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:

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

Showing 26-50 of 79 citing articles:

Predicting forest above-ground biomass using SAR imagery and GEDI data through machine learning in GEE cloud
Chiranjit Singha, Kishore Chandra Swain, Satiprasad Sahoo, et al.
Forest Science and Technology (2025), pp. 1-20
Open Access

Above ground biomass carbon assessment using field, satellite data and model based integrated approach to predict the carbon sequestration potential of major land use sector of Arunachal Himalaya, India
Biswajit Das, Reetashree Bordoloi, Sangeeta Deka, et al.
Carbon Management (2021) Vol. 12, Iss. 2, pp. 201-214
Closed Access | Times Cited: 21

Comparison of multi-source remote sensing data for estimating and mapping above-ground biomass in the West Usambara tropical montane forests
Sami D. Madundo, Ernest William Mauya, Charles Joseph Kilawe
Scientific African (2023) Vol. 21, pp. e01763-e01763
Open Access | Times Cited: 9

Climate Interprets Saturation Value Variations Better Than Soil and Topography in Estimating Oak Forest Aboveground Biomass Using Landsat 8 OLI Imagery
Yong Wu, Guanglong Ou, Tian‐Bao Huang, et al.
Remote Sensing (2024) Vol. 16, Iss. 8, pp. 1338-1338
Open Access | Times Cited: 3

Quantifying Mangrove aboveground biomass changes: Analysis of conservation impact in blue forests projects using sentinel-2 satellite imagery
Raheleh Farzanmanesh, Kourosh Khoshelham, Liubov Volkova, et al.
Forest Ecology and Management (2024) Vol. 561, pp. 121920-121920
Open Access | Times Cited: 3

Toward a More Robust Estimation of Forest Biomass Carbon Stock and Carbon Sink in Mountainous Region: A Case Study in Tibet, China
Guanting Lyu, Xiaoyi Wang, Xieqin Huang, et al.
Remote Sensing (2024) Vol. 16, Iss. 9, pp. 1481-1481
Open Access | Times Cited: 3

Estimating Above-Ground Biomass from Land Surface Temperature and Evapotranspiration Data at the Temperate Forests of Durango, Mexico
Marcela Rosas-Chavoya, Pablito Marcelo López-Serrano, Daniel José Vega-Nieva, et al.
Forests (2023) Vol. 14, Iss. 2, pp. 299-299
Open Access | Times Cited: 8

Forest Aboveground Biomass Prediction by Integrating Terrestrial Laser Scanning Data, Landsat 8 OLI-Derived Forest Canopy Density and Spectral Indices
Shes Kanta Bhandari, Subrata Nandy
Journal of the Indian Society of Remote Sensing (2023) Vol. 52, Iss. 4, pp. 813-824
Closed Access | Times Cited: 7

Above-ground biomass estimation models of mangrove forests based on remote sensing and field-surveyed data: Implications for C-PFES implementation in Quang Ninh Province, Vietnam
Nguyen Hai Hoa, Thị Thu Hien Nguyen
Regional Studies in Marine Science (2021) Vol. 48, pp. 101985-101985
Closed Access | Times Cited: 15

One of the world’s largest regreening programs promotes healthy tree growth and nutrient accumulation up to 40-years post restoration
Patrick A. Levasseur, Jessica Galarza, Shaun A. Watmough
Forest Ecology and Management (2022) Vol. 507, pp. 120014-120014
Closed Access | Times Cited: 11

Enhancing Aboveground Biomass Estimation for Three Pinus Forests in Yunnan, SW China, Using Landsat 8
Jing Tang, Ying Liu, Lu Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4589-4589
Open Access | Times Cited: 11

Ormancılıkta makine öğrenmesi kullanımı
Remzi Eker, Kamber Can Alkiş, Zennure Uçar, et al.
Turkish Journal of Forestry | Türkiye Ormancılık Dergisi (2023), pp. 150-177
Open Access | Times Cited: 6

Construction of Remote Sensing Quantitative Model for Biomass of Deciduous Broad-Leaved Forest in Mazongling Nature Reserve Based on Machine Learning
Xuehai Tang, Dagui Yu, Haiyan Lv, et al.
Journal of the Indian Society of Remote Sensing (2024) Vol. 52, Iss. 9, pp. 1953-1968
Open Access | Times Cited: 2

Deep and machine learning prediction of forest above-ground biomass using multi-source remote sensing data in coniferous planted forests in Iran
Hassan Ali, J. Mohammadi, Shaban Shataee
European Journal of Forest Research (2024) Vol. 143, Iss. 6, pp. 1731-1745
Closed Access | Times Cited: 2

A Comparative Analysis of Remote Sensing Estimation of Aboveground Biomass in Boreal Forests Using Machine Learning Modeling and Environmental Data
Jie Song, Xuelu Liu, Samuel Adingo, et al.
Sustainability (2024) Vol. 16, Iss. 16, pp. 7232-7232
Open Access | Times Cited: 2

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

Spatial-temporal dynamics of mangrove extent in Quang Ninh Province over 33 years (1987–2020): Implications toward mangrove management in Vietnam
Nguyen Hai Hoa, Cuong Trong Nguyen, Vo Dai Nguyen
Regional Studies in Marine Science (2022) Vol. 52, pp. 102212-102212
Closed Access | Times Cited: 9

Biomass Spatial Pattern and Driving Factors of Different Vegetation Types of Public Welfare Forests in Hunan Province
Huiting Liu, Yue Fu, Jun Pan, et al.
Forests (2023) Vol. 14, Iss. 5, pp. 1061-1061
Open Access | Times Cited: 5

Comparing harmonic regression and GLAD Phenology metrics for estimation of forest community types and aboveground live biomass within forest inventory and analysis plots
Aaron E. Maxwell, Barry T. Wilson, Justin Holgerson, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 122, pp. 103435-103435
Open Access | Times Cited: 5

Quantitative remote sensing of forest ecosystem services in sub-Saharan Africa’s urban landscapes: a review
Mthembeni Mngadi, John Odindi, Onisimo Mutanga, et al.
Environmental Monitoring and Assessment (2022) Vol. 194, Iss. 4
Closed Access | Times Cited: 8

Predicting downed woody material carbon stocks in forests of the conterminous United States
James E. Smith, Grant M. Domke, Christopher W. Woodall
The Science of The Total Environment (2021) Vol. 803, pp. 150061-150061
Closed Access | Times Cited: 10

Identification of Urban Green Space Types and Estimation of Above-Ground Biomass Using Sentinel-1 and Sentinel-2 Data
Jue Xiao, Longqian Chen, Ting Zhang, et al.
Forests (2022) Vol. 13, Iss. 7, pp. 1077-1077
Open Access | Times Cited: 7

Prediction of forest aboveground biomass using an integrated approach of space-based parameters, and forest inventory data
Biswajit Das, Santanu Kumar Patnaik, Reetashree Bordoloi, et al.
Geology Ecology and Landscapes (2022) Vol. 8, Iss. 3, pp. 381-393
Open Access | Times Cited: 7

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