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:

Development of remote sensing-based yield prediction models at the maturity stage of boro rice using parametric and nonparametric approaches
Md. Monirul Islam, Shusuke Matsushita, Ryozo Noguchi, et al.
Remote Sensing Applications Society and Environment (2021) Vol. 22, pp. 100494-100494
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

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

Field-scale rice yield prediction from Sentinel-2 monthly image composites using machine learning algorithms
Nguyễn Thanh Sơn, Chi-Farn Chen, Youg-Sin Cheng, et al.
Ecological Informatics (2022) Vol. 69, pp. 101618-101618
Closed Access | Times Cited: 46

Rapid Rice Yield Estimation Using Integrated Remote Sensing and Meteorological Data and Machine Learning
Md Didarul Islam, Liping Di, Faisal Mueen Qamer, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2374-2374
Open Access | Times Cited: 29

Feasibility of machine learning-based rice yield prediction in India at the district level using climate reanalysis and remote sensing data
Djavan De Clercq, Adam Mahdi
Agricultural Systems (2024) Vol. 220, pp. 104099-104099
Closed Access | Times Cited: 8

Machine learning system to assess rice crop change detection from satellite-derived RGVI due to tropical cyclones using remote sensing dataset
Md. Shamsuzzoha, Rajib Shaw, Tofael Ahamed
Remote Sensing Applications Society and Environment (2024) Vol. 35, pp. 101201-101201
Closed Access | Times Cited: 6

Paddy crop insurance using satellite-based composite index of crop performance
C. S. Murthy, Malay Kumar Poddar, Karun Kumar Choudhary, et al.
Geomatics Natural Hazards and Risk (2022) Vol. 13, Iss. 1, pp. 310-336
Open Access | Times Cited: 21

Monitoring and classifying cropland productivity degradation to support implementing land degradation neutrality: The case of China
Bo Han, Xiaobin Jin, Jin Jiaxin, et al.
Environmental Impact Assessment Review (2022) Vol. 99, pp. 107000-107000
Closed Access | Times Cited: 20

Hierarchical Bayes Small Area Estimation for Rice Yield Using Remote Sensing Data
Pooja Rawat, Manoj Kumar, Anurag Airon
Model Assisted Statistics and Applications (2025)
Closed Access

Rice yield prediction model using normalized vegetation and water indices from Sentinel-2A satellite imagery datasets
Aung Myint Htun, Md. Shamsuzzoha, Tofael Ahamed
Asia-Pacific Journal of Regional Science (2023) Vol. 7, Iss. 2, pp. 491-519
Closed Access | Times Cited: 9

Rice Yield Loss Area Assessment from Satellite-derived NDVI after Extreme Climatic Events Using a Fuzzy Approach
Md. Shamsuzzoha, Ryozo Noguchi, Tofael Ahamed
Agricultural Information Research (2022) Vol. 31, Iss. 1, pp. 32-46
Open Access | Times Cited: 14

Estimating Coffee Plant Yield Based on Multispectral Images and Machine Learning Models
Abreu Júnior, George Deroco Martins, Laura Cristina Moura Xavier, et al.
Agronomy (2022) Vol. 12, Iss. 12, pp. 3195-3195
Open Access | Times Cited: 13

A Review of Remote Sensing Applications in Agriculture and Forestry to Establish Big Data Analytics
Sara Tokhi Arab, Md. Monirul Islam, Md. Shamsuzzoha, et al.
New frontiers in regional science: Asian perspectives (2022), pp. 1-24
Closed Access | Times Cited: 12

Phenological analysis and yield estimation of rice based on multi-spectral and SAR data in Maha Sarakham, Thailand
Tingyan Fu, Shufang Tian, Qian Zhan
Journal of Spatial Science (2023) Vol. 69, Iss. 1, pp. 149-165
Open Access | Times Cited: 6

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

Assessing the impacts of natural disasters on rice production in Jiangxi, China
Xiao Fu, Guannan Zhao, Weicheng Wu, et al.
International Journal of Remote Sensing (2022) Vol. 43, Iss. 5, pp. 1919-1941
Open Access | Times Cited: 7

Winter Wheat Maturity Prediction via Sentinel-2 MSI Images
Jibo Yue, Ting Li, Jianing Shen, et al.
Agriculture (2024) Vol. 14, Iss. 8, pp. 1368-1368
Open Access | Times Cited: 1

Climate Shocks, Intimate Partner Violence, and the Protective Role of Climate-Resilience Projects
Amanda Guimbeau, Xinde Ji, Nidhiya Menon
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 1

Crop Insurance Premium Recommendation System Using Artificial Intelligence Techniques
M. Prakash, P. Saravanan
International Journal of Professional Business Review (2023) Vol. 8, Iss. 4, pp. e01270-e01270
Open Access | Times Cited: 2

Land Suitability Analysis for Grape (Vitis vinifera L.) Production Using Satellite Remote Sensing, GIS, and Analytical Hierarchy Process
Sara Tokhi Arab, Tariq Salari, Ryozo Noguchi, et al.
New frontiers in regional science: Asian perspectives (2022), pp. 149-184
Closed Access | Times Cited: 3

Application of normalized difference vegetation index in agriculture to estimate rice yield
Hamizah Rhymee, Uditha Ratnayake, Ena Kartina Abdul Rahman, et al.
AIP conference proceedings (2023) Vol. 2643, pp. 030022-030022
Closed Access | Times Cited: 1

Curating Multimodal Satellite Imagery for Precision Agriculture Datasets with Google Earth Engine
Bagus Setyawan Wijaya, Rinaldi Munir, Nugraha Priya Utama
Proceedings of The International Conference on Data Science and Official Statistics (2023) Vol. 2023, Iss. 1, pp. 368-381
Open Access | Times Cited: 1

Page 1 - Next Page

Scroll to top