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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:

An Optimized YOLO v5 Model for Tomato Leaf Disease Classification with Field Dataset
Rajasree Rajamohanan, B. Latha
Engineering Technology & Applied Science Research (2023) Vol. 13, Iss. 6, pp. 12033-12038
Open Access | Times Cited: 23

Showing 23 citing articles:

Deep Learning for Tomato Disease Detection with YOLOv8
Hafedh Mahmoud Zayani, I. Ben Ammar, Refka Ghodhbani, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 2, pp. 13584-13591
Open Access | Times Cited: 12
Improved Tomato Disease Detection with YOLOv5 and YOLOv8
Rabie Ahmed, Eman H. Abd-Elkawy
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 3, pp. 13922-13928
Open Access | Times Cited: 10
Two Proposed Models for Face Recognition: Achieving High Accuracy and Speed with Artificial Intelligence
Hind Moutaz Al-Dabbas, Raghad Abdulaali Azeez, Akbas Ezaldeen Ali
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 2, pp. 13706-13713
Open Access | Times Cited: 8
Hardware Acceleration for Object Detection using YOLOv5 Deep Learning Algorithm on Xilinx Zynq FPGA Platform
Taoufik Saidani, Refka Ghodhbani, Ahmed Alhomoud, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 1, pp. 13066-13071
Open Access | Times Cited: 7
Comparison of YOLOv5 and YOLOv6 Models for Plant Leaf Disease Detection
Ecem Iren
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 2, pp. 13714-13719
Open Access | Times Cited: 6
Real-Time Inspection of Fire Safety Equipment using Computer Vision and Deep Learning
Asmaa Alayed, Rehab Alidrisi, Ekram Feras, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 2, pp. 13290-13298
Open Access | Times Cited: 6
Biotic Stress Classification of Pear Leaves Diseases Using Stacking Ensemble Approaches
C Sugunadevi, Rimjhim Padam Singh, B. Uma Maheswari
Communications in computer and information science (2025), pp. 232-245
Closed Access
Comparative Evaluation of YOLO Models on an African Road Obstacles Dataset for Real-Time Obstacle Detection
Pison Mutabarura, Nicasio Maguu Muchuka, Davies Segera
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 1, pp. 19045-19051
Open Access
Integration of Deep Learning with Fox Optimization Algorithm for Early Detection and Classification of Tomato Leaf and Fruit Diseases
K. Sundaramoorthi, M. Kamarasan
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 1, pp. 19343-19348
Open Access
A Transformer-Based Detection Network for Precision Cistanche Pest and Disease Management in Smart Agriculture
Hang Zhang, Zi-Xing Gong, Chen Hu, et al.
Plants (2025) Vol. 14, Iss. 4, pp. 499-499
Open Access
Integrating AI detection and language models for real-time pest management in Tomato cultivation
Yavuz Selim Şahin, Nimet Sema Gençer, Hasan Şahin
Frontiers in Plant Science (2025) Vol. 15
Open Access
AI‐Powered Precision in Diagnosing Tomato Leaf Diseases
MD Jiabul Hoque, Md. Saiful Islam, Md. Khaliluzzaman
Complexity (2025) Vol. 2025, Iss. 1
Open Access
A Children's Psychological and Mental Health Detection Model by Drawing Analysis based on Computer Vision and Deep Learning
Amal Alshahrani, Manar Mohammed Almatrafi, Jenan Ibrahim Mustafa, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 4, pp. 15533-15540
Open Access | Times Cited: 1
Optimizing Edge AI for Tomato Leaf Disease Identification
Anitha Gatla, S. R. V. Prasad Reddy, D. Mândru, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 4, pp. 16061-16068
Open Access | Times Cited: 1
Detection and Classification of Railway Track Surface Erosion-caused Holes and Scratches Defects Based on YOLOv5s

Tehnicki vjesnik - Technical Gazette (2024) Vol. 31, Iss. 4
Open Access
Maize Leaf Disease Detection using Manta-Ray Foraging Optimization with Deep Learning Model
S. Vimalkumar, R.S. Latha
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 5, pp. 17068-17074
Open Access
Precised Cashew Classification Using Machine Learning
Sowmya Nag Karnam, Veenadevi Siddanahundi Vaddagallaiah, Pradeep Kooganahalli Rangnaik, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 5, pp. 17414-17421
Open Access
A Machine Learning Approach to Reduce Latency in Edge Computing for IoT Devices
Muddassar Ali, Hamayun Khan, Muhammad Tausif Afzal Rana, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 5, pp. 16751-16756
Open Access
Deep learning networks-based tomato disease and pest detection: a first review of research studies using real field datasets
Mohieddine Jelali
Frontiers in Plant Science (2024) Vol. 15
Open Access
Optimization Analysis of Soybean Microwave Vacuum Drying Process Based on Improved Yolo V5s Algorithm
Shengxian Li, Haoyu Li
Sustainable civil infrastructures (2024), pp. 727-736
Closed Access
Crop Quality Prediction with GPU-DLCQPA: Comparing Deep Learning and Traditional Machine Learning Techniques
Srinivasa Rao Alapati, Aravintha Prasad, Guduri Padma Rao, et al.
(2024), pp. 1-7
Closed Access
Detection of Unsafe Behavior in conveying Vehicle Parts using Computer Vision
Carlos Eduardo Vazquez-Monjaras, Leonor Adriana Cárdenas-Robledo, Carolina Reta
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 4, pp. 15062-15067
Open Access
Estimating TYLCV resistance level using RGBD sensors in production greenhouse conditions
Dorin Shmaryahu, Rotem Lev Lehman, Edna Peleg, et al.
Artificial Intelligence in Agriculture (2024)
Open Access
YOLO deep learning algorithm for object detection in agriculture: a review
S. Kanaga Suba Raja, R. Kumaraperumal, P Pazhanivelan, et al.
Journal of Agricultural Engineering (2024) Vol. 55, Iss. 4
Open Access
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