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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:

Normalized Difference Vegetation Index as an Estimator for Abundance and Quality of Avian Herbivore Forage in Arctic Alaska
Kyle R. Hogrefe, Vijay P. Patil, Daniel R. Ruthrauff, et al.
Remote Sensing (2017) Vol. 9, Iss. 12, pp. 1234-1234
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

The use of machine learning methods to estimate aboveground biomass of grasslands: A review
Tiago G. Morais, Ricardo F. M. Teixeira, Mário A. T. Figueiredo, et al.
Ecological Indicators (2021) Vol. 130, pp. 108081-108081
Open Access | Times Cited: 116
Grassland biomass spatiotemporal patterns and response to climate change in eastern Inner Mongolia based on XGBoost model estimates
Ziyu Jia, Zhenhao Zhang, Yunxiang Cheng, et al.
Ecological Indicators (2024) Vol. 158, pp. 111554-111554
Open Access | Times Cited: 25
Feasibility of tundra vegetation height retrieval from Sentinel-1 and Sentinel-2 data
Annett Bartsch, Barbara Widhalm, Marina Leibman, et al.
Remote Sensing of Environment (2019) Vol. 237, pp. 111515-111515
Open Access | Times Cited: 68
Aboveground biomass corresponds strongly with drone-derived canopy height but weakly with greenness (NDVI) in a shrub tundra landscape
Andrew M. Cunliffe, Jakob J. Assmann, Gergana N. Daskalova, et al.
Environmental Research Letters (2020) Vol. 15, Iss. 12, pp. 125004-125004
Open Access | Times Cited: 60
Use of UAS Multispectral Imagery at Different Physiological Stages for Yield Prediction and Input Resource Optimization in Corn
Razieh Barzin, Rohit Pathak, Hossein Lotfi, et al.
Remote Sensing (2020) Vol. 12, Iss. 15, pp. 2392-2392
Open Access | Times Cited: 54
Extreme drought alters waterfowl distribution patterns and spatial niches in floodplain wetlands
Pingyang Zhang, Yeai Zou, Tao Ke, et al.
Global Ecology and Conservation (2024) Vol. 51, pp. e02901-e02901
Open Access | Times Cited: 7
Modeling Nutrition Quality and Storage of Forage Using Climate Data and Normalized-Difference Vegetation Index in Alpine Grasslands
Fusong Han, Gang Fu, Chengqun Yu, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3410-3410
Open Access | Times Cited: 25
Prospects for Measurement of Dry Matter Yield in Forage Breeding Programs Using Sensor Technologies
Alem Gebremedhin, Pieter Badenhorst, Junping Wang, et al.
Agronomy (2019) Vol. 9, Iss. 2, pp. 65-65
Open Access | Times Cited: 39
Terrestrial and Remote Indexes to Assess Moderate Deficit Irrigation in Early-Maturing Nectarine Trees
María R. Conesa, Wenceslao Conejero, Juan Vera, et al.
Agronomy (2019) Vol. 9, Iss. 10, pp. 630-630
Open Access | Times Cited: 38
Evaluating post‐wildfire logging‐slash cover treatment to reduce hillslope erosion after salvage logging using ground measurements and remote sensing
Peter R. Robichaud, Sarah A. Lewis, Robert Brown, et al.
Hydrological Processes (2020) Vol. 34, Iss. 23, pp. 4431-4445
Closed Access | Times Cited: 38
Improved Na+ estimation from hyperspectral data of saline vegetation by machine learning
Daosheng Chen, Zhang Fei, Mou Leong Tan, et al.
Computers and Electronics in Agriculture (2022) Vol. 196, pp. 106862-106862
Closed Access | Times Cited: 21
NDVI exhibits mixed success in predicting spatiotemporal variation in caribou summer forage quality and quantity
Heather E. Johnson, David D. Gustine, Trevor S. Golden, et al.
