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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.

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Showing 1-25 of 39 citing articles:

Environmental DNA and environmental RNA: Current and prospective applications for biological monitoring
Heather D. Veilleux, Melissa D. Misutka, Chris N. Glover
The Science of The Total Environment (2021) Vol. 782, pp. 146891-146891
Closed Access | Times Cited: 93
Generative adversarial networks for detecting contamination events in water distribution systems using multi-parameter, multi-site water quality monitoring
Zilin Li, Haixing Liu, Chi Zhang, et al.
Environmental Science and Ecotechnology (2022) Vol. 14, pp. 100231-100231
Open Access | Times Cited: 49
Machine Learning-Based Early Warning of Algal Blooms: A Case Study of Key Environmental Factors in the Anzhaoxin River Basin
Yuyin Ao, Juntao Fan, Fen Guo, et al.
Water (2025) Vol. 17, Iss. 5, pp. 725-725
Open Access | Times Cited: 1
Environmental DNA gives comparable results to morphology-based indices of macroinvertebrates in a large-scale ecological assessment
Jeanine Brantschen, Rosetta C. Blackman, Jean‐Claude Walser, et al.
PLoS ONE (2021) Vol. 16, Iss. 9, pp. e0257510-e0257510
Open Access | Times Cited: 42
Developing stacking ensemble models for multivariate contamination detection in water distribution systems
Zilin Li, Chi Zhang, Haixing Liu, et al.
The Science of The Total Environment (2022) Vol. 828, pp. 154284-154284
Closed Access | Times Cited: 35
A catchment-scale model of river water quality by Machine Learning
Maria Grazia Zanoni, Bruno Majone, Alberto Bellin
The Science of The Total Environment (2022) Vol. 838, pp. 156377-156377
Open Access | Times Cited: 35
Exploitation of environmental DNA (eDNA) for ecotoxicological research: A critical review on eDNA metabarcoding in assessing marine pollution
Sakib Tahmid Rishan, Richard J. Kline, Md Saydur Rahman
Chemosphere (2024) Vol. 351, pp. 141238-141238
Closed Access | Times Cited: 7
Prediction of chemical reproductive toxicity to aquatic species using a machine learning model: An application in an ecological risk assessment of the Yangtze River, China
Juntao Fan, Guoxian Huang, Minghui Chi, et al.
The Science of The Total Environment (2021) Vol. 796, pp. 148901-148901
Closed Access | Times Cited: 36
Phytoplankton and Microzooplankton Community Structure and Assembly Mechanisms in Northwestern Pacific Ocean Estuaries with Environmental Heterogeneity and Geographic Segregation
Sun Yi, Hongjun Li, Xiaocheng Wang, et al.
Microbiology Spectrum (2023) Vol. 11, Iss. 2
Open Access | Times Cited: 14
Bacteria versus fungi for predicting anthropogenic pollution in subtropical coastal sediments: Assembly process and environmental response
Zelong Zhao, Hongjun Li, Sun Yi, et al.
Ecological Indicators (2021) Vol. 134, pp. 108484-108484
Open Access | Times Cited: 32
Consideration of Multitrophic Biodiversity and Ecosystem Functions Improves Indices on River Ecological Status
Feilong Li, Yan Zhang, Florian Altermatt, et al.
Environmental Science & Technology (2021) Vol. 55, Iss. 24, pp. 16434-16444
Open Access | Times Cited: 28
Supervised machine learning improves general applicability of eDNA metabarcoding for reservoir health monitoring
Huan Hu, Xingyi Wei, Li Liu, et al.
Water Research (2023) Vol. 246, pp. 120686-120686
Closed Access | Times Cited: 11
Water Quality Monitoring Systems: A Comparative Evaluation of Legislative Frameworks European and Brazilian
Camila Evelyn Rodrigues Pimenta, Júlia Szeles, Gábor Várbíró
Revista de Gestão Social e Ambiental (2025) Vol. 19, Iss. 4, pp. e011505-e011505
Closed Access
Combining eDNA and morphological approaches to reveal the impacts of long-term discharges of shale gas wastewaters on receiving waters
Shangbo Zhou, Zhiqiang Li, Shuchan Peng, et al.
Water Research (2022) Vol. 222, pp. 118869-118869
Closed Access | Times Cited: 16
Environmental DNA metabarcoding reveals the effect of environmental selection on phytoplankton community structure along a subtropical river
Luping Zeng, Jing Wen, Bangjie Huang, et al.
Environmental Research (2023) Vol. 243, pp. 117708-117708
Closed Access | Times Cited: 10
Supervised machine learning for understanding and predicting the status of bistable eukaryotic plankton community in urbanized rivers
Jiahui Shang, Yi Li, Wenlong Zhang, et al.
Water Research (2024) Vol. 266, pp. 122419-122419
Closed Access | Times Cited: 3
Application of attached algae flow-ways for coupling biomass production with the utilization of dilute non-point source nutrients in the Upper Laguna Madre, TX
Sungwhan Kim, Carlos Quiroz‐Arita, Eric Monroe, et al.
Water Research (2021) Vol. 191, pp. 116816-116816
Open Access | Times Cited: 18
Machine learning based algorithms for wind pressure prediction of high-rise buildings
Yi Li, Xuan Huang, Yonggui Li, et al.
Advances in Structural Engineering (2022) Vol. 25, Iss. 10, pp. 2222-2233
Closed Access | Times Cited: 13
Environmental DNA sequencing reveals the regional difference in diversity and community assembly mechanisms of eukaryotic plankton in coastal waters
Zhenguang Yan, Xue-Ming Zhu, Shouwen Zhang, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 7
Unraveling fish diversity and assembly patterns in a temperate river: Evidence from environmental DNA metabarcoding and morphological data
Yue Shi, Shuping Wang, Xiao‐Long Lin, et al.
Ecological Indicators (2023) Vol. 156, pp. 111111-111111
Open Access | Times Cited: 7
Wastewater Deterministically Impacts the Composition and Assembly of Planktonic Microorganisms in the River Ecosystem
Ying Zhang, Yang Huo, Zhiruo Zhang, et al.
ACS ES&T Water (2024) Vol. 4, Iss. 2, pp. 388-398
Closed Access | Times Cited: 2
Comparative analysis of ecological sensitivity assessment using the coefficient of variation method and machine learning
Zefang Zhang, Changming Wang, Baohong Lv
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 10
Closed Access | Times Cited: 2
Estimating aquatic plant diversity and distribution in rivers from Jingjinji region, China, using environmental DNA metabarcoding and a traditional survey method
Fenfen Ji, Liang Yan, Saihong Yan, et al.
Environmental Research (2021) Vol. 199, pp. 111348-111348
Closed Access | Times Cited: 16
A bacterial index to estimate lake trophic level: National scale validation
John K. Pearman, Susanna A. Wood, Marcus J. Vandergoes, et al.
The Science of The Total Environment (2021) Vol. 812, pp. 152385-152385
Closed Access | Times Cited: 16
Assessing the impact of river connectivity on fish biodiversity in the Yangtze River Basin using a multi-index evaluation framework
Aopu Li, Juntao Fan, Fen Guo, et al.
Environmental Research (2023) Vol. 242, pp. 117729-117729
Closed Access | Times Cited: 6
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