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.

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Showing 1-25 of 56 citing articles:

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: 71

Crop Monitoring in Smallholder Farms Using Unmanned Aerial Vehicles to Facilitate Precision Agriculture Practices: A Scoping Review and Bibliometric Analysis
Shaeden Gokool, Maqsooda Mahomed, Richard Kunz, et al.
Sustainability (2023) Vol. 15, Iss. 4, pp. 3557-3557
Open Access | Times Cited: 49

Transport of Nanoparticles into Plants and Their Detection Methods
Anca Awal Sembada, I. Wuled Lenggoro
Nanomaterials (2024) Vol. 14, Iss. 2, pp. 131-131
Open Access | Times Cited: 46

Drone‐based imaging sensors, techniques, and applications in plant phenotyping for crop breeding: A comprehensive review
Boubacar Gano, Sourav Bhadra, Justin M. Vilbig, et al.
The Plant Phenome Journal (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 18

Predicting stomatal conductance of chili peppers using TPE-optimized LightGBM and SHAP feature analysis based on UAVs’ hyperspectral, thermal infrared imagery, and meteorological data
Haiyang Zhang, Wenwen Li, Guolong Wang, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 110036-110036
Closed Access | Times Cited: 4

Barriers to the adoption of new technologies in rural areas: The case of unmanned aerial vehicles for precision agriculture in India
Harish Puppala, Pranav R. T. Peddinti, Jagannadha Pawan Tamvada, et al.
Technology in Society (2023) Vol. 74, pp. 102335-102335
Open Access | Times Cited: 32

Crop water stress detection based on UAV remote sensing systems
Hao Dong, Jiahui Dong, Shikun Sun, et al.
Agricultural Water Management (2024) Vol. 303, pp. 109059-109059
Open Access | Times Cited: 15

Improved estimation of canopy water status in cotton using vegetation indices along with textural information from UAV-based multispectral images
Shengzhao Pei, Yulong Dai, Zhentao Bai, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109176-109176
Closed Access | Times Cited: 11

An Overview of Machine Learning Applications on Plant Phenotyping, with a Focus on Sunflower
Luana Centorame, Thomas Gasperini, Alessio Ilari, et al.
Agronomy (2024) Vol. 14, Iss. 4, pp. 719-719
Open Access | Times Cited: 9

Early Drought Detection in Maize Using UAV Images and YOLOv8+
Shanwei Niu, Zhigang Nie, Guang Li, et al.
Drones (2024) Vol. 8, Iss. 5, pp. 170-170
Open Access | Times Cited: 8

A systematic review on the application of UAV-based thermal remote sensing for assessing and monitoring crop water status in crop farming systems
Helen S. Ndlovu, John Odindi, Mbulisi Sibanda, et al.
International Journal of Remote Sensing (2024) Vol. 45, Iss. 15, pp. 4923-4960
Closed Access | Times Cited: 7

Response of stomatal conductance to plant water stress in buffalograss seed production: Observation with UAV thermal infrared imagery
Chu Wang, K. J. Zhu, YanYan Bai, et al.
Agricultural Water Management (2024) Vol. 292, pp. 108661-108661
Open Access | Times Cited: 6

Design and Implementation of UAVs for Bird’s Nest Inspection on Transmission Lines Based on Deep Learning
Li Han, Yiqun Dong, Yunxiao Liu, et al.
Drones (2022) Vol. 6, Iss. 9, pp. 252-252
Open Access | Times Cited: 28

Unmanned aerial systems for modelling air pollution removal by urban greenery
Vít Kašpar, Miloš Zapletal, Pavel Samec, et al.
Urban forestry & urban greening (2022) Vol. 78, pp. 127757-127757
Closed Access | Times Cited: 25

How can agricultural water production be promoted? a review on machine learning for irrigation
Hairong Gao, Lili Zhangzhong, Wengang Zheng, et al.
Journal of Cleaner Production (2023) Vol. 414, pp. 137687-137687
Closed Access | Times Cited: 16

Combining UAV-Based Multispectral and Thermal Infrared Data with Regression Modeling and SHAP Analysis for Predicting Stomatal Conductance in Almond Orchards
Nathalie Guimarães, Joaquim J. Sousa, Pedro Couto, et al.
Remote Sensing (2024) Vol. 16, Iss. 13, pp. 2467-2467
Open Access | Times Cited: 5

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: 5

Unmanned aerial vehicle phenotyping of agronomic and physiological traits in mungbean
Shanice Van Haeften, Daniel Smith, Hannah Robinson, et al.
The Plant Phenome Journal (2025) Vol. 8, Iss. 1
Open Access

Paddy rice traits estimation under varying management strategies using UAV technology
Daniel Muhindo, Joyce J. Lelei, Wivine Munyahali, et al.
Agrosystems Geosciences & Environment (2025) Vol. 8, Iss. 1
Open Access

Smart Agriculture Based on Artificial Intelligence and Drones Through a Systematic Review
Ali Mhaned, Mouatassim Salma, Mounia El Haji, et al.
IGI Global eBooks (2025), pp. 213-266
Closed Access

ICTs and Smallholders: A Systematic Review of Case Studies and their Impact on ESG Outcomes
Francesca Bertacchini, Antonio Cimino, Caterina Fusto, et al.
Procedia Computer Science (2025) Vol. 253, pp. 3276-3287
Open Access

Evaluation of crop water status using UAV-based images data with a model updating strategy
Ning Yang, Zhitao Zhang, Xiaofei Yang, et al.
Agricultural Water Management (2025) Vol. 312, pp. 109445-109445
Open Access

A Survey on Unauthorized UAV Threats to Smart Farming
Peng Chen, Shihao Yan, Helge Janicke, et al.
Drones (2025) Vol. 9, Iss. 4, pp. 251-251
Open Access

Integrating UAV-based multispectral and thermal infrared imageries with machine learning for predicting water stress in winter wheat
Santosh S. Mali, Michael Scobie, J. E. M. Baillie, et al.
Precision Agriculture (2025) Vol. 26, Iss. 3
Closed Access

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