research
Agnethe Nedergaard Pedersen, Jonas Wied Pedersen, Antonio Vigueras‐Rodríguez, et al.
(2021)
Open Access | Times Cited: 4
Probabilistic digital twin of water treatment facilities
Yuying Wei
(2024)
Open Access
Long Short-Term Memory-Based Prediction Solution Inside a Decentralized Proactive Historian for Water Industry 4.0
Adrian Korodi, Andrei Nicolae, Dragoş Brisc, et al.
IEEE Access (2024) Vol. 12, pp. 99526-99536
Open Access
Many-to-many: Domain adaptation for water quality prediction
Si Wang, Min Gao, Huan Wu, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112381-112381
Closed Access
Application of Big Data Analysis and Mathematical Models in Civil and Structural Engineering
Haimei Wei
(2024), pp. 1252-1257
Closed Access
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