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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:

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

Showing 26-50 of 82 citing articles:

Combining spectral and wavelet texture features for unmanned aerial vehicles remote estimation of rice leaf area index
Zhou Cong, Yan Gong, Shenghui Fang, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 24
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
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
Vision-based trajectory generation and tracking algorithm for maneuvering of a paddy field robot
Dengbin Fu, Zhiying Chen, Zhiqiang Yao, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109368-109368
Closed Access | Times Cited: 5
Quantifying rice dry biomass to determine the influence of straw burning on BC and NO2 emissions in the Hanoi metropolitan region
Van The Pham, Anh Ngoc Thi
Environmental Monitoring and Assessment (2024) Vol. 197, Iss. 1
Closed Access | Times Cited: 5
Structure from Motion Point Clouds for Structural Monitoring
Fausto Mistretta, G. Sanna, Flavio Stochino, et al.
Remote Sensing (2019) Vol. 11, Iss. 16, pp. 1940-1940
Open Access | Times Cited: 43
UAV- and Random-Forest-AdaBoost (RFA)-Based Estimation of Rice Plant Traits
Farrah Melissa Muharam, Khairudin Nurulhuda, Zed Zulkafli, et al.
Agronomy (2021) Vol. 11, Iss. 5, pp. 915-915
Open Access | Times Cited: 29
Unmanned Aircraft System- (UAS-) Based High-Throughput Phenotyping (HTP) for Tomato Yield Estimation
Anjin Chang, Jinha Jung, Junho Yeom, et al.
Journal of Sensors (2021) Vol. 2021, pp. 1-14
Open Access | Times Cited: 28
Using Unmanned Aerial Vehicle-Based Multispectral Image Data to Monitor the Growth of Intercropping Crops in Tea Plantation
Yujie Shi, Yuan Gao, Yu Wang, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 20
Land damage assessment using maize aboveground biomass estimated from unmanned aerial vehicle in high groundwater level regions affected by underground coal mining
He Ren, Wu Xiao, Zhao Yanling, et al.
Environmental Science and Pollution Research (2020) Vol. 27, Iss. 17, pp. 21666-21679
Closed Access | Times Cited: 30
Determining changes in building tilts based on UAV photogrammetry
Katarzyna Strząbała, Paweł Ćwiąkała, Wojciech Gruszczyński, et al.
Measurement (2022) Vol. 202, pp. 111772-111772
Open Access | Times Cited: 19
Multispectral remote sensing for accurate acquisition of rice phenotypes: Impacts of radiometric calibration and unmanned aerial vehicle flying altitudes
Shanjun Luo, Xueqin Jiang, Kaili Yang, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 18
Estimating the frost damage index in lettuce using UAV-based RGB and multispectral images
Yiwen Liu, Songtao Ban, Shiwei Wei, et al.
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 4
UAV-based rice aboveground biomass estimation using a random forest model with multi-organ feature selection
Jing Shi, Kaili Yang, Ningge Yuan, et al.
European Journal of Agronomy (2025) Vol. 164, pp. 127529-127529
Open Access
Utility of UAS-LIDAR for estimating forest structural attributes of the Miombo woodlands in Zambia
Hastings Shamaoma, Paxie W. Chirwa, Jules Christian Zekeng, et al.
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0315664-e0315664
Open Access
Field Ridge Segmentation and Navigation Line Coordinate Extraction of Paddy Field Images Based on Machine Vision Fused with GNSS
Muhua Liu, xiaoliang wu, Peng Fang, et al.
Agriculture (2025) Vol. 15, Iss. 6, pp. 627-627
Open Access
Integrating UAV and satellite LAI data into a modified DSSAT-rapeseed model to improve yield predictions
Chufeng Wang, Lin Ling, Jie Kuai, et al.
Field Crops Research (2025) Vol. 327, pp. 109883-109883
Closed Access
Maize biomass estimation by integrating spectral, structural, and textural features from unmanned aerial vehicle data
Lin Meng, Bo Ming, Yuan Liu, et al.
European Journal of Agronomy (2025) Vol. 168, pp. 127647-127647
Closed Access
Mature Rice Biomass Estimation Using UAV-Derived RGB Vegetation Indices and Growth Parameters
Mengguang Liao, Yun Wang, Nan Chu, et al.
Sensors (2025) Vol. 25, Iss. 9, pp. 2798-2798
Open Access
Novel machine learning framework for high-resolution sorghum biomass estimation using multi-temporal UAV imagery
Emre Tunca, Eyüp Seli̇m Köksal, Hasan Akay, et al.
International Journal of Environmental Science and Technology (2025)
Open Access
Robustness of the RGB image-based estimation for rice above-ground biomass by utilizing the dataset collected across multiple locations
Kota Nakajima, Kazuki Saito, Yasuhiro Tsujimoto, et al.
Smart Agricultural Technology (2025), pp. 100998-100998
Open Access
UAV-BASED SORGHUM GROWTH MONITORING: A COMPARATIVE ANALYSIS OF LIDAR AND PHOTOGRAMMETRY
Maitiniyazi Maimaitijiang, Vasit Sagan, H. Erkbol, et al.
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (2020) Vol. V-3-2020, pp. 489-496
Open Access | Times Cited: 25
Comparison of Remote Sensing Methods for Plant Heights in Agricultural Fields Using Unmanned Aerial Vehicle-Based Structure From Motion
Ryo Fujiwara, Tomohiro Kikawada, Hisashi Sato, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 15
A novel neural network model to achieve generality for diverse morphologies and crop science interpretability in rice biomass estimation
Tomoaki Yamaguchi, Keisuke Katsura
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108653-108653
Open Access | Times Cited: 3
Estimation of Millet Aboveground Biomass Utilizing Multi-Source UAV Image Feature Fusion
Zhongyu Yang, Zirui Yu, Xiaoyun Wang, et al.
Agronomy (2024) Vol. 14, Iss. 4, pp. 701-701
Open Access | Times Cited: 3

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