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:

The Optimal Threshold and Vegetation Index Time Series for Retrieving Crop Phenology Based on a Modified Dynamic Threshold Method
Xin Huang, Jianhong Liu, Wenquan Zhu, et al.
Remote Sensing (2019) Vol. 11, Iss. 23, pp. 2725-2725
Open Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

Satellite remote sensing of vegetation phenology: Progress, challenges, and opportunities
Zheng Gong, Wenyan Ge, Jiaqi Guo, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 217, pp. 149-164
Closed Access | Times Cited: 28

Use time series NDVI and EVI to develop dynamic crop growth metrics for yield modeling
Sadia Alam Shammi, Qingmin Meng
Ecological Indicators (2020) Vol. 121, pp. 107124-107124
Open Access | Times Cited: 139

Analysis of Normalized Difference Vegetation Index (NDVI) multi-temporal series for the production of forest cartography
Gian Luca Spadoni, Alice Cavalli, Luca Congedo, et al.
Remote Sensing Applications Society and Environment (2020) Vol. 20, pp. 100419-100419
Closed Access | Times Cited: 89

DATimeS: A machine learning time series GUI toolbox for gap-filling and vegetation phenology trends detection
Santiago Belda, Luca Pipia, Pablo Morcillo-Pallarés, et al.
Environmental Modelling & Software (2020) Vol. 127, pp. 104666-104666
Open Access | Times Cited: 80

Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression
Matías Salinero-Delgado, José Estévez, Luca Pipia, et al.
Remote Sensing (2021) Vol. 14, Iss. 1, pp. 146-146
Open Access | Times Cited: 46

Quantifying latitudinal variation in land surface phenology of Spartina alterniflora saltmarshes across coastal wetlands in China by Landsat 7/8 and Sentinel-2 images
Xi Zhang, Xiangming Xiao, Shiyun Qiu, et al.
Remote Sensing of Environment (2021) Vol. 269, pp. 112810-112810
Open Access | Times Cited: 44

Characterizing spatiotemporal patterns of crop phenology across North America during 2000–2016 using satellite imagery and agricultural survey data
Yanjun Yang, Wei Ren, Bo Tao, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 170, pp. 156-173
Closed Access | Times Cited: 50

Tracking crop phenology in a highly dynamic landscape with knowledge-based Landsat–MODIS data fusion
Biniam Sisheber, Michael Marshall, Daniel Ayalew Mengistu, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 106, pp. 102670-102670
Open Access | Times Cited: 40

A 30 m annual maize phenology dataset from 1985 to 2020 in China
Quandi Niu, Xuecao Li, Jianxi Huang, et al.
Earth system science data (2022) Vol. 14, Iss. 6, pp. 2851-2864
Open Access | Times Cited: 25

Multispectral Sentinel-2 and SAR Sentinel-1 Integration for Automatic Land Cover Classification
Paolo De Fioravante, Tania Luti, Alice Cavalli, et al.
Land (2021) Vol. 10, Iss. 6, pp. 611-611
Open Access | Times Cited: 30

Near-Surface and High-Resolution Satellite Time Series for Detecting Crop Phenology
Chunyuan Diao, Geyang Li
Remote Sensing (2022) Vol. 14, Iss. 9, pp. 1957-1957
Open Access | Times Cited: 23

Multi-Season Phenology Mapping of Nile Delta Croplands Using Time Series of Sentinel-2 and Landsat 8 Green LAI
Eatidal Amin, Santiago Belda, Luca Pipia, et al.
Remote Sensing (2022) Vol. 14, Iss. 8, pp. 1812-1812
Open Access | Times Cited: 21

Deep learning-based prediction of plant height and crown area of vegetable crops using LiDAR point cloud
J Reji, ‪Rama Rao Nidamanuri
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4

Comparison of MODIS-based vegetation indices and methods for winter wheat green-up date detection in Huanghuai region of China
Liqin Gan, Xin Cao, Xuehong Chen, et al.
Agricultural and Forest Meteorology (2020) Vol. 288-289, pp. 108019-108019
Closed Access | Times Cited: 30

Object-based change detection for vegetation disturbance and recovery using Landsat time series
Zheng Wang, Caiyong Wei, Xiangnan Liu, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 1706-1721
Open Access | Times Cited: 19

Evaluation and improvement of Copernicus HR-VPP product for crop phenology monitoring
Egor Prikaziuk, Cláudio Silva Figueira, Gerbrand Koren, et al.
Computers and Electronics in Agriculture (2025) Vol. 233, pp. 110136-110136
Open Access

Toxicity of Essential Oils of Origanum vulgare, Salvia rosmarinus, and Salvia officinalis Against Aculops lycopersici
Thomas Giordano, Giuliano Cerasa, Ilaria Marotta, et al.
Plants (2025) Vol. 14, Iss. 10, pp. 1462-1462
Open Access

Investigation of the Relationship Between NDVI Index, Soil Moisture, and Precipitation Data Using Satellite Images
Shilan Felegari, Alireza Sharifi, Kamran Moravej, et al.
(2022), pp. 314-325
Closed Access | Times Cited: 16

Estimating Crop Sowing and Harvesting Dates Using Satellite Vegetation Index: A Comparative Analysis
Grazieli Rodigheri, Ieda Del’Arco Sanches, Jonathan Richetti, et al.
Remote Sensing (2023) Vol. 15, Iss. 22, pp. 5366-5366
Open Access | Times Cited: 9

Phenological heterogeneities of invasive Spartina alterniflora salt marshes revealed by high-spatial-resolution satellite imagery
Xiaoran Han, Yiming Wang, Yinghai Ke, et al.
Ecological Indicators (2022) Vol. 144, pp. 109492-109492
Open Access | Times Cited: 14

A comparison of moderate and high spatial resolution satellite data for modeling gross primary production and transpiration of native prairie, alfalfa, and winter wheat
Jorge Celis, Xiangming Xiao, Pradeep Wagle, et al.
Agricultural and Forest Meteorology (2023) Vol. 344, pp. 109797-109797
Open Access | Times Cited: 8

Detecting Recent Crop Phenology Dynamics in Corn and Soybean Cropping Systems of Kentucky
Yanjun Yang, Bo Tao, Liang Liang, et al.
Remote Sensing (2021) Vol. 13, Iss. 9, pp. 1615-1615
Open Access | Times Cited: 15

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