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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:

Regional Mapping of Plantation Extent Using Multisensor Imagery
Nathan Torbick, Lindsay Kirsten Ledoux, William Salas, et al.
Remote Sensing (2016) Vol. 8, Iss. 3, pp. 236-236
Open Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

A mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform
Bangqian Chen, Xiangming Xiao, Xiangping Li, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2017) Vol. 131, pp. 104-120
Open Access | Times Cited: 380
Monitoring Rice Agriculture across Myanmar Using Time Series Sentinel-1 Assisted by Landsat-8 and PALSAR-2
Nathan Torbick, Diya Chowdhury, William Salas, et al.
Remote Sensing (2017) Vol. 9, Iss. 2, pp. 119-119
Open Access | Times Cited: 251
Mapping cropland extent of Southeast and Northeast Asia using multi-year time-series Landsat 30-m data using a random forest classifier on the Google Earth Engine Cloud
Adam Oliphant, Prasad S. Thenkabail, Pardhasaradhi Teluguntla, et al.
International Journal of Applied Earth Observation and Geoinformation (2019) Vol. 81, pp. 110-124
Open Access | Times Cited: 189
Mapping China’s planted forests using high resolution imagery and massive amounts of crowdsourced samples
Kai Cheng, Yanjun Su, Hongcan Guan, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 196, pp. 356-371
Closed Access | Times Cited: 54
Above-ground biomass prediction by Sentinel-1 multitemporal data in central Italy with integration of ALOS2 and Sentinel-2 data
Gaia Vaglio Laurin, Johannes Balling, Piermaria Corona, et al.
Journal of Applied Remote Sensing (2018) Vol. 12, Iss. 01, pp. 1-1
Open Access | Times Cited: 136
Mapping Plantations in Myanmar by Fusing Landsat-8, Sentinel-2 and Sentinel-1 Data along with Systematic Error Quantification
Ate Poortinga, Karis Tenneson, Aurélie Shapiro, et al.
Remote Sensing (2019) Vol. 11, Iss. 7, pp. 831-831
Open Access | Times Cited: 134
Combined Landsat and L-Band SAR Data Improves Land Cover Classification and Change Detection in Dynamic Tropical Landscapes
Jose Don T. De Alban, Grant M. Connette, Patrick Oswald, et al.
Remote Sensing (2018) Vol. 10, Iss. 2, pp. 306-306
Open Access | Times Cited: 116
The expansion of tree plantations across tropical biomes
Matthew E. Fagan, Do‐Hyung Kim, Wesley Settle, et al.
Nature Sustainability (2022) Vol. 5, Iss. 8, pp. 681-688
Open Access | Times Cited: 64
Accelerating Crop Yield: Multisensor Data Fusion and Machine Learning for Agriculture Text Classification
A. Reyana, Sandeep Kautish, P. M. Sharan Karthik, et al.
IEEE Access (2023) Vol. 11, pp. 20795-20805
Open Access | Times Cited: 33
Participatory mapping of forest plantations with Open Foris and Google Earth Engine
Joni Koskinen, Ulpu Leinonen, Andreas Vollrath, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2018) Vol. 148, pp. 63-74
Open Access | Times Cited: 78
Synergetic of PALSAR-2 and Sentinel-1A SAR Polarimetry for Retrieving Aboveground Biomass in Dipterocarp Forest of Malaysia
Hamdan Omar, Muhamad Afizzul Misman, Abd Rahman Kassim
Applied Sciences (2017) Vol. 7, Iss. 7, pp. 675-675
Open Access | Times Cited: 73
Estimating Forest Stock Volume in Hunan Province, China, by Integrating In Situ Plot Data, Sentinel-2 Images, and Linear and Machine Learning Regression Models
Yang Hu, Xuelei Xu, Fayun Wu, et al.
Remote Sensing (2020) Vol. 12, Iss. 1, pp. 186-186
Open Access | Times Cited: 63
Improved estimates of mangrove cover and change reveal catastrophic deforestation in Myanmar
Jose Don T. De Alban, Johanness Jamaludin, Donovan Wong de Wen, et al.
