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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:

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

Showing 18 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
Impact of sewer overflow on public health: A comprehensive scientometric analysis and systematic review
Adebayo Olatunbosun Sojobi, Tarek Zayed
Environmental Research (2021) Vol. 203, pp. 111609-111609
Open Access | Times Cited: 98
Evaluation of the critical factors causing sewer overflows through modeling of structural equations and system dynamics
Saeed Reza Mohandes, Ahmed Farouk Kineber, Sherif Abdelkhalek, et al.
Journal of Cleaner Production (2022) Vol. 375, pp. 134035-134035
Closed Access | Times Cited: 41
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
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
LSTM with spatiotemporal attention for IoT-based wireless sensor collected hydrological time-series forecasting
Jianying Huang, Jinhui Li, Jeill Oh, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 14, Iss. 10, pp. 3337-3352
Closed Access | Times Cited: 8
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
Near real-time detection of blockages in the proximity of combined sewer overflows using evolutionary ANNs and statistical process control
Talia Rosin, Zoran Kapelan, Edward Keedwell, et al.
Journal of Hydroinformatics (2022) Vol. 24, Iss. 2, pp. 259-273
Open Access | Times Cited: 12
Cloud-Based Artificial Intelligence Analytics to Assess Combined Sewer Overflow Performance
W. Shepherd, S. R. Mounce, Gavin Sailor, et al.
Journal of Water Resources Planning and Management (2023) Vol. 149, Iss. 10
Open Access | Times Cited: 5
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
Enhancing Water treatment predictions: a Machine Learning Approach with CNN and Water Wave optimization
Sajeda Alkhadrawi, Kamel K. Al‐Zboon
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 6, pp. 4683-4696
Closed Access | Times Cited: 1
Comparative study of deterministic and probabilistic assessments of microbial risk associated with combined sewer overflows upstream of drinking water intakes
Raja Kammoun, Natasha McQuaid, Vincent Lessard, et al.
Environmental Challenges (2023) Vol. 12, pp. 100735-100735
Open Access | Times Cited: 4
A Low-Return-Period Rainfall Intensity Formula for Estimating the Design Return Period of the Combined Interceptor Sewers
Xingpo Liu, Chenmeng Ouyang, Yuwen Zhou
Water Resources Management (2022) Vol. 37, Iss. 1, pp. 289-304
Closed Access | Times Cited: 6
Forecasting and optimization for minimizing combined sewer overflows using Machine learning frameworks and its inversion techniques
Zeda Yin, Yasaman Saadati, Arturo S. León, et al.
Journal of Hydrology (2023) Vol. 628, pp. 130515-130515
Closed 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
Application of a hybrid fuzzy-based algorithm to investigate the environmental impact of sewer overflow
Saeed Reza Mohandes, Khalid Kaddoura, Atul Kumar Singh, et al.
Smart and Sustainable Built Environment (2024)
Closed Access
Development and performance of a machine learning‐based tool that predicts influent flow to a WRF 72 h in advance and integrates with existing wet weather nutrient management protocols
Katya Bilyk, Javad Roostaei, Erika Bailey
Water Environment Research (2023) Vol. 95, Iss. 6
Closed Access | Times Cited: 1
Analysis of Training Function for NNARX in Solar Radiation Prediction Modeling
Mohd Rizman Sultan Mohd, Juliana Johari, Fazlina Ahmat Ruslan, et al.
Lecture notes in electrical engineering (2022), pp. 619-632
Closed Access | Times Cited: 1
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