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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:

YOLO-EP: A detection algorithm to detect eggs of Pomacea canaliculata in rice fields
Yao Huang, Jing He, Gang Liu, et al.
Ecological Informatics (2023) Vol. 77, pp. 102211-102211
Closed Access | Times Cited: 13

Showing 13 citing articles:

WildARe-YOLO: A lightweight and efficient wild animal recognition model
Sibusiso Reuben Bakana, Yongfei Zhang, Bhekisipho Twala
Ecological Informatics (2024) Vol. 80, pp. 102541-102541
Open Access | Times Cited: 14
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: 14
MED-YOLOv8s: a new real-time road crack, pothole, and patch detection model
Minghu Zhao, Yaoheng Su, Jiuxin Wang, et al.
Journal of Real-Time Image Processing (2024) Vol. 21, Iss. 2
Closed Access | Times Cited: 12
Advancements in rice disease detection through convolutional neural networks: A comprehensive review
Burak Gülmez
Heliyon (2024) Vol. 10, Iss. 12, pp. e33328-e33328
Open Access | Times Cited: 6
Advances in Deep Learning Applications for Plant Disease and Pest Detection: A Review
Shaohua Wang, Dachuan Xu, Haojian Liang, et al.
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 698-698
Open Access
Grape Guard: A YOLO-based mobile application for detecting grape leaf diseases1
Sajib Bin Mamun, Israt Jahan Payel, Md Taimur Ahad, et al.
Journal of Electronic Science and Technology (2025), pp. 100300-100300
Open Access
Recent advances in Transformer technology for agriculture: A comprehensive survey
Weijun Xie, M G Zhao, Ying Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109412-109412
Closed Access | Times Cited: 3
Deep Learning Methods for Detecting Chilli Pests: A Novel Performance Analysis
Kantha Raju Kanaparthi, S. Sudhakar Ilango
Ecological Engineering & Environmental Technology (2024) Vol. 25, Iss. 6, pp. 234-254
Open Access | Times Cited: 2
YOLO-CFruit: a robust object detection method for Camellia oleifera fruit in complex environments
Yuanyin Luo, Yang Liu, Haorui Wang, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access
Lightweight and accurate aphid detection model based on an improved deep-learning network
Wen‐Hua Sun, Yane Li, Hailin Feng, et al.
Ecological Informatics (2024) Vol. 83, pp. 102794-102794
Open Access
Hierarchical deep learning framework for automated marine vegetation and fauna analysis using ROV video data
Bjørn Christian Weinbach, Rajendra Akerkar, Marianne Nilsen, et al.
Ecological Informatics (2024), pp. 102966-102966
Open Access
Real-Time Vehicle Detection Based on Improved YOLOv5 for Drone Images
佳桥 何
Software Engineering and Applications (2023) Vol. 12, Iss. 05, pp. 705-713
Closed Access | Times Cited: 1
Accurate detection of microalgae in ship ballast water: An innovative computer vision strategy
Yantong Chen, Yang Liu, Jialiang Wang, et al.
Ecological Informatics (2023) Vol. 78, pp. 102311-102311
Closed Access
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