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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:

Coupling of machine learning methods to improve estimation of ground coverage from unmanned aerial vehicle (UAV) imagery for high-throughput phenotyping of crops
Pengcheng Hu, Scott Chapman, Bangyou Zheng
Functional Plant Biology (2021) Vol. 48, Iss. 8, pp. 766-779
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Review of ground and aerial methods for vegetation cover fraction (fCover) and related quantities estimation: definitions, advances, challenges, and future perspectives
Linyuan Li, Xihan Mu, Hailan Jiang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 199, pp. 133-156
Closed Access | Times Cited: 56
Estimation of Maize Foliar Temperature and Stomatal Conductance as Indicators of Water Stress Based on Optical and Thermal Imagery Acquired Using an Unmanned Aerial Vehicle (UAV) Platform
Kiara Brewer, Alistair Clulow, Mbulisi Sibanda, et al.
Drones (2022) Vol. 6, Iss. 7, pp. 169-169
Open Access | Times Cited: 56
Opportunity and challenges of phenotyping plant salt tolerance
Yuncai Hu, Urs Schmidhalter
Trends in Plant Science (2023) Vol. 28, Iss. 5, pp. 552-566
Closed Access | Times Cited: 41
Complementary Use of Ground-Based Proximal Sensing and Airborne/Spaceborne Remote Sensing Techniques in Precision Agriculture: A Systematic Review
Angelos Alexopoulos, Konstantinos Koutras, Sihem Ben Ali, et al.
Agronomy (2023) Vol. 13, Iss. 7, pp. 1942-1942
Open Access | Times Cited: 24
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
Scaling up high-throughput phenotyping for abiotic stress selection in the field
Daniel Smith, Andries Potgieter, Scott Chapman
Theoretical and Applied Genetics (2021) Vol. 134, Iss. 6, pp. 1845-1866
Closed Access | Times Cited: 51
A novel approach for surveying flowers as a proxy for bee pollinators using drone images
Michele Torresani, David Kleijn, Jan Peter Reinier de Vries, et al.
Ecological Indicators (2023) Vol. 149, pp. 110123-110123
Open Access | Times Cited: 19
Copper-doped ruthenium oxide as highly efficient electrocatalysts for the evolution of oxygen in acidic media
Yuanyuan Feng, Si Si, Gao Deng, et al.
Journal of Alloys and Compounds (2021) Vol. 892, pp. 162113-162113
Closed Access | Times Cited: 35
Mapping Malaria Vector Habitats in West Africa: Drone Imagery and Deep Learning Analysis for Targeted Vector Surveillance
Fedra Trujillano, Gabriel Jiménez, Hugo Alatrista-Salas, et al.
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2775-2775
Open Access | Times Cited: 14
Plant Detection in RGB Images from Unmanned Aerial Vehicles Using Segmentation by Deep Learning and an Impact of Model Accuracy on Downstream Analysis
Mikhail V. Kozhekin, М. А. Генаев, Е. Г. Комышев, et al.
Journal of Imaging (2025) Vol. 11, Iss. 1, pp. 28-28
Open Access
EasyIDP: A Python Package for Intermediate Data Processing in UAV-Based Plant Phenotyping
Haozhou Wang, Yulin Duan, Yun Shi, et al.
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2622-2622
Open Access | Times Cited: 27
A Systematic Review of Effective Hardware and Software Factors Affecting High-Throughput Plant Phenotyping
Firozeh Solimani, Angelo Cardellicchio, Massimiliano Nitti, et al.
Information (2023) Vol. 14, Iss. 4, pp. 214-214
Open Access | Times Cited: 10
Combining Canopy Coverage and Plant Height from UAV-Based RGB Images to Estimate Spraying Volume on Potato
Jingxin Xie, Zhongrui Zhou, Hongduo Zhang, et al.
Sustainability (2022) Vol. 14, Iss. 11, pp. 6473-6473
Open Access | Times Cited: 15
Crop Growth Analysis Using Automatic Annotations and Transfer Learning in Multi-Date Aerial Images and Ortho-Mosaics
Shubham Rana, Salvatore Gerbino, Ehsan Akbari Sekehravani, et al.
(2024)
Open Access | Times Cited: 2
Bridging real and simulated data for cross-spatial- resolution vegetation segmentation with application to rice crops
Yangmingrui Gao, Linyuan Li, Marie Weiss, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 218, pp. 133-150
Closed Access | Times Cited: 2
Enhancing Solar-Induced Fluorescence Interpretation: Quantifying Fractional Sunlit Vegetation Cover Using Linear Spectral Unmixing
Adrián Moncholí‐Estornell, Maria Pilar Cendrero‐Mateo, Michal Antala, et al.
Remote Sensing (2023) Vol. 15, Iss. 17, pp. 4274-4274
Open Access | Times Cited: 6
Comparison of Modelling Strategies to Estimate Phenotypic Values from an Unmanned Aerial Vehicle with Spectral and Temporal Vegetation Indexes
Pengcheng Hu, Scott Chapman, Huidong Jin, et al.
Remote Sensing (2021) Vol. 13, Iss. 14, pp. 2827-2827
Open Access | Times Cited: 13
Drone-Based Harvest Data Prediction Can Reduce On-Farm Food Loss and Improve Farmer Income
Haozhou Wang, Li Tang, Erika Nishida, et al.
Plant Phenomics (2023) Vol. 5
Open Access | Times Cited: 5
SiamC Transformer: Siamese coupling swin transformer Multi-Scale semantic segmentation network for vegetation extraction under shadow conditions
Shichao Cui, Wei Chen, Wenzhu Gu, et al.
Computers and Electronics in Agriculture (2023) Vol. 213, pp. 108245-108245
Closed Access | Times Cited: 5
A step towards inter-operable Unmanned Aerial Vehicles (UAV) based phenotyping; A case study demonstrating a rapid, quantitative approach to standardize image acquisition and check quality of acquired images
Gattu Priyanka, Sunita Choudhary, Krithika Anbazhagan, et al.
ISPRS Open Journal of Photogrammetry and Remote Sensing (2023) Vol. 9, pp. 100042-100042
Open Access | Times Cited: 4
EasyIDP V2.0: An Intermediate Data Processing Package for Photogrammetry-Based Plant Phenotyping
Haozhou Wang, Wei Guo
Studies in big data (2024), pp. 149-172
Closed Access | Times Cited: 1
Mapping Malaria Vectors in West Africa: Drone Imagery and Deep-Learning Analysis for Targeted Vector Surveillance
Fedra Trujillano, Gabriel Jiménez, Hugo Alatrista-Salas, et al.
(2023)
Open Access | Times Cited: 2
Revolutionizing agriculture from the skies: exploring the potential of spraying drones in precision farming
João Henrique Castaldo
Cadernos de Ciência & Tecnologia (2023) Vol. 40, pp. 27284-27284
Open Access | Times Cited: 2
Field Monitoring of Fractional Vegetation Cover Based on UAV Low-altitude Remote Sensing and Machine Learning
Guofeng Yang, Yong He, Zhenjiang Zhou, et al.
(2022), pp. 1-6
Closed Access | Times Cited: 3
Crop Growth Analysis Using Automatic Annotations and Transfer Learning in Multi-date Aerial Images and Orthomosaics
Shubham Rana, Salvatore Gerbino, Ehsan Akbari Sekehravani, et al.
(2024)
Open Access
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