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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:

The Role and Need for Space-Based Forest Biomass-Related Measurements in Environmental Management and Policy
Martin Herold, Sarah Carter, Valerio Avitabile, et al.
Surveys in Geophysics (2019) Vol. 40, Iss. 4, pp. 757-778
Open Access | Times Cited: 131

Showing 1-25 of 131 citing articles:

The role of forest conversion, degradation, and disturbance in the carbon dynamics of Amazon indigenous territories and protected areas
Wayne Walker, Seth R. Gorelik, Alessandro Baccini, et al.
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 6, pp. 3015-3025
Open Access | Times Cited: 274
The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations
Maurizio Santoro, Oliver Cartus, Nuno Carvalhais, et al.
Earth system science data (2021) Vol. 13, Iss. 8, pp. 3927-3950
Open Access | Times Cited: 261
Self-attention for raw optical Satellite Time Series Classification
Marc Rußwurm, Marco Körner
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 169, pp. 421-435
Open Access | Times Cited: 243
Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends
Nicholas C. Coops, Piotr Tompalski, Tristan R.H. Goodbody, et al.
Remote Sensing of Environment (2021) Vol. 260, pp. 112477-112477
Open Access | Times Cited: 236
Performance evaluation of GEDI and ICESat-2 laser altimeter data for terrain and canopy height retrievals
Aobo Liu, Xiao Cheng, Zhuoqi Chen
Remote Sensing of Environment (2021) Vol. 264, pp. 112571-112571
Open Access | Times Cited: 236
The Importance of Consistent Global Forest Aboveground Biomass Product Validation
Laura Duncanson, John Armston, Mathias Disney, et al.
Surveys in Geophysics (2019) Vol. 40, Iss. 4, pp. 979-999
Open Access | Times Cited: 162
A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps
Arnan Araza, Sytze de Bruin, Martin Herold, et al.
Remote Sensing of Environment (2022) Vol. 272, pp. 112917-112917
Open Access | Times Cited: 81
Estimating forest above‐ground biomass with terrestrial laser scanning: Current status and future directions
Miro Demol, Hans Verbeeck, Bert Gielen, et al.
Methods in Ecology and Evolution (2022) Vol. 13, Iss. 8, pp. 1628-1639
Open Access | Times Cited: 71
Upscaling Forest Biomass from Field to Satellite Measurements: Sources of Errors and Ways to Reduce Them
Maxime Réjou‐Méchain, Nicolas Barbier, Pierre Couteron, et al.
Surveys in Geophysics (2019) Vol. 40, Iss. 4, pp. 881-911
Closed Access | Times Cited: 100
Estimation of Forest Growing Stock Volume with UAV Laser Scanning Data: Can It Be Done without Field Data?
Stefano Puliti, Johannes Breidenbach, Rasmus Astrup
Remote Sensing (2020) Vol. 12, Iss. 8, pp. 1245-1245
Open Access | Times Cited: 74
Closing the Water Cycle from Observations across Scales: Where Do We Stand?
Wouter Dorigo, Stephan Dietrich, Filipe Aires, et al.
Bulletin of the American Meteorological Society (2021) Vol. 102, Iss. 10, pp. E1897-E1935
Open Access | Times Cited: 73
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: 58
Performance and Sensitivity of Individual Tree Segmentation Methods for UAV-LiDAR in Multiple Forest Types
Kaisen Ma, Zhenxiong Chen, Liyong Fu, et al.
Remote Sensing (2022) Vol. 14, Iss. 2, pp. 298-298
Open Access | Times Cited: 44
Forest Height Mapping Using Feature Selection and Machine Learning by Integrating Multi-Source Satellite Data in Baoding City, North China
Nan Zhang, Mingjie Chen, Fan Yang, et al.
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4434-4434
Open Access | Times Cited: 40
A LiDAR biomass index-based approach for tree- and plot-level biomass mapping over forest farms using 3D point clouds
Liming Du, Yong Pang, Qiang Wang, et al.
Remote Sensing of Environment (2023) Vol. 290, pp. 113543-113543
Closed Access | Times Cited: 35
Past decade above-ground biomass change comparisons from four multi-temporal global maps
Arnan Araza, Martin Herold, Sytze de Bruin, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 118, pp. 103274-103274
Open Access | Times Cited: 26
A comparative analysis of machine learning techniques for aboveground biomass estimation: A case study of the Western Ghats, India
Kurian Ayushi, Kanda Naveen Babu, Narayanan Ayyappan, et al.
Ecological Informatics (2024) Vol. 80, pp. 102479-102479
Open Access | Times Cited: 15
Bio-oil production from waste plant seeds biomass as pyrolytic lignocellulosic feedstock and its improvement for energy potential: A review
Victor Idankpo Ameh, Olusola Olaitan Ayeleru, Philiswa N. Nomngongo, et al.
Waste Management Bulletin (2024) Vol. 2, Iss. 2, pp. 32-48
Open Access | Times Cited: 14
Monitoring Earth’s climate variables with satellite laser altimetry
Lori A. Magruder, S. L. Farrell, Amy Neuenschwander, et al.
Nature Reviews Earth & Environment (2024) Vol. 5, Iss. 2, pp. 120-136
Closed Access | Times Cited: 13
LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa
Suraj Reddy Rodda, Rakesh Fararoda, Rajashekar Gopalakrishnan, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 10
Approaches of Satellite Remote Sensing for the Assessment of Above-Ground Biomass across Tropical Forests: Pan-tropical to National Scales
Sawaid Abbas, Man Sing Wong, Jin Wu, et al.
Remote Sensing (2020) Vol. 12, Iss. 20, pp. 3351-3351
Open Access | Times Cited: 53
Prediction of Forest Aboveground Biomass Using Multitemporal Multispectral Remote Sensing Data
Parth Naik, Michele Dalponte, Lorenzo Bruzzone
Remote Sensing (2021) Vol. 13, Iss. 7, pp. 1282-1282
Open Access | Times Cited: 50
Emerging reporting and verification needs under the Paris Agreement: How can the research community effectively contribute?
Lucia Perugini, Guido Pellis, Giacomo Grassi, et al.
Environmental Science & Policy (2021) Vol. 122, pp. 116-126
Open Access | Times Cited: 44
Aboveground forest biomass varies across continents, ecological zones and successional stages: refined IPCC default values for tropical and subtropical forests
Danaë M. A. Rozendaal, Daniela Requena Suárez, Véronique De Sy, et al.
Environmental Research Letters (2021) Vol. 17, Iss. 1, pp. 014047-014047
Open Access | Times Cited: 41
Effects of environmental conditions on ICESat-2 terrain and canopy heights retrievals in Central European mountains
Vítězslav Moudrý, Kateřina Gdulová, Lukáš Gábor, et al.
Remote Sensing of Environment (2022) Vol. 279, pp. 113112-113112
Closed Access | Times Cited: 31
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