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:

Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery
Stephen Klosterman, Koen Hufkens, Josh Gray, et al.
Biogeosciences (2014) Vol. 11, Iss. 16, pp. 4305-4320
Open Access | Times Cited: 315

Showing 1-25 of 315 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

Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery
Andrew D. Richardson, Koen Hufkens, Tom Milliman, et al.
Scientific Data (2018) Vol. 5, Iss. 1
Open Access | Times Cited: 466

The timing of autumn senescence is affected by the timing of spring phenology: implications for predictive models
Trevor F. Keenan, Andrew D. Richardson
Global Change Biology (2015) Vol. 21, Iss. 7, pp. 2634-2641
Open Access | Times Cited: 325

Satellite chlorophyll fluorescence measurements reveal large‐scale decoupling of photosynthesis and greenness dynamics in boreal evergreen forests
Sophia Walther, Maximilian Voigt, Tea Thum, et al.
Global Change Biology (2015) Vol. 22, Iss. 9, pp. 2979-2996
Open Access | Times Cited: 276

A Dynamic Landsat Derived Normalized Difference Vegetation Index (NDVI) Product for the Conterminous United States
Nathaniel Robinson, Brady Allred, Matthew Jones, et al.
Remote Sensing (2017) Vol. 9, Iss. 8, pp. 863-863
Open Access | Times Cited: 240

Vegetation phenology from Sentinel-2 and field cameras for a Dutch barrier island
Anton Vrieling, Michele Meroni, Roshanak Darvishzadeh, et al.
Remote Sensing of Environment (2018) Vol. 215, pp. 517-529
Open Access | Times Cited: 203

Vegetation phenology on the Qinghai-Tibetan Plateau and its response to climate change (1982–2013)
Qiang Zhang, Dongdong Kong, Peijun Shi, et al.
Agricultural and Forest Meteorology (2017) Vol. 248, pp. 408-417
Open Access | Times Cited: 193

Urban heat island impacts on plant phenology: intra-urban variability and response to land cover
Samuel C. Zipper, Jason Schatz, Aditya Singh, et al.
Environmental Research Letters (2016) Vol. 11, Iss. 5, pp. 054023-054023
Open Access | Times Cited: 191

Land surface phenology derived from normalized difference vegetation index (NDVI) at global FLUXNET sites
Chaoyang Wu, Dailiang Peng, Kamel Soudani, et al.
Agricultural and Forest Meteorology (2016) Vol. 233, pp. 171-182
Closed Access | Times Cited: 191

Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset
Bijan Seyednasrollah, Adam M. Young, Koen Hufkens, et al.
Scientific Data (2019) Vol. 6, Iss. 1
Open Access | Times Cited: 186

Understanding Forest Health with Remote Sensing -Part I—A Review of Spectral Traits, Processes and Remote-Sensing Characteristics
Angela Lausch, Stefan Erasmi, Douglas J. King, et al.
Remote Sensing (2016) Vol. 8, Iss. 12, pp. 1029-1029
Open Access | Times Cited: 185

Remote sensing of mangrove forest phenology and its environmental drivers
Julio Pastor-Guzman, Jadunandan Dash, Peter M. Atkinson
Remote Sensing of Environment (2017) Vol. 205, pp. 71-84
Open Access | Times Cited: 175

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: 115

Remote sensing of phenology: Towards the comprehensive indicators of plant community dynamics from species to regional scales
Iryna Dronova, Sophie Taddeo
Journal of Ecology (2022) Vol. 110, Iss. 7, pp. 1460-1484
Open Access | Times Cited: 83

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

Warming-induced increase in carbon uptake is linked to earlier spring phenology in temperate and boreal forests
Hongshuang Gu, Yuxin Qiao, Zhenxiang Xi, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 77

Precipitation versus temperature as phenology controls in drylands
Courtney M. Currier, Osvaldo E. Sala
Ecology (2022) Vol. 103, Iss. 11
Closed Access | Times Cited: 71

Late spring frost delays tree spring phenology by reducing photosynthetic productivity
Jinmei Wang, Hao Hua, Jing Guo, et al.
Nature Climate Change (2025) Vol. 15, Iss. 2, pp. 201-209
Closed Access | Times Cited: 2

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

Greenness indices from digital cameras predict the timing and seasonal dynamics of canopy‐scale photosynthesis
Michael Toomey, M. A. Friedl, Steve Frolking, et al.
Ecological Applications (2015) Vol. 25, Iss. 1, pp. 99-115
Open Access | Times Cited: 172

Phenopix: A R package for image-based vegetation phenology
Gianluca Filippa, Edoardo Cremonese, Mirco Migliavacca, et al.
Agricultural and Forest Meteorology (2016) Vol. 220, pp. 141-150
Open Access | Times Cited: 167

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

Using data from Landsat, MODIS, VIIRS and PhenoCams to monitor the phenology of California oak/grass savanna and open grassland across spatial scales
Yan Liu, Michael J. Hill, Xiaoyang Zhang, et al.
Agricultural and Forest Meteorology (2017) Vol. 237-238, pp. 311-325
Open Access | Times Cited: 159

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

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