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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:

Predicting the Ecological Quality Status of Marine Environments from eDNA Metabarcoding Data Using Supervised Machine Learning
Tristan Cordier, Philippe Esling, Franck Lejzerowicz, et al.
Environmental Science & Technology (2017) Vol. 51, Iss. 16, pp. 9118-9126
Closed Access | Times Cited: 181

Showing 1-25 of 181 citing articles:

Past, present, and future perspectives of environmental DNA (eDNA) metabarcoding: A systematic review in methods, monitoring, and applications of global eDNA
Krista M. Ruppert, Richard J. Kline, Md Saydur Rahman
Global Ecology and Conservation (2019) Vol. 17, pp. e00547-e00547
Open Access | Times Cited: 906
The future of biotic indices in the ecogenomic era: Integrating (e)DNA metabarcoding in biological assessment of aquatic ecosystems
Jan Pawłowski, Mary Kelly‐Quinn, Florian Altermatt, et al.
The Science of The Total Environment (2018) Vol. 637-638, pp. 1295-1310
Open Access | Times Cited: 476
Uses and Misuses of Environmental DNA in Biodiversity Science and Conservation
Melania E. Cristescu, Paul D. N. Hebert
Annual Review of Ecology Evolution and Systematics (2018) Vol. 49, Iss. 1, pp. 209-230
Open Access | Times Cited: 299
DNA metabarcoding of littoral hard-bottom communities: high diversity and database gaps revealed by two molecular markers
Owen S. Wangensteen, Creu Palacín, Magdalena Guardiola, et al.
PeerJ (2018) Vol. 6, pp. e4705-e4705
Open Access | Times Cited: 265
Ecosystems monitoring powered by environmental genomics: A review of current strategies with an implementation roadmap
Tristan Cordier, Laura Alonso‐Sáez, Laure Apothéloz‐Perret‐Gentil, et al.
Molecular Ecology (2020) Vol. 30, Iss. 13, pp. 2937-2958
Open Access | Times Cited: 217
Application of Machine Learning in Microbiology
Kaiyang Qu, Fei Guo, Xiangrong Liu, et al.
Frontiers in Microbiology (2019) Vol. 10
Open Access | Times Cited: 174
Environmental DNA metabarcoding for benthic monitoring: A review of sediment sampling and DNA extraction methods
Jan Pawłowski, Kat Bruce, Kristel Panksep, et al.
The Science of The Total Environment (2021) Vol. 818, pp. 151783-151783
Open Access | Times Cited: 139
A practical guide to DNA-based methods for biodiversity assessment
Kat Bruce, Rosetta C. Blackman, Sarah J. Bourlat, et al.
Pensoft Publishers eBooks (2021)
Open Access | Times Cited: 132
Deep exploration of random forest model boosts the interpretability of machine learning studies of complicated immune responses and lung burden of nanoparticles
Fubo Yu, Changhong Wei, Peng Deng, et al.
Science Advances (2021) Vol. 7, Iss. 22
Open Access | Times Cited: 118
Embracing Environmental Genomics and Machine Learning for Routine Biomonitoring
Tristan Cordier, Anders Lanzén, Laure Apothéloz‐Perret‐Gentil, et al.
Trends in Microbiology (2018) Vol. 27, Iss. 5, pp. 387-397
Closed Access | Times Cited: 160
Omics Advances in Ecotoxicology
Xiaowei Zhang, Pu Xia, Pingping Wang, et al.
Environmental Science & Technology (2018) Vol. 52, Iss. 7, pp. 3842-3851
Open Access | Times Cited: 159
Why We Need Sustainable Networks Bridging Countries, Disciplines, Cultures and Generations for Aquatic Biomonitoring 2.0: A Perspective Derived From the DNAqua-Net COST Action
Florian Leese, Agnès Bouchez, Kessy Abarenkov, et al.
Advances in ecological research/Advances in Ecological Research (2018), pp. 63-99
Open Access | Times Cited: 152
Supervised machine learning outperforms taxonomy‐based environmental DNA metabarcoding applied to biomonitoring
Tristan Cordier, Dominik Forster, Yoann Dufresne, et al.
Molecular Ecology Resources (2018) Vol. 18, Iss. 6, pp. 1381-1391
Closed Access | Times Cited: 140
Global Observational Needs and Resources for Marine Biodiversity
Gabrielle Canonico, Pier Luigi Buttigieg, Enrique Montes, et al.
Frontiers in Marine Science (2019) Vol. 6
Open Access | Times Cited: 133
A review on the applications and recent advances in environmental DNA (eDNA) metagenomics
Deviram Garlapati, B. Charankumar, Karri Ramu, et al.
Reviews in Environmental Science and Bio/Technology (2019) Vol. 18, Iss. 3, pp. 389-411
Closed Access | Times Cited: 130
Application of Environmental DNA Metabarcoding for Predicting Anthropogenic Pollution in Rivers
Feilong Li, Ying Peng, Wendi Fang, et al.
Environmental Science & Technology (2018)
Open Access | Times Cited: 126
Comparison of environmental DNA and bulk‐sample metabarcoding using highly degenerate cytochrome c oxidase I primers
Jan‐Niklas Macher, Aurélien Vivancos, Jeremy J. Piggott, et al.
Molecular Ecology Resources (2018) Vol. 18, Iss. 6, pp. 1456-1468
Closed Access | Times Cited: 123
New High-Tech Flexible Networks for the Monitoring of Deep-Sea Ecosystems
Jacopo Aguzzi, Damianos Chatzievangelou, Simone Marini, et al.
Environmental Science & Technology (2019) Vol. 53, Iss. 12, pp. 6616-6631
Open Access | Times Cited: 111
A cross-taxa study using environmental DNA/RNA metabarcoding to measure biological impacts of offshore oil and gas drilling and production operations
Olivier Laroche, Susanna A. Wood, Louis A. Tremblay, et al.
Marine Pollution Bulletin (2017) Vol. 127, pp. 97-107
Closed Access | Times Cited: 105
The Exposome in the Era of One Health
Peng Gao
Environmental Science & Technology (2021) Vol. 55, Iss. 5, pp. 2790-2799
Closed Access | Times Cited: 98
Environmental DNA metabarcoding of benthic bacterial communities indicates the benthic footprint of salmon aquaculture
Thorsten Stoeck, Larissa Frühe, Dominik Forster, et al.
Marine Pollution Bulletin (2017) Vol. 127, pp. 139-149
Open Access | Times Cited: 89
Towards a holistic and solution-oriented monitoring of chemical status of European water bodies: how to support the EU strategy for a non-toxic environment?
Werner Brack, Beate I. Escher, E. Müller, et al.
Environmental Sciences Europe (2018) Vol. 30, Iss. 1
Open Access | Times Cited: 87
Supervised machine learning is superior to indicator value inference in monitoring the environmental impacts of salmon aquaculture using eDNA metabarcodes
Larissa Frühe, Tristan Cordier, Verena Dully, et al.
Molecular Ecology (2020) Vol. 30, Iss. 13, pp. 2988-3006
Closed Access | Times Cited: 85
Multi-marker eDNA metabarcoding survey to assess the environmental impact of three offshore gas platforms in the North Adriatic Sea (Italy)
Tristan Cordier, Fabrizio Frontalini, Kristina Cermakova, et al.
Marine Environmental Research (2019) Vol. 146, pp. 24-34
Closed Access | Times Cited: 82
eDNA metabarcoding in zooplankton improves the ecological status assessment of aquatic ecosystems
Jianghua Yang, Xiaowei Zhang
Environment International (2019) Vol. 134, pp. 105230-105230
Open Access | Times Cited: 82
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