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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-derived disturbance and recovery history and lidar to map forest biomass dynamics
Dirk Pflugmacher, Warren B. Cohen, Robert E. Kennedy, et al.
Remote Sensing of Environment (2013) Vol. 151, pp. 124-137
Closed Access | Times Cited: 214

Showing 26-50 of 214 citing articles:

Estimating Forest Volume and Biomass and Their Changes Using Random Forests and Remotely Sensed Data
Jéssica Esteban, Ronald E. McRoberts, Alfredo Fernández-Landa, et al.
Remote Sensing (2019) Vol. 11, Iss. 16, pp. 1944-1944
Open Access | Times Cited: 88
Annual Landsat time series reveal post-Soviet changes in grazing pressure
Andrey Dara, Matthias Baumann, Martin Freitag, et al.
Remote Sensing of Environment (2020) Vol. 239, pp. 111667-111667
Closed Access | Times Cited: 77
An improved approach to estimate above-ground volume and biomass of desert shrub communities based on UAV RGB images
Peng Mao, Longjun Qin, Mengyu Hao, et al.
Ecological Indicators (2021) Vol. 125, pp. 107494-107494
Open Access | Times Cited: 57
An improved approach to estimate ratoon rice aboveground biomass by integrating UAV-based spectral, textural and structural features
Le Xu, Longfei Zhou, Ran Meng, et al.
Precision Agriculture (2022) Vol. 23, Iss. 4, pp. 1276-1301
Closed Access | Times Cited: 52
Evaluation of Landsat image compositing algorithms
Shi Qiu, Zhe Zhu, Pontus Olofsson, et al.
Remote Sensing of Environment (2022) Vol. 285, pp. 113375-113375
Open Access | Times Cited: 50
Mapping 10 m global impervious surface area (GISA-10m) using multi-source geospatial data
Xin Huang, Jie Yang, Wenrui Wang, et al.
Earth system science data (2022) Vol. 14, Iss. 8, pp. 3649-3672
Open Access | Times Cited: 48
Quantifying aboveground biomass dynamics from charcoal degradation in Mozambique using GEDI Lidar and Landsat
Mengyu Liang, Laura Duncanson, Julie A. Silva, et al.
Remote Sensing of Environment (2022) Vol. 284, pp. 113367-113367
Open Access | Times Cited: 48
Continuous mapping of aboveground biomass using Landsat time series
Paulo Arévalo, Alessandro Baccini, Curtis E. Woodcock, et al.
Remote Sensing of Environment (2023) Vol. 288, pp. 113483-113483
Open Access | Times Cited: 28
A Comparison of Machine Learning Techniques Applied to Landsat-5 TM Spectral Data for Biomass Estimation
Pablito Marcelo López-Serrano, Carlos A. López‐Sánchez, Juan Gabriél Álvarez‐González, et al.
Canadian Journal of Remote Sensing (2016) Vol. 42, Iss. 6, pp. 690-705
Open Access | Times Cited: 80
Landsat 8 and ICESat-2: Performance and potential synergies for quantifying dryland ecosystem vegetation cover and biomass
Nancy F. Glenn, Amy Neuenschwander, Lee A. Vierling, et al.
Remote Sensing of Environment (2016) Vol. 185, pp. 233-242
Closed Access | Times Cited: 77
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
National Forest Aboveground Biomass Mapping from ICESat/GLAS Data and MODIS Imagery in China
Hong Chi, Guoqing Sun, Jinliang Huang, et al.
Remote Sensing (2015) Vol. 7, Iss. 5, pp. 5534-5564
Open Access | Times Cited: 74
An empirical, integrated forest biomass monitoring system
Robert E. Kennedy, Janet L. Ohmann, Matthew A. Gregory, et al.
Environmental Research Letters (2017) Vol. 13, Iss. 2, pp. 025004-025004
Open Access | Times Cited: 71
Above-ground biomass estimation using airborne discrete-return and full-waveform LiDAR data in a coniferous forest
Sheng Nie, Cheng Wang, Hongcheng Zeng, et al.
Ecological Indicators (2017) Vol. 78, pp. 221-228
Closed Access | Times Cited: 68
Application of Convolutional Neural Network on Lei Bamboo Above-Ground-Biomass (AGB) Estimation Using Worldview-2
Luofan Dong, Huaqiang Du, Ning Han, et al.
Remote Sensing (2020) Vol. 12, Iss. 6, pp. 958-958
Open Access | Times Cited: 67
Mapping Secondary Forest Succession on Abandoned Agricultural Land with LiDAR Point Clouds and Terrestrial Photography
Natalia Kolecka, Jacek Kozak, Dominik Kaim, et al.
Remote Sensing (2015) Vol. 7, Iss. 7, pp. 8300-8322
Open Access | Times Cited: 66
Integrating Airborne LiDAR and Optical Data to Estimate Forest Aboveground Biomass in Arid and Semi-Arid Regions of China
Luodan Cao, Jianjun Pan, Ruijuan Li, et al.
Remote Sensing (2018) Vol. 10, Iss. 4, pp. 532-532
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
Landsat Time-Series for Estimating Forest Aboveground Biomass and Its Dynamics across Space and Time: A Review
Nguyễn Huy Trung, Simon Jones, Mariela Soto‐Berelov, et al.
Remote Sensing (2019) Vol. 12, Iss. 1, pp. 98-98
Open Access | Times Cited: 63
Exploring Bamboo Forest Aboveground Biomass Estimation Using Sentinel-2 Data
Yu‐Yun Chen, Longwei Li, Dengsheng Lu, et al.
Remote Sensing (2018) Vol. 11, Iss. 1, pp. 7-7
Open Access | Times Cited: 60
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
Scaled biomass estimation in woodland ecosystems: Testing the individual and combined capacities of satellite multispectral and lidar data
Michael J. Campbell, Philip E. Dennison, Kelly L. Kerr, et al.
Remote Sensing of Environment (2021) Vol. 262, pp. 112511-112511
Open Access | Times Cited: 54
Greening trends and their relationship with agricultural land abandonment across Poland
Natalia Kolecka
Remote Sensing of Environment (2021) Vol. 257, pp. 112340-112340
Closed Access | Times Cited: 45
Mapping Forest Aboveground Biomass Using Multisource Remotely Sensed Data
Dekker Ehlers, Chao Wang, John W. Coulston, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1115-1115
Open Access | Times Cited: 34
Analysis of the Current Status of Sensors and HBIM Integration: A Review Based on Bibliometric Analysis
Renan Rolim, Concepción López González, María José Viñals Blasco
Heritage (2024) Vol. 7, Iss. 4, pp. 2071-2087
Open Access | Times Cited: 7

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