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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:

Remote Sensing of Aboveground Biomass in Tropical Secondary Forests: A Review
Jomar M. Barbosa, Eben N. Broadbent, Marisa Dantas Bitencourt
International Journal of Forestry Research (2014) Vol. 2014, pp. 1-14
Open Access | Times Cited: 76

Showing 26-50 of 76 citing articles:

Aboveground biomass in secondary montane forests in Peru: Slow carbon recovery in agroforestry legacies
Susan Aragón, Norma Salinas, Alex Nina, et al.
Global Ecology and Conservation (2021) Vol. 28, pp. e01696-e01696
Open Access | Times Cited: 19
Allometric models for managing lowland miombo woodlands of the Beira corridor in Mozambique
Benard S. Guedes, Almeida Sitoe, Bengt A. Olsson
Global Ecology and Conservation (2018) Vol. 13, pp. e00374-e00374
Open Access | Times Cited: 23
Fine Wood Decomposition Rates Decline with the Age of Tropical Successional Forests in Southern Mexico: Implications to Ecosystem Carbon Storage
Deb Raj Aryal, Ben de Jong, Susana Ochoa‐Gaona, et al.
Ecosystems (2021) Vol. 25, Iss. 3, pp. 661-677
Closed Access | Times Cited: 18
Estimation of aboveground biomass and carbon in a tropical rain forest in Gabon using remote sensing and GPS data
Kalifa Goı̈ta, Jacques Mouloungou, G.B. Bénié
Geocarto International (2017) Vol. 34, Iss. 3, pp. 243-259
Closed Access | Times Cited: 20
Improving estimation of forest aboveground biomass using Landsat 8 imagery by incorporating forest crown density as a dummy variable
Chao Li, Mingyang Li, Zhenzhen Liu
Canadian Journal of Forest Research (2019) Vol. 50, Iss. 4, pp. 390-398
Closed Access | Times Cited: 17
Predicting old-growth tropical forest attributes from very high resolution (VHR)-derived surface metrics
Jonathan V. Solórzano, Jorge A. Meave, J. Alberto Gallardo-Cruz, et al.
International Journal of Remote Sensing (2016) Vol. 38, Iss. 2, pp. 492-513
Closed Access | Times Cited: 16
Machine learning-based estimates of aboveground biomass of subalpine forests using Landsat 8 OLI and Sentinel-2B images in the Jiuzhaigou National Nature Reserve, Eastern Tibet Plateau
Ke Luo, Yufeng Wei, Jie Du, et al.
Journal of Forestry Research (2021) Vol. 33, Iss. 4, pp. 1329-1340
Closed Access | Times Cited: 13
Mapping individual tree and plot-level biomass using airborne and mobile lidar in piñon-juniper woodlands
Michael J. Campbell, Jessie F. Eastburn, Katherine A. Mistick, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 118, pp. 103232-103232
Open Access | Times Cited: 5
Determining Effective Meter-Scale Image Data and Spectral Vegetation Indices for Tropical Forest Tree Species Differentiation
Matthew D. Cross, T. A. Scambos, Fabio Pacifici, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2019) Vol. 12, Iss. 8, pp. 2934-2943
Closed Access | Times Cited: 15
Mapping Aboveground Woody Biomass on Abandoned Agricultural Land Based on Airborne Laser Scanning Data
Ivan Sačkov, Ivan Barka, Tomáš Bucha
Remote Sensing (2020) Vol. 12, Iss. 24, pp. 4189-4189
Open Access | Times Cited: 12
Aboveground biomass estimation in dry forest in northeastern Brazil using metrics extracted from sentinel-2 data: Comparing parametric and non-parametric estimation methods
Márcia Rodrigues de Moura Fernandes, Gilson Fernandes da Silva, André Quintão de Almeida, et al.
Advances in Space Research (2023) Vol. 72, Iss. 2, pp. 361-377
