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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:

Evaluation of land surface phenology from VIIRS data using time series of PhenoCam imagery
Xiaoyang Zhang, J. Senthilnath, Lingling Liu, et al.
Agricultural and Forest Meteorology (2018) Vol. 256-257, pp. 137-149
Open Access | Times Cited: 162

Showing 1-25 of 162 citing articles:

A review of vegetation phenological metrics extraction using time-series, multispectral satellite data
Linglin Zeng, Brian D. Wardlow, Daxiang Xiang, et al.
Remote Sensing of Environment (2019) Vol. 237, pp. 111511-111511
Closed Access | Times Cited: 600
State of the Climate in 2018
John R. Christy, Stephen Po‐Chedley, Carl R. Mears, et al.
Bulletin of the American Meteorological Society (2019) Vol. 100, Iss. 9, pp. Si-S306
Open Access | Times Cited: 228
Current and near-term advances in Earth observation for ecological applications
Susan L. Ustin, Elizabeth M. Middleton
Ecological Processes (2021) Vol. 10, Iss. 1
Open Access | Times Cited: 190
Mapping Crop Phenology in Near Real-Time Using Satellite Remote Sensing: Challenges and Opportunities
Feng Gao, Xiaoyang Zhang
Journal of Remote Sensing (2021) Vol. 2021
Open Access | Times Cited: 187
Land surface phenology as indicator of global terrestrial ecosystem dynamics: A systematic review
Jose A. Caparros-Santiago, Víctor Rodríguez‐Galiano, Jadunandan Dash
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 171, pp. 330-347
Open Access | Times Cited: 157
Calibrating vegetation phenology from Sentinel-2 using eddy covariance, PhenoCam, and PEP725 networks across Europe
Feng Tian, Zhanzhang Cai, Hongxiao Jin, et al.
Remote Sensing of Environment (2021) Vol. 260, pp. 112456-112456
Open Access | Times Cited: 117
Comparison and transferability of thermal, temporal and phenological-based in-season predictions of above-ground biomass in wheat crops from proximal crop reflectance data
Zhenhai Li, Yu Zhao, James A. Taylor, et al.
Remote Sensing of Environment (2022) Vol. 273, pp. 112967-112967
Open Access | Times Cited: 81
Continuity between NASA MODIS Collection 6.1 and VIIRS Collection 2 land products
Miguel O. Román, Chris Justice, Ian Paynter, et al.
Remote Sensing of Environment (2024) Vol. 302, pp. 113963-113963
Open Access | Times Cited: 43
A transformer-based model for detecting land surface phenology from the irregular harmonized Landsat and Sentinel-2 time series across the United States
Khuong H. Tran, Xiaoyang Zhang, Hankui K. Zhang, et al.
Remote Sensing of Environment (2025) Vol. 320, pp. 114656-114656
Closed Access | Times Cited: 2
Generation and evaluation of the VIIRS land surface phenology product
Xiaoyang Zhang, Lingling Liu, Yan Liu, et al.
Remote Sensing of Environment (2018) Vol. 216, pp. 212-229
Closed Access | Times Cited: 153
Intercomparison of phenological transition dates derived from the PhenoCam Dataset V1.0 and MODIS satellite remote sensing
Andrew D. Richardson, Koen Hufkens, Tom Milliman, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 125
Radiometric Calibration for Multispectral Camera of Different Imaging Conditions Mounted on a UAV Platform
Yahui Guo, J. Senthilnath, Wenxiang Wu, et al.
Sustainability (2019) Vol. 11, Iss. 4, pp. 978-978
Open Access | Times Cited: 118
Tracking seasonal rhythms of plants in diverse ecosystems with digital camera imagery
Andrew D. Richardson
New Phytologist (2018) Vol. 222, Iss. 4, pp. 1742-1750
Open Access | Times Cited: 114
Development and evaluation of a new algorithm for detecting 30 m land surface phenology from VIIRS and HLS time series
Xiaoyang Zhang, Jianmin Wang, Geoffrey M. Henebry, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 161, pp. 37-51
Open Access | Times Cited: 100
Remote sensing of temperate and boreal forest phenology: A review of progress, challenges and opportunities in the intercomparison of in-situ and satellite phenological metrics
Elias Fernando Berra, Rachel Gaulton
Forest Ecology and Management (2020) Vol. 480, pp. 118663-118663
Open Access | Times Cited: 99
Multiscale assessment of land surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and PhenoCam imagery
Minkyu Moon, Andrew D. Richardson, M. A. Friedl
Remote Sensing of Environment (2021) Vol. 266, pp. 112716-112716
Open Access | Times Cited: 99
Spatially and temporally complete Landsat reflectance time series modelling: The fill-and-fit approach
Lin Yan, David P. Roy
Remote Sensing of Environment (2020) Vol. 241, pp. 111718-111718
Open Access | Times Cited: 98
Urbanization imprint on land surface phenology: The urban–rural gradient analysis for Chinese cities
Wenxiao Jia, Shuqing Zhao, Xiaoyang Zhang, et al.
Global Change Biology (2021) Vol. 27, Iss. 12, pp. 2895-2904
Closed Access | Times Cited: 91
Understanding the relationship between vegetation greenness and productivity across dryland ecosystems through the integration of PhenoCam, satellite, and eddy covariance data
Dong Yan, Russell L. Scott, D. J. Moore, et al.
Remote Sensing of Environment (2019) Vol. 223, pp. 50-62
Open Access | Times Cited: 87
A new framework to map fine resolution cropping intensity across the globe: Algorithm, validation, and implication
Chong Liu, Qi Zhang, Shiqi Tao, et al.
Remote Sensing of Environment (2020) Vol. 251, pp. 112095-112095
Open Access | Times Cited: 86
Urbanization and climate change jointly shift land surface phenology in the northern mid-latitude large cities
Tong Qiu, Conghe Song, Yulong Zhang, et al.
Remote Sensing of Environment (2019) Vol. 236, pp. 111477-111477
Open Access | Times Cited: 83
Long-term continuity in land surface phenology measurements: A comparative assessment of the MODIS land cover dynamics and VIIRS land surface phenology products
Minkyu Moon, Xiaoyang Zhang, Geoffrey M. Henebry, et al.
Remote Sensing of Environment (2019) Vol. 226, pp. 74-92
Open Access | Times Cited: 81
Land surface phenology from VEGETATION and PROBA-V data. Assessment over deciduous forests
Kevin Bórnez, Adrià Descals, Aleixandre Verger, et al.
International Journal of Applied Earth Observation and Geoinformation (2019) Vol. 84, pp. 101974-101974
Open Access | Times Cited: 80
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: 80
A deep learning method to predict soil organic carbon content at a regional scale using satellite-based phenology variables
Lin Yang, Yanyan Cai, Lei Zhang, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102428-102428
Open Access | Times Cited: 80
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