Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Machine learning methods for precision agriculture with UAV imagery: a review
Tej Bahadur Shahi, Cheng‐Yuan Xu, Arjun Neupane, et al.
Electronic Research Archive (2022) Vol. 30, Iss. 12, pp. 4277-4317
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

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: 119
Pasture monitoring using remote sensing and machine learning: A review of methods and applications
Tej Bahadur Shahi, Thirunavukarasu Balasubramaniam, Kenneth Sabir, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101459-101459
Open Access | Times Cited: 2
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: 13
IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities
Elisha Elikem Kofi Senoo, Lia Anggraini, Jacqueline Asor Kumi, et al.
Electronics (2024) Vol. 13, Iss. 10, pp. 1894-1894
Open Access | Times Cited: 12
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: 12
Field-scale detection of Bacterial Leaf Blight in rice based on UAV multispectral imaging and deep learning frameworks
Guntaga Logavitool, Teerayut Horanont, Aakash Thapa, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0314535-e0314535
Open Access | Times Cited: 1
Corn yield prediction in site-specific management zones using proximal soil sensing, remote sensing, and machine learning approach
Bere Benjamin Bantchına, Muhammad Qaswar, Selçuk Arslan, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109329-109329
Closed Access | Times Cited: 6
Weed Detection from Unmanned Aerial Vehicle Imagery Using Deep Learning—A Comparison between High-End and Low-Cost Multispectral Sensors
Anna Teresa Seiche, Lucas Wittstruck, Thomas Jarmer
Sensors (2024) Vol. 24, Iss. 5, pp. 1544-1544
Open Access | Times Cited: 5
A cooperative scheme for late leaf spot estimation in peanut using UAV multispectral images
Tej Bahadur Shahi, Cheng‐Yuan Xu, Arjun Neupane, et al.
PLoS ONE (2023) Vol. 18, Iss. 3, pp. e0282486-e0282486
Open Access | Times Cited: 12
Peanut yield prediction with UAV multispectral imagery using a cooperative machine learning approach
Tej Bahadur Shahi, Cheng‐Yuan Xu, Arjun Neupane, et al.
Electronic Research Archive (2023) Vol. 31, Iss. 6, pp. 3343-3361
Open Access | Times Cited: 10
Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of Grapevines
Ronald P. Dillner, Maria A. Wimmer, Matthias Porten, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 431-431
Open Access
FARMLAND OBSTACLE RECOGNITION BASED ON IMPROVED FASTER R-CNN
Xiangyu Bai, Kai Zhang, Ranbing Yang, et al.
INMATEH Agricultural Engineering (2025), pp. 346-355
Closed Access
Enhanced Approach for Precision Agriculture Using AI/ML Techniques
Vedant Agarwal, Sumit Budhiraja, Ashwin Sasi, et al.
Lecture notes in networks and systems (2025), pp. 19-30
Closed Access
UAV-Based Remote Sensing to Evaluate Daily Water Demand Characteristics of Maize: A Case Study from Yuci Lifang Organic Dry Farming Experimental Base in Jinzhong City, China
Yaoyu Li, Tengteng Qu, Yuzhi Wang, et al.
Agronomy (2024) Vol. 14, Iss. 4, pp. 729-729
Open Access | Times Cited: 3
ADVANCING PRECISION AGRICULTURE WITH UAV’S: INNOVATIONS IN FERTILIZATION
Gabriel-Valentin GHEORGHE, D. Dumitru, R. Ciupercă, et al.
INMATEH Agricultural Engineering (2025), pp. 1057-1072
Open Access
Cooperative Localization of UAVs in Multi-Robot Systems Using Deep Learning-Based Detection
Veera Venkata Ram Murali K. Muvva, Yogesh Chawla, Kunjan Theodore Joseph, et al.
AIAA SCITECH 2022 Forum (2025)
Closed Access
A Predictive Approach to Improving Agricultural Productivity in Morocco through Crop Recommendations
Rachid Ed-Daoudi, Altaf Alaoui, Badia Ettaki, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 3
Open Access | Times Cited: 8
Characterization of Rice Yield Based on Biomass and SPAD-Based Leaf Nitrogen for Large Genotype Plots
Andres F. Duque, Diego Patiño, Julian D. Colorado, et al.
Sensors (2023) Vol. 23, Iss. 13, pp. 5917-5917
Open Access | Times Cited: 7
Automated Counting of Tobacco Plants Using Multispectral UAV Data
Hong Lin, Zhuqun Chen, Zhenping Qiang, et al.
Agronomy (2023) Vol. 13, Iss. 12, pp. 2861-2861
Open Access | Times Cited: 6
TCSNet: A New Individual Tree Crown Segmentation Network from Unmanned Aerial Vehicle Images
Yue Chi, Chenxi Wang, Zhulin Chen, et al.
Forests (2024) Vol. 15, Iss. 10, pp. 1814-1814
Open Access | Times Cited: 2
Crop Classification from Drone Imagery Based on Lightweight Semantic Segmentation Methods
Zuojun Zheng, Jianghao Yuan, Wei Yao, et al.
Remote Sensing (2024) Vol. 16, Iss. 21, pp. 4099-4099
Open Access | Times Cited: 2
A deep learning approach for vehicle velocity prediction considering the influence factors of multiple lanes
Mingxing Xu, Hongyi Lin, Yang Liu
Electronic Research Archive (2022) Vol. 31, Iss. 1, pp. 401-420
Open Access | Times Cited: 8
Applicability of UAV in Crop Health Monitoring Using Machine Learning Techniques
Tej Bahadur Shahi, Ram B. Khadka, Arjun Neupane
Advances in computational intelligence and robotics book series (2024), pp. 246-262
Closed Access | Times Cited: 1
Using Multi-Sensor Data Fusion Techniques and Machine Learning Algorithms for Improving UAV-Based Yield Prediction of Oilseed Rape
Hongyan Zhu, Shikai Liang, Chengzhi Lin, et al.
Drones (2024) Vol. 8, Iss. 11, pp. 642-642
Open Access | Times Cited: 1
Subtropical region tea tree LAI estimation integrating vegetation indices and texture features derived from UAV multispectral images
Zhong-Han Zhuang, Hui-Ping Tsai, Chung-I Chen, et al.
Smart Agricultural Technology (2024) Vol. 9, pp. 100650-100650
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top