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:

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

Showing 1-25 of 29 citing articles:

UAV multispectral images for accurate estimation of the maize LAI considering the effect of soil background
Shuaibing Liu, Xiuliang Jin, Yi Bai, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 121, pp. 103383-103383
Open Access | Times Cited: 42
Combining UAV and Sentinel-2 satellite multi-spectral images to diagnose crop growth and N status in winter wheat at the county scale
Jie Jiang, Peter M. Atkinson, Chunsheng Chen, et al.
Field Crops Research (2023) Vol. 294, pp. 108860-108860
Open Access | Times Cited: 31
Ensemble and single algorithm models to handle multicollinearity of UAV vegetation indices for predicting rice biomass
Radhwane Derraz, Farrah Melissa Muharam, Khairudin Nurulhuda, et al.
Computers and Electronics in Agriculture (2023) Vol. 205, pp. 107621-107621
Closed Access | Times Cited: 24
UAV time-series imagery with novel machine learning to estimate heading dates of rice accessions for breeding
Mengqi Lyu, Xuqi Lu, Yutao Shen, et al.
Agricultural and Forest Meteorology (2023) Vol. 341, pp. 109646-109646
Closed Access | Times Cited: 23
Potential of multi-seasonal vegetation indices to predict rice yield from UAV multispectral observations
Xiaobo Sun, Panli Zhang, Zhenhua Wang, et al.
Precision Agriculture (2024) Vol. 25, Iss. 3, pp. 1235-1261
Closed Access | Times Cited: 10
An enhanced chlorophyll estimation model with a canopy structural trait in maize crops: Use of multi-spectral UAV images and machine learning algorithm
Gaurav Singhal, Burhan U. Choudhury, Naseeb Singh, et al.
Ecological Informatics (2024) Vol. 83, pp. 102811-102811
Open Access | Times Cited: 6
Automated Rice Phenology Stage Mapping Using UAV Images and Deep Learning
Xiangyu Lǚ, Jun Zhou, Rui Yang, et al.
Drones (2023) Vol. 7, Iss. 2, pp. 83-83
Open Access | Times Cited: 12
Soybean seed composition prediction from standing crops using PlanetScope satellite imagery and machine learning
Supria Sarkar, Vasit Sagan, Sourav Bhadra, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 204, pp. 257-274
Open Access | Times Cited: 12
A Comparison of UAV RGB and Multispectral Imaging in Phenotyping for Stay Green of Wheat Population
Xiao-Feng Cao, Yulin Liu, Rui Yu, et al.
Remote Sensing (2021) Vol. 13, Iss. 24, pp. 5173-5173
Open Access | Times Cited: 27
Unmanned aerial vehicles assisted rice seedling detection using shark smell optimization with deep learning model
Yousef Asiri
Physical Communication (2023) Vol. 59, pp. 102079-102079
Closed Access | Times Cited: 8
Soil moisture content estimation of drip-irrigated citrus orchard based on UAV images and machine learning algorithm in Southwest China
Quanshan Liu, Zongjun Wu, Ningbo Cui, et al.
Agricultural Water Management (2024) Vol. 303, pp. 109069-109069
Open Access | Times Cited: 3
Assessment of the neutrosophic Fuzzy-AHP and predictive power of some machine learning approaches for maize silage soil quality
Nursaç Serda Kaya, Orhan Dengız
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109446-109446
Closed Access | Times Cited: 3
Improving the Estimation of Apple Leaf Photosynthetic Pigment Content Using Fractional Derivatives and Machine Learning
Jinpeng Cheng, Guijun Yang, Weimeng Xu, et al.
Agronomy (2022) Vol. 12, Iss. 7, pp. 1497-1497
Open Access | Times Cited: 13
Simulating Canopy Temperature Using a Random Forest Model to Calculate the Crop Water Stress Index of Chinese Brassica
Mingxin Yang, Peng Gao, Ping Zhou, et al.
Agronomy (2021) Vol. 11, Iss. 11, pp. 2244-2244
Open Access | Times Cited: 17
Enhanced Crop LAI Estimation via Random Forest Regression: Bayesian Optimization and Feature Selection Approach
Jun Zhang, Qiang Wu, C. Liu, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
Spatial Analysis of Agronomic Data and UAV Imagery for Rice Yield Estimation
Nikolas Perros, Dionissios Kalivas, Rigas Giovos
Agriculture (2021) Vol. 11, Iss. 9, pp. 809-809
Open Access | Times Cited: 14
Semantics Analysis of Agricultural Experts’ Opinions for Crop Productivity through Machine Learning
Mehak Rehman, Abdul Razzaq, Irfan Ahmad Baig, et al.
Applied Artificial Intelligence (2021) Vol. 36, Iss. 1
Open Access | Times Cited: 13
Predicting Dry Pea Maturity Using Machine Learning and Advanced Sensor Fusion with Unmanned Aerial Systems (UASs)
Aliasghar Bazrafkan, Harry Navasca, Jeong Hwa Kim, et al.
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2758-2758
Open Access | Times Cited: 5
An enhanced tunicate swarm algorithm with deep-learning based rice seedling classification for sustainable computing based smart agriculture
Manal Abdullah Alohali, Fuad Al-Mutiri, Kamal M. Othman, et al.
AIMS Mathematics (2024) Vol. 9, Iss. 4, pp. 10185-10207
Open Access | Times Cited: 1
GABoT: A Lightweight Real-Time Adaptable Approach for Intelligent Fault Diagnosis of Rotating Machinery
Duygu Bağcı Daş, Oğuzhan Daş
Journal of Vibration Engineering & Technologies (2024)
Open Access | Times Cited: 1
Trigonometric-Euclidean-Smoother Interpolator (TESI) for continuous time-series and non-time-series data augmentation for deep neural network applications in agriculture
Radhwane Derraz, Farrah Melissa Muharam, Noraini Md Jaafar, et al.
Computers and Electronics in Agriculture (2023) Vol. 206, pp. 107646-107646
Closed Access | Times Cited: 3
ORYZA (v3) rice crop growth modeling for MR269 under nitrogen treatments: Assessment of cross-validation on parameter variability
Khairudin Nurulhuda, Farrah Melissa Muharam, Nurul Aina Najwa Shahar, et al.
Computers and Electronics in Agriculture (2022) Vol. 195, pp. 106809-106809
Closed Access | Times Cited: 5
The field phenotyping platform's next darling: Dicotyledons
Xiuni Li, Xiangyao Xu, Menggen Chen, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 4
A Consolidated Tree Structure Combining Multiple Regression Trees With Varying Depths, Resulting in an Efficient Ensemble Model
Elmira Ashoor Mahani, Koorush Ziarati
Informatica (2023) Vol. 47, Iss. 9
Open Access | Times Cited: 1
Analysis of the Effects of Population Structure and Environmental Factors on Rice Nitrogen Nutrition Index and Yield Based on Machine Learning
Yan Jia, Yu Zhao, Huimiao Ma, et al.
Agronomy (2024) Vol. 14, Iss. 5, pp. 1028-1028
Open Access
Page 1 - Next Page

Scroll to top