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:

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

Showing 1-25 of 466 citing articles:

Plant phenology and global climate change: Current progresses and challenges
Shilong Piao, Qiang Liu, Anping Chen, et al.
Global Change Biology (2019) Vol. 25, Iss. 6, pp. 1922-1940
Open Access | Times Cited: 1510
Complexity revealed in the greening of the Arctic
Isla H. Myers‐Smith, Jeffrey T. Kerby, Gareth K. Phoenix, et al.
Nature Climate Change (2020) Vol. 10, Iss. 2, pp. 106-117
Open Access | Times Cited: 717
Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites
Housen Chu, Xiangzhong Luo, Zutao Ouyang, et al.
Agricultural and Forest Meteorology (2021) Vol. 301-302, pp. 108350-108350
Open Access | Times Cited: 403
The Terrestrial Carbon Sink
Trevor F. Keenan, C. A. Williams
Annual Review of Environment and Resources (2018) Vol. 43, Iss. 1, pp. 219-243
Closed Access | Times Cited: 339
Ecosystem warming extends vegetation activity but heightens vulnerability to cold temperatures
Andrew D. Richardson, Koen Hufkens, Tom Milliman, et al.
Nature (2018) Vol. 560, Iss. 7718, pp. 368-371
Open Access | Times Cited: 324
Remote sensing of dryland ecosystem structure and function: Progress, challenges, and opportunities
William K. Smith, Matthew P. Dannenberg, Dong Yan, et al.
Remote Sensing of Environment (2019) Vol. 233, pp. 111401-111401
Open Access | Times Cited: 316
A simple method to improve the quality of NDVI time-series data by integrating spatiotemporal information with the Savitzky-Golay filter
Ruyin Cao, Yang Chen, Miaogen Shen, et al.
Remote Sensing of Environment (2018) Vol. 217, pp. 244-257
Closed Access | Times Cited: 262
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
An integrated phenology modelling framework in r
Koen Hufkens, David Basler, Tom Milliman, et al.
Methods in Ecology and Evolution (2018) Vol. 9, Iss. 5, pp. 1276-1285
Open Access | Times Cited: 219
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
Towards the fully automated monitoring of ecological communities
Marc Besson, Jamie Alison, Kim Bjerge, et al.
Ecology Letters (2022) Vol. 25, Iss. 12, pp. 2753-2775
Open Access | Times Cited: 157
High-Throughput Plant Phenotyping Platform (HT3P) as a Novel Tool for Estimating Agronomic Traits From the Lab to the Field
Daoliang Li, Chaoqun Quan, Zhaoyang Song, et al.
Frontiers in Bioengineering and Biotechnology (2021) Vol. 8
Open Access | Times Cited: 125
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
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
Recent Advances for Drought Stress Tolerance in Maize (Zea mays L.): Present Status and Future Prospects
Seema Sheoran, Yashmeet Kaur, Sushil Kumar, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 75
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
A Google Earth Engine Algorithm to Map Phenological Metrics in Mountain Areas Worldwide with Landsat Collection and Sentinel-2
Tommaso Orusa, Annalisa Viani, Duke Cammareri, et al.
Geomatics (2023) Vol. 3, Iss. 1, pp. 221-238
Open Access | Times Cited: 45
Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology
Zoe Pierrat, Troy S. Magney, Will P. Richardson, et al.
New Phytologist (2025)
Open Access | Times Cited: 5
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
Phenology of short vegetation cycles in a Kenyan rangeland from PlanetScope and Sentinel-2
Yan Cheng, Anton Vrieling, Francesco Fava, et al.
Remote Sensing of Environment (2020) Vol. 248, pp. 112004-112004
Open Access | Times Cited: 132
Effects of climate change on alpine plants and their pollinators
David W. Inouye
Annals of the New York Academy of Sciences (2019) Vol. 1469, Iss. 1, pp. 26-37
Closed Access | Times Cited: 127
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
A within-season approach for detecting early growth stages in corn and soybean using high temporal and spatial resolution imagery
Feng Gao, Martha C. Anderson, Craig S. T. Daughtry, et al.
Remote Sensing of Environment (2020) Vol. 242, pp. 111752-111752
Open Access | Times Cited: 122
Page 1 - Next Page

Scroll to top