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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:

High Throughput Field Phenotyping of Wheat Plant Height and Growth Rate in Field Plot Trials Using UAV Based Remote Sensing
Fenner Holman, A. B. Riche, Adam Michalski, et al.
Remote Sensing (2016) Vol. 8, Iss. 12, pp. 1031-1031
Open Access | Times Cited: 348

Showing 1-25 of 348 citing articles:

Remote sensing for agricultural applications: A meta-review
Marie Weiss, Frédéric Jacob, Grégory Duveiller
Remote Sensing of Environment (2019) Vol. 236, pp. 111402-111402
Open Access | Times Cited: 1289
Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
Guijun Yang, Jiangang Liu, Chunjiang Zhao, et al.
Frontiers in Plant Science (2017) Vol. 8
Open Access | Times Cited: 638
Drones in agriculture: A review and bibliometric analysis
Abderahman Rejeb, Alireza Abdollahi, Karim Rejeb, et al.
Computers and Electronics in Agriculture (2022) Vol. 198, pp. 107017-107017
Open Access | Times Cited: 372
Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data
Liang Han, Guijun Yang, Huayang Dai, et al.
Plant Methods (2019) Vol. 15, Iss. 1
Open Access | Times Cited: 363
Above-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging
Bo Li, Xiangming Xu, Li Zhang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 162, pp. 161-172
Closed Access | Times Cited: 354
Uncovering the hidden half of plants using new advances in root phenotyping
Jonathan A. Atkinson, Michael P. Pound, Malcolm J. Bennett, et al.
Current Opinion in Biotechnology (2018) Vol. 55, pp. 1-8
Open Access | Times Cited: 311
A Review on the Use of Unmanned Aerial Vehicles and Imaging Sensors for Monitoring and Assessing Plant Stresses
Jayme Garcia Arnal Barbedo
Drones (2019) Vol. 3, Iss. 2, pp. 40-40
Open Access | Times Cited: 309
High throughput phenotyping to accelerate crop breeding and monitoring of diseases in the field
Nadia Shakoor, Scott Lee, Todd C. Mockler
Current Opinion in Plant Biology (2017) Vol. 38, pp. 184-192
Open Access | Times Cited: 292
High-Throughput Phenotyping of Plant Height: Comparing Unmanned Aerial Vehicles and Ground LiDAR Estimates
Simon Madec, Frédéric Baret, Benoît de Solan, et al.
Frontiers in Plant Science (2017) Vol. 8
Open Access | Times Cited: 292
A review on plant high-throughput phenotyping traits using UAV-based sensors
Chuanqi Xie, Ce Yang
Computers and Electronics in Agriculture (2020) Vol. 178, pp. 105731-105731
Open Access | Times Cited: 264
Detection and analysis of wheat spikes using Convolutional Neural Networks
Md. Mehedi Hasan, Joshua Chopin, Hamid Laga, et al.
Plant Methods (2018) Vol. 14, Iss. 1
Open Access | Times Cited: 239
High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms
Xiuliang Jin, Pablo J. Zarco‐Tejada, Urs Schmidhalter, et al.
IEEE Geoscience and Remote Sensing Magazine (2020) Vol. 9, Iss. 1, pp. 200-231
Open Access | Times Cited: 222
Breeder friendly phenotyping
Matthew Reynolds, Scott Chapman, Leonardo Crespo‐Herrera, et al.
Plant Science (2020) Vol. 295, pp. 110396-110396
Open Access | Times Cited: 203
Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system
Ning Lu, Jie Zhou, Zixu Han, et al.
Plant Methods (2019) Vol. 15, Iss. 1
Open Access | Times Cited: 184
Multitemporal field-based plant height estimation using 3D point clouds generated from small unmanned aerial systems high-resolution imagery
Lonesome Malambo, Sorin C. Popescu, Seth C. Murray, et al.
International Journal of Applied Earth Observation and Geoinformation (2017) Vol. 64, pp. 31-42
Open Access | Times Cited: 180
Evaluation of RGB, Color-Infrared and Multispectral Images Acquired from Unmanned Aerial Systems for the Estimation of Nitrogen Accumulation in Rice
Hengbiao Zheng, Tao Cheng, Dong Li, et al.
Remote Sensing (2018) Vol. 10, Iss. 6, pp. 824-824
Open Access | Times Cited: 180
A Physio-Morphological Trait-Based Approach for Breeding Drought Tolerant Wheat
Kamal Khadka, Hugh J. Earl, Manish N. Raizada, et al.
Frontiers in Plant Science (2020) Vol. 11
Open Access | Times Cited: 167
Biomass and Crop Height Estimation of Different Crops Using UAV-Based Lidar
Jelle ten Harkel, Harm Bartholomeus, Lammert Kooistra
Remote Sensing (2019) Vol. 12, Iss. 1, pp. 17-17
Open Access | Times Cited: 157
A comprehensive review on recent applications of unmanned aerial vehicle remote sensing with various sensors for high-throughput plant phenotyping
Lei Feng, Shuangshuang Chen, Chu Zhang, et al.
Computers and Electronics in Agriculture (2021) Vol. 182, pp. 106033-106033
Closed Access | Times Cited: 156
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects
Shichao Jin, Xiliang Sun, Fangfang Wu, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 171, pp. 202-223
Closed Access | Times Cited: 154
Phenotyping: New Windows into the Plant for Breeders
Michelle Watt, Fabio Fiorani, Björn Usadel, et al.
Annual Review of Plant Biology (2020) Vol. 71, Iss. 1, pp. 689-712
Closed Access | Times Cited: 148
High-Throughput Plant Phenotyping Platform (HT3P) as a Novel Tool for Estimating Agronomic Traits From the Lab to the Field
Daoliang Li, Chaoqun Quan, Zhaoyang Song, et al.
Frontiers in Bioengineering and Biotechnology (2021) Vol. 8
Open Access | Times Cited: 125
Unmanned Aerial Vehicle for Precision Agriculture: A Review
Francesco Toscano, Costanza Fiorentino, Nicola Capece, et al.
IEEE Access (2024) Vol. 12, pp. 69188-69205
Open Access | Times Cited: 19
A Comparison of Crop Parameters Estimation Using Images from UAV-Mounted Snapshot Hyperspectral Sensor and High-Definition Digital Camera
Jibo Yue, Haikuan Feng, Xiuliang Jin, et al.
Remote Sensing (2018) Vol. 10, Iss. 7, pp. 1138-1138
Open Access | Times Cited: 160
A meta-analysis and review of unmanned aircraft system (UAS) imagery for terrestrial applications
Kunwar K. Singh, Amy E. Frazier
International Journal of Remote Sensing (2018) Vol. 39, Iss. 15-16, pp. 5078-5098
Closed Access | Times Cited: 154
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