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:

ChinaCropPhen1km: a high-resolution crop phenological dataset for three staple crops in China during 2000–2015 based on leaf area index (LAI) products
Yuchuan Luo, Zhao Zhang, Yi Chen, et al.
Earth system science data (2020) Vol. 12, Iss. 1, pp. 197-214
Open Access | Times Cited: 216

Showing 1-25 of 216 citing articles:

Integrating Multi-Source Data for Rice Yield Prediction across China using Machine Learning and Deep Learning Approaches
Juan Cao, Zhao Zhang, Fulu Tao, et al.
Agricultural and Forest Meteorology (2020) Vol. 297, pp. 108275-108275
Closed Access | Times Cited: 249
High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms
Xiuliang Jin, Pablo J. Zarco‐Tejada, Urs Schmidhalter, et al.
IEEE Geoscience and Remote Sensing Magazine (2020) Vol. 9, Iss. 1, pp. 200-231
Open Access | Times Cited: 222
Ozone pollution threatens the production of major staple crops in East Asia
Zhaozhong Feng, Yansen Xu, Kazuhiko Kobayashi, et al.
Nature Food (2022) Vol. 3, Iss. 1, pp. 47-56
Closed Access | Times Cited: 213
Wheat yield predictions at a county and field scale with deep learning, machine learning, and google earth engine
Juan Cao, Zhao Zhang, Yuchuan Luo, et al.
European Journal of Agronomy (2020) Vol. 123, pp. 126204-126204
Closed Access | Times Cited: 156
Identifying the spatiotemporal changes of annual harvesting areas for three staple crops in China by integrating multi-data sources
Yuchuan Luo, Zhao Zhang, Ziyue Li, et al.
Environmental Research Letters (2020) Vol. 15, Iss. 7, pp. 074003-074003
Open Access | Times Cited: 148
Integrating satellite-derived climatic and vegetation indices to predict smallholder maize yield using deep learning
Liangliang Zhang, Zhao Zhang, Yuchuan Luo, et al.
Agricultural and Forest Meteorology (2021) Vol. 311, pp. 108666-108666
Closed Access | Times Cited: 107
Global data on fertilizer use by crop and by country
Cameron I. Ludemann, Armelle Gruere, Patrick Heffer, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 89
phenofit: An R package for extracting vegetation phenology from time series remote sensing
Dongdong Kong, Tim R. McVicar, Mingzhong Xiao, et al.
Methods in Ecology and Evolution (2022) Vol. 13, Iss. 7, pp. 1508-1527
Open Access | Times Cited: 79
A daily and 500 m coupled evapotranspiration and gross primary production product across China during 2000–2020
Shaoyang He, Yongqiang Zhang, Ning Ma, et al.
Earth system science data (2022) Vol. 14, Iss. 12, pp. 5463-5488
Open Access | Times Cited: 75
The Improved Winter Wheat Yield Estimation by Assimilating GLASS LAI Into a Crop Growth Model With the Proposed Bayesian Posterior-Based Ensemble Kalman Filter
Hai Huang, Jianxi Huang, Yantong Wu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-18
Closed Access | Times Cited: 72
Integrating data assimilation, crop model, and machine learning for winter wheat yield forecasting in the North China Plain
Huimin Zhuang, Zhao Zhang, Fei Cheng, et al.
Agricultural and Forest Meteorology (2024) Vol. 347, pp. 109909-109909
Closed Access | Times Cited: 30
Long-Term Vegetation Phenology Changes and Responses to Preseason Temperature and Precipitation in Northern China
Rongrong Zhang, Junyu Qi, Song Leng, et al.
Remote Sensing (2022) Vol. 14, Iss. 6, pp. 1396-1396
Open Access | Times Cited: 67
Combining multi-indicators with machine-learning algorithms for maize yield early prediction at the county-level in China
Minghan Cheng, Josep Peñuelas, Matthew F. McCabe, et al.
Agricultural and Forest Meteorology (2022) Vol. 323, pp. 109057-109057
Closed Access | Times Cited: 62
High-resolution crop yield and water productivity dataset generated using random forest and remote sensing
Minghan Cheng, Xiyun Jiao, Lei Shi, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 41
Adapting to climate change precisely through cultivars renewal for rice production across China: When, where, and what cultivars will be required?
Liangliang Zhang, Zhao Zhang, Fulu Tao, et al.
Agricultural and Forest Meteorology (2022) Vol. 316, pp. 108856-108856
Closed Access | Times Cited: 39
TPE-CatBoost: An adaptive model for soil moisture spatial estimation in the main maize-producing areas of China with multiple environment covariates
Jingxin Yu, Wengang Zheng, Linlin Xu, et al.
Journal of Hydrology (2022) Vol. 613, pp. 128465-128465
Closed Access | Times Cited: 39
A twenty-year dataset of high-resolution maize distribution in China
Qiongyan Peng, Ruoque Shen, Xiangqian Li, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 32
Food-water-land-ecosystem nexus in typical Chinese dryland under different future scenarios
Mingjie Shi, Hongqi Wu, Jiang Ping-an, et al.
The Science of The Total Environment (2023) Vol. 880, pp. 163183-163183
Closed Access | Times Cited: 29
Analysis of Corn Yield Prediction Potential at Various Growth Phases Using a Process-Based Model and Deep Learning
Yiting Ren, Qiangzi Li, Xin Du, et al.
Plants (2023) Vol. 12, Iss. 3, pp. 446-446
Open Access | Times Cited: 26
Bioenergy potential from agricultural by-product in 2030: An AI-based spatial analysis and climate change scenarios in a Chinese region
Zhan Shi, Giovanni Ferrari, Ping Ai, et al.
Journal of Cleaner Production (2024) Vol. 436, pp. 140621-140621
Open Access | Times Cited: 11
Multi-model ensemble of CMIP6 projections for future extreme climate changes in wheat production regions of China
Zexu Shi, Dengpan Xiao, Huizi Bai, et al.
Climate Dynamics (2024) Vol. 62, Iss. 6, pp. 5061-5081
Closed Access | Times Cited: 9
A global open-source dataset of monthly irrigated and rainfed cropped areas (MIRCA-OS) for the 21st century
Asfaw Kebede, Kevin Ong’are Oluoch, Stefan Siebert, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 1
Mechanisms of meteorological drought propagation to agricultural drought in China: insights from causality chain
Zhiwen You, Xunlai Sun, Huaiwei Sun, et al.
npj natural hazards. (2025) Vol. 2, Iss. 1
Open Access | Times Cited: 1
The divergent response of vegetation phenology to urbanization: A case study of Beijing city, China
Yehua Zhang, Peiyi Yin, Xuecao Li, et al.
The Science of The Total Environment (2021) Vol. 803, pp. 150079-150079
Closed Access | Times Cited: 56
Improving regional wheat yields estimations by multi-step-assimilating of a crop model with multi-source data
Zhao Zhang, Ziyue Li, Yi Chen, et al.
Agricultural and Forest Meteorology (2020) Vol. 290, pp. 107993-107993
Closed Access | Times Cited: 54
Page 1 - Next Page

Scroll to top