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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:

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

Showing 1-25 of 64 citing articles:

Cotton Verticillium wilt monitoring based on UAV multispectral-visible multi-source feature fusion
Rui Ma, Nannan Zhang, Xiao Zhang, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108628-108628
Closed Access | Times Cited: 13
Integrating digital technologies in agriculture for climate change adaptation and mitigation: State of the art and future perspectives
Carlos Parra-López, Saker Ben Abdallah, Guillermo García-García, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109412-109412
Closed Access | Times Cited: 10
Monitoring Maize Canopy Chlorophyll Content throughout the Growth Stages Based on UAV MS and RGB Feature Fusion
Wenfeng Li, Kun Pan, Wenrong Liu, et al.
Agriculture (2024) Vol. 14, Iss. 8, pp. 1265-1265
Open Access | Times Cited: 9
Advancements in Utilizing Image-Analysis Technology for Crop-Yield Estimation
Yu Feng, Ming Wang, Jun Xiao, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 1003-1003
Open Access | Times Cited: 8
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
Field-Deployed Spectroscopy from 350 to 2500 nm: A Promising Technique for Early Identification of Powdery Mildew Disease (Erysiphe necator) in Vineyards
Sergio Vélez, Enrique Barajas, J.A. Rubio, et al.
Agronomy (2024) Vol. 14, Iss. 3, pp. 634-634
Open Access | Times Cited: 5
Method for Monitoring Wheat Growth Status and Estimating Yield Based on UAV Multispectral Remote Sensing
Junke Zhu, Yumeng Li, Chunying Wang, et al.
Agronomy (2024) Vol. 14, Iss. 5, pp. 991-991
Open Access | Times Cited: 5
An enhanced chlorophyll estimation model with a canopy structural trait in maize crops: Use of multi-spectral UAV images and machine learning algorithm
Gaurav Singhal, Burhan U. Choudhury, Naseeb Singh, et al.
Ecological Informatics (2024) Vol. 83, pp. 102811-102811
Open Access | Times Cited: 5
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
Monitoring the Maize Canopy Chlorophyll Content Using Discrete Wavelet Transform Combined with RGB Feature Fusion
Wenfeng Li, Kun Pan, Yue Huang, et al.
Agronomy (2025) Vol. 15, Iss. 1, pp. 212-212
Open Access
Harnessing artificial intelligence and remote sensing in climate-smart agriculture: the current strategies needed for enhancing global food security
Gideon Sadikiel Mmbando
Cogent Food & Agriculture (2025) Vol. 11, Iss. 1
Open Access
Optimal band selection and transfer in drone-based hyperspectral images for plant-level vegetable crops identification using statistical-swarm intelligence (SSI) hybrid algorithms
Anagha S. Sarma, ‪Rama Rao Nidamanuri
Ecological Informatics (2025), pp. 103051-103051
Open Access
Novel Automation, AI, and Biomimetic Engineering Advancements for Insect Studies and Management
Donato Romano
Current Opinion in Insect Science (2025), pp. 101337-101337
Closed Access
Identifying Hydrilla verticillata in Real Time With a Machine Learning–Based Underwater Object Detection Program
Hyogu Jeong, Aaron N. Schad, Jeffrey Cheng, et al.
Aquatic Conservation Marine and Freshwater Ecosystems (2025) Vol. 35, Iss. 1
Closed Access
Resource constraint crop damage classification using depth channel shuffling
Md. Tanvir Islam, Safkat Shahrier Swapnil, Md Mashum Billal, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110117-110117
Closed Access
Bioinspired tailless FWMAV design for agricultural plant protection in greenhouses
Yongwei Yan, Fa Song, Wenzhe Wang, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 110021-110021
Closed Access
Framework for Smartphone-based Grape Detection and Vineyard Management using UAV-Trained AI
Sergio Vélez, Mar Ariza-Sentís, Mario Triviño, et al.
Heliyon (2025) Vol. 11, Iss. 4, pp. e42525-e42525
Open Access
Advancing food security through drone-based hyperspectral imaging: applications in precision agriculture and post-harvest management
Debashish Kar, Sambandh Bhusan Dhal
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 3
Closed Access
Improved Detection and Location of Small Crop Organs by Fusing UAV Orthophoto Maps and Raw Images
Huaiyang Liu, Huibin Li, Haozhou Wang, et al.
Remote Sensing (2025) Vol. 17, Iss. 5, pp. 906-906
Open Access
Canopy extraction of mango trees in hilly and plain orchards using UAV images: Performance of machine learning vs deep learning
Yuqi Yang, Tiwei Zeng, Long Li, et al.
Ecological Informatics (2025), pp. 103101-103101
Open Access
Effectiveness of drone-based thermal sensors in optimizing controlled environment agriculture performance under arid conditions
Rawan Al-Najadi, Yaseen Al-Mulla, Ibtisam Al-Abri, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Impacts of Variable Illumination and Image Background on Rice LAI Estimation Based on UAV RGB-Derived Color Indices
Binfeng Sun, Yanda Li, Junbao Huang, et al.
Applied Sciences (2024) Vol. 14, Iss. 8, pp. 3214-3214
Open Access | Times Cited: 4
UAS-based remote sensing for agricultural Monitoring: Current status and perspectives
Jingzhe Wang, Silu Zhang, Iván Lizaga, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109501-109501
Closed Access | Times Cited: 4
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: 4
Time-efficient low-resolution RGB aerial imaging for precision mapping of weed types in site-specific herbicide application
Lalita Panduangnat, Jetsada Posom, Kanda Runapongsa Saikaew, et al.
Crop Protection (2024) Vol. 184, pp. 106805-106805
Closed Access | Times Cited: 3
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