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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:

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 26-50 of 315 citing articles:

Fine-scale perspectives on landscape phenology from unmanned aerial vehicle (UAV) photography
Stephen Klosterman, E. K. Melaas, Jonathan Wang, et al.
Agricultural and Forest Meteorology (2017) Vol. 248, pp. 397-407
Open Access | Times Cited: 146
Multisite analysis of land surface phenology in North American temperate and boreal deciduous forests from Landsat
E. K. Melaas, Damien Sulla‐Menashe, Josh Gray, et al.
Remote Sensing of Environment (2016) Vol. 186, pp. 452-464
Open Access | Times Cited: 139
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
Multiscale modeling of spring phenology across Deciduous Forests in the Eastern United States
E. K. Melaas, M. A. Friedl, Andrew D. Richardson
Global Change Biology (2015) Vol. 22, Iss. 2, pp. 792-805
Open Access | Times Cited: 125
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
Interpreting canopy development and physiology using a European phenology camera network at flux sites
Lisa Wingate, Jérôme Ogée, Edoardo Cremonese, et al.
Biogeosciences (2015) Vol. 12, Iss. 20, pp. 5995-6015
Open Access | Times Cited: 121
Assessing spring phenology of a temperate woodland: A multiscale comparison of ground, unmanned aerial vehicle and Landsat satellite observations
Elias Fernando Berra, Rachel Gaulton, Stuart Barr
Remote Sensing of Environment (2019) Vol. 223, pp. 229-242
Closed Access | Times Cited: 121
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
Spring green-up phenology products derived from MODIS NDVI and EVI: Intercomparison, interpretation and validation using National Phenology Network and AmeriFlux observations
Dailiang Peng, Chaoyang Wu, Cunjun Li, et al.
Ecological Indicators (2017) Vol. 77, pp. 323-336
Closed Access | Times Cited: 113
Plant phenology and climate change
Jennifer M. Fitchett, Stefan Grab, Dave I. Thompson
Progress in Physical Geography Earth and Environment (2015) Vol. 39, Iss. 4, pp. 460-482
Closed Access | Times Cited: 112
The match and mismatch between photosynthesis and land surface phenology of deciduous forests
Petra D’Odorico, Alemu Gonsamo, Christopher M. Gough, et al.
Agricultural and Forest Meteorology (2015) Vol. 214-215, pp. 25-38
Open Access | Times Cited: 104
Reviews and syntheses: Australian vegetation phenology: new insights from satellite remote sensing and digital repeat photography
Caitlin E. Moore, Tim Brown, Trevor F. Keenan, et al.
Biogeosciences (2016) Vol. 13, Iss. 17, pp. 5085-5102
Open Access | Times Cited: 104
Monitoring crop phenology using a smartphone based near-surface remote sensing approach
Koen Hufkens, E. K. Melaas, Michael Mann, et al.
Agricultural and Forest Meteorology (2018) Vol. 265, pp. 327-337
Open Access | Times Cited: 102
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
Improved modeling of land surface phenology using MODIS land surface reflectance and temperature at evergreen needleleaf forests of central North America
Yuxia Liu, Chaoyang Wu, Dailiang Peng, et al.
Remote Sensing of Environment (2016) Vol. 176, pp. 152-162
Closed Access | Times Cited: 99
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
NDVI derived from near-infrared-enabled digital cameras: Applicability across different plant functional types
Gianluca Filippa, Edoardo Cremonese, Mirco Migliavacca, et al.
Agricultural and Forest Meteorology (2017) Vol. 249, pp. 275-285
Open Access | Times Cited: 97
Improving remotely-sensed crop monitoring by NDVI-based crop phenology estimators for corn and soybeans in Iowa and Illinois, USA
Bumsuk Seo, Jihye Lee, Kyung-Do Lee, et al.
Field Crops Research (2019) Vol. 238, pp. 113-128
Open Access | Times Cited: 97
Using Near-Infrared-Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree–Grass Ecosystems
Yunpeng Luo, Tarek S. El‐Madany, Gianluca Filippa, et al.
Remote Sensing (2018) Vol. 10, Iss. 8, pp. 1293-1293
Open Access | Times Cited: 95
Phenocams Bridge the Gap between Field and Satellite Observations in an Arid Grassland Ecosystem
Dawn M. Browning, Jason W. Karl, David Morin, et al.
Remote Sensing (2017) Vol. 9, Iss. 10, pp. 1071-1071
Open Access | Times Cited: 94
Characterizing spring phenology of temperate broadleaf forests using Landsat and Sentinel-2 time series
Katja Kowalski, Cornelius Senf, Patrick Hostert, et al.
International Journal of Applied Earth Observation and Geoinformation (2020) Vol. 92, pp. 102172-102172
Open Access | Times Cited: 94
Remote sensing phenological monitoring framework to characterize corn and soybean physiological growing stages
Chunyuan Diao
Remote Sensing of Environment (2020) Vol. 248, pp. 111960-111960
Open Access | Times Cited: 91
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
Rainfall manipulation experiments as simulated by terrestrial biosphere models: Where do we stand?
Athanasios Paschalis, Simone Fatichi, Jakob Zscheischler, et al.
Global Change Biology (2020) Vol. 26, Iss. 6, pp. 3336-3355
Open Access | Times Cited: 82

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