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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:

Monitoring coniferous forest biomass change using a Landsat trajectory-based approach
Magdalena Main-Knorn, Warren B. Cohen, Robert E. Kennedy, et al.
Remote Sensing of Environment (2013) Vol. 139, pp. 277-290
Closed Access | Times Cited: 110

Showing 1-25 of 110 citing articles:

Optical remotely sensed time series data for land cover classification: A review
Cristina Gómez, Joanne C. White, Michael A. Wulder
ISPRS Journal of Photogrammetry and Remote Sensing (2016) Vol. 116, pp. 55-72
Open Access | Times Cited: 1055
Tropical forests are a net carbon source based on aboveground measurements of gain and loss
Alessandro Baccini, Wayne Walker, Luís Carvalho, et al.
Science (2017) Vol. 358, Iss. 6360, pp. 230-234
Open Access | Times Cited: 780
Forest Monitoring Using Landsat Time Series Data: A Review
Asim Banskota, Nilam Kayastha, Michael J. Falkowski, et al.
Canadian Journal of Remote Sensing (2014) Vol. 40, Iss. 5, pp. 362-384
Open Access | Times Cited: 361
Improving forest aboveground biomass estimation using seasonal Landsat NDVI time-series
Xiaolin Zhu, Desheng Liu
ISPRS Journal of Photogrammetry and Remote Sensing (2014) Vol. 102, pp. 222-231
Closed Access | Times Cited: 340
Biomass and bioenergy: An overview of the development potential in Turkey and Malaysia
Münir Öztürk, N. Saba, Volkan Altay, et al.
Renewable and Sustainable Energy Reviews (2017) Vol. 79, pp. 1285-1302
Closed Access | Times Cited: 223
Detecting the dynamics of vegetation disturbance and recovery in surface mining area via Landsat imagery and LandTrendr algorithm
Yongjun Yang, Peter D. Erskine, Alex M. Lechner, et al.
Journal of Cleaner Production (2018) Vol. 178, pp. 353-362
Closed Access | Times Cited: 170
Demystifying LandTrendr and CCDC temporal segmentation
Valerie J. Pasquarella, Paulo Arévalo, Kelsee H. Bratley, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 110, pp. 102806-102806
Open Access | Times Cited: 104
Tracking disturbance-regrowth dynamics in tropical forests using structural change detection and Landsat time series
Ben DeVries, Mathieu Decuyper, Jan Verbesselt, et al.
Remote Sensing of Environment (2015) Vol. 169, pp. 320-334
Closed Access | Times Cited: 169
Linking Earth Observation and taxonomic, structural and functional biodiversity: Local to ecosystem perspectives
Angela Lausch, Lutz Bannehr, Michael Beckmann, et al.
Ecological Indicators (2016) Vol. 70, pp. 317-339
Open Access | Times Cited: 160
Integrating Landsat pixel composites and change metrics with lidar plots to predictively map forest structure and aboveground biomass in Saskatchewan, Canada
Harold S. J. Zald, Michael A. Wulder, Joanne C. White, et al.
Remote Sensing of Environment (2016) Vol. 176, pp. 188-201
Open Access | Times Cited: 132
Estimation of the forest stand mean height and aboveground biomass in Northeast China using SAR Sentinel-1B, multispectral Sentinel-2A, and DEM imagery
Yanan Liu, Weishu Gong, Yanqiu Xing, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 151, pp. 277-289
Open Access | Times Cited: 132
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
Hyper-temporal remote sensing for digital soil mapping: Characterizing soil-vegetation response to climatic variability
Jonathan J. Maynard, Matthew R. Levi
Geoderma (2016) Vol. 285, pp. 94-109
Open Access | Times Cited: 90
Long-Term Monitoring of Cropland Change near Dongting Lake, China, Using the LandTrendr Algorithm with Landsat Imagery
Lihong Zhu, Xiangnan Liu, Ling Wu, et al.
Remote Sensing (2019) Vol. 11, Iss. 10, pp. 1234-1234
Open Access | Times Cited: 79
Above-ground biomass change estimation using national forest inventory data with Sentinel-2 and Landsat
Stefano Puliti, Johannes Breidenbach, Johannes Schumacher, et al.
Remote Sensing of Environment (2021) Vol. 265, pp. 112644-112644
Open Access | Times Cited: 60
Landsat-based monitoring of annual wetland change in the Willamette Valley of Oregon, USA from 1972 to 2012
Kate C. Fickas, Warren B. Cohen, Zhiqiang Yang
Wetlands Ecology and Management (2015) Vol. 24, Iss. 1, pp. 73-92
Closed Access | Times Cited: 83
Assessment of spatio-temporal changes of smallholder cultivation patterns in the Angolan Miombo belt using segmentation of Landsat time series
Anne Schneibel, Marion Stellmes, Achim Röder, et al.
Remote Sensing of Environment (2017) Vol. 195, pp. 118-129
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
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
A generalized regression-based unmixing model for mapping forest cover fractions throughout three decades of Landsat data
Cornelius Senf, Josef Laštovička, Akpona Okujeni, et al.
Remote Sensing of Environment (2020) Vol. 240, pp. 111691-111691
Closed Access | Times Cited: 52
Estimating Forest Aboveground Biomass Using Gaofen-1 Images, Sentinel-1 Images, and Machine Learning Algorithms: A Case Study of the Dabie Mountain Region, China
Haoshuang Han, Rongrong Wan, Bing Li
Remote Sensing (2021) Vol. 14, Iss. 1, pp. 176-176
Open Access | Times Cited: 42
Comparison of the Continuity of Vegetation Indices Derived from Landsat 8 OLI and Landsat 7 ETM+ Data among Different Vegetation Types
Xiaojun She, Lifu Zhang, Yi Cen, et al.
Remote Sensing (2015) Vol. 7, Iss. 10, pp. 13485-13506
Open Access | Times Cited: 64
Annual forest aboveground biomass changes mapped using ICESat/GLAS measurements, historical inventory data, and time-series optical and radar imagery for Guangdong province, China
Wenjuan Shen, Mingshi Li, Chengquan Huang, et al.
Agricultural and Forest Meteorology (2018) Vol. 259, pp. 23-38
Open Access | Times Cited: 59
Mapping Annual Land Use and Land Cover Changes Using MODIS Time Series
He Yin, Dirk Pflugmacher, Robert E. Kennedy, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2014) Vol. 7, Iss. 8, pp. 3421-3427
Closed Access | Times Cited: 58
Predicting Eucalyptus spp. stand volume in Zululand, South Africa: an analysis using a stochastic gradient boosting regression ensemble with multi-source data sets
Timothy Dube, Onisimo Mutanga, Elfatih M. Abdel‐Rahman, et al.
International Journal of Remote Sensing (2015) Vol. 36, Iss. 14, pp. 3751-3772
Closed Access | Times Cited: 55
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