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:

Current applications and future impact of machine learning in emerging contaminants: A review
Lang Lei, Ruirui Pang, Zhibang Han, et al.
Critical Reviews in Environmental Science and Technology (2023) Vol. 53, Iss. 20, pp. 1817-1835
Closed Access | Times Cited: 19

Showing 19 citing articles:

The “Microplastome” – A Holistic Perspective to Capture the Real-World Ecology of Microplastics
Changchao Li, Xinyu Li, Michael S. Bank, et al.
Environmental Science & Technology (2024)
Open Access | Times Cited: 43

Degradation of emerging contaminants in water by a novel non-thermal plasma/periodate advanced oxidation process: Performance and mechanisms
Chendong Puyang, Jiangang Han, He Guo
Chemical Engineering Journal (2024) Vol. 483, pp. 149194-149194
Closed Access | Times Cited: 19

Current Status of Emerging Contaminant Models and Their Applications Concerning the Aquatic Environment: A Review
Zhuang Liu, Yonghai Gan, Jun Luo, et al.
Water (2025) Vol. 17, Iss. 1, pp. 85-85
Open Access | Times Cited: 1

Machine Learning-Enhanced Electrochemical Sensors for Food Safety: Applications and Perspectives
Wajeeha Pervaiz, Muhammad Afzal, Niu Feng, et al.
Trends in Food Science & Technology (2025), pp. 104872-104872
Closed Access | Times Cited: 1

Using artificial intelligence to rapidly identify microplastics pollution and predict microplastics environmental behaviors
Binbin Hu, Yaodan Dai, Haidong Zhou, et al.
Journal of Hazardous Materials (2024) Vol. 474, pp. 134865-134865
Closed Access | Times Cited: 13

Triggering nanoconfinement effect in advanced oxidation processes (AOPs) for boosted degradation of organic contaminants: A review
Junsuo Li, Yongshuo Wang, Ziqian Wang, et al.
Chemical Engineering Journal (2024) Vol. 503, pp. 158428-158428
Closed Access | Times Cited: 5

Transforming PFAS management: A critical review of machine learning applications for enhanced monitoring and treatment
Md Hasan-Ur Rahman, Rabbi Sikder, Tanvir Ahamed Tonmoy, et al.
Journal of Water Process Engineering (2025) Vol. 70, pp. 106941-106941
Closed Access

Combining size distribution and shape of plastic and oxide particles to evaluate physicochemical interactions: Aggregation and attachment
Hyojeong Nam, Allan Gomez-Flores, Hyunjung Kim
Journal of Hazardous Materials (2025), pp. 137385-137385
Closed Access

Transformer Networks and Loss with Punishment for Optimized Management of Urban Water Supply System
Yuqi Wang, Hongcheng Wang, J. Chen, et al.
ACS ES&T Water (2025)
Closed Access

Common issues of data science on the eco-environmental risks of emerging contaminants
Xiangang Hu, Dong Xu, Zhangjia Wang
Environment International (2025) Vol. 196, pp. 109301-109301
Open Access

Protocols for Water and Environmental Modeling Using Machine Learning in California
Minxue He, Prabhjot Sandhu, Peyman Namadi, et al.
Hydrology (2025) Vol. 12, Iss. 3, pp. 59-59
Open Access

Photoaging enhanced heteroaggregation between nanoplastics and Al2O3 in aquatic environment: Experiments and DLVO theory calculation
Quanyun Ye, Junfei Li, Dong Zeng, et al.
Colloids and Surfaces A Physicochemical and Engineering Aspects (2025), pp. 136633-136633
Closed Access

Integrating Remote Sensing Methods for Monitoring Lake Water Quality: A Comprehensive Review
Anja Batina, Andrija Krtalić
Hydrology (2024) Vol. 11, Iss. 7, pp. 92-92
Open Access | Times Cited: 4

Design optimization of bimetal-modified biochar for enhanced phosphate removal performance in livestock wastewater using machine learning
Weilin Fu, Xia Yao, Lisheng Zhang, et al.
Bioresource Technology (2024), pp. 131898-131898
Closed Access | Times Cited: 2

The Synergy of Artificial Intelligence and Nanotechnology Towards Advancing Innovation and Sustainability- A Mini-Review
David B. Olawade, Abimbola O. Ige, Abimbola G. Olaremu, et al.
Nano Trends (2024), pp. 100052-100052
Open Access | Times Cited: 2

Interannual variation and machine learning simulation of organophosphate esters in Taihu Lake
Yuteng Zhang, Xinying Cheng, Xianxian Chen, et al.
Journal of Hazardous Materials (2023) Vol. 461, pp. 132654-132654
Closed Access | Times Cited: 6

Mechanisms, methods and applications of machine learning in bio-alcohol production and utilization: A review
Chen Wang, Xuemeng Zhang, Guohua Zhao, et al.
Chemosphere (2023) Vol. 342, pp. 140191-140191
Closed Access | Times Cited: 4

Deep learning algorithms in predicting Cr(VI) removal performance of S-ZVI: Models building and optimal parameters prediction
Xiao Wang, Yanshi Zhang, Bo He, et al.
Separation and Purification Technology (2023) Vol. 330, pp. 125487-125487
Closed Access | Times Cited: 4

Toxicological mechanisms and molecular impacts of tire particles and antibiotics on zebrafish
Jingya Wen, Jiaxuan Gao, Yajing Liu, et al.
Environmental Pollution (2024) Vol. 362, pp. 124912-124912
Closed Access | Times Cited: 1

Dialogue between algorithms and soil: Machine learning unravels the mystery of phthalates pollution in soil
Boyou Pan, Jialin Lei, Bogui Pan, et al.
Journal of Hazardous Materials (2024) Vol. 482, pp. 136604-136604
Closed Access | Times Cited: 1

Data-driven management strategies for carbon emissions and emerging contaminants control in wastewater treatment plants
Yunpeng Song, Yuqi Wang, Tiefu Xu, et al.
Elsevier eBooks (2024), pp. 537-549
Closed Access

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