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:
An evolutionary robust soft measurement technique via enhanced atom search optimization and outlier robust extreme learning machine for wastewater treatment process
Jinlin Xiong, Zihan Tao, Lei Hua, et al.
Journal of Water Process Engineering (2023) Vol. 55, pp. 104102-104102
Closed Access | Times Cited: 7
Jinlin Xiong, Zihan Tao, Lei Hua, et al.
Journal of Water Process Engineering (2023) Vol. 55, pp. 104102-104102
Closed Access | Times Cited: 7
Showing 7 citing articles:
Synergistic optimization of predictive models for water quality analysis in treatment plants using machine learning and evolutionary algorithms
Ahmed Ghareeb, Orhan Nooruldeen, Chelang A. Arslan, et al.
Evolutionary Intelligence (2025) Vol. 18, Iss. 2
Closed Access
Ahmed Ghareeb, Orhan Nooruldeen, Chelang A. Arslan, et al.
Evolutionary Intelligence (2025) Vol. 18, Iss. 2
Closed Access
Atom Search Optimization: a comprehensive review of its variants, applications, and future directions
M.A. El‐Shorbagy, Anas Bouaouda, Laith Abualigah, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2722-e2722
Open Access
M.A. El‐Shorbagy, Anas Bouaouda, Laith Abualigah, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2722-e2722
Open Access
An attempt to augment performance of machine learning models in a pilot-scale urban wastewater treatment system
Yinan Bu, Conghe Liu, Zhonglin Pan, et al.
Journal of Water Process Engineering (2024) Vol. 63, pp. 105410-105410
Closed Access | Times Cited: 3
Yinan Bu, Conghe Liu, Zhonglin Pan, et al.
Journal of Water Process Engineering (2024) Vol. 63, pp. 105410-105410
Closed Access | Times Cited: 3
An aeration requirements calculating method based on BOD5 soft measurement model using deep learning and improved coati optimization algorithm
Wangben Zhao, Yuling Liu, Xing De Zhou, et al.
Journal of Water Process Engineering (2024) Vol. 64, pp. 105693-105693
Closed Access | Times Cited: 3
Wangben Zhao, Yuling Liu, Xing De Zhou, et al.
Journal of Water Process Engineering (2024) Vol. 64, pp. 105693-105693
Closed Access | Times Cited: 3
Targeting wastewater quality variables prediction: Improving sparrow search algorithm towards optimizing echo state network
Yiqi Liu, Yue Sun, Gang Fang, et al.
Journal of Water Process Engineering (2024) Vol. 65, pp. 105717-105717
Closed Access | Times Cited: 3
Yiqi Liu, Yue Sun, Gang Fang, et al.
Journal of Water Process Engineering (2024) Vol. 65, pp. 105717-105717
Closed Access | Times Cited: 3
Deployment of interpretable machine learning in a water treatment device - feasibility exploration of performance enhancement
Bowen Li, Ruiyao Ma, Jianwei Jiang, et al.
Journal of Water Process Engineering (2024) Vol. 58, pp. 104781-104781
Closed Access | Times Cited: 2
Bowen Li, Ruiyao Ma, Jianwei Jiang, et al.
Journal of Water Process Engineering (2024) Vol. 58, pp. 104781-104781
Closed Access | Times Cited: 2
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
