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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:

Performance evaluation of deep learning object detectors for weed detection for cotton
Abdur Rahman, Yuzhen Lu, Haifeng Wang
Smart Agricultural Technology (2022) Vol. 3, pp. 100126-100126
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

UAV-based weed detection in Chinese cabbage using deep learning
Pauline Ong, Kiat Soon Teo, Sia Chee Kiong
Smart Agricultural Technology (2023) Vol. 4, pp. 100181-100181
Open Access | Times Cited: 48
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
A comprehensive survey on weed and crop classification using machine learning and deep learning
Faisal Dharma Adhinata, Wahyono Wahyono, Raden Sumiharto
Artificial Intelligence in Agriculture (2024) Vol. 13, pp. 45-63
Open Access | Times Cited: 15
Development of an early detection and automatic targeting system for cotton weeds using an improved lightweight YOLOv8 architecture on an edge device
Md. Jawadul Karim, Md. Nahiduzzaman, Mominul Ahsan, et al.
Knowledge-Based Systems (2024) Vol. 300, pp. 112204-112204
Open Access | Times Cited: 9
Emerging Developments in Real-Time Edge AIoT for Agricultural Image Classification
Maurizio Pintus, Felice Colucci, Fabio Maggio
IoT (2025) Vol. 6, Iss. 1, pp. 13-13
Open Access | Times Cited: 1
YOLO-ACE: Enhancing YOLO with Augmented Contextual Efficiency for Precision Cotton Weed Detection
Qi Zhou, Huicheng Li, Zhiling Cai, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1635-1635
Open Access | Times Cited: 1
Performance evaluation of semi-supervised learning frameworks for multi-class weed detection
Jiajia Li, Dong Chen, Xunyuan Yin, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 7
Field-based multispecies weed and crop detection using ground robots and advanced YOLO models: A data and model-centric approach
G C Sunil, Arjun Upadhyay, Yu Zhang, et al.
Smart Agricultural Technology (2024) Vol. 9, pp. 100538-100538
Open Access | Times Cited: 6
CottonWeeds: Empowering precision weed management through deep learning and comprehensive dataset
Puneet Saini, D. S. Nagesh
Crop Protection (2024) Vol. 181, pp. 106675-106675
Closed Access | Times Cited: 5
Advancing Precision Agriculture: Enhanced Weed Detection Using the Optimized YOLOv8T Model
Shubham Sharma, Manu Vardhan
Arabian Journal for Science and Engineering (2024)
Closed Access | Times Cited: 5
An Efficient Real-Time Weed Detection Technique using YOLOv7
Ch. Lakshmi Narayana, Kondapalli Venkata Ramana
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 2
Open Access | Times Cited: 12
Weed detection and classification in sesame crops using region-based convolution neural networks
Nenavath Srinivas Naik, Harshit Kumar Chaubey
Neural Computing and Applications (2024) Vol. 36, Iss. 30, pp. 18961-18977
Closed Access | Times Cited: 4
Detection of Cotton Diseases by YOLOv8 on UAV Images Using the RT-DETR Backbone
Zakaria Kinda, Sadouanouan Malo, Thierry Roger Bayala
Lecture notes in networks and systems (2025), pp. 3-13
Closed Access
Deep learning‐based weed detection for precision herbicide application in turf
Xiaojun Jin, Hua Zhao, Xiaotong Kong, et al.
Pest Management Science (2025)
Open Access
Autonomous Agricultural Robot Using YOLOv8 and ByteTrack for Weed Detection and Destruction
Ardin Bajraktari, Hayrettin Toylan
Machines (2025) Vol. 13, Iss. 3, pp. 219-219
Open Access
Weed detection in cotton farming by YOLOv5 and YOLOv8 object detectors
Aditya Kamalakar Kanade, M. P. Potdar, Aravinda Kumar, et al.
European Journal of Agronomy (2025) Vol. 168, pp. 127617-127617
Closed Access
Intelligent weed management using aerial image processing and precision herbicide spraying: An overview
Armin Ehrampoosh, Pushpika Hettiarachchi, Anand Koirala, et al.
Crop Protection (2025), pp. 107206-107206
Open Access
Deep learning-based target spraying control of weeds in wheat fields at tillering stage
Haiying Wang, Yu Chen, Shuo Zhang, et al.
Frontiers in Plant Science (2025) Vol. 16
Open Access
Detection of External Defects of Tomato Crop Using Appearance Parameters by Convolutional Neural Networks
Nima Noorali, Ali Rajabipour, Hamed Sardari, et al.
Future Foods (2025), pp. 100611-100611
Open Access
Deep learning-based object detection model for location and recognition of weeds in cereal fields using colour imagery
Hossein Akhtari, Hossein Navid, Hadi Karimi, et al.
Crop and Pasture Science (2025) Vol. 76, Iss. 4
Closed Access
A review of deep learning applications in weed detection: UAV and robotic approaches for precision agriculture
Puneet Saini, D. S. Nagesh
European Journal of Agronomy (2025) Vol. 168, pp. 127652-127652
Closed Access
Detecting Cassava Plants under Different Field Conditions Using UAV-Based RGB Images and Deep Learning Models
Emmanuel C. Nnadozie, Ogechukwu N. Iloanusi, Ozoemena Anthony Ani, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2322-2322
Open Access | Times Cited: 10
Top-tuning on transformers and data augmentation transferring for boosting the performance of weed identification
Borja Espejo-García, Hercules Panoutsopoulos, Evangelos Anastasiou, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 108055-108055
Closed Access | Times Cited: 10
Weed detection using deep learning in complex and highly occluded potato field environment
Rajni Goyal, Amar Nath, Utkarsh Niranjan
Crop Protection (2024) Vol. 187, pp. 106948-106948
Closed Access | Times Cited: 3
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