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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.

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Showing 1-25 of 40 citing articles:

Improving Potato Yield Prediction by Combining Cultivar Information and UAV Remote Sensing Data Using Machine Learning
Dan Li, Yuxin Miao, Sanjay Gupta, et al.
Remote Sensing (2021) Vol. 13, Iss. 16, pp. 3322-3322
Open Access | Times Cited: 64
Estimation of Above-Ground Biomass of Winter Wheat Based on Consumer-Grade Multi-Spectral UAV
Falv Wang, Mao Yang, Longfei Ma, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1251-1251
Open Access | Times Cited: 57
Estimating Above-Ground Biomass of Potato Using Random Forest and Optimized Hyperspectral Indices
Haibo Yang, Fei Li, Wei Wang, et al.
Remote Sensing (2021) Vol. 13, Iss. 12, pp. 2339-2339
Open Access | Times Cited: 56
Prediction of the Nitrogen, Phosphorus and Potassium Contents in Grape Leaves at Different Growth Stages Based on UAV Multispectral Remote Sensing
Xuelian Peng, Dianyu Chen, Zhenjiang Zhou, et al.
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2659-2659
Open Access | Times Cited: 50
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: 9
Methodological evolution of potato yield prediction: a comprehensive review
Yongxin Lin, Shuang Li, Shaoguang Duan, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 19
A Review of the Use of Near-Infrared Hyperspectral Imaging (NIR-HSI) Techniques for the Non-Destructive Quality Assessment of Root and Tuber Crops
Michael Adesokan, Emmanuel Oladeji Alamu, Bolanle Otegbayo, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5226-5226
Open Access | Times Cited: 16
Comparison of Crop Trait Retrieval Strategies Using UAV-Based VNIR Hyperspectral Imaging
Asmaa Abdelbaki, Martin Schlerf, Rebecca Retzlaff, et al.
Remote Sensing (2021) Vol. 13, Iss. 9, pp. 1748-1748
Open Access | Times Cited: 40
Multi-dimensional variables and feature parameter selection for aboveground biomass estimation of potato based on UAV multispectral imagery
Shanjun Luo, Xueqin Jiang, Yingbin He, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 27
Remotely Sensed Prediction of Rice Yield at Different Growth Durations Using UAV Multispectral Imagery
Shanjun Luo, Xueqin Jiang, Weihua Jiao, et al.
Agriculture (2022) Vol. 12, Iss. 9, pp. 1447-1447
Open Access | Times Cited: 25
Remote Sensing for Monitoring Potato Nitrogen Status
Alfadhl Yahya Alkhaled, Philip A. Townsend, Yi Wang
American Journal of Potato Research (2023) Vol. 100, Iss. 1, pp. 1-14
Closed Access | Times Cited: 14
Can Yield Prediction Be Fully Digitilized? A Systematic Review
Nicoleta Darra, Evangelos Anastasiou, Olga Kriezi, et al.
Agronomy (2023) Vol. 13, Iss. 9, pp. 2441-2441
Open Access | Times Cited: 13
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: 5
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
Rapid Analysis of Starch, Sugar, and Amylose in Fresh Yam Tubers and Boiled Yam Texture Using Near-Infrared Hyperspectral Imaging and Chemometrics
Michael Adesokan, Emmanuel Oladeji Alamu, Bolanle Otegbayo, et al.
Journal of Food Composition and Analysis (2025), pp. 107425-107425
Closed Access
Land Use‐Land Cover and Hydrological Modeling: A Review
Amirhossein Shadmehri Toosi, Okke Batelaan, Margaret Shanafield, et al.
Wiley Interdisciplinary Reviews Water (2025) Vol. 12, Iss. 2
Open Access
Potato plant phenotyping and characterisation utilising machine learning techniques: A state-of-the-art review and current trends
Ciarán Miceal Johnson, Juan Sebastian Estrada, Fernando Auat Cheein
Computers and Electronics in Agriculture (2025) Vol. 234, pp. 110304-110304
Open Access
TKSF-KAN: Transformer-enhanced oat yield modeling and transferability across major oat-producing regions in China using UAV multisource data
Pengpeng Zhang, Bing Lu, Jiali Shang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 224, pp. 166-186
Closed Access
A review of remote sensing for potato traits characterization in precision agriculture
Chen Sun, Jing Zhou, Yuchi Ma, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 19
Digital Mapping of Root-Zone Soil Moisture Using UAV-Based Multispectral Data in a Kiwifruit Orchard of Northwest China
Shidan Zhu, Ningbo Cui, Ji Zhou, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 646-646
Open Access | Times Cited: 12
Transferability of models for predicting potato plant nitrogen content from remote sensing data and environmental variables across years and regions
Yiguang Fan, Haikuan Feng, Yang Liu, et al.
European Journal of Agronomy (2024) Vol. 161, pp. 127388-127388
Closed Access | Times Cited: 4
Combining a Crop Growth Model With CNN for Underground Natural Gas Leakage Detection Using Hyperspectral Imagery
Ying Du, Jinbao Jiang, Ziwei Liu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 1846-1856
Open Access | Times Cited: 17
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: 17
Evaluating the Dry Matter Content of Raw Yams Using Hyperspectral Imaging Spectroscopy and Machine Learning
Michael Adesokan, Bolanle Otegbayo, Emmanuel Oladeji Alamu, et al.
Journal of Food Composition and Analysis (2024) Vol. 135, pp. 106692-106692
Closed Access | Times Cited: 3
Yield prediction of root crops in field using remote sensing: A comprehensive review
Hanhui Jiang, Liguo Jiang, Leilei He, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109600-109600
Closed Access | Times Cited: 3
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