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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:

Foliar functional traits from imaging spectroscopy across biomes in eastern North America
Zhihui Wang, Adam Chlus, Ryan Geygan, et al.
New Phytologist (2020) Vol. 228, Iss. 2, pp. 494-511
Open Access | Times Cited: 160

Showing 1-25 of 160 citing articles:

NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms
Kerry Cawse‐Nicholson, Philip A. Townsend, David Schimel, et al.
Remote Sensing of Environment (2021) Vol. 257, pp. 112349-112349
Open Access | Times Cited: 246
Integrating remote sensing with ecology and evolution to advance biodiversity conservation
Jeannine Cavender‐Bares, Fabian Schneider, Maria J. Santos, et al.
Nature Ecology & Evolution (2022) Vol. 6, Iss. 5, pp. 506-519
Closed Access | Times Cited: 189
A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regression
Angela C. Burnett, Jeremiah Anderson, Kenneth Davidson, et al.
Journal of Experimental Botany (2021) Vol. 72, Iss. 18, pp. 6175-6189
Open Access | Times Cited: 131
From remotely‐sensed solar‐induced chlorophyll fluorescence to ecosystem structure, function, and service: Part II—Harnessing data
Ying Sun, Jiaming Wen, Lianhong Gu, et al.
Global Change Biology (2023) Vol. 29, Iss. 11, pp. 2893-2925
Closed Access | Times Cited: 44
Improving retrieval of leaf chlorophyll content from Sentinel-2 and Landsat-7/8 imagery by correcting for canopy structural effects
Liang Wan, Youngryel Ryu, Benjamin Dechant, et al.
Remote Sensing of Environment (2024) Vol. 304, pp. 114048-114048
Closed Access | Times Cited: 19
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: 4
Field spectroscopy of canopy nitrogen concentration in temperate grasslands using a convolutional neural network
Reddy Pullanagari, Mohammad Hossain Dehghan-Shoar, Ian J. Yule, et al.
Remote Sensing of Environment (2021) Vol. 257, pp. 112353-112353
Closed Access | Times Cited: 92
Connecting Land–Atmosphere Interactions to Surface Heterogeneity in CHEESEHEAD19
Brian Butterworth, Ankur R. Desai, Philip A. Townsend, et al.
Bulletin of the American Meteorological Society (2020) Vol. 102, Iss. 2, pp. E421-E445
Open Access | Times Cited: 90
Hyperspectral imagery to monitor crop nutrient status within and across growing seasons
Nanfeng Liu, Philip A. Townsend, Mack R. Naber, et al.
Remote Sensing of Environment (2021) Vol. 255, pp. 112303-112303
Open Access | Times Cited: 87
Unique contributions of chlorophyll and nitrogen to predict crop photosynthetic capacity from leaf spectroscopy
Sheng Wang, Kaiyu Guan, Zhihui Wang, et al.
Journal of Experimental Botany (2020) Vol. 72, Iss. 2, pp. 341-354
Open Access | Times Cited: 86
Combining transfer learning and hyperspectral reflectance analysis to assess leaf nitrogen concentration across different plant species datasets
Liang Wan, Weijun Zhou, Yong He, et al.
Remote Sensing of Environment (2021) Vol. 269, pp. 112826-112826
Closed Access | Times Cited: 78
UAVs as remote sensing platforms in plant ecology: review of applications and challenges
Zhongyu Sun, Xiaonian Wang, Zhihui Wang, et al.
Journal of Plant Ecology (2021) Vol. 14, Iss. 6, pp. 1003-1023
Closed Access | Times Cited: 74
A remote sensing derived data set of 100 million individual tree crowns for the National Ecological Observatory Network
Ben Weinstein, Sergio Marconi, Stephanie Bohlman, et al.
eLife (2021) Vol. 10
Open Access | Times Cited: 57
Remote Sensing of Tundra Ecosystems Using High Spectral Resolution Reflectance: Opportunities and Challenges
Peter R. Nelson, Andrew J. Maguire, Zoe Pierrat, et al.
Journal of Geophysical Research Biogeosciences (2022) Vol. 127, Iss. 2
Open Access | Times Cited: 42
Assessing biodiversity from space: Impact of spatial and spectral resolution on trait-based functional diversity
Isabelle Helfenstein, Fabian Schneider, Michael E. Schaepman, et al.
Remote Sensing of Environment (2022) Vol. 275, pp. 113024-113024
Open Access | Times Cited: 41
Predicting leaf traits across functional groups using reflectance spectroscopy
Shan Kothari, Rosalie Beauchamp‐Rioux, Florence Blanchard, et al.
New Phytologist (2023) Vol. 238, Iss. 2, pp. 549-566
Open Access | Times Cited: 38
From spectra to plant functional traits: Transferable multi-trait models from heterogeneous and sparse data
Eya Cherif, Hannes Feilhauer, Katja Berger, et al.
Remote Sensing of Environment (2023) Vol. 292, pp. 113580-113580
Open Access | Times Cited: 36
Hyperspectral reflectance and machine learning to monitor legume biomass and nitrogen accumulation
K. Colton Flynn, Gurjinder S. Baath, Trey O. Lee, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 107991-107991
Open Access | Times Cited: 26
Generality of leaf spectroscopic models for predicting key foliar functional traits across continents: A comparison between physically- and empirically-based approaches
Zhihui Wang, Jean‐Baptiste Féret, Nanfeng Liu, et al.
Remote Sensing of Environment (2023) Vol. 293, pp. 113614-113614
Open Access | Times Cited: 23
UAV-borne hyperspectral estimation of nitrogen content in tobacco leaves based on ensemble learning methods
Mingzheng Zhang, Tianen Chen, Xiaohe Gu, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 108008-108008
Closed Access | Times Cited: 23
The biodiversity survey of the Cape (BioSCape), integrating remote sensing with biodiversity science
Anabelle W. Cardoso, Erin L. Hestir, Jasper A. Slingsby, et al.
npj Biodiversity (2025) Vol. 4, Iss. 1
Open Access | Times Cited: 1
Unlocking ecological insights from sub‐seasonal visible‐to‐shortwave infrared imaging spectroscopy: The SHIFT campaign
K. Dana Chadwick, Frank W. Davis, Kimberley Miner, et al.
Ecosphere (2025) Vol. 16, Iss. 3
Open Access | Times Cited: 1
Mapping functional diversity using individual tree-based morphological and physiological traits in a subtropical forest
Zhaoju Zheng, Yuan Zeng, Fabian Schneider, et al.
Remote Sensing of Environment (2020) Vol. 252, pp. 112170-112170
Open Access | Times Cited: 64
Hyperspectral reflectance-based phenotyping for quantitative genetics in crops: Progress and challenges
Marcin Grzybowski, Nuwan K. Wijewardane, Abbas Atefi, et al.
Plant Communications (2021) Vol. 2, Iss. 4, pp. 100209-100209
Open Access | Times Cited: 51
Designing an Observing System to Study the Surface Biology and Geology (SBG) of the Earth in the 2020s
E. Natasha Stavros, Jon Chrone, Kerry Cawse‐Nicholson, et al.
Journal of Geophysical Research Biogeosciences (2022) Vol. 128, Iss. 1
Open Access | Times Cited: 38
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