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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:

Forest recovery trends derived from Landsat time series for North American boreal forests
Paul D. Pickell, Txomin Hermosilla, Ryan J. Frazier, et al.
International Journal of Remote Sensing (2015) Vol. 37, Iss. 1, pp. 138-149
Open Access | Times Cited: 148

Showing 1-25 of 148 citing articles:

Current status of Landsat program, science, and applications
Michael A. Wulder, Thomas R. Loveland, David P. Roy, et al.
Remote Sensing of Environment (2019) Vol. 225, pp. 127-147
Open Access | Times Cited: 853
A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series
Joanne C. White, Michael A. Wulder, Txomin Hermosilla, et al.
Remote Sensing of Environment (2017) Vol. 194, pp. 303-321
Open Access | Times Cited: 329
Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring
Txomin Hermosilla, Michael A. Wulder, Joanne C. White, et al.
International Journal of Digital Earth (2016) Vol. 9, Iss. 11, pp. 1035-1054
Open Access | Times Cited: 231
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
Examining post-fire vegetation recovery with Landsat time series analysis in three western North American forest types
Benjamin C. Bright, Andrew T. Hudak, Robert E. Kennedy, et al.
Fire Ecology (2019) Vol. 15, Iss. 1
Open Access | Times Cited: 167
Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots
Giona Matasci, Txomin Hermosilla, Michael A. Wulder, et al.
Remote Sensing of Environment (2018) Vol. 216, pp. 697-714
Open Access | Times Cited: 130
Using Landsat Spectral Indices in Time-Series to Assess Wildfire Disturbance and Recovery
Samuel Hislop, Simon Jones, Mariela Soto‐Berelov, et al.
Remote Sensing (2018) Vol. 10, Iss. 3, pp. 460-460
Open Access | Times Cited: 127
Analyzing spatial and temporal variability in short-term rates of post-fire vegetation return from Landsat time series
Ryan J. Frazier, Nicholas C. Coops, Michael A. Wulder, et al.
Remote Sensing of Environment (2017) Vol. 205, pp. 32-45
Open Access | Times Cited: 114
A spatial and temporal analysis of forest dynamics using Landsat time-series
Nguyễn Huy Trung, Simon Jones, Mariela Soto‐Berelov, et al.
Remote Sensing of Environment (2018) Vol. 217, pp. 461-475
Closed Access | Times Cited: 96
Harmonic regression of Landsat time series for modeling attributes from national forest inventory data
Barry T. Wilson, Joseph Knight, Ronald E. McRoberts
ISPRS Journal of Photogrammetry and Remote Sensing (2018) Vol. 137, pp. 29-46
Open Access | Times Cited: 92
Evaluating the Best Spectral Indices for the Detection of Burn Scars at Several Post-Fire Dates in a Mountainous Region of Northwest Yunnan, China
Davide Fornacca, Guopeng Ren, Wen Xiao
Remote Sensing (2018) Vol. 10, Iss. 8, pp. 1196-1196
Open Access | Times Cited: 87
Post-disturbance recovery of forest cover and tree height differ with management in Central Europe
Cornelius Senf, Jörg Müller, Rupert Seidl
Landscape Ecology (2019) Vol. 34, Iss. 12, pp. 2837-2850
Open Access | Times Cited: 87
Extracting the full value of the Landsat archive: Inter-sensor harmonization for the mapping of Minnesota forest canopy cover (1973–2015)
Jody C. Vogeler, Justin Braaten, Robert A. Slesak, et al.
Remote Sensing of Environment (2018) Vol. 209, pp. 363-374
Closed Access | Times Cited: 85
Remote sensing techniques to assess post-fire vegetation recovery
Fernando Pérez, Raquel Montorio, Daniel Borini Alves
Current Opinion in Environmental Science & Health (2021) Vol. 21, pp. 100251-100251
Open Access | Times Cited: 77
Post‐disturbance canopy recovery and the resilience of Europe’s forests
Cornelius Senf, Rupert Seidl
Global Ecology and Biogeography (2021) Vol. 31, Iss. 1, pp. 25-36
Open Access | Times Cited: 69
Mapping, validating, and interpreting spatio-temporal trends in post-disturbance forest recovery
Joanne C. White, Txomin Hermosilla, Michael A. Wulder, et al.
Remote Sensing of Environment (2022) Vol. 271, pp. 112904-112904
Open Access | Times Cited: 68
Biogeographic variability in wildfire severity and post-fire vegetation recovery across the European forests via remote sensing-derived spectral metrics
Angelo Nolè, Angelo Rita, Maria Floriana Spatola, et al.
The Science of The Total Environment (2022) Vol. 823, pp. 153807-153807
Closed Access | Times Cited: 44
Evaluating ICESat-2 for monitoring, modeling, and update of large area forest canopy height products
Christopher Mulverhill, Nicholas C. Coops, Txomin Hermosilla, et al.
Remote Sensing of Environment (2022) Vol. 271, pp. 112919-112919
Open Access | Times Cited: 40
Landsat assessment of variable spectral recovery linked to post-fire forest structure in dry sub-boreal forests
Sarah Smith‐Tripp, Nicholas C. Coops, Christopher Mulverhill, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 208, pp. 121-135
Open Access | Times Cited: 11
Development and implementation of a stand-level satellite-based forest inventory for Canada
Michael A. Wulder, Txomin Hermosilla, Joanne C. White, et al.
Forestry An International Journal of Forest Research (2024) Vol. 97, Iss. 4, pp. 546-563
Open Access | Times Cited: 10
Post-fire spectral recovery and driving factors across the boreal and temperate forests
Li Kai Li, Zhihua Liu, Wenru Xu, et al.
Philosophical Transactions of the Royal Society B Biological Sciences (2025) Vol. 380, Iss. 1924
Closed Access | Times Cited: 1
Boreal Shield forest disturbance and recovery trends using Landsat time series
Ryan J. Frazier, Nicholas C. Coops, Michael A. Wulder
Remote Sensing of Environment (2015) Vol. 170, pp. 317-327
Closed Access | Times Cited: 76
Confirmation of post-harvest spectral recovery from Landsat time series using measures of forest cover and height derived from airborne laser scanning data
Joanne C. White, Ninni Saarinen, Ville Kankare, et al.
Remote Sensing of Environment (2018) Vol. 216, pp. 262-275
Open Access | Times Cited: 76
Forest Spectral Recovery and Regeneration Dynamics in Stand-Replacing Wildfires of Central Apennines Derived from Landsat Time Series
Donato Morresi, Alessandro Vitali, Carlo Urbinati, et al.
Remote Sensing (2019) Vol. 11, Iss. 3, pp. 308-308
Open Access | Times Cited: 72
Improvement of land-cover classification over frequently cloud-covered areas using Landsat 8 time-series composites and an ensemble of supervised classifiers
Duc Chuc Man, Thuy Thanh Nguyen, Quang Hung Bui, et al.
International Journal of Remote Sensing (2017) Vol. 39, Iss. 4, pp. 1243-1255
Closed Access | Times Cited: 66
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