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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 vertically growing crop above-ground biomass based on UAV remote sensing
Jibo Yue, Hao Yang, Guijun Yang, et al.
Computers and Electronics in Agriculture (2023) Vol. 205, pp. 107627-107627
Closed Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

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: 60
Improved potato AGB estimates based on UAV RGB and hyperspectral images
Yang Liu, Haikuan Feng, Jibo Yue, et al.
Computers and Electronics in Agriculture (2023) Vol. 214, pp. 108260-108260
Closed Access | Times Cited: 60
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: 49
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: 45
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: 6
Estimation of potato above-ground biomass based on the VGC-AGB model and deep learning
Haikuan Feng, Yiguang Fan, Jibo Yue, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110122-110122
Closed Access | Times Cited: 2
Substantial Differences in Crop Yield Sensitivities Between Models Call for Functionality‐Based Model Evaluation
Christoph Müller, Jonas Jägermeyr, James Franke, et al.
Earth s Future (2024) Vol. 12, Iss. 3
Open 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: 8
Advancing soybean biomass estimation through multi-source UAV data fusion and machine learning algorithms
Haitao Da, Yaxin Li, Le Xu, et al.
Smart Agricultural Technology (2025) Vol. 10, pp. 100778-100778
Open Access | Times Cited: 1
A Three-Dimensional Conceptual Model for Estimating the Above-Ground Biomass of Winter Wheat Using Digital and Multispectral Unmanned Aerial Vehicle Images at Various Growth Stages
Yongji Zhu, Jikai Liu, Xinyu Tao, et al.
Remote Sensing (2023) Vol. 15, Iss. 13, pp. 3332-3332
Open Access | Times Cited: 17
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
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: 7
A fast and lightweight detection model for wheat fusarium head blight spikes in natural environments
Chunfeng Gao, Wei Guo, Chenghai Yang, et al.
Computers and Electronics in Agriculture (2023) Vol. 216, pp. 108484-108484
Closed Access | Times Cited: 15
Improving efficiency of ground-truth data collection for UAV-based rice growth estimation models: investigating the effect of sampling size on model accuracy
Tomoaki Yamaguchi, Kana Sasano, Keisuke Katsura
Plant Production Science (2024) Vol. 27, Iss. 1, pp. 1-13
Open Access | Times Cited: 5
Remote sensing monitoring of rice growth under Cnaphalocrocis medinalis (Guenée) damage by integrating satellite and UAV remote sensing data
Chen Chen, Yunxuan Bao, Feng Zhu, et al.
International Journal of Remote Sensing (2024) Vol. 45, Iss. 3, pp. 772-790
Open Access | Times Cited: 5
Perspectives on the application of remote sensing technology in the cultivation of medicinal plants
Liwen Zhong, Xuemei Wu, Rong Ding, et al.
International Journal of Remote Sensing (2025), pp. 1-34
Closed Access
A combined model of shoot phosphorus uptake based on sparse data and active learning algorithm
Tianli Wang, Yi Zhang, Haiyan Liu, et al.
Frontiers in Plant Science (2025) Vol. 15
Open Access
Assessment of UAV Imageries for Estimating Growth Vitality, Yield and Quality of Hop (Humulus lupulus L.) Crops
Jana Seidlova, Matěj Kohútek, Věra Vandírková, et al.
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 970-970
Open Access
Spatiotemporal analysis of AGB and BGB in China: Responses to climate change under SSP scenarios
Chuanmei Zhu, Yupu Li, Jianli Ding, et al.
Geoscience Frontiers (2025), pp. 102038-102038
Open Access
Drone RGB Imagery Color and Texture Information Have Varied Importance in Predicting Potato Aboveground Biomass in Different Growth Stages
Hang Yin, Haibo Yang, Yuncai Hu, et al.
Potato Research (2025)
Closed Access
A UAV-based hybrid approach for improving aboveground dry biomass estimation of winter wheat
Zhao Yu, Haikuan Feng, Shaoyu Han, et al.
European Journal of Agronomy (2025) Vol. 168, pp. 127638-127638
Closed Access
Enhancing leaf area index and biomass estimation in maize with feature augmentation from unmanned aerial vehicle-based nadir and cross-circling oblique photography
Shuaipeng Fei, Shunfu Xiao, Qing Li, et al.
Computers and Electronics in Agriculture (2023) Vol. 215, pp. 108462-108462
Closed Access | Times Cited: 12
UAV-Based Remote Sensing for Soybean FVC, LCC, and Maturity Monitoring
Jingyu Hu, Jibo Yue, Xin Xu, et al.
Agriculture (2023) Vol. 13, Iss. 3, pp. 692-692
Open Access | Times Cited: 11
Diagnosis alfalfa salt stress based on UAV multispectral image texture and vegetation index
Hong Mā, Wenju Zhao, Haiying Yu, et al.
Plant and Soil (2025)
Closed Access
A Review of Advances in Computer Vision, Multi/Hyperspectral Imaging, UAVs, and Agri-Bots
Muhammad Jawad Bashir, Rafia Mumtaz
Advances in computational intelligence and robotics book series (2025), pp. 149-190
Closed Access
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