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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:

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

Showing 1-25 of 325 citing articles:

Insect decline in the Anthropocene: Death by a thousand cuts
David L. Wagner, Eliza M. Grames, Matthew L. Forister, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 2
Open Access | Times Cited: 1344
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: 177
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: 158
Towards the fully automated monitoring of ecological communities
Marc Besson, Jamie Alison, Kim Bjerge, et al.
Ecology Letters (2022) Vol. 25, Iss. 12, pp. 2753-2775
Open Access | Times Cited: 153
Classification and detection of insects from field images using deep learning for smart pest management: A systematic review
Wenyong Li, Tengfei Zheng, Zhankui Yang, et al.
Ecological Informatics (2021) Vol. 66, pp. 101460-101460
Open Access | Times Cited: 146
Internet of Things and smart sensors in agriculture: Scopes and challenges
Prem Rajak, Abhratanu Ganguly, Satadal Adhikary, et al.
Journal of Agriculture and Food Research (2023) Vol. 14, pp. 100776-100776
Open Access | Times Cited: 113
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
Protected areas and the future of insect conservation
Shawan Chowdhury, Michael D. Jennions, Myron P. Zalucki, et al.
Trends in Ecology & Evolution (2022) Vol. 38, Iss. 1, pp. 85-95
Open Access | Times Cited: 89
Future of DNA-based insect monitoring
Physilia Chua, Sarah J. Bourlat, Cameron Ferguson, et al.
Trends in Genetics (2023) Vol. 39, Iss. 7, pp. 531-544
Closed Access | Times Cited: 56
Emerging technologies in citizen science and potential for insect monitoring
Julie Koch Sheard, Tim Adriaens, Diana E. Bowler, et al.
Philosophical Transactions of the Royal Society B Biological Sciences (2024) Vol. 379, Iss. 1904
Open Access | Times Cited: 16
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: 2
An Automated Light Trap to Monitor Moths (Lepidoptera) Using Computer Vision-Based Tracking and Deep Learning
Kim Bjerge, Jakob Bonde Nielsen, Martin Videbæk Sepstrup, et al.
Sensors (2021) Vol. 21, Iss. 2, pp. 343-343
Open Access | Times Cited: 96
Data-driven vector soliton solutions of coupled nonlinear Schrödinger equation using a deep learning algorithm
Yi-Fan Mo, Liming Ling, Delu Zeng
Physics Letters A (2021) Vol. 421, pp. 127739-127739
Closed Access | Times Cited: 67
Novel CropdocNet Model for Automated Potato Late Blight Disease Detection from Unmanned Aerial Vehicle-Based Hyperspectral Imagery
Yue Shi, Liangxiu Han, Anthony Kleerekoper, et al.
Remote Sensing (2022) Vol. 14, Iss. 2, pp. 396-396
Open Access | Times Cited: 50
Recognition and counting of typical apple pests based on deep learning
Tiewei Wang, Longgang Zhao, Baohua Li, et al.
Ecological Informatics (2022) Vol. 68, pp. 101556-101556
Closed Access | Times Cited: 45
Insect counting through deep learning-based density maps estimation
Arantza Bereciartua, Laura Gómez-Zamanillo, Artzai Picón, et al.
Computers and Electronics in Agriculture (2022) Vol. 197, pp. 106933-106933
Closed Access | Times Cited: 44
Moths complement bumblebee pollination of red clover: a case for day-and-night insect surveillance
Jamie Alison, Jake M. Alexander, Nathan Diaz Zeugin, et al.
Biology Letters (2022) Vol. 18, Iss. 7
Open Access | Times Cited: 40
Pest-YOLO: A model for large-scale multi-class dense and tiny pest detection and counting
Changji Wen, Hongrui Chen, Zhenyu Ma, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 39
Grand challenges in entomology: Priorities for action in the coming decades
Sarah H. Luke, Helen E. Roy, Chris D. Thomas, et al.
Insect Conservation and Diversity (2023) Vol. 16, Iss. 2, pp. 173-189
Open Access | Times Cited: 27
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
The future of tropical insect diversity: strategies to fill data and knowledge gaps
Eleanor M. Slade, Xin Rui Ong
Current Opinion in Insect Science (2023) Vol. 58, pp. 101063-101063
Closed Access | Times Cited: 23
A lightweight and enhanced model for detecting the Neotropical brown stink bug, Euschistus heros (Hemiptera: Pentatomidae) based on YOLOv8 for soybean fields
Bruno Pinheiro de Melo Lima, Lurdineide de Araújo Barbosa Borges, Edson Hirose, et al.
Ecological Informatics (2024) Vol. 80, pp. 102543-102543
Open Access | Times Cited: 15
Towards a toolkit for global insect biodiversity monitoring
Roel van Klink, Julie Koch Sheard, Toke T. Høye, et al.
Philosophical Transactions of the Royal Society B Biological Sciences (2024) Vol. 379, Iss. 1904
Open Access | Times Cited: 15
Insect detect: An open-source DIY camera trap for automated insect monitoring
Maximilian Sittinger, Johannes Uhler, M. A. Pink, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0295474-e0295474
Open Access | Times Cited: 12
Towards a standardized framework for AI-assisted, image-based monitoring of nocturnal insects
David B. Roy, Jamie Alison, Tom August, et al.
Philosophical Transactions of the Royal Society B Biological Sciences (2024) Vol. 379, Iss. 1904
Open Access | Times Cited: 12
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