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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 1-25 of 76 citing articles:

Developments in Landsat Land Cover Classification Methods: A Review
Darius Phiri, Justin Morgenroth
Remote Sensing (2017) Vol. 9, Iss. 9, pp. 967-967
Open Access | Times Cited: 407
Mapping Tree Canopy Cover and Aboveground Biomass in Sudano-Sahelian Woodlands Using Landsat 8 and Random Forest
Martin Karlson, Madelene Ostwald, Heather Reese, et al.
Remote Sensing (2015) Vol. 7, Iss. 8, pp. 10017-10041
Open Access | Times Cited: 267
Examining Spectral Reflectance Saturation in Landsat Imagery and Corresponding Solutions to Improve Forest Aboveground Biomass Estimation
Panpan Zhao, Dengsheng Lu, Guangxing Wang, et al.
Remote Sensing (2016) Vol. 8, Iss. 6, pp. 469-469
Open Access | Times Cited: 211
Review on carbon storage estimation of forest ecosystem and applications in China
Wanlong Sun, Xuehua Liu
Forest Ecosystems (2019) Vol. 7, Iss. 1
Open Access | Times Cited: 148
Investigating the robustness of the new Landsat-8 Operational Land Imager derived texture metrics in estimating plantation forest aboveground biomass in resource constrained areas
Timothy Dube, Onisimo Mutanga
ISPRS Journal of Photogrammetry and Remote Sensing (2015) Vol. 108, pp. 12-32
Closed Access | Times Cited: 146
Modeling of Aboveground Biomass with Landsat 8 OLI and Machine Learning in Temperate Forests
Pablito Marcelo López-Serrano, José Luis Cárdenas Domínguez, José Javier Corral‐Rivas, et al.
Forests (2019) Vol. 11, Iss. 1, pp. 11-11
Open Access | Times Cited: 79
Estimation of above ground biomass in tropical heterogeneous forests in India using GEDI
Indu Indirabai, Mats Nilsson
Ecological Informatics (2024) Vol. 82, pp. 102712-102712
Open Access | Times Cited: 12
Aboveground biomass retrieval of wetland vegetation at the species level using UAV hyperspectral imagery and machine learning
Wei Zhuo, Wu Nan, Runhe Shi, et al.
Ecological Indicators (2024) Vol. 166, pp. 112365-112365
Open Access | Times Cited: 10
Carbon sinks and tropical forest biomass estimation: a review on role of remote sensing in aboveground-biomass modelling
Nurul Ain Mohd Zaki, Zulkiflee Abd Latif
Geocarto International (2016) Vol. 32, Iss. 7, pp. 701-716
Closed Access | Times Cited: 74
Estimation of aboveground net primary productivity in secondary tropical dry forests using the Carnegie–Ames–Stanford approach (CASA) model
Sen Cao, Arturo Sánchez‐Azofeifa, Sandra M. Durán, et al.
Environmental Research Letters (2016) Vol. 11, Iss. 7, pp. 075004-075004
Open Access | Times Cited: 59
Analysis of different polarimetric target decomposition methods in forest density classification using C band SAR data
A. O. Varghese, Arun Suryavanshi, Asokh Kumar Joshi
International Journal of Remote Sensing (2016) Vol. 37, Iss. 3, pp. 694-709
Closed Access | Times Cited: 48
Quantification of carbon sequestration by urban forest using Landsat 8 OLI and machine learning algorithms in Jodhpur, India
Swati Uniyal, Saurabh Purohit, Kuldeep Chaurasia, et al.
Urban forestry & urban greening (2021) Vol. 67, pp. 127445-127445
Closed Access | Times Cited: 41
Forest Aboveground Biomass Estimation and Mapping through High-Resolution Optical Satellite Imagery—A Literature Review
Adeel Ahmad, Hammad Gilani, Sajid Rashid Ahmad
Forests (2021) Vol. 12, Iss. 7, pp. 914-914
Open Access | Times Cited: 36
Satellite Observations of the Tropical Terrestrial Carbon Balance and Interactions With the Water Cycle During the 21st Century
John R. Worden, Sassan Saatchi, Michael Keller, et al.
Reviews of Geophysics (2021) Vol. 59, Iss. 1
Open Access | Times Cited: 34
Estimation of Forest Aboveground Biomass of Two Major Conifers in Ibaraki Prefecture, Japan, from PALSAR-2 and Sentinel-2 Data
Hantao Li, Tomomichi Kato, Masato Hayashi, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 468-468
Open Access | Times Cited: 28
Remote sensing for monitoring tropical dryland forests: a review of current research, knowledge gaps and future directions for Southern Africa
Ruusa Magano David, Nick Rosser, Daniel N.M. Donoghue
Environmental Research Communications (2022) Vol. 4, Iss. 4, pp. 042001-042001
Open Access | Times Cited: 27
Synergistic use of Landsat 8 OLI image and airborne LiDAR data for above-ground biomass estimation in tropical lowland rainforests
Mui‐How Phua, Shazrul Azwan Johari, Ong Cieh Wong, et al.
Forest Ecology and Management (2017) Vol. 406, pp. 163-171
Open Access | Times Cited: 36
Four decades of land cover and forest connectivity study in Zambia—An object-based image analysis approach
Darius Phiri, Justin Morgenroth, Cong Xu
International Journal of Applied Earth Observation and Geoinformation (2019) Vol. 79, pp. 97-109
Closed Access | Times Cited: 33
Aboveground Biomass Estimation in Tropical Forests: Insights from SAR Data—A Systematic Review
Anjitha A. Sulabha, Smitha V. Asok, C. Sudhakar Reddy, et al.
Journal of the Indian Society of Remote Sensing (2025)
Closed Access
Forest aboveground biomass retrieval integrating ICESat-2, Landsat-8, and environmental factors
Shiping Ma, Jisheng Xia, Chun Wang, et al.
Ecological Informatics (2025), pp. 103194-103194
Open Access
Reducing Uncertainty in Mapping of Mangrove Aboveground Biomass Using Airborne Discrete Return Lidar Data
Francisca Rocha de Souza Pereira, Milton Kampel, Mário Luiz Gomes Soares, et al.
Remote Sensing (2018) Vol. 10, Iss. 4, pp. 637-637
Open Access | Times Cited: 32
Exploring the Potential of GEDI in Characterizing Tree Height Composition based on Advanced Radiative Transfer Model Simulations
Shen Tan, Yao Zhang, Jianbo Qi, et al.
Journal of Remote Sensing (2024) Vol. 4
Open Access | Times Cited: 3
Estimating Aboveground Biomass of Boreal Forests in Northern China Using Multiple Data sets
Jianuo Li, Wurigula Bao, Xuemei Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-10
Closed Access | Times Cited: 3
Assessing the potential applications of Landsat image archive in the ecological monitoring and management of a production mangrove forest in Malaysia
Ammar Abdul Aziz, Stuart Phinn, Paul Dargusch, et al.
Wetlands Ecology and Management (2015) Vol. 23, Iss. 6, pp. 1049-1066
Closed Access | Times Cited: 25
Forest Inventory and Aboveground Biomass Estimation with Terrestrial LiDAR in the Tropical Forest of Malaysia
Solomon Mulat, Y.A. Hussin, H. Kloosterman, et al.
Canadian Journal of Remote Sensing (2020) Vol. 46, Iss. 2, pp. 130-145
Open Access | Times Cited: 22
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