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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:

Species‐level image classification with convolutional neural network enables insect identification from habitus images
Oskar Liset Pryds Hansen, Jens‐Christian Svenning, Kent Olsen, et al.
Ecology and Evolution (2019) Vol. 10, Iss. 2, pp. 737-747
Open Access | Times Cited: 99

Showing 1-25 of 99 citing articles:

Deep learning and computer vision will transform entomology
Toke T. Høye, Johanna Ärje, Kim Bjerge, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 2
Open Access | Times Cited: 325
Deep learning as a tool for ecology and evolution
Marek L. Borowiec, Rebecca B. Dikow, Paul B. Frandsen, et al.
Methods in Ecology and Evolution (2022) Vol. 13, Iss. 8, pp. 1640-1660
Open Access | Times Cited: 156
Real‐time insect tracking and monitoring with computer vision and deep learning
Kim Bjerge, Hjalte M. R. Mann, Toke T. Høye
Remote Sensing in Ecology and Conservation (2021) Vol. 8, Iss. 3, pp. 315-327
Open Access | Times Cited: 104
Accurate detection and identification of insects from camera trap images with deep learning
Kim Bjerge, Jamie Alison, Mads Dyrmann, et al.
PLOS Sustainability and Transformation (2023) Vol. 2, Iss. 3, pp. e0000051-e0000051
Open Access | Times Cited: 67
Hierarchical classification of insects with multitask learning and anomaly detection
Kim Bjerge, Quentin Geissmann, Jamie Alison, et al.
Ecological Informatics (2023) Vol. 77, pp. 102278-102278
Open Access | Times Cited: 26
From identification to forecasting: the potential of image recognition and artificial intelligence for aphid pest monitoring
Philipp Batz, Torsten Will, Steffen Thiel, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 23
Entomoscope: An Open-Source Photomicroscope for Biodiversity Discovery
Lorenz Wührl, Luca Rettenberger, Rudolf Meier, et al.
IEEE Access (2024) Vol. 12, pp. 11785-11794
Open Access | Times Cited: 10
A convolutional neural network to identify mosquito species (Diptera: Culicidae) of the genus Aedes by wing images
Felix Gregor Sauer, Moritz Werny, Kristopher Nolte, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
Emerging technologies for pollinator monitoring
Toke T. Høye, Matteo Montagna, Bas Oteman, et al.
Current Opinion in Insect Science (2025), pp. 101367-101367
Closed Access | Times Cited: 1
Connected Carabids: Network Interactions and Their Impact on Biocontrol by Carabid Beetles
Stefanie E. De Heij, Christian J. Willenborg
BioScience (2020) Vol. 70, Iss. 6, pp. 490-500
Open Access | Times Cited: 51
Precise Agriculture: Effective Deep Learning Strategies to Detect Pest Insects
Luca Butera, Alberto Ferrante, Mauro Jermini, et al.
IEEE/CAA Journal of Automatica Sinica (2021) Vol. 9, Iss. 2, pp. 246-258
Closed Access | Times Cited: 47
Image‐based taxonomic classification of bulk insect biodiversity samples using deep learning and domain adaptation
Tomochika Fujisawa, Víctor Noguerales, Emmanouil Meramveliotakis, et al.
Systematic Entomology (2023) Vol. 48, Iss. 3, pp. 387-401
Open Access | Times Cited: 14
Vision Transformer (ViT)-based Applications in Image Classification
Yingzi Huo, Kai Jin, Jiahong Cai, et al.
(2023), pp. 135-140
Closed Access | Times Cited: 14
Can artificial intelligence be integrated into pest monitoring schemes to help achieve sustainable agriculture? An entomological, management and computational perspective
Daniel J. Leybourne, Nasamu Musa, Po Yang
Agricultural and Forest Entomology (2024)
Open Access | Times Cited: 5
A deep learning pipeline for time-lapse camera monitoring of insects and their floral environments
Kim Bjerge, Henrik Karstoft, Hjalte M. R. Mann, et al.
Ecological Informatics (2024), pp. 102861-102861
Open Access | Times Cited: 5
High Throughput Data Acquisition and Deep Learning for Insect Ecoinformatics
Alexander Gerovichev, Achiad Sadeh, Vlad Winter, et al.
Frontiers in Ecology and Evolution (2021) Vol. 9
Open Access | Times Cited: 32
A novel insect and pest identification model based on a weighted multipath convolutional neural network and generative adversarial network
Vinita Abhishek Gupta, M.V. Padmavati, Ravi R Saxena, et al.
Karbala International Journal of Modern Science (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 12
New trends in detection of harmful insects and pests in modern agriculture using artificial neural networks. a review
Dan Popescu, Alexandru Dinca, Loretta Ichim, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 12
Insect Classification Framework based on a Novel Fusion of High-level and Shallow Features
Raye Haarika, Tina Babu, Rekha R Nair
Procedia Computer Science (2023) Vol. 218, pp. 338-347
Open Access | Times Cited: 11
AI-Enabled Crop Management Framework for Pest Detection Using Visual Sensor Data
Asma Khan, Sharaf J. Malebary, L. Minh Dang, et al.
Plants (2024) Vol. 13, Iss. 5, pp. 653-653
Open Access | Times Cited: 4
Advancing Taxonomy with Machine Learning: A Hybrid Ensemble for Species and Genus Classification
Loris Nanni, Matteo De Gobbi, Roger De Almeida Matos, et al.
Algorithms (2025) Vol. 18, Iss. 2, pp. 105-105
Open Access
Unveiling the frontiers of deep learning: Innovations shaping diverse domains
Shams Forruque Ahmed, Md. Sakib Bin Alam, Maliha Kabir, et al.
Applied Intelligence (2025) Vol. 55, Iss. 7
Open Access
AInsectID Version 1.1: An Insect Species Identification Software Based on the Transfer Learning of Deep Convolutional Neural Networks
Haleema Sadia, Parvez Alam
(2025)
Open Access
Deep learning and computer vision will transform entomology
Toke T. Høye, Johanna Ärje, Kim Bjerge, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 31
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