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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:

Canopy Height Estimation Using Sentinel Series Images through Machine Learning Models in a Mangrove Forest
Sujit Madhab Ghosh, Mukunda Dev Behera, Somnath Paramanik
Remote Sensing (2020) Vol. 12, Iss. 9, pp. 1519-1519
Open Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

Mapping Forest Height and Aboveground Biomass by Integrating ICESat‐2, Sentinel‐1 and Sentinel‐2 Data Using Random Forest Algorithm in Northwest Himalayan Foothills of India
Subrata Nandy, Ritika Srinet, Hitendra Padalia
Geophysical Research Letters (2021) Vol. 48, Iss. 14
Closed Access | Times Cited: 123
Improving National Forest Mapping in Romania Using Machine Learning and Sentinel-2 Multispectral Imagery
Mohamed Islam Keskes, Aya Hamed Mohamed, Stelian Alexandru Borz, et al.
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 715-715
Open Access | Times Cited: 2
A review of carbon monitoring in wet carbon systems using remote sensing
Anthony Campbell, Temilola Fatoyinbo, Sean P. Charles, et al.
Environmental Research Letters (2022) Vol. 17, Iss. 2, pp. 025009-025009
Open Access | Times Cited: 57
Explainable AI for earth observation: A review including societal and regulatory perspectives
Caroline Gevaert
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102869-102869
Open Access | Times Cited: 51
Forest Canopy Height Mapping by Synergizing ICESat-2, Sentinel-1, Sentinel-2 and Topographic Information Based on Machine Learning Methods
Zhilong Xi, Huadong Xu, Yanqiu Xing, et al.
Remote Sensing (2022) Vol. 14, Iss. 2, pp. 364-364
Open Access | Times Cited: 45
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: 31
Species-Level Classification and Mapping of a Mangrove Forest Using Random Forest—Utilisation of AVIRIS-NG and Sentinel Data
Mukunda Dev Behera, Surbhi Barnwal, Somnath Paramanik, et al.
Remote Sensing (2021) Vol. 13, Iss. 11, pp. 2027-2027
Open Access | Times Cited: 51
A novel approach for estimation of aboveground biomass of a carbon-rich mangrove site in India
Sujit Madhab Ghosh, Mukunda Dev Behera, Buddola Jagadish, et al.
Journal of Environmental Management (2021) Vol. 292, pp. 112816-112816
Closed Access | Times Cited: 44
Aboveground biomass estimates of tropical mangrove forest using Sentinel-1 SAR coherence data - The superiority of deep learning over a semi-empirical model
Sujit Madhab Ghosh, Mukunda Dev Behera
Computers & Geosciences (2021) Vol. 150, pp. 104737-104737
Closed Access | Times Cited: 43
A new synergistic approach for Sentinel-1 and PALSAR-2 in a machine learning framework to predict aboveground biomass of a dense mangrove forest
A. Jaya Prakash, Mukunda Dev Behera, Sujit Madhab Ghosh, et al.
Ecological Informatics (2022) Vol. 72, pp. 101900-101900
Closed Access | Times Cited: 35
UAV-based remote sensing using visible and multispectral indices for the estimation of vegetation cover in an oasis of a desert
Ning Wang, Yuchuan Guo, Xuan Wei, et al.
Ecological Indicators (2022) Vol. 141, pp. 109155-109155
Open Access | Times Cited: 33
Estimation of the Canopy Height Model From Multispectral Satellite Imagery With Convolutional Neural Networks
Svetlana Illarionova, Dmitrii Shadrin, Vladimir Ignatiev, et al.
IEEE Access (2022) Vol. 10, pp. 34116-34132
Open Access | Times Cited: 27
Mapping of Temporally Dynamic Tropical Forest and Plantations Canopy Height in Borneo Utilizing TanDEM-X InSAR and Multi-sensor Remote Sensing Data
Stanley Anak Suab, Hitesh Supe, Albertus S. Louw, et al.
Journal of the Indian Society of Remote Sensing (2024)
Closed Access | Times Cited: 4
Generating Wall-to-Wall Canopy Height Information from Discrete Data Provided by Spaceborne LiDAR System
Nova D. Doyog, Chinsu Lin
Forests (2024) Vol. 15, Iss. 3, pp. 482-482
Open Access | Times Cited: 4
A high-quality global elevation control point dataset from ICESat-2 altimeter data
Binbin Li, Huan Xie, Shijie Liu, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 4
Mapping and modeling mangrove biophysical and biochemical parameters using Sentinel-2A satellite data in Bhitarkanika National Park, Odisha
Bikash Ranjan Parida, Anshu Kumari
Modeling Earth Systems and Environment (2020) Vol. 7, Iss. 4, pp. 2463-2474
Closed Access | Times Cited: 28
Canopy Height Mapping by Sentinel 1 and 2 Satellite Images, Airborne LiDAR Data, and Machine Learning
Catherine Torres de Almeida, Jéssica Gerente, Jamerson Rodrigo dos Prazeres Campos, et al.
Remote Sensing (2022) Vol. 14, Iss. 16, pp. 4112-4112
Open Access | Times Cited: 19
Predicting the Forest Canopy Height from LiDAR and Multi-Sensor Data Using Machine Learning over India
Sujit Madhab Ghosh, Mukunda Dev Behera, Shubham Kumar, et al.
Remote Sensing (2022) Vol. 14, Iss. 23, pp. 5968-5968
Open Access | Times Cited: 17
Evaluation of Selected Digital Elevation Models over a Tropical Rainforest: A Case Study at Brunei Darussalam’s Tropical Rainforest
Elaheh Zadbagher, Kazimierz Bęcek, Aycan Murat Marangoz, et al.
Journal of the Indian Society of Remote Sensing (2025)
Closed Access
Earth observation for monitoring of shifting cultivation
Pulakesh Das, Mukunda Dev Behera, Saroj Kanta Barik, et al.
Elsevier eBooks (2025), pp. 201-216
Closed Access
Leaf Chlorophyll Concentration Estimation Using Absorption Spectroscopy of AVIRIS-NG for a Mangrove Forest in India
Somnath Paramanik, Mukunda Dev Behera, Nikhil Raj Deep, et al.
PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science (2025)
Closed Access
Shrub height and crown projection area are effective predictors in aboveground biomass models for multi-stemmed European hazel
Jozef Pajtík, Bohdan Konôpka, Ivan Barka, et al.
Forest Ecosystems (2025), pp. 100316-100316
Open Access
Monitoring Canopy Height in the Hainan Tropical Rainforest Using Machine Learning and Multi-Modal Data Fusion
Qingping Ling, Y. S. Chen, Zhongke Feng, et al.
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 966-966
Open Access
Semantically aware tree height estimator for infrastructure monitoring using multimodal satellite images
Meruyert Kenzhebay, Abdul Hanan, Mehak Khan, et al.
European Journal of Remote Sensing (2025) Vol. 58, Iss. 1
Open Access
Synergistic estimation of mangrove canopy height across coastal China: Integrating SDGSAT-1 multispectral data with Sentinel-1/2 time-series imagery
Mingming Jia, Rong Zhang, Chuanpeng Zhao, et al.
Remote Sensing of Environment (2025) Vol. 323, pp. 114719-114719
Closed Access
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