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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:

Detection of Rice Pests Based on Self-Attention Mechanism and Multi-Scale Feature Fusion
Yuqi Hu, Xiaoling Deng, Yubin Lan, et al.
Insects (2023) Vol. 14, Iss. 3, pp. 280-280
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

SMC-YOLO: A High-Precision Maize Insect Pest-Detection Method
Qinghao Wang, Yongkang Liu, Qi Zheng, et al.
Agronomy (2025) Vol. 15, Iss. 1, pp. 195-195
Open Access | Times Cited: 3
Apnet: Lightweight network for apricot tree disease and pest detection in real-world complex backgrounds
Minglang Li, Zhiyong Tao, Wentao Yan, et al.
Plant Methods (2025) Vol. 21, Iss. 1
Open Access | Times Cited: 2
A novel multi-label pest image classifier using the modified Swin Transformer and soft binary cross entropy loss
Qingwen Guo, Chuntao Wang, Deqin Xiao, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107060-107060
Closed Access | Times Cited: 22
Classification of Typical Pests and Diseases of Rice Based on the ECA Attention Mechanism
Hongjun Ni, Zhiwei Shi, Stephen Karungaru, et al.
Agriculture (2023) Vol. 13, Iss. 5, pp. 1066-1066
Open Access | Times Cited: 18
A high-precision jujube disease spot detection based on SSD during the sorting process
Zhi-Ben Yin, Fuyong Liu, Hui Geng, et al.
PLoS ONE (2024) Vol. 19, Iss. 1, pp. e0296314-e0296314
Open Access | Times Cited: 6
Leveraging Deep Learning and Farmland Fertility Algorithm for Automated Rice Pest Detection and Classification Model
Balaji P. Srikaanth
KSII Transactions on Internet and Information Systems (2024) Vol. 18, Iss. 4
Open Access | Times Cited: 6
TRiP: a transfer learning based rice disease phenotype recognition platform using SENet and microservices
Peisen Yuan, Ye Xia, Yongchao Tian, et al.
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 4
Fuzzy EfficientDet: An Approach for Precise Detection of Larch Infestation Severity in UAV Imagery Under Dynamic Environmental Conditions
Shuo Yang, Jingbin Li, Yang Li, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 8810-8822
Open Access | Times Cited: 4
Ms-Cfa:Multi-Scale Coarse-to-Fine Attention is Used To Segment in Medical Ultrasound Images
Hao Yang, Lingfeng Wang, Wei Li, et al.
(2025)
Closed Access
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
YOLO-YSTs: An Improved YOLOv10n-Based Method for Real-Time Field Pest Detection
Yiqi Huang, Zhenhao Liu, Hongzhi Zhao, et al.
Agronomy (2025) Vol. 15, Iss. 3, pp. 575-575
Open Access
Developing YOLOv5s model with enhancement mechanisms for precision parts with irregular shapes
Lei Dong, Haojie Zhu, Hanpeng Ren, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103257-103257
Closed 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
A lightweight open-world pest image classifier using ResNet8-based matching network and NT-Xent loss function
Qingwen Guo, Chuntao Wang, Deqin Xiao, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121395-121395
Closed Access | Times Cited: 8
Improvement of the YOLOv5 Model in the Optimization of the Brown Spot Disease Recognition Algorithm of Kidney Bean
Pengyan Su, Hao Li, Xiaoyun Wang, et al.
Plants (2023) Vol. 12, Iss. 21, pp. 3765-3765
Open Access | Times Cited: 8
TeaDiseaseNet: multi-scale self-attentive tea disease detection
Yange Sun, Fei Wu, Huaping Guo, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 7
A Lightweight Rice Pest Detection Algorithm Using Improved Attention Mechanism and YOLOv8
Jianjun Yin, Pengfei Huang, Deqin Xiao, et al.
Agriculture (2024) Vol. 14, Iss. 7, pp. 1052-1052
Open Access | Times Cited: 2
Noninvasive system for weight estimation in cactus crops: A YOLOv5-decision tree approach based on interval type-2 fuzzy sets
José L. Rodríguez-Álvarez, Jorge Luis García-Alcaráz, Rita Puig, et al.
Chemometrics and Intelligent Laboratory Systems (2024) Vol. 245, pp. 105064-105064
Closed Access | Times Cited: 1
Mobile-CANet: a new high-precision and lightweight method for rice pest classification
Junyu Wei, Yuxin Wang, Xinrui Wu, et al.
International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021) (2024)
Closed Access | Times Cited: 1
SM-CycleGAN: crop image data enhancement method based on self-attention mechanism CycleGAN
Dian Liu, Yang Cao, Jing Yang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Impact of remote sensing data fusion on agriculture applications: A review
Ayyappa Reddy Allu, Shashi Mesapam
European Journal of Agronomy (2024) Vol. 164, pp. 127478-127478
Closed Access | Times Cited: 1
A Novel Deep Learning Model for Accurate Pest Detection and Edge Computing Deployment
Huangyi Kang, Luxin Ai, Zengyi Zhen, et al.
Insects (2023) Vol. 14, Iss. 7, pp. 660-660
Open Access | Times Cited: 4
Research on Soybean Seedling Stage Recognition Based on Swin Transformer
Kai Ma, Jinkai Qiu, Kang Ye, et al.
Agronomy (2024) Vol. 14, Iss. 11, pp. 2614-2614
Open Access
Deep learning-based rice pest detection research
Peng Xiong, Cong Zhang, Linfeng He, et al.
PLoS ONE (2024) Vol. 19, Iss. 11, pp. e0313387-e0313387
Open Access
Contrasting bean analysis system based on YOLOv5 and a neural network model using the interval type-2 fuzzy set approach
José L. Rodríguez-Álvarez, Jorge Luis García-Alcaráz, Rita Puig, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 30, pp. 18807-18824
Closed Access
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