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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 1-25 of 119 citing articles:

Assessing Correlation of High-Resolution NDVI with Fertilizer Application Level and Yield of Rice and Wheat Crops Using Small UAVs
Senlin Guan, Koichiro Fukami, Hitoshi Matsunaka, et al.
Remote Sensing (2019) Vol. 11, Iss. 2, pp. 112-112
Open Access | Times Cited: 159
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
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
Review of Remote Sensing Applications in Grassland Monitoring
Zhaobin Wang, Yikun Ma, Yaonan Zhang, et al.
Remote Sensing (2022) Vol. 14, Iss. 12, pp. 2903-2903
Open Access | Times Cited: 96
A Review of Estimation Methods for Aboveground Biomass in Grasslands Using UAV
Clara Oliva Gonçalves Bazzo, Bahareh Kamali, Christoph Hütt, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 639-639
Open Access | Times Cited: 47
A Systematic Review of the Factors Influencing the Estimation of Vegetation Aboveground Biomass Using Unmanned Aerial Systems
Lucy G. Poley, Gregory J. McDermid
Remote Sensing (2020) Vol. 12, Iss. 7, pp. 1052-1052
Open Access | Times Cited: 120
Estimating biomass in temperate grassland with high resolution canopy surface models from UAV-based RGB images and vegetation indices
Ulrike Lussem, Andreas Bolten, J. Menne, et al.
Journal of Applied Remote Sensing (2019) Vol. 13, Iss. 03, pp. 1-1
Open Access | Times Cited: 92
High Throughput Field Phenotyping for Plant Height Using UAV-Based RGB Imagery in Wheat Breeding Lines: Feasibility and Validation
Leonardo Volpato, Francisco Pinto, Lorena González-Pérez, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 87
UAV-Based Biomass Estimation for Rice-Combining Spectral, TIN-Based Structural and Meteorological Features
Qi Jiang, Shenghui Fang, Yi Peng, et al.
Remote Sensing (2019) Vol. 11, Iss. 7, pp. 890-890
Open Access | Times Cited: 82
A Systematic Review on the Integration of Remote Sensing and GIS to Forest and Grassland Ecosystem Health Attributes, Indicators, and Measures
Irini Soubry, Thuy Doan, Thuan Chu, et al.
Remote Sensing (2021) Vol. 13, Iss. 16, pp. 3262-3262
Open Access | Times Cited: 73
Estimation of forage biomass and vegetation cover in grasslands using UAV imagery
Jérôme Théau, Étienne Lauzier-Hudon, Lydiane Aubé, et al.
PLoS ONE (2021) Vol. 16, Iss. 1, pp. e0245784-e0245784
Open Access | Times Cited: 64
An improved approach to estimate above-ground volume and biomass of desert shrub communities based on UAV RGB images
Peng Mao, Longjun Qin, Mengyu Hao, et al.
Ecological Indicators (2021) Vol. 125, pp. 107494-107494
Open Access | Times Cited: 57
Classification and mapping of European fuels using a hierarchical, multipurpose fuel classification system
Elena Aragoneses, Mariano Garcı́a, Michele Salis, et al.
Earth system science data (2023) Vol. 15, Iss. 3, pp. 1287-1315
Open Access | Times Cited: 39
Aboveground biomass retrieval of wetland vegetation at the species level using UAV hyperspectral imagery and machine learning
Wei Zhuo, Wu Nan, Runhe Shi, et al.
Ecological Indicators (2024) Vol. 166, pp. 112365-112365
Open Access | Times Cited: 10
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
A novel UAV-based approach for biomass prediction and grassland structure assessment in coastal meadows
Miguel Villoslada, Thaisa Bergamo, Raymond D. Ward, et al.
Ecological Indicators (2020) Vol. 122, pp. 107227-107227
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
Field phenotyping of plant height in an upland rice field in Laos using low-cost small unmanned aerial vehicles (UAVs)
Kensuke Kawamura, Hidetoshi Asai, Taisuke Yasuda, et al.
Plant Production Science (2020) Vol. 23, Iss. 4, pp. 452-465
Open Access | Times Cited: 64
Biomass and vegetation coverage survey in the Mu Us sandy land - based on unmanned aerial vehicle RGB images
Zichen Guo, Tao Wang, Shulin Liu, et al.
International Journal of Applied Earth Observation and Geoinformation (2020) Vol. 94, pp. 102239-102239
Open Access | Times Cited: 62
Beyond trees: Mapping total aboveground biomass density in the Brazilian savanna using high-density UAV-lidar data
Máira Beatriz Teixeira da Costa, Carlos Alberto Silva, Eben N. Broadbent, et al.
Forest Ecology and Management (2021) Vol. 491, pp. 119155-119155
Open Access | Times Cited: 51
Spatial patterns and driving factors of aboveground and belowground biomass over the eastern Eurasian steppe
Lei Ding, Zhenwang Li, Beibei Shen, et al.
The Science of The Total Environment (2021) Vol. 803, pp. 149700-149700
Open Access | Times Cited: 44
A systematic review on the use of remote sensing technologies in quantifying grasslands ecosystem services
Anita Masenyama, Onisimo Mutanga, Timothy Dube, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 1000-1025
Open Access | Times Cited: 35
A non-destructive method for rapid acquisition of grassland aboveground biomass for satellite ground verification using UAV RGB images
Huifang Zhang, Zhonggang Tang, Binyao Wang, et al.
Global Ecology and Conservation (2022) Vol. 33, pp. e01999-e01999
Open Access | Times Cited: 31
A 250 m annual alpine grassland AGB dataset over the Qinghai–Tibet Plateau (2000–2019) in China based on in situ measurements, UAV photos, and MODIS data
Huifang Zhang, Zhonggang Tang, Binyao Wang, et al.
Earth system science data (2023) Vol. 15, Iss. 2, pp. 821-846
Open Access | Times Cited: 20
Remote sensing for monitoring rangeland condition: Current status and development of methods
Angus Retallack, Graeme Finlayson, Bertram Ostendorf, et al.
Environmental and Sustainability Indicators (2023) Vol. 19, pp. 100285-100285
Open Access | Times Cited: 19
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