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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:

A Review of Remote Sensing Approaches for Monitoring Blue Carbon Ecosystems: Mangroves, Seagrassesand Salt Marshes during 2010–2018
Tien Dat Pham, Junshi Xia, Nam Thang Ha, et al.
Sensors (2019) Vol. 19, Iss. 8, pp. 1933-1933
Open Access | Times Cited: 134

Showing 1-25 of 134 citing articles:

The future of Blue Carbon science
Peter I. Macreadie, Andrea Antón, John A. Raven, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 756
Enhancing flood risk assessment through integration of ensemble learning approaches and physical-based hydrological modeling
Mohamed Saber, Tayeb Boulmaiz, Mawloud Guermoui, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 50
Toward a better understanding of coastal salt marsh mapping: A case from China using dual-temporal images
Chuanpeng Zhao, Mingming Jia, Zongming Wang, et al.
Remote Sensing of Environment (2023) Vol. 295, pp. 113664-113664
Closed Access | Times Cited: 42
Contribution of Remote Sensing Technologies to a Holistic Coastal and Marine Environmental Management Framework: A Review
Badr El Mahrad, Alice Newton, John Icely, et al.
Remote Sensing (2020) Vol. 12, Iss. 14, pp. 2313-2313
Open Access | Times Cited: 123
Comparison of Machine Learning Methods for Estimating Mangrove Above-Ground Biomass Using Multiple Source Remote Sensing Data in the Red River Delta Biosphere Reserve, Vietnam
Tien Dat Pham, Naoto Yokoya, Junshi Xia, et al.
Remote Sensing (2020) Vol. 12, Iss. 8, pp. 1334-1334
Open Access | Times Cited: 110
Opportunities for seagrass research derived from remote sensing: A review of current methods
Bijeesh Kozhikkodan Veettil, Raymond D. Ward, Mariana do Amaral Camara Lima, et al.
Ecological Indicators (2020) Vol. 117, pp. 106560-106560
Open Access | Times Cited: 98
A Comparative Assessment of Ensemble-Based Machine Learning and Maximum Likelihood Methods for Mapping Seagrass Using Sentinel-2 Imagery in Tauranga Harbor, New Zealand
Nam Thang Ha, Merilyn Manley‐Harris, Tien Dat Pham, et al.
Remote Sensing (2020) Vol. 12, Iss. 3, pp. 355-355
Open Access | Times Cited: 95
Current Status and Potential Assessment of China’s Ocean Carbon Sinks
Chang Liu, Gengyuan Liu, Marco Casazza, et al.
Environmental Science & Technology (2022) Vol. 56, Iss. 10, pp. 6584-6595
Closed Access | Times Cited: 61
Advances in Earth observation and machine learning for quantifying blue carbon
Tien Dat Pham, Nam Thang Ha, Neil Saintilan, et al.
Earth-Science Reviews (2023) Vol. 243, pp. 104501-104501
Open Access | Times Cited: 36
Ocean carbon from space: Current status and priorities for the next decade
Robert J. W. Brewin, Shubha Sathyendranath, Gemma Kulk, et al.
Earth-Science Reviews (2023) Vol. 240, pp. 104386-104386
Open Access | Times Cited: 35
Remote sensing for cost-effective blue carbon accounting
Martino E. Malerba, Micheli Duarte de Paula Costa, Daniel A. Friess, et al.
Earth-Science Reviews (2023) Vol. 238, pp. 104337-104337
Open Access | Times Cited: 30
Mapping Vegetation Changes in Mongolian Grasslands (1990–2024) Using Landsat Data and Advanced Machine Learning Algorithm
Mandakh Nyamtseren, Tien Dat Pham, Thuy Thi Phuong Vu, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 400-400
Open Access | Times Cited: 1
Spatiotemporal simulation of blue-green space pattern evolution and carbon storage under different SSP-RCP scenarios in Wuhan
Guiyuan Li, Wang-Zhen Wang, Bowen Li, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
