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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:

Estimation of Grassland Canopy Height and Aboveground Biomass at the Quadrat Scale Using Unmanned Aerial Vehicle
Huifang Zhang, Yi Sun, Li Chang, et al.
Remote Sensing (2018) Vol. 10, Iss. 6, pp. 851-851
Open Access | Times Cited: 119

Showing 26-50 of 119 citing articles:

Monitoring Forage Mass with Low-Cost UAV Data: Case Study at the Rengen Grassland Experiment
Ulrike Lussem, J. Schellberg, Georg Bareth
PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science (2020) Vol. 88, Iss. 5, pp. 407-422
Open Access | Times Cited: 50
Remote Estimation of Mangrove Aboveground Carbon Stock at the Species Level Using a Low-Cost Unmanned Aerial Vehicle System
Zhen Li, Qijie Zan, Qiong Yang, et al.
Remote Sensing (2019) Vol. 11, Iss. 9, pp. 1018-1018
Open Access | Times Cited: 47
Using UAV Visible Images to Estimate the Soil Moisture of Steppe
Fengshuai Lu, Yi Sun, Fujiang Hou
Water (2020) Vol. 12, Iss. 9, pp. 2334-2334
Open Access | Times Cited: 47
Using UAV LiDAR to Extract Vegetation Parameters of Inner Mongolian Grassland
Xiang Zhang, Yuhai Bao, Dongliang Wang, et al.
Remote Sensing (2021) Vol. 13, Iss. 4, pp. 656-656
Open Access | Times Cited: 37
Estimation of the Canopy Height Model From Multispectral Satellite Imagery With Convolutional Neural Networks
Svetlana Illarionova, Dmitrii Shadrin, Vladimir Ignatiev, et al.
IEEE Access (2022) Vol. 10, pp. 34116-34132
Open Access | Times Cited: 27
Using High-Resolution UAV Imaging to Measure Canopy Height of Diverse Cover Crops and Predict Biomass
Robin Kümmerer, Patrick Noack, B. L. Bauer
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1520-1520
Open Access | Times Cited: 16
An Overview of Using Unmanned Aerial System Mounted Sensors to Measure Plant Above-Ground Biomass
Aliasghar Bazrafkan, Nadia Delavarpour, Peter G. Oduor, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3543-3543
Open Access | Times Cited: 14
Estimation of Plant Height and Biomass of Rice Using Unmanned Aerial Vehicle
Enze Song, Guangcheng Shao, Xueying Zhu, et al.
Agronomy (2024) Vol. 14, Iss. 1, pp. 145-145
Open Access | Times Cited: 5
Integrating Satellite and UAV Technologies for Maize Plant Height Estimation Using Advanced Machine Learning
Marcelo Araújo Junqueira Ferraz, Thiago Orlando Costa Barboza, Pablo de Sousa Arantes, et al.
AgriEngineering (2024) Vol. 6, Iss. 1, pp. 20-33
Open Access | Times Cited: 5
Replacing Manual Rising Plate Meter Measurements with Low-cost UAV-Derived Sward Height Data in Grasslands for Spatial Monitoring
Georg Bareth, J. Schellberg
PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science (2018) Vol. 86, Iss. 3-4, pp. 157-168
Closed Access | Times Cited: 43
Prospects for Measurement of Dry Matter Yield in Forage Breeding Programs Using Sensor Technologies
Alem Gebremedhin, Pieter Badenhorst, Junping Wang, et al.
Agronomy (2019) Vol. 9, Iss. 2, pp. 65-65
Open Access | Times Cited: 39
Effects of plateau pikas’ foraging and burrowing activities on vegetation biomass and soil organic carbon of alpine grasslands
Yu Qin, Shuhua Yi, Yongjian Ding, et al.
Plant and Soil (2020) Vol. 458, Iss. 1-2, pp. 201-216
Open Access | Times Cited: 35
Estimation of Grassland Height Based on the Random Forest Algorithm and Remote Sensing in the Tibetan Plateau
Jianpeng Yin, Qisheng Feng, Tiangang Liang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2019) Vol. 13, pp. 178-186
Open Access | Times Cited: 32
Estimating dry biomass and plant nitrogen concentration in pre-Alpine grasslands with low-cost UAS-borne multispectral data – a comparison of sensors, algorithms, and predictor sets
Anne Schucknecht, Bumsuk Seo, Alexander Krämer, et al.
Biogeosciences (2022) Vol. 19, Iss. 10, pp. 2699-2727
Open Access | Times Cited: 17
Herbage Mass, N Concentration, and N Uptake of Temperate Grasslands Can Adequately Be Estimated from UAV-Based Image Data Using Machine Learning
Ulrike Lussem, Andreas Bolten, Ireneusz Kleppert, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3066-3066
Open Access | Times Cited: 17
A Meta-Analysis of Remote Sensing Technologies and Methodologies for Crop Characterization
Hazhir Bahrami, Heather McNairn, Masoud Mahdianpari, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5633-5633
Open Access | Times Cited: 17
Aboveground biomass estimation in a grassland ecosystem using Sentinel-2 satellite imagery and machine learning algorithms
Andisani Netsianda, Paidamwoyo Mhangara
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 2
Open Access
Voxel Volumes and Biomass: Estimating Vegetation Volume and Litter Accumulation of Exotic Annual Grasses Using Automated Ultra‐High‐Resolution SfM and Advanced Classification Techniques
Josh Enterkine, Ahmad Hojatimalekshah, Monica Vermillion, et al.
Ecology and Evolution (2025) Vol. 15, Iss. 1
Open Access
Cover Crop Biomass Predictions with Unmanned Aerial Vehicle Remote Sensing and TensorFlow Machine Learning
Aakriti Poudel, D. R. Burns, Rejina Adhikari, et al.
Drones (2025) Vol. 9, Iss. 2, pp. 131-131
Open Access
Multitemporal Sentinel and GEDI data integration for overstory and understory fuel type classification
Pegah Mohammadpour, D. X. Viegas, Alcides Pereira, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 139, pp. 104455-104455
Closed Access
Integrating Proximal and Remote Sensing with Machine Learning for Pasture Biomass Estimation
Bernardo Moreira Cândido, Ushasree Mindala, Hamid Ebrahimy, et al.
Sensors (2025) Vol. 25, Iss. 7, pp. 1987-1987
Open Access
Developing Large-Scale Pasture Approaches to Quantify Forage Mass in Rangelands Using Drones
Michael T. Page, Humberto L. Perotto‐Baldivieso, J. Alfonso Ortega‐S., et al.
Rangeland Ecology & Management (2025) Vol. 100, pp. 111-120
Open Access
Cover Crop Types Influence Biomass Estimation Using Unmanned Aerial Vehicle-Mounted Multispectral Sensors
Sk Musfiq Us Salehin, Chiranjibi Poudyal, Nithya Rajan, et al.
Remote Sensing (2025) Vol. 17, Iss. 8, pp. 1471-1471
Open Access
Response of soil water and carbon storage to short-term grazing prohibition in arid and semi-arid grasslands of China
Shuai Wang, Shengwei Zhang, Xi Lin, et al.
Journal of Arid Environments (2022) Vol. 202, pp. 104754-104754
Closed Access | Times Cited: 16
Identification and Classification of Small Sample Desert Grassland Vegetation Communities Based on Dynamic Graph Convolution and UAV Hyperspectral Imagery
Tao Zhang, Yuge Bi, Xiangbing Zhu, et al.
Sensors (2023) Vol. 23, Iss. 5, pp. 2856-2856
Open Access | Times Cited: 9

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