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:

Transforming data into actionable knowledge for fault detection, diagnosis and prognosis in urban wastewater systems with AI techniques: A mini-review
Yiqi Liu, Pedram Ramin, Xavier Flores‐Alsina, et al.
Process Safety and Environmental Protection (2023) Vol. 172, pp. 501-512
Closed Access | Times Cited: 46

Showing 26-50 of 46 citing articles:

Mode Substitution and Constraint Implementation in Complex Dynamic Process Regulation: A Solution for Performance Self-Recovery
Peihao Du, Weimin Zhong, Xin Peng, et al.
IEEE Transactions on Automation Science and Engineering (2024) Vol. 22, pp. 2552-2564
Closed Access | Times Cited: 2

Cascading Time-Frequency Transformer and Spatio-Temporal Graph Attention Network for Rotating Machinery Fault Diagnosis
Yiqi Liu, Zhewen Yu, Min Xie
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 2

Hybrid data driven approach based on ANNs-PCA for wastewater treatment plant performance assessment
Redouane Elharbili, Tawfik El Moussaoui, Khalid El Ass, et al.
Cleaner Water (2024), pp. 100058-100058
Open Access | Times Cited: 2

Two-dimensional explainability method for fault diagnosis of fluid machine
Jiaquan Liu, Lei Hou, Sichen He, et al.
Process Safety and Environmental Protection (2023) Vol. 178, pp. 1148-1160
Closed Access | Times Cited: 6

Multi-step and multi-task learning to predict quality-related variables in wastewater treatment processes
Yiqi Liu, Jingyi Yuan, Baoping Cai, et al.
Process Safety and Environmental Protection (2023) Vol. 180, pp. 404-416
Closed Access | Times Cited: 6

A multi-step attack path prediction method for oil & gas intelligence pipeline cyber physics system based on CPNE
Shangrui Xiao, Jinqiu Hu, Laibin Zhang
Process Safety and Environmental Protection (2024) Vol. 185, pp. 1303-1318
Closed Access | Times Cited: 1

Opportunities in Neural Networks for Industry 4.0
Rodrigo de Paula Monteiro, José Paulo G. de Oliveira, Sérgio Campello Oliveira, et al.
(2024), pp. 257-269
Closed Access | Times Cited: 1

Fault-Tolerant Model Predictive Control Applied of a Sewer Network
Antonio Cembellín, M.J. Fuente, Pastora Vega, et al.
(2024)
Open Access | Times Cited: 1

Big Data Analytics for Advanced Fault Detection in Wastewater Treatment Plants
Morteza Zadkarami, Krist V. Gernaey, Ali Akbar Safavi, et al.
Computer-aided chemical engineering/Computer aided chemical engineering (2024), pp. 1831-1836
Closed Access | Times Cited: 1

Analyzing the impact of artificial intelligence on operational efficiency in wastewater treatment: a comprehensive neutrosophic AHP-based SWOT analysis
Selin Yalçın, Ertuğrul Ayyıldız
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 38, pp. 51000-51024
Closed Access | Times Cited: 1

Semi-supervised Convolutional Generative Adversarial Networks for Dynamic Fault Classification with Manifold Regularization
Junhua Zheng, Jian Wang, Lingjian Ye, et al.
Process Safety and Environmental Protection (2024)
Closed Access | Times Cited: 1

Artificial Intelligence-based Fault Detection and Diagnosis: Towards Application in a Chemical Process
Yiqi Liu, Zhi Li, Hongtian Chen
2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS) (2023), pp. 1-6
Closed Access | Times Cited: 2

AI-Enhanced Decision Support Systems for Optimizing Hazardous Waste Handling in Civil Engineering
Vidhya Lakshmi Sivakumar, Vickram A.S., Ragi Krishnan, et al.
International Journal of Civil Engineering (2023) Vol. 10, Iss. 11, pp. 1-8
Open Access | Times Cited: 2

Rationet Based End-to-End Ml Calibration of Ultrasonic Doppler Flowmeters in Sewage Monitoring
Zhenyu Zhang, Ying Liang, Xiaolin Guan, et al.
(2024)
Closed Access

Wastewater‐Derived Biomass for Energy
Surbhi Sharma, Ridhika Bangotra, Bisma Habib, et al.
(2024), pp. 195-224
Closed Access

Fault-Tolerant Model Predictive Control Applied to a Sewer Network
Antonio Cembellín, M.J. Fuente, Pastora Vega, et al.
Applied Sciences (2024) Vol. 14, Iss. 12, pp. 5359-5359
Open Access

A Process Monitoring Framework for Imbalanced Big Data: A Wastewater Treatment Plant Case Study
Morteza Zadkarami, Ali Akbar Safavi, Krist V. Gernaey, et al.
IEEE Access (2024) Vol. 12, pp. 132139-132158
Open Access

Explainable fault diagnosis method for process flow based on data augmentation with system graph relationship
Jiaquan Liu, Lei Hou, Xinru Zhang, et al.
Geoenergy Science and Engineering (2024) Vol. 243, pp. 213334-213334
Closed Access

Role of AI&ML in Modernizing Water and Wastewater Treatment Processes
Rajneesh Kumar, Manish Kumar Goyal
Water Air & Soil Pollution (2024) Vol. 236, Iss. 1
Closed Access

Description of Artificial Intelligence Models in Sustainable Water Resource Management
Luis Amador Guzman, Jaime Ortiz, José Miguel Liceaga Ortiz de la Peña
Advances in finance, accounting, and economics book series (2023), pp. 191-217
Closed Access

Monitoring Wastewater Treatment Processes Using a Maximum Likelihood-Based Narx Neural Network
Wentao Liu, Weili Xiong, Wenxin Sun, et al.
(2023)
Closed Access

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