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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:

Automated machine learning-based models for predicting and evaluating antibiotic removal in constructed wetlands
Hongxu Bao, Wanxin Yin, Hongcheng Wang, et al.
Bioresource Technology (2023) Vol. 385, pp. 129436-129436
Closed Access | Times Cited: 17

Showing 17 citing articles:

Machine learning-driven optimization and application of bimetallic catalysts in peroxymonosulfate activation for degradation of fluoroquinolone antibiotics
Siyuan Jiang, Yuerong Zhou, Wen Xu, et al.
Chemical Engineering Journal (2024) Vol. 486, pp. 150297-150297
Closed Access | Times Cited: 5
Meta-analysis review for pilot and large-scale constructed wetlands: Design parameters, treatment performance, and influencing factors
Vinh Son Lam, Thi Cuc Phuong Tran, Thi-Dieu-Hien Vo, et al.
The Science of The Total Environment (2024) Vol. 927, pp. 172140-172140
Closed Access | Times Cited: 4
Optimizing compressive strength of quaternary-blended cement concrete through ensemble-instance-based machine learning
Ammar Babiker, Yassir M. Abbas, M. Iqbal Khan, et al.
Materials Today Communications (2024) Vol. 39, pp. 109150-109150
Closed Access | Times Cited: 4
Enhancing effluent quality prediction in wastewater treatment plants through the integration of factor analysis and machine learning
Jia-Qiang Lv, Lili Du, Hongyong Lin, et al.
Bioresource Technology (2023) Vol. 393, pp. 130008-130008
Closed Access | Times Cited: 13
Evaluation of pollutant removal efficiency of urban stormwater wet ponds and the application of machine learning algorithms
Yang Yang, David Z. Zhu, Mark Loewen, et al.
The Science of The Total Environment (2023) Vol. 905, pp. 167119-167119
Closed Access | Times Cited: 8
Impact analysis of hydraulic loading rate and antibiotics on hybrid constructed wetland systems: Insight into the response to decontamination performance and environmental-associated microbiota
Baoshan Shi, Xiangju Cheng, Dantong Zhu, et al.
Chemosphere (2023) Vol. 347, pp. 140678-140678
Closed Access | Times Cited: 8
Automated machine learning-aided prediction and interpretation of gaseous by-products from the hydrothermal liquefaction of biomass
Weijin Zhang, Zejian Ai, Qingyue Chen, et al.
The Science of The Total Environment (2024) Vol. 945, pp. 173939-173939
Closed Access | Times Cited: 1
Fate of Organic Micropollutants in Aquatic Environment: Policies and Regulatory Measures
Abdulhamid Yusuf, Fidelis Odedishemi Ajibade, Temitope Fausat Ajibade, et al.
(2024), pp. 331-357
Closed Access | Times Cited: 1
A Machine Learning Framework for Enhanced Assessment of Sewer System Operation under Data Constraints and Skewed Distributions
Wanxin Yin, Yuqi Wang, Jia-Qiang Lv, et al.
ACS ES&T Engineering (2024)
Closed 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
Interpretable causal machine learning optimization tool for improving efficiency of internal carbon source-biological denitrification
Shiqi Liu, Zeqing Long, Jinsong Liang, et al.
Bioresource Technology (2024) Vol. 416, pp. 131787-131787
Closed Access | Times Cited: 1
Long-term performance of a deep oxidation pond with horizontal subsurface flow constructed wetland for purification of rural polluted river water
Ying Liu, Yongtian Li, Wanxin Yin, et al.
Environmental Research (2023) Vol. 240, pp. 117498-117498
Closed Access | Times Cited: 2
Automated Machine Learning-Aided Prediction and Interpretation of Gaseous By-Products from the Hydrothermal Liquefaction of Biomass
Weijin Zhang, Zejian Ai, Qingyue Chen, et al.
(2024)
Closed Access
Integrating Automated Machine Learning and Metabolic Reprogramming for the Identification of Microplastic in Soil: A Case Study on Soybean
Zhimin Liu, Weijun Wang, Yibo Geng, et al.
(2024)
Closed Access
Innovations in Nutrient Removal and Resource Recovery Through Artificial Intelligence Techniques
Jyoti Chowdhry, Sheetal Kumari, Meenakshi Nandal
Springer water (2024), pp. 201-221
Closed Access
Performance prediction of sludge volume index of oxygenic photogranule based wastewater treatment system using machine learning algorithms
Sidra Yasin, Abeera Ayaz Ansari, Abdul Kashif Janjua, et al.
Journal of Water Process Engineering (2024) Vol. 66, pp. 106064-106064
Closed Access
Machine learning to guide the use of plasma technology for antibiotic degradation
Li Xue, Runyu Jing, Nanya Zhong, et al.
Journal of Hazardous Materials (2024) Vol. 480, pp. 135787-135787
Closed Access
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