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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:

Instance segmentation method for weed detection using UAV imagery in soybean fields
Beibei Xu, Jiahao Fan, Jun Chao, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 107994-107994
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

A Review of CNN Applications in Smart Agriculture Using Multimodal Data
Mohammad El Sakka, Mihai Ivanovici, Lotfi Chaâri, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 472-472
Open Access | Times Cited: 3
Transforming weed management in sustainable agriculture with artificial intelligence: A systematic literature review towards weed identification and deep learning
Marios Vasileiou, Leonidas Sotirios Kyrgiakos, Christina Kleisiari, et al.
Crop Protection (2023) Vol. 176, pp. 106522-106522
Open Access | Times Cited: 38
Deep Learning-Based Weed Detection Using UAV Images: A Comparative Study
Tej Bahadur Shahi, Sweekar Dahal, Chiranjibi Sitaula, et al.
Drones (2023) Vol. 7, Iss. 10, pp. 624-624
Open Access | Times Cited: 24
Evaluating the Efficacy of Segment Anything Model for Delineating Agriculture and Urban Green Spaces in Multiresolution Aerial and Spaceborne Remote Sensing Images
Baoling Gui, Anshuman Bhardwaj, Lydia Sam
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 414-414
Open Access | Times Cited: 14
A Lightweight and Dynamic Feature Aggregation Method for Cotton Field Weed Detection Based on Enhanced YOLOv8
Doudou Ren, Wenzhong Yang, Zhifeng Lu, et al.
Electronics (2024) Vol. 13, Iss. 11, pp. 2105-2105
Open Access | Times Cited: 6
Advancements of UAV and Deep Learning Technologies for Weed Management in Farmland
Jinmeng Zhang, Yu Feng, Qian Zhang, et al.
Agronomy (2024) Vol. 14, Iss. 3, pp. 494-494
Open Access | Times Cited: 5
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: 5
A survey of unmanned aerial vehicles and deep learning in precision agriculture
Dashuai Wang, Minghu Zhao, Zhuolin Li, et al.
European Journal of Agronomy (2024) Vol. 164, pp. 127477-127477
Closed Access | Times Cited: 5
Exploring the Potential of Remote Sensing to Facilitate Integrated Weed Management in Smallholder Farms: A Scoping Review
Shaeden Gokool, Maqsooda Mahomed, Alistair Clulow, et al.
Drones (2024) Vol. 8, Iss. 3, pp. 81-81
Open Access | Times Cited: 4
Improved Weed Detection in Cotton Fields Using Enhanced YOLOv8s with Modified Feature Extraction Modules
Doudou Ren, Wenzhong Yang, Zhifeng Lu, et al.
Symmetry (2024) Vol. 16, Iss. 4, pp. 450-450
Open Access | Times Cited: 4
Multi-species weed detection and variable spraying system for farmland based on W-YOLOv5
Yanlei Xu, Yukun Bai, Daping Fu, et al.
Crop Protection (2024) Vol. 182, pp. 106720-106720
Closed Access | Times Cited: 4
MSEA-Net: Multi-Scale and Edge-Aware Network for Weed Segmentation
Azhar Hussain Quadri Syed, Baifan Chen, Adeel Abbasi, et al.
AgriEngineering (2025) Vol. 7, Iss. 4, pp. 103-103
Open Access
Spatial Resolution as a Factor for Efficient UAV-Based Weed Mapping—A Soybean Field Case Study
Niklas Ubben, Maren Pukrop, Thomas Jarmer
Remote Sensing (2024) Vol. 16, Iss. 10, pp. 1778-1778
Open Access | Times Cited: 3
Detection of tea leaf blight in UAV remote sensing images by integrating super-resolution and detection networks
Yongcheng Jiang, Zijing Wei, Gensheng Hu
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 11
Closed Access | Times Cited: 3
Weed–Crop Segmentation in Drone Images with a Novel Encoder–Decoder Framework Enhanced via Attention Modules
Sultan Daud Khan, Saleh Basalamah, Ahmed Lbath
Remote Sensing (2023) Vol. 15, Iss. 23, pp. 5615-5615
Open Access | Times Cited: 8
Class‐specific data augmentation for plant stress classification
Nasla Saleem, Aditya Balu, Talukder Z. Jubery, et al.
The Plant Phenome Journal (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2
An Improved Instance Segmentation Method for Complex Elements of Farm UAV Aerial Survey Images
Feixiang Lv, Taihong Zhang, Yunjie Zhao, et al.
Sensors (2024) Vol. 24, Iss. 18, pp. 5990-5990
Open Access | Times Cited: 2
AI-based autonomous UAV swarm system for weed detection and treatment: Enhancing organic orange orchard efficiency with agriculture 5.0
Paula Catala-Roman, Jaume Segura-García, Esther Dura, et al.
Internet of Things (2024) Vol. 28, pp. 101418-101418
Open Access | Times Cited: 2
Artificial Intelligence Applied to Support Agronomic Decisions for the Automatic Aerial Analysis Images Captured by UAV: A Systematic Review
Josef Augusto Oberdan Souza Silva, Vilson Soares de Siqueira, Márcio Mesquita, et al.
Agronomy (2024) Vol. 14, Iss. 11, pp. 2697-2697
Open Access | Times Cited: 2
Method for Segmentation of Bean Crop and Weeds Based on Improved UperNet
Mingyang Qi, Haozhang Gao, Tete Wang, et al.
IEEE Access (2023) Vol. 11, pp. 143804-143814
Open Access | Times Cited: 4
Ensemble Transfer Learning using MaizeSet: A Dataset for Weed and Maize Crop Recognition at Different Growth Stages
Zeynep Dilan Daşkın, Muhammad Shahab Alam, Muhammad Umer Khan
Crop Protection (2024) Vol. 184, pp. 106849-106849
Closed Access | Times Cited: 1
Low-Cost Lettuce Height Measurement Based on Depth Vision and Lightweight Instance Segmentation Model
Yiqiu Zhao, Xiaodong Zhang, Jingjing Sun, et al.
Agriculture (2024) Vol. 14, Iss. 9, pp. 1596-1596
Open Access | Times Cited: 1
A Systematic Review of UAV and AI Integration for Targeted Disease Detection, Weed Management, and Pest Control in Precision Agriculture
Iftekhar Anam, N H M Arafat, Md Sadman Hafiz, et al.
Smart Agricultural Technology (2024) Vol. 9, pp. 100647-100647
Open Access | Times Cited: 1
Design and Testing of an autonomous laser weeding robot for strawberry fields based on DIN-LW-YOLO
Peng Zhao, Junlin Chen, Jiahao Li, et al.
Computers and Electronics in Agriculture (2024) Vol. 229, pp. 109808-109808
Closed Access | Times Cited: 1
A Smart Innovative Pre-Trained Model-Based QDM for Weed Detection in Soybean Fields
B. Gunapriya, Arunadevi Thirumalraj, V. S. Anusuya, et al.
Advances in IT personnel and project management (2024), pp. 262-285
Closed Access
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