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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:

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

Showing 26-50 of 140 citing articles:

Diatom DNA Metabarcoding for Biomonitoring: Strategies to Avoid Major Taxonomical and Bioinformatical Biases Limiting Molecular Indices Capacities
Kálmán Tapolczai, François Keck, Agnès Bouchez, et al.
Frontiers in Ecology and Evolution (2019) Vol. 7
Open Access | Times Cited: 76
SLIM: a flexible web application for the reproducible processing of environmental DNA metabarcoding data
Yoann Dufresne, Franck Lejzerowicz, Laure Apotheloz Perret-Gentil, et al.
BMC Bioinformatics (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 70
Monitoring the ecological status of rivers with diatom eDNA metabarcoding: A comparison of taxonomic markers and analytical approaches for the inference of a molecular diatom index
Laure Apothéloz‐Perret‐Gentil, Agnès Bouchez, Tristan Cordier, et al.
Molecular Ecology (2020) Vol. 30, Iss. 13, pp. 2959-2968
Open Access | Times Cited: 65
Comparison of markers for the monitoring of freshwater benthic biodiversity through DNA metabarcoding
Gentile Francesco Ficetola, Frédéric Boyer, Alice Valentini, et al.
Molecular Ecology (2020) Vol. 30, Iss. 13, pp. 3189-3202
Open Access | Times Cited: 54
Eukaryotic Biodiversity and Spatial Patterns in the Clarion-Clipperton Zone and Other Abyssal Regions: Insights From Sediment DNA and RNA Metabarcoding
Franck Lejzerowicz, Andrew J. Gooday, Inés Barrenechea Angeles, et al.
Frontiers in Marine Science (2021) Vol. 8
Open Access | Times Cited: 46
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: 45
Key factors to consider in the use of environmental DNA metabarcoding to monitor terrestrial ecological restoration
Mieke van der Heyde, Michael Bunce, Paul Nevill
The Science of The Total Environment (2022) Vol. 848, pp. 157617-157617
Open Access | Times Cited: 35
Using Machine Learning to make nanomaterials sustainable
Janeck J. Scott‐Fordsmand, Mónica J.B. Amorim
The Science of The Total Environment (2022) Vol. 859, pp. 160303-160303
Open Access | Times Cited: 34
Evaluating eDNA for Use within Marine Environmental Impact Assessments
Shawn Hinz, Jennifer Coston‐Guarini, Michael J. Marnane, et al.
Journal of Marine Science and Engineering (2022) Vol. 10, Iss. 3, pp. 375-375
Open Access | Times Cited: 32
Environmental DNA Metabarcoding: A Novel Contrivance for Documenting Terrestrial Biodiversity
Shahnawaz Hassan, Sabreena, Péter Poczai, et al.
Biology (2022) Vol. 11, Iss. 9, pp. 1297-1297
Open Access | Times Cited: 29
Advanced biosensing technologies for monitoring of agriculture pests and diseases: A review
Jiayao He, Ke Chen, Xubin Pan, et al.
Journal of Semiconductors (2023) Vol. 44, Iss. 2, pp. 023104-023104
Closed Access | Times Cited: 18
Morphology and metabarcoding: a test with stream diatoms from Mexico highlights the complementarity of identification methods
Demetrio Mora, Nélida Abarca, Sebastian Proft, et al.
Freshwater Science (2019) Vol. 38, Iss. 3, pp. 448-464
Open Access | Times Cited: 48
Benthic foraminiferal metabarcoding and morphology-based assessment around three offshore gas platforms: Congruence and complementarity
Fabrizio Frontalini, Tristan Cordier, Eszter Balassi, et al.
Environment International (2020) Vol. 144, pp. 106049-106049
Open Access | Times Cited: 48
Temporal Bacterial Surveillance of Salmon Aquaculture Sites Indicates a Long Lasting Benthic Impact With Minimal Recovery
Joost T. P. Verhoeven, Flora Salvo, Robyn Knight, et al.
Frontiers in Microbiology (2018) Vol. 9
Open Access | Times Cited: 47
A taxonomy-free approach based on machine learning to assess the quality of rivers with diatoms
Maria João Feio, Sónia R. Q. Serra, Andreia Mortágua, et al.
The Science of The Total Environment (2020) Vol. 722, pp. 137900-137900
Closed Access | Times Cited: 46
Comparison of morphological, DNA barcoding, and metabarcoding characterizations of freshwater nematode communities
Janina Schenk, Nils Kleinbölting, Walter Traunspurger
Ecology and Evolution (2020) Vol. 10, Iss. 6, pp. 2885-2899
Open Access | Times Cited: 45
A microbial mandala for environmental monitoring: Predicting multiple impacts on estuarine prokaryote communities of the Bay of Biscay
Anders Lanzén, Iñaki Mendibil, Ángel Borja, et al.
Molecular Ecology (2020) Vol. 30, Iss. 13, pp. 2969-2987
Closed Access | Times Cited: 44
Benthic monitoring of oil and gas offshore platforms in the North Sea using environmental DNA metabarcoding
Florian Mauffrey, Tristan Cordier, Laure Apothéloz‐Perret‐Gentil, et al.
Molecular Ecology (2020) Vol. 30, Iss. 13, pp. 3007-3022
Closed Access | Times Cited: 43
Robustness, sensitivity and reproducibility of eDNA metabarcoding as an environmental biomonitoring tool in coastal salmon aquaculture – An inter-laboratory study
Verena Dully, Heinrich Balliet, Larissa Frühe, et al.
Ecological Indicators (2020) Vol. 121, pp. 107049-107049
Open Access | Times Cited: 40
eDNAssay: A machine learning tool that accurately predicts qPCR cross‐amplification
John A. Kronenberger, Taylor M. Wilcox, Daniel H. Mason, et al.
Molecular Ecology Resources (2022) Vol. 22, Iss. 8, pp. 2994-3005
Open Access | Times Cited: 27
Framing Cutting-Edge Integrative Deep-Sea Biodiversity Monitoring via Environmental DNA and Optoacoustic Augmented Infrastructures
Sérgio Stefanni, Luca Mirimin, David Stanković, et al.
Frontiers in Marine Science (2022) Vol. 8
Open Access | Times Cited: 25
Interfacing Machine Learning and Microbial Omics: A Promising Means to Address Environmental Challenges
James McElhinney, Mary Krystelle Catacutan, Aurélie Mawart, et al.
Frontiers in Microbiology (2022) Vol. 13
Open Access | Times Cited: 25
Environmental DNA metabarcoding serves as a promising method for aquatic species monitoring and management: A review focused on its workflow, applications, challenges and prospects
Miaolian Zhang, Yingtong Zou, Shan Xiao, et al.
Marine Pollution Bulletin (2023) Vol. 194, pp. 115430-115430
Closed Access | Times Cited: 14
Habitat suitability models reveal the spatial signal of environmental DNA in riverine networks
Jeanine Brantschen, Fabian Fopp, Antoine Adde, et al.
Ecography (2024) Vol. 2024, Iss. 8
Open Access | Times Cited: 5
A step towards the validation of bacteria biotic indices using DNA metabarcoding for benthic monitoring
Eva Aylagas, Javier Atalah, Pablo Sánchez-Jérez, et al.
Molecular Ecology Resources (2021) Vol. 21, Iss. 6, pp. 1889-1903
Open Access | Times Cited: 32

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