Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Grain yield prediction of rice using multi-temporal UAV-based RGB and multispectral images and model transfer – a case study of small farmlands in the South of China
Liang Wan, Haiyan Cen, Jiangpeng Zhu, et al.
Agricultural and Forest Meteorology (2020) Vol. 291, pp. 108096-108096
Closed Access | Times Cited: 238

Showing 1-25 of 238 citing articles:

Machine Learning in Agriculture: A Comprehensive Updated Review
Lefteris Benos, Aristotelis C. Tagarakis, Georgios Dolias, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3758-3758
Open Access | Times Cited: 526
Application of Machine Learning Algorithms in Plant Breeding: Predicting Yield From Hyperspectral Reflectance in Soybean
Mohsen Yoosefzadeh-Najafabadi, Hugh J. Earl, Dan Tulpan, et al.
Frontiers in Plant Science (2021) Vol. 11
Open Access | Times Cited: 178
A Comprehensive Survey of the Recent Studies with UAV for Precision Agriculture in Open Fields and Greenhouses
Muhammet Fatih Aslan, Akif Durdu, Kadir Sabancı, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1047-1047
Open Access | Times Cited: 171
UAV-based chlorophyll content estimation by evaluating vegetation index responses under different crop coverages
Lang Qiao, Weijie Tang, Dehua Gao, et al.
Computers and Electronics in Agriculture (2022) Vol. 196, pp. 106775-106775
Closed Access | Times Cited: 144
High-Throughput Plant Phenotyping Platform (HT3P) as a Novel Tool for Estimating Agronomic Traits From the Lab to the Field
Daoliang Li, Chaoqun Quan, Zhaoyang Song, et al.
Frontiers in Bioengineering and Biotechnology (2021) Vol. 8
Open Access | Times Cited: 125
Machine Learning-Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images
Yahui Guo, Shouzhi Chen, Xinxi Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 6, pp. 1337-1337
Open Access | Times Cited: 112
Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review
Md. Abrar Istiak, M. M. Mahbubul Syeed, Md Shakhawat Hossain, et al.
Ecological Informatics (2023) Vol. 78, pp. 102305-102305
Closed Access | Times Cited: 73
Crop monitoring by multimodal remote sensing: A review
Priyabrata Karmakar, Shyh Wei Teng, Manzur Murshed, et al.
Remote Sensing Applications Society and Environment (2023) Vol. 33, pp. 101093-101093
Open Access | Times Cited: 52
Optical remote sensing of crop biophysical and biochemical parameters: An overview of advances in sensor technologies and machine learning algorithms for precision agriculture
Mahlatse Kganyago, Clement Adjorlolo, Paidamwoyo Mhangara, et al.
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108730-108730
Open Access | Times Cited: 35
Evaluation of wheat yield in North China Plain under extreme climate by coupling crop model with machine learning
Huizi Bai, Dengpan Xiao, Jianzhao Tang, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108651-108651
Closed Access | Times Cited: 19
Modern computational approaches for rice yield prediction: A systematic review of statistical and machine learning-based methods
Djavan De Clercq, Adam Mahdi
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109852-109852
Closed Access | Times Cited: 2
Combining plant height, canopy coverage and vegetation index from UAV-based RGB images to estimate leaf nitrogen concentration of summer maize
Junsheng Lu, Dongling Cheng, Chenming Geng, et al.
Biosystems Engineering (2020) Vol. 202, pp. 42-54
Closed Access | Times Cited: 106
Combining spectral and textural information in UAV hyperspectral images to estimate rice grain yield
Fumin Wang, Qiuxiang Yi, Jinghui Hu, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102397-102397
Open Access | Times Cited: 104
Improving estimation of LAI dynamic by fusion of morphological and vegetation indices based on UAV imagery
Lang Qiao, Dehua Gao, Ruomei Zhao, et al.
Computers and Electronics in Agriculture (2021) Vol. 192, pp. 106603-106603
Closed Access | Times Cited: 88
Advances in optical phenotyping of cereal crops
Dawei Sun, Kelly R. Robbins, Nicolás Morales, et al.
Trends in Plant Science (2021) Vol. 27, Iss. 2, pp. 191-208
Closed Access | Times Cited: 82
Combining transfer learning and hyperspectral reflectance analysis to assess leaf nitrogen concentration across different plant species datasets
Liang Wan, Weijun Zhou, Yong He, et al.
Remote Sensing of Environment (2021) Vol. 269, pp. 112826-112826
Closed Access | Times Cited: 80
Remote estimation of grain yield based on UAV data in different rice cultivars under contrasting climatic zone
Bo Duan, Shenghui Fang, Yan Gong, et al.
Field Crops Research (2021) Vol. 267, pp. 108148-108148
Closed Access | Times Cited: 72
Integrating spectral and textural information for identifying the tasseling date of summer maize using UAV based RGB images
Yahui Guo, Yongshuo H. Fu, Shouzhi Chen, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102435-102435
Open Access | Times Cited: 71
Remote estimation of leaf area index (LAI) with unmanned aerial vehicle (UAV) imaging for different rice cultivars throughout the entire growing season
Yan Gong, Kaili Yang, Zhiheng Lin, et al.
Plant Methods (2021) Vol. 17, Iss. 1
Open Access | Times Cited: 67
An intelligent system for crop identification and classification from UAV images using conjugated dense convolutional neural network
Akshay Pandey, Kamal Jain
Computers and Electronics in Agriculture (2021) Vol. 192, pp. 106543-106543
Closed Access | Times Cited: 66
Drones in emergency response – evidence from cross-border, multi-disciplinary usability tests
Christian Wankmüller, Maximilian Kunovjanek, Sebastian Mayrgündter
International Journal of Disaster Risk Reduction (2021) Vol. 65, pp. 102567-102567
Closed Access | Times Cited: 61
Simultaneous Prediction of Wheat Yield and Grain Protein Content Using Multitask Deep Learning from Time-Series Proximal Sensing
Zhuangzhuang Sun, Qing Li, Shichao Jin, et al.
Plant Phenomics (2022) Vol. 2022
Open Access | Times Cited: 56
Novel CropdocNet Model for Automated Potato Late Blight Disease Detection from Unmanned Aerial Vehicle-Based Hyperspectral Imagery
Yue Shi, Liangxiu Han, Anthony Kleerekoper, et al.
Remote Sensing (2022) Vol. 14, Iss. 2, pp. 396-396
Open Access | Times Cited: 52
An improved approach to estimate ratoon rice aboveground biomass by integrating UAV-based spectral, textural and structural features
Le Xu, Longfei Zhou, Ran Meng, et al.
Precision Agriculture (2022) Vol. 23, Iss. 4, pp. 1276-1301
Closed Access | Times Cited: 52
The Optimal Phenological Phase of Maize for Yield Prediction with High-Frequency UAV Remote Sensing
Bin Yang, Wanxue Zhu, Ehsan Eyshi Rezaei, et al.
Remote Sensing (2022) Vol. 14, Iss. 7, pp. 1559-1559
Open Access | Times Cited: 46
Page 1 - Next Page

Scroll to top