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:

A survey on deep learning-based identification of plant and crop diseases from UAV-based aerial images
Abdelmalek Bouguettaya, Hafed Zarzour, Ahmed Kechida, et al.
Cluster Computing (2022) Vol. 26, Iss. 2, pp. 1297-1317
Open Access | Times Cited: 85

Showing 51-75 of 85 citing articles:

In-depth review of AI-enabled unmanned aerial vehicles: trends, vision, and challenges
Osim Kumar Pal, Md Sakib Hossain Shovon, M. F. Mridha, et al.
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 1

High-resolution UAV-based blueberry scorch virus mapping utilizing a deep vision transformer algorithm
Ali Jamali, Bing Lu, Eric M. Gerbrandt, et al.
Computers and Electronics in Agriculture (2024) Vol. 229, pp. 109726-109726
Open Access | Times Cited: 1

HAM-Transformer: A Hybrid Adaptive Multi-Scaled Transformer Net for Remote Sensing in Complex Scenes
Keying Ren, Xiaoyan Chen, Zichen Wang, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4817-4817
Open Access | Times Cited: 4

Overcoming Domain Shift in Neural Networks for Accurate Plant Counting in Aerial Images
Javier Rodríguez-Vázquez, Miguel Fernández-Cortizas, David Pérez-Saura, et al.
(2023)
Open Access | Times Cited: 3

Overcoming Domain Shift in Neural Networks for Accurate Plant Counting in Aerial Images
Javier Rodríguez-Vázquez, Miguel Fernández-Cortizas, David Pérez-Saura, et al.
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1700-1700
Open Access | Times Cited: 2

Comparative Analysis on Deep Learning Models for Detection of Anomalies and Leaf Disease Prediction in Cotton Plant Data
Nenavath Chander, M. Upendra Kumar
Lecture notes in networks and systems (2023), pp. 263-273
Closed Access | Times Cited: 2

Agricultura 4.0: uso de tecnológicas de precisión y aplicación para pequeños productores
Ana Delfina Tovar-Quiroz
Informador Técnico (2023) Vol. 87, Iss. 2
Open Access | Times Cited: 2

Machine Learning for Precise Rice Variety Classification in Tropical Environments Using UAV-Based Multispectral Sensing
Arif Kurnia Wijayanto, Ahmad Junaedi, Azwar Azmillah Sujaswara, et al.
AgriEngineering (2023) Vol. 5, Iss. 4, pp. 2000-2019
Open Access | Times Cited: 2

Feasibility of Detecting Sweet Potato (Ipomoea batatas) Virus Disease from High-Resolution Imagery in the Field Using a Deep Learning Framework
Fanguo Zeng, Ziyu Ding, Qingkui Song, et al.
Agronomy (2023) Vol. 13, Iss. 11, pp. 2801-2801
Open Access | Times Cited: 2

Optimizing olive disease classification through transfer learning with unmanned aerial vehicle imagery
El Mehdi Raouhi, Mohamed Lachgar, Hamid Hrimech, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2023) Vol. 14, Iss. 1, pp. 891-891
Open Access | Times Cited: 2

Plant Disease Recognition Using Machine Learning and Deep Learning Classifiers
Deepak Kumar, Sonam Gupta, Pradeep Gupta
Communications in computer and information science (2024), pp. 3-14
Closed Access

Tổng quan về ứng dụng của thiết bị bay không người lái trong canh tác trên đồng ruộng
Phùng Trường Trinh, Ha Duc Chu, Phạm Minh Triển
Tạp chí Khoa học và Công nghệ Lâm nghiệp (2024) Vol. 13, Iss. 2, pp. 112-122
Open Access

Bacterial-Fungicidal Vine Disease Detection with Proximal Aerial Images
Delia Elena Székely, Darius Dobra, Alexandra Elena Dobre, et al.
(2024)
Closed Access

Enlightening Plant Leaf Identification through 2D CNNs with Dual Attention Mechanism
P Thangamariappan, T S Nigalya, G. Suruthi, et al.
(2024), pp. 1-6
Closed Access

Close Proximity Aerial Image for Precision Viticulture. A Review
Szilárd Molnár, Levente Tamás
(2024)
Closed Access

Recurrent Neural Network-Based Classification of Potato Leaves using RGB Images
Apoorva Sharma, Avni Sharma
(2024) Vol. 2, pp. 486-491
Closed Access

Drone Based Crop Disease Detection Using ML
R. Sagar, B. Arthi, Priyanka Prasad, et al.
(2024) Vol. 9, pp. 1-8
Closed Access

Environmentally adaptive fast object detection in UAV images
Mengmei Sang, Shengwei Tian, Long Yu, et al.
Image and Vision Computing (2024) Vol. 148, pp. 105103-105103
Closed Access

A Survey on Deep Learning Approaches for Crop Disease Analysis in Precision Agriculture
S. Praveen Kumar, Yunbo Rao
Turkish Journal of Computer and Mathematics Education (TURCOMAT). (2024) Vol. 15, Iss. 1, pp. 242-253
Open Access

OnionFoliageSET: Labeled dataset for small onion and foliage flower crop detection
Juan Felipe Restrepo-Arias, John W. Branch, Paulina Arregocés-Guerra
Data in Brief (2024) Vol. 55, pp. 110679-110679
Open Access

State-of-the-Art Deep Learning Algorithms for Internet of Things-Based Detection of Crop Pests and Diseases: A Comprehensive Review
Nyakuri Jean Pierre, Celestin Nkundineza, Omar Gatera, et al.
IEEE Access (2024) Vol. 12, pp. 169824-169849
Open Access

Enhancing Small Target Detection in Aerial Imagery with Bi-PAN-FPN and EDMOA-Optimized YOLOv8-s
Sarojini Yarramsetti, D. Rasi, Srikanth Mylapalli P, et al.
Journal of Machine and Computing (2024), pp. 908-917
Open Access

Next‐Gen Crop Monitoring: MTEG‐RTU Algorithm and UAV Synergy for Precise Disease Diagnosis
S Hemalatha, Jai Jaganath Babu Jayachandran
Journal of Chemometrics (2024) Vol. 38, Iss. 12
Closed Access

ICGM-YOLO: UAV remote sensing small target detection algorithm based on feature fusion enhancement module and ghost convolution
Hongbin Zhang, Jingmin Yang, Wenjie Zhang, et al.
Physica Scripta (2024) Vol. 99, Iss. 12, pp. 125036-125036
Closed Access

Challenges and opportunities in Machine learning for bioenergy crop yield Prediction: A review
Joseph Lepnaan Dayil, Olugbenga Akande, Alaa El Din Mahmoud, et al.
Sustainable Energy Technologies and Assessments (2024) Vol. 73, pp. 104057-104057
Closed Access

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