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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:

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: 129

Showing 1-25 of 129 citing articles:

Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians
Ewa Grabska‐Szwagrzyk, David Frantz, Katarzyna Ostapowicz
Remote Sensing of Environment (2020) Vol. 251, pp. 112103-112103
Closed Access | Times Cited: 171
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: 170
Satellite Remote Sensing Contributions to Wildland Fire Science and Management
Emilio Chuvieco, Inmaculada Aguado, Javier Salas, et al.
Current Forestry Reports (2020) Vol. 6, Iss. 2, pp. 81-96
Closed Access | Times Cited: 163
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: 146
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
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: 88
Spatio-temporal analysis of forest fire events in the Margalla Hills, Islamabad, Pakistan using socio-economic and environmental variable data with machine learning methods
Aqil Tariq, Hong Shu, Saima Siddiqui, et al.
Journal of Forestry Research (2021) Vol. 33, Iss. 1, pp. 183-194
Closed Access | Times Cited: 86
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: 80
Machine learning-based spatial-temporal assessment and change transition analysis of wetlands: An application of Google Earth Engine in Sylhet, Bangladesh (1985–2022)
Mirza Waleed, Muhammad Sajjad, Muhammad Shareef Shazil, et al.
Ecological Informatics (2023) Vol. 75, pp. 102075-102075
Closed Access | Times Cited: 35
Multi-temporal image analysis of wetland dynamics using machine learning algorithms
Rana Waqar Aslam, Iram Naz, Hong Shu, et al.
Journal of Environmental Management (2024) Vol. 371, pp. 123123-123123
Closed Access | Times Cited: 14
Impact of topography and climate on post-fire vegetation recovery across different burn severity and land cover types through random forest
Faria Tuz Zahura, Gautam Bisht, Zhiwei Li, et al.
Ecological Informatics (2024) Vol. 82, pp. 102757-102757
Open Access | Times Cited: 9
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: 74
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: 66
Identifying Post-Fire Recovery Trajectories and Driving Factors Using Landsat Time Series in Fire-Prone Mediterranean Pine Forests
Alba Viana‐Soto, Inmaculada Aguado, Javier Salas, et al.
Remote Sensing (2020) Vol. 12, Iss. 9, pp. 1499-1499
Open Access | Times Cited: 65
Monitoring aboveground forest biomass dynamics over three decades using Landsat time-series and single-date inventory data
Trung Hiếu Nguyễn, Simon Jones, Mariela Soto‐Berelov, et al.
International Journal of Applied Earth Observation and Geoinformation (2019) Vol. 84, pp. 101952-101952
Open Access | Times Cited: 56
Spatially Stratified and Multi-Stage Approach for National Land Cover Mapping Based on Sentinel-2 Data and Expert Knowledge
Hugo Costa, Pedro Benevides, Francisco D. Moreira, et al.
Remote Sensing (2022) Vol. 14, Iss. 8, pp. 1865-1865
Open Access | Times Cited: 36
Improving the remote estimation of soil organic carbon in complex ecosystems with Sentinel-2 and GIS using Gaussian processes regression
Johanna Elizabeth Ayala Izurieta, Carlos Arturo Jara Santillán, Carmen O. Márquez, et al.
Plant and Soil (2022) Vol. 479, Iss. 1-2, pp. 159-183
Open Access | Times Cited: 29
Mapping Land Use/Land Cover Changes and Forest Disturbances in Vietnam Using a Landsat Temporal Segmentation Algorithm
Katsuto Shimizu, Wataru Murakami, Takahisa Furuichi, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 851-851
Open Access | Times Cited: 20
Wildfire susceptibility mapping by incorporating damage proxy maps, differenced normalized burn Ratio, and deep learning algorithms based on sentinel-1/2 data: a case study on Maui Island, Hawaii
Suci Ramayanti, Bong-Chan Kim, Sungjae Park, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 8
Unmixing-based forest recovery indicators for predicting long-term recovery success
Lisa Mandl, Alba Viana‐Soto, Rupert Seidl, et al.
Remote Sensing of Environment (2024) Vol. 308, pp. 114194-114194
Open Access | Times Cited: 7
A satellite data driven approach to monitoring and reporting fire disturbance and recovery across boreal and temperate forests
Samuel Hislop, Andrew Haywood, Simon Jones, et al.
International Journal of Applied Earth Observation and Geoinformation (2019) Vol. 87, pp. 102034-102034
Open Access | Times Cited: 54
Mapping Land Cover Change over a 25-Year Period (1993–2018) in Sri Lanka Using Landsat Time-Series
Chithrangani WM Rathnayake, Simon Jones, Mariela Soto‐Berelov
Land (2020) Vol. 9, Iss. 1, pp. 27-27
Open Access | Times Cited: 47
Leveraging cloud-based computing and spatial modeling approaches for land surface temperature disparities in response to land cover change: Evidence from Pakistan
Mirza Waleed, Muhammad Sajjad
Remote Sensing Applications Society and Environment (2021) Vol. 25, pp. 100665-100665
Closed Access | Times Cited: 40
Burned Area Mapping over the Southern Cape Forestry Region, South Africa Using Sentinel Data within GEE Cloud Platform
Sifiso Xulu, Nkanyiso Mbatha, Kabir Peerbhay
ISPRS International Journal of Geo-Information (2021) Vol. 10, Iss. 8, pp. 511-511
Open Access | Times Cited: 37
Assessing post-fire forest structure recovery by combining LiDAR data and Landsat time series in Mediterranean pine forests
Alba Viana‐Soto, Mariano Garcı́a, Inmaculada Aguado, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 108, pp. 102754-102754
Open Access | Times Cited: 28
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