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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:

The Flora Incognita app – Interactive plant species identification
Patrick Mäder, David Boho, Michael Rzanny, et al.
Methods in Ecology and Evolution (2021) Vol. 12, Iss. 7, pp. 1335-1342
Open Access | Times Cited: 82

Showing 1-25 of 82 citing articles:

Machine learning and deep learning—A review for ecologists
Maximilian Pichler, Florian Härtig
Methods in Ecology and Evolution (2023) Vol. 14, Iss. 4, pp. 994-1016
Open Access | Times Cited: 179
Emerging technologies revolutionise insect ecology and monitoring
Roel van Klink, Tom August, Yves Bas, et al.
Trends in Ecology & Evolution (2022) Vol. 37, Iss. 10, pp. 872-885
Open Access | Times Cited: 169
Digital innovations for sustainable and resilient agricultural systems
Robert Finger
European Review of Agricultural Economics (2023) Vol. 50, Iss. 4, pp. 1277-1309
Open Access | Times Cited: 70
Digital twins: dynamic model-data fusion for ecology
Koen de Koning, Jeroen Broekhuijsen, Ingolf Kühn, et al.
Trends in Ecology & Evolution (2023) Vol. 38, Iss. 10, pp. 916-926
Open Access | Times Cited: 42
Species delimitation 4.0: integrative taxonomy meets artificial intelligence
Kevin Karbstein, Lara M. Kösters, Ladislav Hodač, et al.
Trends in Ecology & Evolution (2024) Vol. 39, Iss. 8, pp. 771-784
Open Access | Times Cited: 22
Utilising affordable smartphones and open-source time-lapse photography for pollinator image collection and annotation
Valentin Ştefan, Aspen Workman, Jared C. Cobain, et al.
Journal of Pollination Ecology (2025) Vol. 37, pp. 1-21
Open Access | Times Cited: 1
A review of invasive species reporting apps for citizen science and opportunities for innovation
Leif Howard, Charles B. van Rees, Zoe Dahlquist, et al.
NeoBiota (2022) Vol. 71, pp. 165-188
Open Access | Times Cited: 48
Deep Learning in Plant Phenological Research: A Systematic Literature Review
Negin Katal, Michael Rzanny, Patrick Mäder, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 47
Biodiversity indicators for result-based agri-environmental schemes – Current state and future prospects
By Noëmi Elmiger, Robert Finger, Jaboury Ghazoul, et al.
Agricultural Systems (2022) Vol. 204, pp. 103538-103538
Open Access | Times Cited: 45
Citizen science plant observations encode global trait patterns
Sophie Wolf, Miguel D. Mahecha, Francesco Sabatini, et al.
Nature Ecology & Evolution (2022) Vol. 6, Iss. 12, pp. 1850-1859
Closed Access | Times Cited: 41
Citizen science’s transformative impact on science, citizen empowerment and socio-political processes
Julia von Gönner, Thora Martina Herrmann, Till Bruckermann, et al.
Socio-Ecological Practice Research (2023) Vol. 5, Iss. 1, pp. 11-33
Open Access | Times Cited: 37
Improving wild bee monitoring, sampling methods, and conservation
Felix Klaus, Manfred Ayasse, Alice Claßen, et al.
Basic and Applied Ecology (2024) Vol. 75, pp. 2-11
Open Access | Times Cited: 11
Identification of Oxidative-Stress-Reducing Plant Extracts from a Novel Extract Library—Comparative Analysis of Cell-Free and Cell-Based In Vitro Assays to Quantitate Antioxidant Activity
Mara Heckmann, Verena Stadlbauer, Ivana Drotarova, et al.
Antioxidants (2024) Vol. 13, Iss. 3, pp. 297-297
Open Access | Times Cited: 10
Assessing the accuracy of free automated plant identification applications
Adam G. Hart, Hayley Bosley, Chloe Hooper, et al.
People and Nature (2023) Vol. 5, Iss. 3, pp. 929-937
Open Access | Times Cited: 20
Geometric Morphometric Versus Genomic Patterns in a Large Polyploid Plant Species Complex
Ladislav Hodač, Kevin Karbstein, Salvatore Tomasello, et al.
Biology (2023) Vol. 12, Iss. 3, pp. 418-418
Open Access | Times Cited: 19
iPhenology: Using open‐access citizen science photos to track phenology at continental scale
Yves P. Klinger, R. Lutz Eckstein, Till Kleinebecker
Methods in Ecology and Evolution (2023) Vol. 14, Iss. 6, pp. 1424-1431
Open Access | Times Cited: 17
Opportunistic plant observations reveal spatial and temporal gradients in phenology
Michael Rzanny, Patrick Mäder, Hans Christian Wittich, et al.
npj Biodiversity (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 5
Plantonome: A Cross-Platform Application for Precision Agriculture
Anass Deroussi, Abdessalam Aït Madi, Imam Alihamidi, et al.
E3S Web of Conferences (2025) Vol. 601, pp. 00022-00022
Open Access
Cooperative learning of Pl@ntNet's Artificial Intelligence algorithm: How does it work and how can we improve it?
Tanguy Lefort, Antoine Affouard, Benjamin Charlier, et al.
Methods in Ecology and Evolution (2025)
Open Access
Grassland management and phenology affect trait retrieval accuracy from remote sensing observations
Maksim Iakunin, Franziska Taubert, Reimund Goss, et al.
Ecological Informatics (2025) Vol. 87, pp. 103068-103068
Open Access
Botanical databases in EIA: opportunities and challenges
Álvaro Enríquez‐de‐Salamanca
Impact Assessment and Project Appraisal (2025), pp. 1-11
Closed Access
Application and pitfalls of the use of plant ID apps for urban flora and citizen science studies
H. G. Jones, Asheley Jones
Plant Ecology & Diversity (2025), pp. 1-9
Closed Access
Crowd‐sourced plant occurrence data provide a reliable description of macroecological gradients
Miguel D. Mahecha, Michael Rzanny, Guido Kraemer, et al.
Ecography (2021) Vol. 44, Iss. 8, pp. 1131-1142
Open Access | Times Cited: 33
Photographs as an essential biodiversity resource: drivers of gaps in the vascular plant photographic record
Thomas Mesaglio, Hervé Sauquet, David Coleman, et al.
New Phytologist (2023) Vol. 238, Iss. 4, pp. 1685-1694
Open Access | Times Cited: 15
The CropAndWeed Dataset: a Multi-Modal Learning Approach for Efficient Crop and Weed Manipulation
Daniel Steininger, Andreas Trondl, Gerardus Croonen, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 3718-3727
Closed Access | Times Cited: 12
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