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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:

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 1-25 of 85 citing articles:

UAV-YOLOv8: A Small-Object-Detection Model Based on Improved YOLOv8 for UAV Aerial Photography Scenarios
Gang Wang, Yanfei Chen, Pei An, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7190-7190
Open Access | Times Cited: 328
Recent Advances in Crop Disease Detection Using UAV and Deep Learning Techniques
Tej Bahadur Shahi, Cheng‐Yuan Xu, Arjun Neupane, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2450-2450
Open Access | Times Cited: 110
Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review
Md. Abrar Istiak, M. M. Mahbubul Syeed, Md Shakhawat Hossain, et al.
Ecological Informatics (2023) Vol. 78, pp. 102305-102305
Closed Access | Times Cited: 64
A Review on UAV-Based Applications for Plant Disease Detection and Monitoring
Louis Kouadio, Moussa El Jarroudi, Zineb Belabess, et al.
Remote Sensing (2023) Vol. 15, Iss. 17, pp. 4273-4273
Open Access | Times Cited: 32
Assessing fusarium oxysporum disease severity in cotton using unmanned aerial system images and a hybrid domain adaptation deep learning time series model
Alwaseela Abdalla, Terry A. Wheeler, Jane K. Dever, et al.
Biosystems Engineering (2024) Vol. 237, pp. 220-231
Closed Access | Times Cited: 10
A Comprehensive Survey of Unmanned Aerial Vehicles Detection and Classification Using Machine Learning Approach: Challenges, Solutions, and Future Directions
Md Habibur Rahman, Mohammad Abrar Shakil Sejan, Md Abdul Aziz, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 879-879
Open Access | Times Cited: 8
Drones in Precision Agriculture: A Comprehensive Review of Applications, Technologies, and Challenges
Ridha Guebsi, Sonia Mami, Karem Chokmani
Drones (2024) Vol. 8, Iss. 11, pp. 686-686
Open Access | Times Cited: 8
Identification of plant leaf diseases by deep learning based on channel attention and channel pruning
Riyao Chen, Haixia Qi, Yu Liang, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 35
Advancements of UAV and Deep Learning Technologies for Weed Management in Farmland
Jinmeng Zhang, Yu Feng, Qian Zhang, et al.
Agronomy (2024) Vol. 14, Iss. 3, pp. 494-494
Open Access | Times Cited: 5
Detection of the Pine Wilt Disease Using a Joint Deep Object Detection Model Based on Drone Remote Sensing Data
Youping Wu, Honglei Yang, Yunlei Mao
Forests (2024) Vol. 15, Iss. 5, pp. 869-869
Open Access | Times Cited: 5
Machine/deep learning techniques for disease and nutrient deficiency disorder diagnosis in rice crops: A systematic review
Mayuri Sharma, Chandan Jyoti Kumar, Dhruba K. Bhattacharyya
Biosystems Engineering (2024) Vol. 244, pp. 77-92
Closed Access | Times Cited: 5
Transforming Farming: A Review of AI-Powered UAV Technologies in Precision Agriculture
Juhi Agrawal, Muhammad Yeasir Arafat
Drones (2024) Vol. 8, Iss. 11, pp. 664-664
Open Access | Times Cited: 5
Close proximity aerial image for precision viticulture. A review
Szilárd Molnár, Levente Tamás
Journal of Plant Diseases and Protection (2025) Vol. 132, Iss. 1
Open Access
Detecting wheat yellow dwarf disease by employing a Dual-Branch multiscale model from UAV multispectral images
Xingan Hao, Zexi Wang, Yuchen Zhang, et al.
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109898-109898
Closed Access
Perspectives on the application of remote sensing technology in the cultivation of medicinal plants
Liwen Zhong, Xuemei Wu, Rong Ding, et al.
International Journal of Remote Sensing (2025), pp. 1-34
Closed Access
A Feature-Enhanced Small Object Detection Algorithm Based on Attention Mechanism
Zhe Quan, Jun Sun
Sensors (2025) Vol. 25, Iss. 2, pp. 589-589
Open Access
Enhancing plant disease detection through deep learning: a Depthwise CNN with squeeze and excitation integration and residual skip connections
Asadulla Ashurov, Mehdhar S. A. M. Al-Gaashani, Nagwan Abdel Samee, et al.
Frontiers in Plant Science (2025) Vol. 15
Open Access
DUALIPA: a new immune plasma algorithm for path planning of unmanned aerial vehicles
Selçuk Aslan, Tevfik Erkin
Cluster Computing (2025) Vol. 28, Iss. 4
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
Intelligent Plant Disease Diagnosis Using Deep Neural Networks
S. Dharmalingam, K. Vinoth Kumar, J. Satheesh Kumar, et al.
Lecture notes in electrical engineering (2025), pp. 419-428
Closed Access
Advanced detection of fungi-bacterial diseases in plants using modified deep neural network and DSURF
Shipra Saraswat, Pooja Singh, Manoj Kumar, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 6, pp. 16711-16733
Open Access | Times Cited: 13
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
A YOLO-Based Insect Detection: Potential Use of Small Multirotor Unmanned Aerial Vehicles (UAVs) Monitoring
Guido S. Berger, João Mendes, Arezki Abderrahim Chellal, et al.
Communications in computer and information science (2024), pp. 3-17
Closed Access | Times Cited: 4
A survey of unmanned aerial vehicles and deep learning in precision agriculture
Dashuai Wang, Minghu Zhao, Zhuolin Li, et al.
European Journal of Agronomy (2024) Vol. 164, pp. 127477-127477
Closed Access | Times Cited: 4
Hyperspectral Remote Sensing for Early Detection of Wheat Leaf Rust Caused by Puccinia triticina
Anton Terentev, Vladimir Badenko, Е. L. Shaydayuk, et al.
Agriculture (2023) Vol. 13, Iss. 6, pp. 1186-1186
Open Access | Times Cited: 11
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