Ecosphere (2018) Vol. 9, Iss. 10
Open Access | Times Cited: 34
Remotely Sensed Variables of Ecosystem Functioning Support Robust Predictions of Abundance Patterns for Rare Species
Salvador Arenas‐Castro, Adrián Regos, João Gonçalves, et al.
Remote Sensing (2019) Vol. 11, Iss. 18, pp. 2086-2086
Open Access | Times Cited: 32
Different growth response of mountain rangeland habitats to inter-annual weather fluctuations
Fabio Oriani, Helge Aasen, Manuel K. Schneider
Alpine Botany (2025)
Open Access
Detecting Vegetation Recovery after Fire in A Fire-Frequented Habitat Using Normalized Difference Vegetation Index (NDVI)
Danielle L. Lacouture, Eben N. Broadbent, Raelene M. Crandall
Forests (2020) Vol. 11, Iss. 7, pp. 749-749
Open Access | Times Cited: 27
Estimating microbial mat biomass in the McMurdo Dry Valleys, Antarctica using satellite imagery and ground surveys
Sarah N. Power, M. R. Salvatore, Eric R. Sokol, et al.
Polar Biology (2020) Vol. 43, Iss. 11, pp. 1753-1767
Closed Access | Times Cited: 26
A comparison of drone imagery and ground-based methods for estimating the extent of habitat destruction by lesser snow geese (Anser caerulescens caerulescens) in La Pérouse Bay
Andrew F. Barnas, Brian J. Darby, Gregory S. Vandeberg, et al.
PLoS ONE (2019) Vol. 14, Iss. 8, pp. e0217049-e0217049
Open Access | Times Cited: 25
Applications of Drones in Emerging Economies: A case study of Malaysia
Abdul Aziz Ab Rahman, Wan Shafrina Wan Mohd Jaafar, Khairul Nizam Abdul Maulud, et al.
(2019), pp. 35-40
Open Access | Times Cited: 23
Migratory goose arrival time plays a larger role in influencing forage quality than advancing springs in an Arctic coastal wetland
Karen H. Beard, Ryan T. Choi, A. Joshua Leffler, et al.
PLoS ONE (2019) Vol. 14, Iss. 3, pp. e0213037-e0213037
Open Access | Times Cited: 22
Phenological mismatch caused by water regime change may explain the population variation of the vulnerable lesser white-fronted goose in east Dongting Lake, China
Pingyang Zhang, Yeai Zou, Yonghong Xie, et al.
Ecological Indicators (2021) Vol. 127, pp. 107776-107776
Open Access | Times Cited: 16
Borana rangeland of southern Ethiopia: Estimating biomass production and carrying capacity using field and remote sensing data
Yeneayehu Fenetahun, You Yuan, Xinwen Xu, et al.
Plant Diversity (2022) Vol. 44, Iss. 6, pp. 598-606
Open Access | Times Cited: 10
Testing Proximal Optical Sensors on Quinoa Growth and Development
Jorge Alvar‐Beltrán, Carolina Fabbri, Leonardo Verdi, et al.
Remote Sensing (2020) Vol. 12, Iss. 12, pp. 1958-1958
Open Access | Times Cited: 14
First digital characterization of the transhumance corridors through Benin used by cattle herds from Burkina Faso and associated risk scoring regarding the invasion of Rhipicephalus ( Boophilus ) microplus
Olivier M. Zannou, Achille S. Ouedraogo, Abel S. Biguezoton, et al.
Transboundary and Emerging Diseases (2020) Vol. 68, Iss. 4, pp. 2079-2093
Open Access | Times Cited: 13
Global-scale biomass estimation based on machine learning and deep learning methods
Somayeh Talebiesfandarani, Ali Shamsoddini
Remote Sensing Applications Society and Environment (2022) Vol. 28, pp. 100868-100868
Closed Access | Times Cited: 9
The role of understory phenology and productivity in the carbon dynamics of longleaf pine savannas
Susanne Wiesner, Christina L. Staudhammer, Chloe L. Javaheri, et al.
Ecosphere (2019) Vol. 10, Iss. 4
Open Access | Times Cited: 13
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