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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:

Faster-PestNet: A Lightweight Deep Learning Framework for Crop Pest Detection and Classification
Farooq Ali, Huma Qayyum, Muhammad Iqbal
IEEE Access (2023) Vol. 11, pp. 104016-104027
Open Access | Times Cited: 21

Showing 21 citing articles:

Heterogeneous features and deep learning networks fusion-based pest detection, prevention and controlling system using IoT and pest sound analytics in a vast agriculture system
Md. Akkas Ali, Anupam Kumar Sharma, Rajesh Kumar Dhanaraj
Computers & Electrical Engineering (2024) Vol. 116, pp. 109146-109146
Closed Access | Times Cited: 10
Resource constraint crop damage classification using depth channel shuffling
Md. Tanvir Islam, Safkat Shahrier Swapnil, Md Mashum Billal, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110117-110117
Closed Access
Algorithms for Plant Monitoring Applications: A Comprehensive Review
Giovanni Paolo Colucci, Paola Battilani, Marco Camardo Leggieri, et al.
Algorithms (2025) Vol. 18, Iss. 2, pp. 84-84
Open Access
An Efficient Ground-aerial Transportation System for Pest Control Enabled by AI-based Autonomous Nano-UAVs
Luca Crupi, Luca Butera, Alberto Ferrante, et al.
ACM Journal on Autonomous Transportation Systems (2025)
Open Access
Real-Time and Lightweight Object Detection Method for Field Pest Monitoring Systems
Kai Qi, Xinghao Li, Fuhao Yang, et al.
(2025)
Closed Access
Deep learning for recognition and detection of plant diseases and pests
Xiang Yue, Kai Qi, Xinyi Na, et al.
Neural Computing and Applications (2025)
Closed Access
AI-Enabled Crop Management Framework for Pest Detection Using Visual Sensor Data
Asma Khan, Sharaf J. Malebary, L. Minh Dang, et al.
Plants (2024) Vol. 13, Iss. 5, pp. 653-653
Open Access | Times Cited: 4
Multi-Features and Multi-Deep Learning Networks to identify, prevent and control pests in tremendous farm fields combining IoT and pests sound analysis
Md. Akkas Ali, Anupam Kumar Sharma, Rajesh Kumar Dhanaraj
(2024)
Closed Access | Times Cited: 2
Insect Pest Trap Development and DL-Based Pest Detection: A Comprehensive Review
Athanasios Passias, Κάρολος-Αλέξανδρος Τσάκαλος, Nick Rigogiannis, et al.
IEEE Transactions on AgriFood Electronics (2024) Vol. 2, Iss. 2, pp. 323-334
Closed Access | Times Cited: 2
Innovative Insect Detection and Classification for the Agricultural Sector Using Gannet Optimization Algorithm With Deep Learning
Eman A. Al-Shahari, Ghadah Aldehim, Nabil Sharaf Almalki, et al.
IEEE Access (2024) Vol. 12, pp. 108041-108051
Open Access | Times Cited: 1
A Critical Analysis of Deep Learning Applications in Crop Pest Classification: Promising Pathways and Limitations
Mohtasim Hadi Rafi, Mohammad Ratul Mahjabin, Md Sabbir Rahman, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2
Enhancing crop health using deep learning techniques
Sai Sahithi Kosaraju, Manjusha Sunkara, Gaurav Kumar, et al.
(2024), pp. 1-7
Closed Access
Deep Transfer Learning based Light-weight Agricultural Pest Classification Model using Convolutional Neural Networks
Aarya Bhatt, Dharm Patel, Vatsal Ajmeri, et al.
2022 International Conference on Inventive Computation Technologies (ICICT) (2024)
Closed Access
A Lightweight Tea Pest Detection Algorithm Based on Improved YOLOv8: YOLO-SEM
Rong Ye, Guoqi Shao, Tong Li
(2024), pp. 52-61
Closed Access
A Deep Learning-based Pest Insect Monitoring System for Ultra-low Power Pocket-sized Drones
Luca Crupi, Luca Butera, Alberto Ferrante, et al.
(2024), pp. 323-330
Open Access
Bio-DETR: A Transformer-based Network for Pest and Seed Detection with Hyperspectral Images
Yang Di, Son Lam Phung, Julian Van Den Berg, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 1, pp. 1-8
Closed Access
An intellectual model of pest detection and classification using enhanced optimization-assisted single shot detector and graph attention network
Kapil Vhatkar
Evolutionary Intelligence (2024) Vol. 18, Iss. 1
Closed Access
Shuffle-PG: Lightweight feature extraction model for retrieving images of plant diseases and pests with deep metric learning
Jin Dong, Helin Yin, Yeong Hyeon Gu
Alexandria Engineering Journal (2024) Vol. 113, pp. 138-149
Open Access
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
An effective segmentation and attention‐based reptile residual capsule auto encoder for pest classification
Nagaveni Biradar, Girisha Hosalli
Pest Management Science (2024) Vol. 80, Iss. 8, pp. 3815-3828
Closed Access
Real-Time and Lightweight Object Detection Method for Field Pest Monitoring Systems
Xiang Yue, Kai Qi, Fuhao Yang, et al.
(2024)
Closed Access
Heterogeneous Features and Deep Learning Networks Fusion-Based Pest Detection, Prevention and Controlling System Using Iot and Pest Sound Analytics in a Wide Agriculture System
Md. Akkas Ali, Anupam Kumar Sharma, Rajesh Kumar Dhanaraj
(2023)
Closed Access
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