Closed Access | Times Cited: 4
Estimation of Carbon Stocks of Birch Forests on Abandoned Arable Lands in the Cis-Ural Using Unmanned Aerial Vehicle-Mounted LiDAR Camera
Nikolay Fedorov, Ilnur Bikbaev, П. С. Широких, et al.
Forests (2023) Vol. 14, Iss. 12, pp. 2392-2392
Open Access | Times Cited: 4
Monitoring long-term forest dynamics with scarce data: a multi-date classification implementation in the Ecuadorian Amazon
Fabián Santos, Pablo Meneses, Patrick Hostert
European Journal of Remote Sensing (2018) Vol. 52, Iss. sup1, pp. 62-78
Open Access | Times Cited: 12
Can leaf area index and biomass be estimated from Braun‐Blanquet cover scores in tropical forests?
Timm F. Döbert, Bruce L. Webber, John B. Sugau, et al.
Journal of Vegetation Science (2015) Vol. 26, Iss. 6, pp. 1043-1053
Closed Access | Times Cited: 11
Fire and Smoke Remote Sensing and Modeling Uncertainties
Charles Ichoku, Luke Ellison, Yun Yue, et al.
Geophysical monograph (2016), pp. 215-230
Closed Access | Times Cited: 11
Feasibility of using Ku-band helicopter-borne microwave radar for stem volume and biomass estimation in boreal forest
Ziyi Feng, Xiaowei Yu, Yuwei Chen, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 131, pp. 103966-103966
Open Access | Times Cited: 1
Potential environmental implications of sandbar afforestation: Insights from ecosystem restoration initiatives in a sandbar of Brahmaputra River Assam, India
Mrinalini Goswami, Satya Prakash, Sunil Nautiyal, et al.
Land Use Policy (2024) Vol. 147, pp. 107354-107354
Closed Access | Times Cited: 1
Classification of Tropical Forest Tree Species Using Meter-Scale Image Data
Matthew D. Cross, T. A. Scambos, Fabio Pacifici, et al.
Remote Sensing (2019) Vol. 11, Iss. 12, pp. 1411-1411
Open Access | Times Cited: 10
Mapping Forest Degradation and Contributing Factors in a Tropical Dry Forest
Diana Laura Jiménez-Rodríguez, Yan Gao, Jonathan V. Solórzano, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 6
Recent literature in cartography and geographic information science
Michael P. Finn, Diana Thunen
Cartography and Geographic Information Science (2013) Vol. 40, Iss. 4, pp. 363-381
Closed Access | Times Cited: 7
Using Google Earth Surface Metrics to Predict Plant Species Richness in a Complex Landscape
Sebastián Block, Edgar J. González, J. Alberto Gallardo-Cruz, et al.
Remote Sensing (2016) Vol. 8, Iss. 10, pp. 865-865
Open Access | Times Cited: 7
Uncertainty Analysis of Remote Sensing Pretreatment for Biomass Estimation on Landsat OLI and Landsat ETM+
Qi Zhang, Lihua Xu, Maozhen Zhang, et al.
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 1, pp. 48-48
Open Access | Times Cited: 7
Effects of Forest Canopy Structure on Forest Aboveground Biomass Estimation Using Landsat Imagery
Chao Li, Mingyang Li, Kotaro Iizuka, et al.
IEEE Access (2020) Vol. 9, pp. 5285-5295
Open Access | Times Cited: 7
Estimating Aboveground Forest Biomass Using Radar Methods
Igor A. Babiy, Sergei T. Im, Viacheslav I. Kharuk
Contemporary Problems of Ecology (2022) Vol. 15, Iss. 5, pp. 433-448
Closed Access | Times Cited: 5
Space evidence of enhanced photosynthetic carbon uptake under fragmented temperate forests
Jiawei Li, Jun Ma, Jingxian Xu, et al.
Environmental Research Letters (2022) Vol. 17, Iss. 4, pp. 044011-044011
Open Access | Times Cited: 4

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