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-Pest: An Insect Pest Object Detection Algorithm via CAC3 Module
Qiuchi Xiang, Xiaoning Huang, Zhouxu Huang, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3221-3221
Open Access | Times Cited: 15

Showing 15 citing articles:

PestLite: A Novel YOLO-Based Deep Learning Technique for Crop Pest Detection
Qing Dong, Lina Sun, Tianxin Han, et al.
Agriculture (2024) Vol. 14, Iss. 2, pp. 228-228
Open Access | Times Cited: 18

A Lightweight Crop Pest Detection Algorithm Based on Improved Yolov5s
Jing Zhang, Jun Wang, Maocheng Zhao
Agronomy (2023) Vol. 13, Iss. 7, pp. 1779-1779
Open Access | Times Cited: 14

Efficient Optimized YOLOv8 Model with Extended Vision
Qi Zhou, Zhou Wang, Yiwen Zhong, et al.
Sensors (2024) Vol. 24, Iss. 20, pp. 6506-6506
Open Access | Times Cited: 4

YOLOv8 forestry pest recognition based on improved re-parametric convolution
Lina Zhang, Shengpeng Yu, Bo Yang, et al.
Frontiers in Plant Science (2025) Vol. 16
Open Access

Automatic detection and counting of planthoppers on white flat plate images captured by AR glasses for planthopper field survey
Haiyuan Sheng, Qing Yao, Ju Luo, et al.
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108639-108639
Closed Access | Times Cited: 3

Detection of Forestry Pests Based on Improved YOLOv5 and Transfer Learning
Dayang Liu, Feng Lv, Jingtao Guo, et al.
Forests (2023) Vol. 14, Iss. 7, pp. 1484-1484
Open Access | Times Cited: 10

From beasts to bytes: Revolutionizing zoological research with artificial intelligence
Yujuan Zhang, Zeyu Luo, Yawen Sun, et al.
动物学研究 (2023) Vol. 44, Iss. 6, pp. 1115-1131
Open Access | Times Cited: 8

A Novel Crop Pest Detection Model Based on YOLOv5
Wenji Yang, Xiaoying Qiu
Agriculture (2024) Vol. 14, Iss. 2, pp. 275-275
Open Access | Times Cited: 2

Research on lightweight target detection algorithm of farmland insect pests based on YOLO-PPLCBot
Yanlei Xu, Lu Xing, Yang Zhou
Journal of Electronic Imaging (2023) Vol. 32, Iss. 04
Closed Access | Times Cited: 5

An Advancing GCT-Inception-ResNet-V3 Model for Arboreal Pest Identification
Cheng Li, Yunxiang Tian, Xiaolin Tian, et al.
Agronomy (2024) Vol. 14, Iss. 4, pp. 864-864
Open Access | Times Cited: 1

Pest Detection Based on Lightweight Locality-Aware Faster R-CNN
Kai-Run Li, Li-Jun Duan, Yang‐Jun Deng, et al.
Agronomy (2024) Vol. 14, Iss. 10, pp. 2303-2303
Open Access | Times Cited: 1

A lightweight rice pest detection algorithm based on improved YOLOv8
Yong Zheng, Weiheng Zheng, Xia Du
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Cochineal Colony Detection in Cactus Pear: A Deep Learning Approach
Wiam Salhi, Karim El Fakhouri, Mustapha El Bouhssini, et al.
Communications in computer and information science (2024), pp. 221-232
Closed Access

Agricultural Pest Small Target Detection Algorithm Based on Improved YOLOv5 Architecture
Haiying Song, Yiying Yan, Min Xie, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1

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