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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 intelligent system for crop identification and classification from UAV images using conjugated dense convolutional neural network
Akshay Pandey, Kamal Jain
Computers and Electronics in Agriculture (2021) Vol. 192, pp. 106543-106543
Closed Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

A robust deep attention dense convolutional neural network for plant leaf disease identification and classification from smart phone captured real world images
Akshay Pandey, Kamal Jain
Ecological Informatics (2022) Vol. 70, pp. 101725-101725
Closed Access | Times Cited: 73
Plant image recognition with deep learning: A review
Huiling Chen, Yiqi Huang, Zizhao Zhang, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108072-108072
Closed Access | Times Cited: 50
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
MTS-CNN: Multi-task semantic segmentation-convolutional neural network for detecting crops and weeds
Yu Hwan Kim, Kang Ryoung Park
Computers and Electronics in Agriculture (2022) Vol. 199, pp. 107146-107146
Open Access | Times Cited: 47
Design of an intelligent bean cultivation approach using computer vision, IoT and spatio-temporal deep learning structures
N. Bharatha Devi, Kandarpa Kumar Sarma, Shakuntala Laskar
Ecological Informatics (2023) Vol. 75, pp. 102044-102044
Closed Access | Times Cited: 31
Leaf area index estimation of pergola-trained vineyards in arid regions using classical and deep learning methods based on UAV-based RGB images
Osman Ilniyaz, Qingyun Du, Huanfeng Shen, et al.
Computers and Electronics in Agriculture (2023) Vol. 207, pp. 107723-107723
Closed Access | Times Cited: 28
Deep Learning Models for the Classification of Crops in Aerial Imagery: A Review
Igor Teixeira, Raul Morais, Joaquim J. Sousa, et al.
Agriculture (2023) Vol. 13, Iss. 5, pp. 965-965
Open Access | Times Cited: 26
Progress in the Application of CNN-Based Image Classification and Recognition in Whole Crop Growth Cycles
Feng Yu, Qian Zhang, Jun Xiao, et al.
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 2988-2988
Open Access | Times Cited: 24
Deep-learning framework for optimal selection of soil sampling sites
Tan-Hanh Pham, Praneel Acharya, Sravanthi Bachina, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108650-108650
Open Access | Times Cited: 9
A novel metaheuristics with adaptive neuro-fuzzy inference system for decision making on autonomous unmanned aerial vehicle systems
Mahmoud Ragab, Ehab Bahaudien Ashary, Wajdi Aljedaibi, et al.
ISA Transactions (2022) Vol. 132, pp. 16-23
Open Access | Times Cited: 30
Smart Cybersecurity Framework for IoT-Empowered Drones: Machine Learning Perspective
Abdulaziz Aldaej, Tariq Ahamed Ahanger, Mohammed Atiquzzaman, et al.
Sensors (2022) Vol. 22, Iss. 7, pp. 2630-2630
Open Access | Times Cited: 29
Multi-level feature re-weighted fusion for the semantic segmentation of crops and weeds
Lamin L. Janneh, Yongjun Zhang, Zhongwei Cui, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 6, pp. 101545-101545
Open Access | Times Cited: 20
An automated, high-performance approach for detecting and characterizing broccoli based on UAV remote-sensing and transformers: A case study from Haining, China
Chengquan Zhou, Hongbao Ye, Dawei Sun, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 114, pp. 103055-103055
Open Access | Times Cited: 26
Potato Leaf Area Index Estimation Using Multi-Sensor Unmanned Aerial Vehicle (UAV) Imagery and Machine Learning
Tong Yu, Jing Zhou, Jiahao Fan, et al.
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4108-4108
Open Access | Times Cited: 15
Analysis of the scientific production on the implementation of artificial intelligence in precision agriculture
Verenice Sánchez Castillo
LatIA (2023) Vol. 1, pp. 1-1
Closed Access | Times Cited: 15
A proposed plant classification framework for smart agricultural applications using UAV images and artificial intelligence techniques
Shymaa G. Eladl, Amira Y. Haikal, Mahmoud M. Saafan, et al.
Alexandria Engineering Journal (2024) Vol. 109, pp. 466-481
Open Access | Times Cited: 5
Vegetation Extraction from UAV-based Aerial Images through Deep Learning
Tanmay Kumar Behera, Sambit Bakshi, Pankaj Kumar
Computers and Electronics in Agriculture (2022) Vol. 198, pp. 107094-107094
Closed Access | Times Cited: 22
Research on Precise Fertilization Method of Rice Tillering Stage Based on UAV Hyperspectral Remote Sensing Prescription Map
Fenghua Yu, Juchi Bai, Zhongyu Jin, et al.
Agronomy (2022) Vol. 12, Iss. 11, pp. 2893-2893
Open Access | Times Cited: 19
A review of deep learning-based approaches for defect detection in smart manufacturing
Zhitao Jia, Meng Wang, Shiming Zhao
Journal of Optics (2023) Vol. 53, Iss. 2, pp. 1345-1351
Closed Access | Times Cited: 12
Trajectory tracking control for quadrotor unmanned aerial vehicle with input delay and disturbances
Shuo Li, Na Duan, Huifang Min
Asian Journal of Control (2023) Vol. 26, Iss. 1, pp. 150-161
Closed Access | Times Cited: 11
A novel twin vision transformer framework for crop disease classification with deformable attention
Smitha Padshetty, Ambika
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107551-107551
Closed Access
Plantation Monitoring Using Drone Images: A Dataset and Performance Review
Yashwanth Karumanchi, G. Angeline Prasanna, Snehasis Mukherjee, et al.
(2025)
Closed Access
Systematic review on machine learning and computer vision in precision agriculture: Applications, trends, and emerging techniques
Yean‐Der Kuan, K. M. Goh, Lee‐Ling Lim
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110401-110401
Closed Access
Mapping of soil sampling sites using terrain and hydrological attributes
Tan-Hanh Pham, Kristopher Osterloh, Kim‐Doang Nguyen
Artificial Intelligence in Agriculture (2025)
Open Access
A Lightweight Deep Learning Architecture for Vegetation Segmentation using UAV-captured Aerial Images
Tanmay Kumar Behera, Sambit Bakshi, Pankaj Kumar
Sustainable Computing Informatics and Systems (2022) Vol. 37, pp. 100841-100841
Closed Access | Times Cited: 18
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