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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 potato above-ground biomass by using integrated unmanned aerial system-based optical, structural, and textural canopy measurements
Yang Liu, Haikuan Feng, Jibo Yue, et al.
Computers and Electronics in Agriculture (2023) Vol. 213, pp. 108229-108229
Closed Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Estimating potato above-ground biomass based on vegetation indices and texture features constructed from sensitive bands of UAV hyperspectral imagery
Yang Liu, Yiguang Fan, Haikuan Feng, et al.
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108918-108918
Closed Access | Times Cited: 53
Improving potato above ground biomass estimation combining hyperspectral data and harmonic decomposition techniques
Yang Liu, Haikuan Feng, Yiguang Fan, et al.
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108699-108699
Closed Access | Times Cited: 50
Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data
Yang Liu, Haikuan Feng, Jibo Yue, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108808-108808
Closed Access | Times Cited: 48
A model suitable for estimating above-ground biomass of potatoes at different regional levels
Yang Liu, Yiguang Fan, Jibo Yue, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109081-109081
Closed Access | Times Cited: 34
Utilizing UAV-based hyperspectral remote sensing combined with various agronomic traits to monitor potato growth and estimate yield
Yang Liu, Haikuan Feng, Yiguang Fan, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109984-109984
Closed Access | Times Cited: 10
Estimation of winter canola growth parameter from UAV multi-angular spectral-texture information using stacking-based ensemble learning model
Ruiqi Du, Junsheng Lu, Youzhen Xiang, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109074-109074
Closed Access | Times Cited: 14
The Application of Deep Learning in the Whole Potato Production Chain: A Comprehensive Review
Rui-Feng Wang, Wen‐Hao Su
Agriculture (2024) Vol. 14, Iss. 8, pp. 1225-1225
Open Access | Times Cited: 13
Estimation of potato yield using a semi-mechanistic model developed by proximal remote sensing and environmental variables
Yiguang Fan, Yang Liu, Jibo Yue, et al.
Computers and Electronics in Agriculture (2024) Vol. 223, pp. 109117-109117
Closed Access | Times Cited: 12
Improved estimation of canopy water status in cotton using vegetation indices along with textural information from UAV-based multispectral images
Shengzhao Pei, Yulong Dai, Zhentao Bai, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109176-109176
Closed Access | Times Cited: 11
Evaluating machine learning approaches for aboveground biomass prediction in fragmented high-elevated forests using multi-sensor satellite data
Asim Qadeer, Muhammad Shakir, Li Wang, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 36, pp. 101291-101291
Closed Access | Times Cited: 11
Unmanned aerial vehicle-based assessment of rice leaf chlorophyll content dynamics across genotypes
Qing Gu, Fudeng Huang, Weidong Lou, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 108939-108939
Closed Access | Times Cited: 9
Analyzing winter-wheat biochemical traits using hyperspectral remote sensing and deep learning
Jibo Yue, Guijun Yang, Changchun Li, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109026-109026
Closed Access | Times Cited: 9
Improving Wheat Leaf Nitrogen Concentration (LNC) Estimation across Multiple Growth Stages Using Feature Combination Indices (FCIs) from UAV Multispectral Imagery
Xiangxiang Su, 櫻井 克年, Yue Hu, et al.
Agronomy (2024) Vol. 14, Iss. 5, pp. 1052-1052
Open Access | Times Cited: 9
A systematic review on precision agriculture applied to sunflowers, the role of hyperspectral imaging
Luana Centorame, Alessio Ilari, Andrea Gatto, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109097-109097
Open Access | Times Cited: 9
Garlic yield monitoring using vegetation indices and texture features derived from UAV multispectral imagery
Andrea Marcone, Giorgio Impollonia, Michele Croci, et al.
Smart Agricultural Technology (2024) Vol. 8, pp. 100513-100513
Open Access | Times Cited: 9
Combining features selection strategy and features fusion strategy for SPAD estimation of winter wheat based on UAV multispectral imagery
Xiangxiang Su, 櫻井 克年, Hiba Shaghaleh, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 8
Pretrained Deep Learning Networks and Multispectral Imagery Enhance Maize LCC, FVC, and Maturity Estimation
Jingyu Hu, Hao Feng, Qilei Wang, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 784-784
Open Access | Times Cited: 7
Estimation of wheat biomass based on phenological identification and spectral response
Tao Liu, Tianle Yang, Shaolong Zhu, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109076-109076
Closed Access | Times Cited: 7
Exploring multi-features in UAV based optical and thermal infrared images to estimate disease severity of wheat powdery mildew
Yang Liu, Guohui Liu, Hong Sun, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109285-109285
Closed Access | Times Cited: 7
Crop aboveground biomass monitoring model based on UAV spectral index reconstruction and Bayesian model averaging: A case study of film-mulched wheat and maize
Zhikai Cheng, Xiaobo Gu, Zhihui Zhou, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109190-109190
Closed Access | Times Cited: 6
A novel vegetation-water resistant soil moisture index for remotely assessing soil surface moisture content under the low-moderate wheat cover
Jibo Yue, Ting Li, Yang Liu, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109223-109223
Closed Access | Times Cited: 6
Using spectral vegetation indices and machine learning models for predicting the yield of sugar beet (Beta vulgaris L.) under different irrigation treatments
Hasan Ali Irık, Ewa Ropelewska, Necati Çetin
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 109019-109019
Closed Access | Times Cited: 5
Study on the Estimation of Leaf Area Index in Rice Based on UAV RGB and Multispectral Data
Yuan Zhang, Youyi Jiang, Bo Xu, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 3049-3049
Open Access | Times Cited: 5
Optimizing window size and directional parameters of GLCM texture features for estimating rice AGB based on UAVs multispectral imagery
Jikai Liu, Yongji Zhu, Lijuan Song, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 13
Utilizing Spectral, Structural and Textural Features for Estimating Oat Above-Ground Biomass Using UAV-Based Multispectral Data and Machine Learning
Rakshya Dhakal, Maitiniyazi Maimaitijiang, Jiyul Chang, et al.
Sensors (2023) Vol. 23, Iss. 24, pp. 9708-9708
Open Access | Times Cited: 12
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