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:

Mapping the Global Mangrove Forest Aboveground Biomass Using Multisource Remote Sensing Data
Tianyu Hu, Yingying Zhang, Yanjun Su, et al.
Remote Sensing (2020) Vol. 12, Iss. 10, pp. 1690-1690
Open Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

Estimation of Above-Ground Biomass of Winter Wheat Based on Consumer-Grade Multi-Spectral UAV
Falv Wang, Mao Yang, Longfei Ma, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1251-1251
Open Access | Times Cited: 57

Global Mangrove Deforestation and Its Interacting Social-Ecological Drivers: A Systematic Review and Synthesis
Avit Kumar Bhowmik, Rajchandar Padmanaban, Pedro Cabral, et al.
Sustainability (2022) Vol. 14, Iss. 8, pp. 4433-4433
Open Access | Times Cited: 52

Spatial patterns and driving factors of carbon stocks in mangrove forests on Hainan Island, China
Yuchen Meng, Ruikun Gou, Jiankun Bai, et al.
Global Ecology and Biogeography (2022) Vol. 31, Iss. 9, pp. 1692-1706
Closed Access | Times Cited: 50

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

Hybrid model for estimating forest canopy heights using fused multimodal spaceborne LiDAR data and optical imagery
Shufan Wang, Chun Liu, Weiyue Li, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 122, pp. 103431-103431
Open Access | Times Cited: 26

Global conservation priorities for wetlands and setting post-2025 targets
Yi Qu, Gong Huixin, Yaomin Zheng, et al.
Communications Earth & Environment (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 10

Mangrove mapping and monitoring using remote sensing techniques towards climate change resilience
Reshma Sunkur, Komali Kantamaneni, Chandradeo Bokhoree, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10

Remote sensing-based mangrove blue carbon assessment in the Asia-Pacific: A systematic review
Abhilash Dutta Roy, Pavithra S. Pitumpe Arachchige, Michael S. Watt, et al.
The Science of The Total Environment (2024) Vol. 938, pp. 173270-173270
Closed Access | Times Cited: 8

Knowledge Assisted Differential Evolution Extreme Gradient Boost algorithm for estimating mangrove aboveground biomass
Yang Shen, Zuowen Liao, Yichao Tian, et al.
Applied Soft Computing (2025), pp. 112838-112838
Closed Access | Times Cited: 1

Relationships between above- and below-ground carbon stocks in mangrove forests facilitate better estimation of total mangrove blue carbon
Yuchen Meng, Jiankun Bai, Ruikun Gou, et al.
Carbon Balance and Management (2021) Vol. 16, Iss. 1
Open Access | Times Cited: 46

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

Modeling forest above-ground biomass using freely available satellite and multisource datasets
Ai Hojo, Ram Avtar, Tatsuro Nakaji, et al.
Ecological Informatics (2023) Vol. 74, pp. 101973-101973
Closed Access | Times Cited: 19

Application of Artificial Neural Networks for Mangrove Mapping Using Multi-Temporal and Multi-Source Remote Sensing Imagery
Arsalan Ghorbanian, Seyed Ali Ahmadi, Meisam Amani, et al.
Water (2022) Vol. 14, Iss. 2, pp. 244-244
Open Access | Times Cited: 26

Machine learning prediction of above-ground biomass in pure Calabrian pine (Pinus brutia Ten.) stands of the Mediterranean region, Türkiye
Sinan Bulut
Ecological Informatics (2022) Vol. 74, pp. 101951-101951
Closed Access | Times Cited: 25

Enhancement effects of mangrove restoration on blue carbon storage in Qinzhou Bay
Wentao Song, Yukun Hou, Wenjuan Zhu, et al.
Frontiers in Forests and Global Change (2024) Vol. 7
Open Access | Times Cited: 5

Mangrove Forest Landcover Changes in Coastal Vietnam: A Case Study from 1973 to 2020 in Thanh Hoa and Nghe An Provinces
Huong Thi Thuy Nguyen, G.E.St.J. Hardy, Tuat Van Le, et al.
Forests (2021) Vol. 12, Iss. 5, pp. 637-637
Open Access | Times Cited: 27

Above-Ground Biomass Estimation for Coniferous Forests in Northern China Using Regression Kriging and Landsat 9 Images
Fugen Jiang, Hua Sun, Erxue Chen, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5734-5734
Open Access | Times Cited: 21

Global impacts of projected climate changes on the extent and aboveground biomass of mangrove forests
Lidiane Gouvêa, Ester Á. Serrão, Kyle C. Cavanaugh, et al.
Diversity and Distributions (2022) Vol. 28, Iss. 11, pp. 2349-2360
Open Access | Times Cited: 20

A multi-source data approach to carbon stock prediction using Bayesian hierarchical geostatistical models in plantation forest ecosystems
Tsikai Solomon Chinembiri, Onisimo Mutanga, Timothy Dube
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 4

Advances in Laser Scanning to Assess Carbon in Forests: From Ground-Based to Space-Based Sensors
Nicholas C. Coops, Liam Irwin, Harry Seely, et al.
Current Forestry Reports (2025) Vol. 11, Iss. 1
Closed Access

Estimation of Forest Aboveground Biomass in North China Based on Landsat Data and Stand Features
Cheng Song, Zechen Li, Yingcheng Dai, et al.
Forests (2025) Vol. 16, Iss. 3, pp. 384-384
Open Access

Evaluating the effectiveness of the Ecological Redline Policy in conserving mangroves via assessment on coverage and carbon storage
Jin Liang, Yisheng Peng, Hanxi Chen, et al.
Environmental and Sustainability Indicators (2025), pp. 100650-100650
Open Access

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