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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:

Humid tropical forest disturbance alerts using Landsat data
Matthew C. Hansen, Alexander Krylov, Alexandra Tyukavina, et al.
Environmental Research Letters (2016) Vol. 11, Iss. 3, pp. 034008-034008
Open Access | Times Cited: 252

Showing 1-25 of 252 citing articles:

Global Carbon Budget 2020
Pierre Friedlingstein, Michael O’Sullivan, Matthew W. Jones, et al.
Earth system science data (2020) Vol. 12, Iss. 4, pp. 3269-3340
Open Access | Times Cited: 2204
Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications
Zhe Zhu
ISPRS Journal of Photogrammetry and Remote Sensing (2017) Vol. 130, pp. 370-384
Open Access | Times Cited: 722
Rapid conversions and avoided deforestation: examining four decades of industrial plantation expansion in Borneo
David Gaveau, Douglas Sheil, Husnayaen Husnayaen, et al.
Scientific Reports (2016) Vol. 6, Iss. 1
Open Access | Times Cited: 428
Benefits of the free and open Landsat data policy
Zhe Zhu, Michael A. Wulder, David P. Roy, et al.
Remote Sensing of Environment (2019) Vol. 224, pp. 382-385
Open Access | Times Cited: 406
Monitoring tropical forest degradation using spectral unmixing and Landsat time series analysis
Eric L. Bullock, Curtis E. Woodcock, Pontus Olofsson
Remote Sensing of Environment (2018) Vol. 238, pp. 110968-110968
Open Access | Times Cited: 241
Continuous monitoring of land disturbance based on Landsat time series
Zhe Zhu, Junxue Zhang, Zhiqiang Yang, et al.
Remote Sensing of Environment (2019) Vol. 238, pp. 111116-111116
Open Access | Times Cited: 237
Improving near-real time deforestation monitoring in tropical dry forests by combining dense Sentinel-1 time series with Landsat and ALOS-2 PALSAR-2
Johannes Reiche, Eliakim Hamunyela, Jan Verbesselt, et al.
Remote Sensing of Environment (2017) Vol. 204, pp. 147-161
Closed Access | Times Cited: 227
Using spatial statistics to identify emerging hot spots of forest loss
Nancy L. Harris, Elizabeth Dow Goldman, Christopher Gabris, et al.
Environmental Research Letters (2017) Vol. 12, Iss. 2, pp. 024012-024012
Open Access | Times Cited: 206
Types and rates of forest disturbance in Brazilian Legal Amazon, 2000–2013
Alexandra Tyukavina, Matthew C. Hansen, Peter Potapov, et al.
Science Advances (2017) Vol. 3, Iss. 4
Open Access | Times Cited: 203
Empirical cross sensor comparison of Sentinel-2A and 2B MSI, Landsat-8 OLI, and Landsat-7 ETM+ top of atmosphere spectral characteristics over the conterminous United States
Robert A. Chastain, Ian W. Housman, Joshua Goldstein, et al.
Remote Sensing of Environment (2018) Vol. 221, pp. 274-285
Open Access | Times Cited: 172
Forest disturbance alerts for the Congo Basin using Sentinel-1
Johannes Reiche, Adugna Mullissa, Bart Slagter, et al.
Environmental Research Letters (2021) Vol. 16, Iss. 2, pp. 024005-024005
Open Access | Times Cited: 135
Slowing deforestation in Indonesia follows declining oil palm expansion and lower oil prices
David Gaveau, Bruno Locatelli, Mohammad A. Salim, et al.
PLoS ONE (2022) Vol. 17, Iss. 3, pp. e0266178-e0266178
Open Access | Times Cited: 108
A First Assessment of Canopy Cover Loss in Germany’s Forests after the 2018–2020 Drought Years
Frank Thonfeld, Ursula Geßner, Stefanie Holzwarth, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 562-562
Open Access | Times Cited: 103
Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar
Jamie Tolan, Hung-I Yang, Benjamin Nosarzewski, et al.
Remote Sensing of Environment (2023) Vol. 300, pp. 113888-113888
Open Access | Times Cited: 76
Need and vision for global medium-resolution Landsat and Sentinel-2 data products
Volker C. Radeloff, David P. Roy, Michael A. Wulder, et al.
Remote Sensing of Environment (2023) Vol. 300, pp. 113918-113918
Open Access | Times Cited: 55
Community forest management in Indonesia: Avoided deforestation in the context of anthropogenic and climate complexities
Truly Santika, Erik Meijaard, Sugeng Budiharta, et al.
Global Environmental Change (2017) Vol. 46, pp. 60-71
Open Access | Times Cited: 157
Combating deforestation: From satellite to intervention
Matt Finer, Sidney Novoa, Mikaela Weisse, et al.
Science (2018) Vol. 360, Iss. 6395, pp. 1303-1305
Closed Access | Times Cited: 150
The Role and Need for Space-Based Forest Biomass-Related Measurements in Environmental Management and Policy
Martin Herold, Sarah Carter, Valerio Avitabile, et al.
Surveys in Geophysics (2019) Vol. 40, Iss. 4, pp. 757-778
Open Access | Times Cited: 133
Emerging threats linking tropical deforestation and the COVID-19 pandemic
Pedro H. S. Brancalion, Eben N. Broadbent, Sergio de‐Miguel, et al.
Perspectives in Ecology and Conservation (2020) Vol. 18, Iss. 4, pp. 243-246
Open Access | Times Cited: 131
The role of satellite remote sensing in structured ecosystem risk assessments
Nicholas Murray, David A. Keith, Lucie M. Bland, et al.
The Science of The Total Environment (2017) Vol. 619-620, pp. 249-257
Open Access | Times Cited: 121
Continuous subpixel monitoring of urban impervious surface using Landsat time series
Chengbin Deng, Zhe Zhu
Remote Sensing of Environment (2018) Vol. 238, pp. 110929-110929
Closed Access | Times Cited: 120
Use of the SAR Shadowing Effect for Deforestation Detection with Sentinel-1 Time Series
Alexandre Bouvet, Stéphane Mermoz, Marie Ballère, et al.
Remote Sensing (2018) Vol. 10, Iss. 8, pp. 1250-1250
Open Access | Times Cited: 109
Rapid Land Cover Map Updates Using Change Detection and Robust Random Forest Classifiers
Konrad Wessels, F. van den Bergh, David P. Roy, et al.
Remote Sensing (2016) Vol. 8, Iss. 11, pp. 888-888
Open Access | Times Cited: 99
Near real-time monitoring of tropical forest disturbance: New algorithms and assessment framework
Xiaojing Tang, Eric L. Bullock, Pontus Olofsson, et al.
Remote Sensing of Environment (2019) Vol. 224, pp. 202-218
Closed Access | Times Cited: 89
A near-real-time approach for monitoring forest disturbance using Landsat time series: stochastic continuous change detection
Su Ye, John Rogan, Zhe Zhu, et al.
Remote Sensing of Environment (2020) Vol. 252, pp. 112167-112167
Open Access | Times Cited: 89
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