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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:

Performance of vegetation indices from Landsat time series in deforestation monitoring
Michael Schultz, J.G.P.W. Clevers, Sarah Carter, et al.
International Journal of Applied Earth Observation and Geoinformation (2016) Vol. 52, pp. 318-327
Closed Access | Times Cited: 181

Showing 1-25 of 181 citing articles:

Historical background and current developments for mapping burned area from satellite Earth observation
Emilio Chuvieco, Florent Mouillot, Guido R. van der Werf, et al.
Remote Sensing of Environment (2019) Vol. 225, pp. 45-64
Open Access | Times Cited: 479
Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review
Michel Eustáquio Dantas Chaves, Michelle Cristina Araújo Picoli, Ieda Del’Arco Sanches
Remote Sensing (2020) Vol. 12, Iss. 18, pp. 3062-3062
Open Access | Times Cited: 258
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: 240
A LandTrendr multispectral ensemble for forest disturbance detection
Warren B. Cohen, Zhiqiang Yang, Sean P. Healey, et al.
Remote Sensing of Environment (2017) Vol. 205, pp. 131-140
Open Access | Times Cited: 233
Climatic or regionally induced by humans? Tracing hydro-climatic and land-use changes to better understand the Lake Urmia tragedy
Bahram Khazaei, Sina Khatami, Hamed Alemohammad, et al.
Journal of Hydrology (2018) Vol. 569, pp. 203-217
Closed Access | Times Cited: 216
Satellite‐based estimates reveal widespread forest degradation in the Amazon
Eric L. Bullock, Curtis E. Woodcock, Carlos Souza, et al.
Global Change Biology (2020) Vol. 26, Iss. 5, pp. 2956-2969
Closed Access | Times Cited: 193
A Modified Bare Soil Index to Identify Bare Land Features during Agricultural Fallow-Period in Southeast Asia Using Landsat 8
Cần Trọng Nguyễn, Amnat Chidthaisong, Phan Kieu Diem, et al.
Land (2021) Vol. 10, Iss. 3, pp. 231-231
Open Access | Times Cited: 145
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
Open land cover from OpenStreetMap and remote sensing
Michael Schultz, Janek Voss, Michael Auer, et al.
International Journal of Applied Earth Observation and Geoinformation (2017) Vol. 63, pp. 206-213
Closed Access | Times Cited: 126
Improved change monitoring using an ensemble of time series algorithms
Eric L. Bullock, Curtis E. Woodcock, Christopher E. Holden
Remote Sensing of Environment (2019) Vol. 238, pp. 111165-111165
Open Access | Times Cited: 90
The end of gunpoint conservation: forest disturbance after the Colombian peace agreement
Paulo J. Murillo‐Sandoval, Kristina Van Dexter, Jamon Van Den Hoek, et al.
Environmental Research Letters (2020) Vol. 15, Iss. 3, pp. 034033-034033
Open Access | Times Cited: 90
Sentinel-2 Data in an Evaluation of the Impact of the Disturbances on Forest Vegetation
Josef Laštovička, Pavel Švec, Daniel Paluba, et al.
Remote Sensing (2020) Vol. 12, Iss. 12, pp. 1914-1914
Open Access | Times Cited: 89
No peace for the forest: Rapid, widespread land changes in the Andes-Amazon region following the Colombian civil war
Paulo J. Murillo‐Sandoval, Emma Gjerdseth, Camilo Andrés Correa Ayram, et al.
Global Environmental Change (2021) Vol. 69, pp. 102283-102283
Closed Access | Times Cited: 70
Sentinel-1 and 2 Time-Series for Vegetation Mapping Using Random Forest Classification: A Case Study of Northern Croatia
Dino Dobrinić, Mateo Gašparović, Damir Medak
Remote Sensing (2021) Vol. 13, Iss. 12, pp. 2321-2321
Open Access | Times Cited: 64
Characterizing forest disturbances across the Argentine Dry Chaco based on Landsat time series
Teresa De Marzo, Dirk Pflugmacher, Matthias Baumann, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 98, pp. 102310-102310
Open Access | Times Cited: 58
Time series analysis for global land cover change monitoring: A comparison across sensors
Lili Xu, Martin Herold, Nandin‐Erdene Tsendbazar, et al.
Remote Sensing of Environment (2022) Vol. 271, pp. 112905-112905
Closed Access | Times Cited: 44
Continuous monitoring and sub-annual change detection in high-latitude forests using Harmonized Landsat Sentinel-2 data
Christopher Mulverhill, Nicholas C. Coops, Alexis Achim
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 197, pp. 309-319
Closed Access | Times Cited: 29
Near real-time monitoring of tropical forest disturbance by fusion of Landsat, Sentinel-2, and Sentinel-1 data
Xiaojing Tang, Kelsee H. Bratley, Kangjoon Cho, et al.
Remote Sensing of Environment (2023) Vol. 294, pp. 113626-113626
Open Access | Times Cited: 25
The distribution of global tidal marshes from Earth observation data
Thomas A. Worthington, Mark Spalding, Emily Landis, et al.
Global Ecology and Biogeography (2024) Vol. 33, Iss. 8
Open Access | Times Cited: 15
Harnessing Artificial Intelligence, Machine Learning and Deep Learning for Sustainable Forestry Management and Conservation: Transformative Potential and Future Perspectives
T. J. Wang, Yiping Zuo, Teja Manda, et al.
Plants (2025) Vol. 14, Iss. 7, pp. 998-998
Open Access | Times Cited: 1
Generation of high-resolution fuel model maps from discrete airborne laser scanner and Landsat-8 OLI: A low-cost and highly updated methodology for large areas
Eva Marino, Pedro Ranz, José Luis Pensado Tomé, et al.
Remote Sensing of Environment (2016) Vol. 187, pp. 267-280
Closed Access | Times Cited: 70
Detecting Spatiotemporal Changes in Vegetation with the BFAST Model in the Qilian Mountain Region during 2000–2017
Liying Geng, Tao Che, Xufeng Wang, et al.
Remote Sensing (2019) Vol. 11, Iss. 2, pp. 103-103
Open Access | Times Cited: 67
A fusion approach to forest disturbance mapping using time series ensemble techniques
Samuel Hislop, Simon Jones, Mariela Soto‐Berelov, et al.
Remote Sensing of Environment (2018) Vol. 221, pp. 188-197
Open Access | Times Cited: 65
The Benefits and Pitfalls of Using Satellite Data for Causal Inference
Meha Jain
Review of Environmental Economics and Policy (2019) Vol. 14, Iss. 1, pp. 157-169
Closed Access | Times Cited: 64
Comparison of Random Forest, Support Vector Machines, and Neural Networks for Post-Disaster Forest Species Mapping of the Krkonoše/Karkonosze Transboundary Biosphere Reserve
Bogdan Zagajewski, Marcin Kluczek, Edwin Raczko, et al.
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2581-2581
Open Access | Times Cited: 55
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