Environmental Research Letters (2019) Vol. 15, Iss. 3, pp. 034034-034034
Open Access | Times Cited: 61
Combining Radar and Optical Imagery to Map Oil Palm Plantations in Sumatra, Indonesia, Using the Google Earth Engine
Thuan Sarzynski, Xingli Giam, Luis Carrasco, et al.
Remote Sensing (2020) Vol. 12, Iss. 7, pp. 1220-1220
Open Access | Times Cited: 54
Modeling the Spatial Distribution of Acacia decurrens Plantation Forests Using PlanetScope Images and Environmental Variables in the Northwestern Highlands of Ethiopia
Bireda Alemayehu, Juan Carlos Pinilla Suárez, J. Rosette
Forests (2024) Vol. 15, Iss. 2, pp. 277-277
Open Access | Times Cited: 7
Mapping the Expansion of Boom Crops in Mainland Southeast Asia Using Dense Time Stacks of Landsat Data
Kaspar Hurni, Annemarie Schneider, Andreas Heinimann, et al.
Remote Sensing (2017) Vol. 9, Iss. 4, pp. 320-320
Open Access | Times Cited: 53
Mapping Distinct Forest Types Improves Overall Forest Identification Based on Multi-Spectral Landsat Imagery for Myanmar’s Tanintharyi Region
Grant M. Connette, Patrick Oswald, Melissa Songer, et al.
Remote Sensing (2016) Vol. 8, Iss. 11, pp. 882-882
Open Access | Times Cited: 49
Land Use Change and Climate Variation in the Three Gorges Reservoir Catchment from 2000 to 2015 Based on the Google Earth Engine
Binfei Hao, Mingguo Ma, Shiwei Li, et al.
Sensors (2019) Vol. 19, Iss. 9, pp. 2118-2118
Open Access | Times Cited: 48
Land Cover Mapping in Cloud-Prone Tropical Areas Using Sentinel-2 Data: Integrating Spectral Features with Ndvi Temporal Dynamics
Chong Huang, Chenchen Zhang, Yun He, et al.
Remote Sensing (2020) Vol. 12, Iss. 7, pp. 1163-1163
Open Access | Times Cited: 40
Evaluation of SAR and Optical Image Fusion Methods in Oil Palm Crop Cover Classification Using the Random Forest Algorithm
Jose Manuel Monsalve-Tellez, Jorge Luís Torres-León, Yeison Alberto Garcés-Gómez
Agriculture (2022) Vol. 12, Iss. 7, pp. 955-955
Open Access | Times Cited: 22
Evaluation of Land Use Land Cover Changes in Nan Province, Thailand, Using Multi-Sensor Satellite Data and Google Earth Engine
Jiratiwan Kruasilp, Sura Pattanakiat, Thamarat Phutthai, et al.
Environment and Natural Resources Journal (2023) Vol. 21, Iss. 2, pp. 1-12
Open Access | Times Cited: 13
Spatial Characterization of Woody Species Diversity in Tropical Savannas Using GEDI and Optical Data
Franciel Eduardo Rex, Carlos Alberto Silva, Eben N. Broadbent, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 308-308
Open Access
A Machine Learning and Cross-Validation Approach for the Discrimination of Vegetation Physiognomic Types Using Satellite Based Multispectral and Multitemporal Data
Ram C. Sharma, Keitarou Hara, Hidetake Hirayama
Scientifica (2017) Vol. 2017, pp. 1-8
Open Access | Times Cited: 46
Mapping pine plantations in the southeastern U.S. using structural, spectral, and temporal remote sensing data
Matthew E. Fagan, Douglas C. Morton, Bruce D. Cook, et al.
Remote Sensing of Environment (2018) Vol. 216, pp. 415-426
Closed Access | Times Cited: 45
Post-Disaster Recovery Monitoring with Google Earth Engine
Saman Ghaffarian, Ali Rezaie Farhadabad, N. Kerle
Applied Sciences (2020) Vol. 10, Iss. 13, pp. 4574-4574
Open Access | Times Cited: 35
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