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:
Design of a Soft Sensor Based on Long Short-Term Memory Artificial Neural Network (LSTM) for Wastewater Treatment Plants
Roxana Recio-Colmenares, Elizabeth León‐Becerril, Kelly Joel Gurubel Tun, et al.
Sensors (2023) Vol. 23, Iss. 22, pp. 9236-9236
Open Access | Times Cited: 6
Roxana Recio-Colmenares, Elizabeth León‐Becerril, Kelly Joel Gurubel Tun, et al.
Sensors (2023) Vol. 23, Iss. 22, pp. 9236-9236
Open Access | Times Cited: 6
Showing 6 citing articles:
Hybrid model composed of machine learning and ASM3 predicts performance of industrial wastewater treatment
Boyan Xu, Ching Kwek Pooi, Tsuey Shan Yeap, et al.
Journal of Water Process Engineering (2024) Vol. 65, pp. 105888-105888
Closed Access | Times Cited: 4
Boyan Xu, Ching Kwek Pooi, Tsuey Shan Yeap, et al.
Journal of Water Process Engineering (2024) Vol. 65, pp. 105888-105888
Closed Access | Times Cited: 4
A Soft Sensor for Flow Estimation and Uncertainty Analysis Based on Artificial Intelligence: A Case Study of Water Supply Systems
Gabryel M. Raposo de Alencar, Fernanda Maria Lima Fernandes, Rafael Moura Duarte, et al.
Automation (2024) Vol. 5, Iss. 2, pp. 106-127
Open Access | Times Cited: 3
Gabryel M. Raposo de Alencar, Fernanda Maria Lima Fernandes, Rafael Moura Duarte, et al.
Automation (2024) Vol. 5, Iss. 2, pp. 106-127
Open Access | Times Cited: 3
Machine Learning Methods for the Prediction of Wastewater Treatment Efficiency and Anomaly Classification with Lack of Historical Data
Igor Gulshin, Olga Kuzina
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10689-10689
Open Access | Times Cited: 1
Igor Gulshin, Olga Kuzina
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10689-10689
Open Access | Times Cited: 1
A Multivariable Probability Density-Based Auto-Reconstruction Bi-LSTM Soft Sensor for Predicting Effluent BOD in Wastewater Treatment Plants
Wenting Li, Yonggang Li, Dong Li, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7508-7508
Open Access | Times Cited: 1
Wenting Li, Yonggang Li, Dong Li, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7508-7508
Open Access | Times Cited: 1
Optimization of Wastewater Treatment Through Machine Learning-Enhanced Supervisory Control and Data Acquisition: A Case Study of Granular Sludge Process Stability and Predictive Control
Igor Gulshin, Olga Kuzina
Automation (2024) Vol. 6, Iss. 1, pp. 2-2
Open Access | Times Cited: 1
Igor Gulshin, Olga Kuzina
Automation (2024) Vol. 6, Iss. 1, pp. 2-2
Open Access | Times Cited: 1
Analytical Challenges in the Water Reuse Scenario
Jenny Flores Garcia, Davide Palma, Iván Sciscenko, et al.
Lecture notes in chemistry (2024), pp. 367-391
Closed Access
Jenny Flores Garcia, Davide Palma, Iván Sciscenko, et al.
Lecture notes in chemistry (2024), pp. 367-391
Closed Access
