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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:

A deep learning-based pipeline for whitefly pest abundance estimation on chromotropic sticky traps
Luca Ciampi, Valeria Zeni, Luca Incrocci, et al.
Ecological Informatics (2023) Vol. 78, pp. 102384-102384
Open Access | Times Cited: 10

Showing 10 citing articles:

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
YOLO_MRC: A fast and lightweight model for real-time detection and individual counting of Tephritidae pests
Min Wei, Wei Zhan
Ecological Informatics (2023) Vol. 79, pp. 102445-102445
Open Access | Times Cited: 13
Explainable Olive grove and Grapevine pest forecasting through machine learning-based classification and regression
Francesc Rodríguez-Díaz, Andrés Manuel Chacón-Maldonado, A. R. Troncoso-García, et al.
Results in Engineering (2024) Vol. 24, pp. 103058-103058
Open Access | Times Cited: 5
In-field monitoring of ground-nesting insect aggregations using a scaleable multi-camera system
Daniela Calvus, Karoline Wueppenhorst, R.E. Schlosser, et al.
Ecological Informatics (2025), pp. 103004-103004
Open Access
Systematic review on machine learning and computer vision in precision agriculture: Applications, trends, and emerging techniques
Yean‐Der Kuan, K. M. Goh, Lee‐Ling Lim
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110401-110401
Closed Access
PestDet: A unified detecti framework for accurate and efficient stored-grain pest detection
Jida Tian, Muyi Sun, Huiling Zhou, et al.
Ecological Informatics (2025), pp. 103145-103145
Open Access
STARdbi: A pipeline and database for insect monitoring based on automated image analysis
Tamar Keasar, Michael Yair, Daphna Gottlieb, et al.
Ecological Informatics (2024) Vol. 80, pp. 102521-102521
Open Access | Times Cited: 3
AI-Based Regulation of Water Supply and Pest Management in Farming
Murugasridevi Kalirajan, V.R. Mageshen, K. Aswitha, et al.
(2024), pp. 195-215
Closed Access
Using a knowledge representation logic to estimate the availability of Imbrasia epimethea (Lepidoptera: Saturniidae), an important edible insect in Subsaharan Africa
Komi Agboka, Ouaba José, Félix Meutchieye, et al.
Ecological Informatics (2024) Vol. 84, pp. 102890-102890
Closed Access
A novel method based on hybrid deep learning with explainability for olive fruit pest forecasting
Andrés Manuel Chacón-Maldonado, Laura Melgar-García, Gualberto Asencio-Cortés, et al.
Neural Computing and Applications (2024) Vol. 37, Iss. 5, pp. 3245-3264
Open Access
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