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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:

Effect of varying training epochs of a Faster Region-Based Convolutional Neural Network on the Accuracy of an Automatic Weed Classification Scheme
Oluibukun Gbenga Ajayi, John Ashi
Smart Agricultural Technology (2022) Vol. 3, pp. 100128-100128
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Performance evaluation of YOLO v5 model for automatic crop and weed classification on UAV images
Oluibukun Gbenga Ajayi, John Ashi, Blessed Guda
Smart Agricultural Technology (2023) Vol. 5, pp. 100231-100231
Open Access | Times Cited: 54
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: 42
Drones in vegetable crops: A systematic literature review
Marco Canicattì, Mariangela Vallone
Smart Agricultural Technology (2024) Vol. 7, pp. 100396-100396
Open Access | Times Cited: 23
Deep learning-based recognition of small maritime targets for obstacle avoidance in visual wave gliders
Weitao Ding, Huailiang Li, Chee–Meng Chew, et al.
Ocean Engineering (2025) Vol. 322, pp. 120471-120471
Closed Access | Times Cited: 2
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
A federated learning system with data fusion for healthcare using multi-party computation and additive secret sharing
Tasiu Muazu, Yingchi Mao, Abdullahi Uwaisu Muhammad, et al.
Computer Communications (2024) Vol. 216, pp. 168-182
Closed Access | Times Cited: 12
Advanced drone-based weed detection using feature-enriched deep learning approach
Mobeen Ur Rehman, Hassan Eesaar, Zeeshan Abbas, et al.
Knowledge-Based Systems (2024), pp. 112655-112655
Open Access | Times Cited: 12
Development of a Detection System for Types of Weeds in Maize (Zea mays L.) under Greenhouse Conditions Using the YOLOv5 v7.0 Model
Oscar Leonardo García-Navarrete, O. Santamaría, Pablo Martín‐Ramos, et al.
Agriculture (2024) Vol. 14, Iss. 2, pp. 286-286
Open Access | Times Cited: 9
Machine learning meets process control: Unveiling the potential of LSTMc
Niranjan Sitapure, Joseph Sang‐Il Kwon
AIChE Journal (2024) Vol. 70, Iss. 7
Open Access | Times Cited: 9
Enhanced Deep Learning Model for Apple Detection, Localization, and Counting in Complex Orchards for Robotic Arm–Based Harvesting
Tantan Jin, Xiongzhe Han, Ping‐An Wang, et al.
Smart Agricultural Technology (2025) Vol. 10, pp. 100784-100784
Open Access | Times Cited: 1
Evaluation of YOLOv5 Models for Weed Classification in Crops Maize (Zea Mays L.)
Oscar Leonardo García-Navarrete, Ádela Fábregas García, Luis Manuel Navas Gracia
Springer tracts in nature-inspired computing (2025), pp. 183-209
Closed Access | Times Cited: 1
Application of Convolutional Neural Networks in Weed Detection and Identification: A Systematic Review.
Oscar Leonardo García-Navarrete, Adriana Corrêa-Guimarães, Luis Manuel Navas Gracia
(2024)
Open Access | Times Cited: 8
Application of Convolutional Neural Networks in Weed Detection and Identification: A Systematic Review
Oscar Leonardo García-Navarrete, Adriana Corrêa-Guimarães, Luis Manuel Navas Gracia
Agriculture (2024) Vol. 14, Iss. 4, pp. 568-568
Open Access | Times Cited: 5
Effect of Hyperparameter Tuning on the Performance of YOLOv8 for Multi Crop Classification on UAV Images
Oluibukun Gbenga Ajayi, Pius Onoja Ibrahim, Oluwadamilare Samuel Adegboyega
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5708-5708
Open 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
Drone-Assisted Plant Disease Identification Using Artificial Intelligence: A Critical Review
Hicham Slimani, Jamal El Mhamdi, Abdelilah Jilbab
International Journal of Computing and Digital Systems (2023) Vol. 14, Iss. 1, pp. 10433-10446
Open Access | Times Cited: 12
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: 11
Optimizing Deep Learning Models for Climate-Related Natural Disaster Detection from UAV Images and Remote Sensing Data
Kim VanExel, Samendra P. Sherchan, Siyan Liu
Journal of Imaging (2025) Vol. 11, Iss. 2, pp. 32-32
Open Access
Enhancing Face Recognition Model Performance Through HyperStyle‐Driven Data Augmentation
Muhammad Chaidir, Taufik Fuadi Abidin, Hizir Sofyan, et al.
Applied Computational Intelligence and Soft Computing (2025) Vol. 2025, Iss. 1
Open Access
Effect of training sample size, image resolution and epochs on filamentous and floc-forming bacteria classification using machine learning
Sama Alani, Hui Guo, Sheila Fyfe, et al.
Journal of Environmental Management (2025) Vol. 379, pp. 124803-124803
Open Access
Optimizing Product Quality Prediction in Smart Manufacturing Through Parameter Transfer Learning: A Case Study in Hard Disk Drive Manufacturing
Somyot Kaitwanidvilai, Chaiwat Sittisombut, Yu Huang, et al.
Processes (2025) Vol. 13, Iss. 4, pp. 962-962
Open Access
Enhanced Prediction of Soil Carbon via Encoder-Decoder Neural Networks for a Boreal Study Area in Northern Ontario
Rory Pittman, Baoxin Hu
Sensors (2025) Vol. 25, Iss. 8, pp. 2583-2583
Open Access
Challenges of Digital Solutions in Sugarcane Crop Production: A Review
José Paulo Molin, Marcelo Chan Fu Wei, Eudocio Rafael Otavio da Silva
AgriEngineering (2024) Vol. 6, Iss. 2, pp. 925-946
Open Access | Times Cited: 3
Advancing agriculture with machine learning: a new frontier in weed management
Mohammad Mehdizadeh, Duraid K. A. Al-Taey, Anahita Omidi, et al.
Frontiers of Agricultural Science and Engineering (2024)
Open Access | Times Cited: 3
Optimizing crop classification in precision agriculture using AlexNet and high resolution UAV imagery
Oluibukun Gbenga Ajayi, Elisha Iwendi, Oluwatobi Olalekan Adetunji
Technology in Agronomy (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 2
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