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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:

Hybrid differential equations: Integrating mechanistic and data-driven techniques for modelling of water systems
Ward Quaghebeur, Elena Torfs, Bernard De Baets, et al.
Water Research (2022) Vol. 213, pp. 118166-118166
Closed Access | Times Cited: 50

Showing 26-50 of 50 citing articles:

Circular economy approaches for water reuse and emerging contaminant mitigation: innovations in water treatment
Saumya Das, Chandra Kant Singh, Kushneet Kaur Sodhi, et al.
Environment Development and Sustainability (2023)
Closed Access | Times Cited: 6
Models and data used to predict the abundance and distribution of Ixodes scapularis (blacklegged tick) in North America: a scoping review
Yogita Sharma, Elda Kokoè Elolo Laison, Tanya Philippsen, et al.
The Lancet Regional Health - Americas (2024) Vol. 32, pp. 100706-100706
Open Access | Times Cited: 1
A hybrid model for packed bed thermal energy storage system
S. Padmanabhan, Mohamed Tahar Mabrouk, Bruno Lacarrière
Journal of Energy Storage (2024) Vol. 98, pp. 113068-113068
Open Access | Times Cited: 1
Microbial-Guided prediction of methane and sulfide production in Sewers: Integrating mechanistic models with Machine learning
Wanxin Yin, Jia-Qiang Lv, Shuai Liu, et al.
Bioresource Technology (2024) Vol. 415, pp. 131640-131640
Closed Access | Times Cited: 1
Novel Intelligent Control Framework for WWTP Optimization To Achieve Stable and Sustainable Operation
Kuanliang Feng, Zihao Zhao, Mengyan Li, et al.
ACS ES&T Engineering (2022) Vol. 2, Iss. 11, pp. 2086-2094
Closed Access | Times Cited: 8
Knowledge-Enhanced Data-Driven Modeling of Wastewater Treatment Processes for Energy Consumption Forecasting
Louis Allen, Joan Cordiner
(2024)
Closed Access
Supporting data–enhanced hybrid ordinary differential equation model for phosphate dynamics in municipal wastewater treatment
Guang-yao Zhao, Hiroaki Furumai, Masafumi Fujita
Bioresource Technology (2024) Vol. 409, pp. 131217-131217
Closed Access
Metaheuristic assisted neural differential equation modeling in activated sludge process
Akhil T. Nair, M. Arivazhagan
Brazilian Journal of Chemical Engineering (2024)
Closed Access
Interpretable Scientific Machine Learning Approach for Correcting Phenomenological Models: Methodology Validation on an ESP Prototype
Carine M. Rebello, Erbet A. Costa, Márcio Fontana, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 44, pp. 19030-19050
Open Access
A novel hybrid variable cross layer-based machine learning model improves the accuracy and interpretation of energy intensity prediction of wastewater treatment plant
Yucheng Li, Chen Cai, Erwu Liu, et al.
Journal of Environmental Management (2024) Vol. 371, pp. 123209-123209
Closed Access
Improving Prediction of Nutrient Recovery via Struvite Precipitation from Organic Waste Digestate
Haidar Aldaach, Mohammed Tamim Zaki, Kevin D. Orner
Environmental Engineering Science (2024)
Closed Access
Knowledge-enhanced data-driven modeling of wastewater treatment processes for energy consumption prediction
Louis Allen, Joan Cordiner
Computers & Chemical Engineering (2024), pp. 108982-108982
Open Access
Separation of monovalent salts by reverse osmosis modules: A 2D mass transport model based on solution friction theory
E.M. Kimani, A.J.B. Kemperman, S. Porada, et al.
Desalination (2024), pp. 118429-118429
Open Access
Training stiff neural ordinary differential equations in data-driven wastewater process modelling
Xiangjun Huang, Kyriakos Kandris, Evina Katsou
Journal of Environmental Management (2024) Vol. 373, pp. 123870-123870
Open Access
Uncovering Unknown Dynamics in Water Resource Recovery Facilities with Neural Differential Equations and Shapley Value Analysis
Ward Quaghebeur, Elena Torfs, Ingmar Nopens, et al.
(2024)
Closed Access
Latent State Space Extension for interpretable hybrid mechanistic models
Judit Aizpuru, M. Borisyak, Peter Neubauer, et al.
Computer-aided chemical engineering/Computer aided chemical engineering (2024), pp. 919-924
Open Access
Comparison of machine learning based hybrid modelling methodologies for dynamic simulation of chemical reaction networks
Harry Kay, Fernando Vega‐Ramon, Dongda Zhang
Computer-aided chemical engineering/Computer aided chemical engineering (2024), pp. 133-138
Closed Access
Optimizing alkalinity control in Recirculating Aquaculture Systems (RAS): a dynamic modelling approach
Marie Aline Montjouridès, Susanna Röblitz, Håkon Dahle
Aquacultural Engineering (2024), pp. 102492-102492
Open Access
Augmented Machine Learning for Sewage Quality Assessment with Limited Data
Jia-Qiang Lv, Wanxin Yin, Jiamin Xu, et al.
Environmental Science and Ecotechnology (2024) Vol. 23, pp. 100512-100512
Open Access
Navigating industry 4.0 and 5.0: the role of hybrid modelling in (bio)chemical engineering’s digital transition
Carina L. Gargalo, Alina Anamaria Malanca, Adem R.N. Aouichaoui, et al.
Frontiers in Chemical Engineering (2024) Vol. 6
Open Access
Hybrid Neural Differential Equations to Model Unknown Mechanisms and States in Biology
Benjamin Whipple, Esteban A. Hernández-Vargas
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
Design of data-driven model for the pressurizer system in nuclear power plants using a TSK fuzzy neural network
Tarek A. Mahmoud, Amal A. Sheta, Refaat M. Fikry, et al.
Nuclear Engineering and Design (2022) Vol. 399, pp. 112015-112015
Closed Access | Times Cited: 3
Hybridizing grid partitioning, rough set theory, and feature selection for fuzzy rule generation in dataset classification
O Hall Lawrence
International Journal of Enterprise Modelling (2023) Vol. 17, Iss. 2, pp. 26-34
Open Access
Physics-informed Neural Network based Modeling of an Industrial Wastewater Treatment Unit
Tuse Asrav, Ece Serenat Koksal, Elif Ecem Esenboga, et al.
Computer-aided chemical engineering/Computer aided chemical engineering (2023), pp. 227-234
Closed Access
On machine learning and visual analysis for quality prediction of film metallization process
Thiago M. Bastos, Luiz Stragevitch, Cleber Zanchettin
The International Journal of Advanced Manufacturing Technology (2022) Vol. 124, Iss. 1-2, pp. 315-327
Closed Access
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