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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 1-25 of 50 citing articles:

Perspectives on the integration between first-principles and data-driven modeling
William A. Bradley, Jinhyeun Kim, Zachary Kilwein, et al.
Computers & Chemical Engineering (2022) Vol. 166, pp. 107898-107898
Open Access | Times Cited: 97
The transition of WRRF models to digital twin applications
Elena Torfs, Niels Nicolaï, Saba Daneshgar, et al.
Water Science & Technology (2024)
Open Access | Times Cited: 31
Hybrid modelling of water resource recovery facilities: status and opportunities
Mariane Yvonne Schneider, Ward Quaghebeur, Sina Borzooei, et al.
Water Science & Technology (2022)
Open Access | Times Cited: 43
An evolutionary deep learning soft sensor model based on random forest feature selection technique for penicillin fermentation process
Lei Hua, Chu Zhang, Wei Sun, et al.
ISA Transactions (2022) Vol. 136, pp. 139-151
Closed Access | Times Cited: 39
Physics-informed recurrent neural networks and hyper-parameter optimization for dynamic process systems
Tuse Asrav, Erdal Aydın
Computers & Chemical Engineering (2023) Vol. 173, pp. 108195-108195
Closed Access | Times Cited: 32
A Review of Computational Modeling in Wastewater Treatment Processes
M. Salomé Duarte, Gilberto Martins, Pedro Oliveira, et al.
ACS ES&T Water (2023) Vol. 4, Iss. 3, pp. 784-804
Open Access | Times Cited: 32
A full‐scale operational digital twin for a water resource recovery facility—A case study of Eindhoven Water Resource Recovery Facility
Saba Daneshgar, Fabio Polesel, Sina Borzooei, et al.
Water Environment Research (2024) Vol. 96, Iss. 3
Closed Access | Times Cited: 7
Uncovering unknown dynamics in water resource recovery facilities with neural differential equations and Shapley value analysis
Ward Quaghebeur, Elena Torfs, Mostafa Khalil, et al.
Journal of Water Process Engineering (2025) Vol. 70, pp. 106856-106856
Closed Access
Applying Machine Learning Approach to Design Operational Control Strategies for a Wastewater Treatment Plant in Typical Scenarios
Han Li, Chao Liu, Xiao Guo, et al.
Water (2025) Vol. 17, Iss. 3, pp. 310-310
Open Access
Prediction of influent wastewater quality based on wavelet transform and residual LSTM
Wen Zhang, Jiangpeng Zhao, Pei Quan, et al.
Applied Soft Computing (2023) Vol. 148, pp. 110858-110858
Closed Access | Times Cited: 18
A review and perspective on hybrid modeling methodologies
Artur M. Schweidtmann, Dongda Zhang, Moritz von Stosch
Digital Chemical Engineering (2023) Vol. 10, pp. 100136-100136
Open Access | Times Cited: 15
Unit Operation and Process Modeling with Physics-Informed Machine Learning
Haochen Li, David Spelman, John J. Sansalone
Journal of Environmental Engineering (2024) Vol. 150, Iss. 4
Open Access | Times Cited: 5
Enhanced Insights into Effluent Prediction in Wastewater Treatment Plants: Comprehensive Deep Learning Model Explanation Based on SHAP
Ruojia Li, Kuanliang Feng, Tong An, et al.
ACS ES&T Water (2024) Vol. 4, Iss. 4, pp. 1904-1915
Closed Access | Times Cited: 5
Towards good modelling practice for parallel hybrid models for wastewater treatment processes
L.‐M. Verhaeghe, Jan Verwaeren, Gamze Kirim, et al.
Water Science & Technology (2024) Vol. 89, Iss. 11, pp. 2971-2990
Open Access | Times Cited: 5
Making waves: Knowledge and data fusion in urban water modelling
Haoran Duan, Jiuling Li, Zhiguo Yuan
Water Research X (2024) Vol. 24, pp. 100234-100234
Closed Access | Times Cited: 5
Machine learning applications in river research: Trends, opportunities and challenges
Long Ho, Peter Goethals
Methods in Ecology and Evolution (2022) Vol. 13, Iss. 11, pp. 2603-2621
Open Access | Times Cited: 24
Physics-informed neural network-based serial hybrid model capturing the hidden kinetics for sulfur-driven autotrophic denitrification process
Xu Zou, Hongxiao Guo, Chu-Kuan Jiang, et al.
Water Research (2023) Vol. 243, pp. 120331-120331
Closed Access | Times Cited: 13
A Critical Review of Data Science Applications in Resource Recovery and Carbon Capture from Organic Waste
Mohammed Tamim Zaki, Lewis S. Rowles, Donald Adjeroh, et al.
ACS ES&T Engineering (2023) Vol. 3, Iss. 10, pp. 1424-1467
Open Access | Times Cited: 12
Operator learning for urban water clarification hydrodynamics and particulate matter transport with physics-informed neural networks
Haochen Li, Mohamed Shatarah
Water Research (2024) Vol. 251, pp. 121123-121123
Closed Access | Times Cited: 3
Hybrid modelling of nitrogen removal by biofiltration using high-frequent operational data
M. G. Serrão, Vincent Jauzein, Ilan Juran, et al.
Water Science & Technology (2024) Vol. 90, Iss. 5, pp. 1416-1432
Open Access | Times Cited: 3
QSDsan: an integrated platform for quantitative sustainable design of sanitation and resource recovery systems
Yalin Li, Xinyi Zhang, Victoria Morgan, et al.
Environmental Science Water Research & Technology (2022) Vol. 8, Iss. 10, pp. 2289-2303
Open Access | Times Cited: 16
Open problems in mathematical biology
Sean T. Vittadello, Michael P. H. Stumpf
Mathematical Biosciences (2022) Vol. 354, pp. 108926-108926
Open Access | Times Cited: 15
A hybrid modelling approach for reverse osmosis processes including fouling
Dorien Gaublomme, Ward Quaghebeur, Anse Van Droogenbroeck, et al.
Desalination (2023) Vol. 564, pp. 116756-116756
Open Access | Times Cited: 9
Multi-step ahead probabilistic forecasting of multiple hydrological variables for multiple stations
Zhendong Zhang, Haihua Tang, Hui Qin, et al.
Journal of Hydrology (2023) Vol. 617, pp. 129094-129094
Closed Access | Times Cited: 8
Direct and indirect monitoring methods for nitrous oxide emissions in full-scale wastewater treatment plants: A critical review
Zhenxin Shang, Chen Cai, Yanli Guo, et al.
Journal of Environmental Management (2024) Vol. 358, pp. 120842-120842
Closed Access | Times Cited: 2
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