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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:

Estimating Above-Ground Biomass of Maize Using Features Derived from UAV-Based RGB Imagery
Yaxiao Niu, Liyuan Zhang, Huihui Zhang, et al.
Remote Sensing (2019) Vol. 11, Iss. 11, pp. 1261-1261
Open Access | Times Cited: 149

Showing 26-50 of 149 citing articles:

Unmanned aerial vehicle (UAV) imaging and machine learning applications for plant phenotyping
Fitsum T. Teshome, Haimanote K. Bayabil, Gerrit Hoogenboom, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108064-108064
Open Access | Times Cited: 36
Faba bean above-ground biomass and bean yield estimation based on consumer-grade unmanned aerial vehicle RGB images and ensemble learning
Yishan Ji, Rong Liu, Yonggui Xiao, et al.
Precision Agriculture (2023) Vol. 24, Iss. 4, pp. 1439-1460
Closed Access | Times Cited: 34
Estimating maize plant height using a crop surface model constructed from UAV RGB images
Yaxiao Niu, Wenting Han, Huihui Zhang, et al.
Biosystems Engineering (2024) Vol. 241, pp. 56-67
Closed Access | Times Cited: 9
Advancing soybean biomass estimation through multi-source UAV data fusion and machine learning algorithms
Haitao Da, Yaxin Li, Le Xu, et al.
Smart Agricultural Technology (2025) Vol. 10, pp. 100778-100778
Open Access | Times Cited: 1
A Review on Drone-Based Data Solutions for Cereal Crops
Uma Shankar Panday, Arun Kumar Pratihast, Jagannath Aryal, et al.
Drones (2020) Vol. 4, Iss. 3, pp. 41-41
Open Access | Times Cited: 68
Estimating Maize Above-Ground Biomass Using 3D Point Clouds of Multi-Source Unmanned Aerial Vehicle Data at Multi-Spatial Scales
Wanxue Zhu, Zhigang Sun, Jinbang Peng, et al.
Remote Sensing (2019) Vol. 11, Iss. 22, pp. 2678-2678
Open Access | Times Cited: 66
Applications of UAS in Crop Biomass Monitoring: A Review
Tianhai Wang, Yadong Liu, Minghui Wang, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 51
Estimating fractional vegetation cover of maize under water stress from UAV multispectral imagery using machine learning algorithms
Yaxiao Niu, Wenting Han, Huihui Zhang, et al.
Computers and Electronics in Agriculture (2021) Vol. 189, pp. 106414-106414
Closed Access | Times Cited: 46
Estimation of the nitrogen content of potato plants based on morphological parameters and visible light vegetation indices
Yiguang Fan, Haikuan Feng, Xiuliang Jin, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 36
Opportunities and challenges in phenotyping row crops using drone‐based RGB imaging
Dorothy D. Sweet, Sara B. Tirado, Nathan M. Springer, et al.
The Plant Phenome Journal (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 34
Prediction of maize crop coefficient from UAV multisensor remote sensing using machine learning methods
Guomin Shao, Wenting Han, Huihui Zhang, et al.
Agricultural Water Management (2022) Vol. 276, pp. 108064-108064
Open Access | Times Cited: 31
Estimating Yield-Related Traits Using UAV-Derived Multispectral Images to Improve Rice Grain Yield Prediction
Maria Victoria Bascon, Tomohiro Nakata, Satoshi Shibata, et al.
Agriculture (2022) Vol. 12, Iss. 8, pp. 1141-1141
Open Access | Times Cited: 30
Optimization of UAV-Based Imaging and Image Processing Orthomosaic and Point Cloud Approaches for Estimating Biomass in a Forage Crop
Worasit Sangjan, Rebecca J. McGee, Sindhuja Sankaran
Remote Sensing (2022) Vol. 14, Iss. 10, pp. 2396-2396
Open Access | Times Cited: 29
Estimating soil salinity under sunflower cover in the Hetao Irrigation District based on unmanned aerial vehicle remote sensing
Xin Cui, Wenting Han, Huihui Zhang, et al.
Land Degradation and Development (2022) Vol. 34, Iss. 1, pp. 84-97
Closed Access | Times Cited: 29
Estimation of Rice Aboveground Biomass by UAV Imagery with Photosynthetic Accumulation Models
Kaili Yang, Jiacai Mo, Shanjun Luo, et al.
Plant Phenomics (2023) Vol. 5
Open Access | Times Cited: 19
A Three-Dimensional Conceptual Model for Estimating the Above-Ground Biomass of Winter Wheat Using Digital and Multispectral Unmanned Aerial Vehicle Images at Various Growth Stages
Yongji Zhu, Jikai Liu, Xinyu Tao, et al.
Remote Sensing (2023) Vol. 15, Iss. 13, pp. 3332-3332
Open Access | Times Cited: 17
A Systematic Review of Vegetation Indices for Potato Growth Monitoring and Tuber Yield Prediction from Remote Sensing
Alex Mukiibi, A. T. B. Machakaire, A.C. Franke, et al.
Potato Research (2024)
Open Access | Times Cited: 7
Remote Sensing Detecting of Yellow Leaf Disease of Arecanut Based on UAV Multisource Sensors
Shuhan Lei, Jianbiao Luo, Xiaojun Tao, et al.
Remote Sensing (2021) Vol. 13, Iss. 22, pp. 4562-4562
Open Access | Times Cited: 38
Optimization of multi-source UAV RS agro-monitoring schemes designed for field-scale crop phenotyping
Wanxue Zhu, Zhigang Sun, Yaohuan Huang, et al.
Precision Agriculture (2021) Vol. 22, Iss. 6, pp. 1768-1802
Closed Access | Times Cited: 36
Estimating Plant Nitrogen Concentration of Rice through Fusing Vegetation Indices and Color Moments Derived from UAV-RGB Images
Haixiao Ge, Haitao Xiang, Fei Ma, et al.
Remote Sensing (2021) Vol. 13, Iss. 9, pp. 1620-1620
Open Access | Times Cited: 34
UAV LiDAR Metrics for Monitoring Crop Height, Biomass and Nitrogen Uptake: A Case Study on a Winter Wheat Field Trial
Christoph Hütt, Andreas Bolten, Hubert Hüging, et al.
PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science (2022) Vol. 91, Iss. 2, pp. 65-76
Open Access | Times Cited: 28
Estimation of Aboveground Biomass of Potatoes Based on Characteristic Variables Extracted from UAV Hyperspectral Imagery
Yang Liu, Haikuan Feng, Jibo Yue, et al.
Remote Sensing (2022) Vol. 14, Iss. 20, pp. 5121-5121
Open Access | Times Cited: 25
Estimation of Wheat Plant Height and Biomass by Combining UAV Imagery and Elevation Data
Dunliang Wang, Rui Li, Bo Zhu, et al.
Agriculture (2022) Vol. 13, Iss. 1, pp. 9-9
Open Access | Times Cited: 24
Comparison of Different Dimensional Spectral Indices for Estimating Nitrogen Content of Potato Plants over Multiple Growth Periods
Yiguang Fan, Haikuan Feng, Jibo Yue, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 602-602
Open Access | Times Cited: 16
Optimizing nitrogen, phosphorus, and potassium fertilization regimes to improve maize productivity under double ridge-furrow planting with full film mulching
Wenlong Li, Xiaobo Gu, Yadan Du, et al.
Agricultural Water Management (2023) Vol. 287, pp. 108439-108439
Open Access | Times Cited: 16

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