A New Hybrid Firefly–PSO Optimized Random Subspace Tree Intelligence for Torrential Rainfall-Induced Flash Flood Susceptible Mapping
Viet‐Ha Nhu, Phuong Thao Thi Ngo, Tien Dat Pham, et al.
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2688-2688
Open Access | Times Cited: 66
Spatiotemporal Mapping and Monitoring of Mangrove Forests Changes From 1990 to 2019 in the Northern Emirates, UAE Using Random Forest, Kernel Logistic Regression and Naive Bayes Tree Models
Samy Ismail Elmahdy, Tarig Ali, Mohamed Mostafa Mohamed, et al.
Frontiers in Environmental Science (2020) Vol. 8
Open Access | Times Cited: 63
Ultra-High-Resolution Mapping of Posidonia oceanica (L.) Delile Meadows through Acoustic, Optical Data and Object-based Image Classification
Sante Francesco Rende, Alessandro Bosman, Rossella Di Mento, et al.
Journal of Marine Science and Engineering (2020) Vol. 8, Iss. 9, pp. 647-647
Open Access | Times Cited: 56
A Fine-Scale Mangrove Map of China Derived from 2-Meter Resolution Satellite Observations and Field Data
Tao Zhang, Shanshan Hu, Yun He, et al.
ISPRS International Journal of Geo-Information (2021) Vol. 10, Iss. 2, pp. 92-92
Open Access | Times Cited: 46
A systematic overview, trends and global perspectives on blue carbon: A bibliometric study (2003–2021)
C.F. ZHONG, Tangcheng Li, Ran Bi, et al.
Ecological Indicators (2023) Vol. 148, pp. 110063-110063
Open Access | Times Cited: 20
Mapping Mangrove Above-Ground Carbon Using Multi-Source Remote Sensing Data and Machine Learning Approach in Loh Buaya, Komodo National Park, Indonesia
Seftiawan Samsu Rijal, Tien Dat Pham, Salma Noer’Aulia, et al.
Forests (2023) Vol. 14, Iss. 1, pp. 94-94
Open Access | Times Cited: 19
Seagrasses on the move: Tracing the multi-decadal species distribution trends in lagoon meadows using Landsat imagery
Paolo Cingano, Marco Vuerich, Francesco Petruzzellis, et al.
Ecological Informatics (2024) Vol. 82, pp. 102685-102685
Open Access | Times Cited: 7
A New Modeling Approach for Spatial Prediction of Flash Flood with Biogeography Optimized CHAID Tree Ensemble and Remote Sensing Data
Viet-Nghia Nguyen, Peyman Yariyan, Mahdis Amiri, et al.
Remote Sensing (2020) Vol. 12, Iss. 9, pp. 1373-1373
Open Access | Times Cited: 46
Remote Sensing to Study Mangrove Fragmentation and Its Impacts on Leaf Area Index and Gross Primary Productivity in the South of Peninsular Malaysia
Kasturi Devi Kanniah, Chuen Siang Kang, Sahadev Sharma, et al.
Remote Sensing (2021) Vol. 13, Iss. 8, pp. 1427-1427
Open Access | Times Cited: 39
The use of radar and optical satellite imagery combined with advanced machine learning and metaheuristic optimization techniques to detect and quantify above ground biomass of intertidal seagrass in a New Zealand estuary
Nam Thang Ha, Merilyn Manley‐Harris, Tien Dat Pham, et al.
International Journal of Remote Sensing (2021) Vol. 42, Iss. 12, pp. 4712-4738
Closed Access | Times Cited: 35
Linking vegetation spectral reflectance with ecosystem carbon phenology in a temperate salt marsh
Andrew C. Hill, Alma Vázquez‐Lule, Rodrigo Vargas
Agricultural and Forest Meteorology (2021) Vol. 307, pp. 108481-108481
Closed Access | Times Cited: 34
Exploring open-source multispectral satellite remote sensing as a tool to map long-term evolution of salt marsh shorelines
Tegan Blount, A. Rita Carrasco, Sónia Cristina, et al.
Estuarine Coastal and Shelf Science (2021) Vol. 266, pp. 107664-107664
Open Access | Times Cited: 34
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