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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:

Codling Moth Monitoring with Camera-Equipped Automated Traps: A Review
József Sütő
Agriculture (2022) Vol. 12, Iss. 10, pp. 1721-1721
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Fruit fly automatic detection and monitoring techniques: A review
Florence Lello, Mussa Ally Dida, Mbazingwa E. Mkiramweni, et al.
Smart Agricultural Technology (2023) Vol. 5, pp. 100294-100294
Open Access | Times Cited: 12
EfficientDet-4 Deep Neural Network-Based Remote Monitoring of Codling Moth Population for Early Damage Detection in Apple Orchard
Dana Čirjak, Ivan Aleksi, Darija Lemić, et al.
Agriculture (2023) Vol. 13, Iss. 5, pp. 961-961
Open Access | Times Cited: 11
Development of an autonomous smart trap for precision monitoring of hematophagous flies on cattle
Gaspare Santaera, Valeria Zeni, Gianluca Manduca, et al.
Smart Agricultural Technology (2025), pp. 100842-100842
Open Access
Internet of Things (IoT) and Artificial Intelligence (AI) in Agriculture: Applications for Sustainable Crop Protection
Rachid Azenzem, Hajar Eddomairi
Sustainable development goals series (2025), pp. 73-86
Closed Access
Research on a machine vision-based electro-killing pheromone-baited intelligent agricultural pest monitoring method
Guozhi Li, Jun Liu, Zelin Feng, et al.
Frontiers in Plant Science (2025) Vol. 16
Open Access
Enhanced Pest Detection Using Quaternion-Based Image Segmentation in Yellow Sticky Trap Samples for Precision Agriculture
Esquivel-Félix Ramiro, Luis Octavio Solís-Sánchez, Alberto Ochoa, et al.
Lecture notes in computer science (2025), pp. 199-215
Closed Access
Acceleration of Image Classification and Object Tracking by the Intel Neural Compute Stick 2 with Power Efficiency Evaluation on Raspberry Pi 4B
Tianyu Gao, József Sütő
Sensors (2025) Vol. 25, Iss. 6, pp. 1794-1794
Open Access
Increasing catches of adult moth pests (Lepidoptera: Tortricidae) in pome fruit with low‐intensity LED lights added to sex pheromone/kairomone lure‐baited traps
A. L. Knight, Michele Preti, Esteban Basoalto, et al.
Journal of Applied Entomology (2023) Vol. 147, Iss. 9, pp. 843-856
Open Access | Times Cited: 8
Insect Identification in the Wild: The AMI Dataset
A. Jain, Fagner Cunha, Michael James Bunsen, et al.
Lecture notes in computer science (2024), pp. 55-73
Closed Access | Times Cited: 2
A novel dataset and deep learning object detection benchmark for grapevine pest surveillance
Giorgio Checola, Paolo Sonego, Roberto Zorer, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 2
A Novel Plug-in Board for Remote Insect Monitoring
József Sütő
Agriculture (2022) Vol. 12, Iss. 11, pp. 1897-1897
Open Access | Times Cited: 11
Image-Based Insect Counting Embedded in E-Traps That Learn without Manual Image Annotation and Self-Dispose Captured Insects
Ioannis Saradopoulos, Ilyas Potamitis, Antonios Konstantaras, et al.
Information (2023) Vol. 14, Iss. 5, pp. 267-267
Open Access | Times Cited: 4
Using Data Augmentation to Improve the Generalization Capability of an Object Detector on Remote-Sensed Insect Trap Images
József Sütő
Sensors (2024) Vol. 24, Iss. 14, pp. 4502-4502
Open Access | Times Cited: 1
Improving the generalization capability of YOLOv5 on remote sensed insect trap images with data augmentation
József Sütő
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 27921-27934
Open Access | Times Cited: 3
Hardware and Software Support for Insect Pest Management
József Sütő
Agriculture (2023) Vol. 13, Iss. 9, pp. 1818-1818
Open Access | Times Cited: 2
A Novel Dataset and Deep Learning Object Detection Benchmark for Grapevine Pest Surveillance
Giorgio Checola, Paolo Sonego, Roberto Zorer, et al.
(2024)
Closed Access
Future semiochemical control of codling moth, Cydia pomonella
E. Charles Whitfield, Michelle T. Fountain
Frontiers in Horticulture (2024) Vol. 3
Open Access
Control De Spodoptera Frugiperda Mediante Insecticida Aplicado Con Drones Y Aguilón Fumigador
Jonathan Bladimir Zhiminaicela Cabrera, Sayda Herrera Reyes, Paola España Valencia
CIENCIA EN DESARROLLO (2024) Vol. 15, Iss. 1, pp. 13-22
Open Access
A Low-Cost Remotely Configurable Electronic Trap for Insect Pest Dataset Generation
F. León, José M. Palomares, Meelad Yousef-Yousef, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10307-10307
Open Access
Through twilight to the light: a new sight of variability in codling moth behavioral reactions
А. Н. Фролов, Yu. A. Zakharova, Svetlana M. Malysh
Plant Protection News (2024) Vol. 107, Iss. 2, pp. 40-74
Open Access
IoT-Based Pest Detection in Agriculture Using Raspberry Pi and YOLOv10m for Precision Farming
Mohamed Zarboubi, Abdelaaziz Bellout, Samira Chabaa, et al.
ITM Web of Conferences (2024) Vol. 69, pp. 04017-04017
Open Access
TrackingHelicoverpa zea(Lepidoptera: Noctuidae) flight behavior with infrared camera around pheromone trap
Christophe Duplais, Chris Roh
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Image Augmentation Using Both Background Extraction and the SAHI Approach in the Context of Vision-Based Insect Localization and Counting
Ioannis Saradopoulos, Ilyas Potamitis, Iraklis Rigakis, et al.
Information (2024) Vol. 16, Iss. 1, pp. 10-10
Open Access
Image-Based Insect Counting Embedded in E-traps that Learn Without Manual Image Annotation and Self-Dispose Captured Insects
Ioannis Saradopoulos, Ilyas Potamitis, Antonios Konstantaras, et al.
(2023)
Open Access | Times Cited: 1
Development of a Low-Power Automatic Monitoring System for Spodoptera frugiperda (J. E. Smith)
Meixiang Chen, Liping Chen, Tongchuan Yi, et al.
Agriculture (2023) Vol. 13, Iss. 4, pp. 843-843
Open Access | Times Cited: 1
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