Satoshi Tsuyuki

1.4k total citations
72 papers, 1.0k citations indexed

About

Satoshi Tsuyuki is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Satoshi Tsuyuki has authored 72 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Ecology, 36 papers in Environmental Engineering and 30 papers in Global and Planetary Change. Recurrent topics in Satoshi Tsuyuki's work include Remote Sensing and LiDAR Applications (35 papers), Remote Sensing in Agriculture (33 papers) and Forest ecology and management (14 papers). Satoshi Tsuyuki is often cited by papers focused on Remote Sensing and LiDAR Applications (35 papers), Remote Sensing in Agriculture (33 papers) and Forest ecology and management (14 papers). Satoshi Tsuyuki collaborates with scholars based in Japan, Malaysia and Indonesia. Satoshi Tsuyuki's co-authors include Toshiaki Owari, Santa Pandit, Timothy Dube, Mui‐How Phua, Jungsoo Lee, Yasumasa Hirata, Keiko Ioki, Gen Takao, Katsuyuki Machii and Takuji Kawashima and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and Remote Sensing of Environment.

In The Last Decade

Satoshi Tsuyuki

65 papers receiving 964 citations

Peers

Satoshi Tsuyuki

ECOLO

GPC

NLC

Alberto Garcia-Martín Spain

Chinsu Lin Taiwan

Danilo Roberti Alves de Almeida Brazil

Andrea Cutini Italy

Wenyi Fan China

S. Thomas Purucker United States

Kenneth Clarke Australia

David W. MacFarlane United States

Douglas G. Goodin United States

Huaguo Huang China

Alberto Garcia-Martín Spain

Satoshi Tsuyuki

365 ×0.7

ECOLO

321 ×0.6

469 ×1.3

GPC

175 ×0.7

NLC

54 ×0.6

Citations per year, relative to Satoshi Tsuyuki Satoshi Tsuyuki (= 1×) peers Alberto Garcia-Martín

Countries citing papers authored by Satoshi Tsuyuki

Since Specialization

Citations

This map shows the geographic impact of Satoshi Tsuyuki's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Satoshi Tsuyuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Tsuyuki more than expected).

Fields of papers citing papers by Satoshi Tsuyuki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Satoshi Tsuyuki. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Satoshi Tsuyuki. The network helps show where Satoshi Tsuyuki may publish in the future.

Co-authorship network of co-authors of Satoshi Tsuyuki

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Tsuyuki. A scholar is included among the top collaborators of Satoshi Tsuyuki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Satoshi Tsuyuki. Satoshi Tsuyuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Owari, Toshiaki, et al.. (2025). Combined gated graph convolution neural networks with multi-modal geospatial data for forest type classification. International Journal of Applied Earth Observation and Geoinformation. 136. 104372–104372.

Owari, Toshiaki, et al.. (2025). Improving the Individual Tree Parameters Estimation of a Complex Mixed Conifer—Broadleaf Forest Using a Combination of Structural, Textural, and Spectral Metrics Derived from Unmanned Aerial Vehicle RGB and Multispectral Imagery. SHILAP Revista de lepidopterología. 5(1). 12–12. 1 indexed citations

Tsuyuki, Satoshi, et al.. (2025). Assessing above ground biomass of Wunbaik Mangrove Forest in Myanmar using machine learning and remote sensing data. SHILAP Revista de lepidopterología. 2(1).

Tsuyuki, Satoshi, et al.. (2024). Deforestation and Forest Degradation Detection in the Brazilian Amazon: A Comparative Analysis of Two Areas and Their Conservation Units. Applied Sciences. 14(22). 10504–10504. 1 indexed citations

Owari, Toshiaki, et al.. (2024). Improving the Estimation of Structural Parameters of a Mixed Conifer–Broadleaf Forest Using Structural, Textural, and Spectral Metrics Derived from Unmanned Aerial Vehicle Red Green Blue (RGB) Imagery. Remote Sensing. 16(10). 1783–1783. 2 indexed citations

Sato, Tamotsu, et al.. (2024). Application of Multi-Source Remote Sensing Data and Machine Learning for Surface Soil Moisture Mapping in Temperate Forests of Central Japan. Information. 15(8). 485–485. 6 indexed citations

Tsuyuki, Satoshi, et al.. (2024). Determinants of Tobacco Cultivation and the Associated Impacts of Adoption in Hurungwe District, Zimbabwe. Agricultural Sciences. 15(4). 505–531. 1 indexed citations

Owari, Toshiaki, et al.. (2024). Mapping the Distribution of High-Value Broadleaf Tree Crowns through Unmanned Aerial Vehicle Image Analysis Using Deep Learning. Algorithms. 17(2). 84–84. 6 indexed citations

Tsuyuki, Satoshi, et al.. (2023). Silvicultural decisions to formulate forest restoration strategies using geospatial approaches. IOP Conference Series Earth and Environmental Science. 1282(1). 12054–12054. 1 indexed citations

10.

Owari, Toshiaki, et al.. (2023). UAV Photogrammetry for Estimating Stand Parameters of an Old Japanese Larch Plantation Using Different Filtering Methods at Two Flight Altitudes. Sensors. 23(24). 9907–9907. 4 indexed citations

11.

Owari, Toshiaki, et al.. (2023). Application of a Novel Multiscale Global Graph Convolutional Neural Network to Improve the Accuracy of Forest Type Classification Using Aerial Photographs. Remote Sensing. 15(4). 1001–1001. 21 indexed citations

12.

Owari, Toshiaki, et al.. (2023). Identifying Spatial Variation of Carbon Stock in a Warm Temperate Forest in Central Japan Using Sentinel-2 and Digital Elevation Model Data. Remote Sensing. 15(8). 1997–1997. 6 indexed citations

13.

Tsuyuki, Satoshi, et al.. (2023). Improving Land Use and Land Cover Information of Wunbaik Mangrove Area in Myanmar Using U-Net Model with Multisource Remote Sensing Datasets. Remote Sensing. 16(1). 76–76. 11 indexed citations

14.

Owari, Toshiaki, et al.. (2023). Integration of Unmanned Aerial Vehicle Imagery and Machine Learning Technology to Map the Distribution of Conifer and Broadleaf Canopy Cover in Uneven-Aged Mixed Forests. Drones. 7(12). 705–705. 3 indexed citations

15.

Ioki, Keiko, et al.. (2022). Estimating aboveground biomass changes in a human-modified tropical montane forest of Borneo using multi-temporal airborne LiDAR data. Remote Sensing Applications Society and Environment. 28. 100821–100821. 6 indexed citations

16.

Tsuyuki, Satoshi, et al.. (2022). Identifying the Rates and Drivers of Spatiotemporal Patterns of Land Use and Land Cover Changes in the Hurungwe District, Zimbabwe: A GIS and Remote Sensing Approach. Journal of Geographic Information System. 14(6). 652–679. 3 indexed citations

17.

Owari, Toshiaki, et al.. (2019). Digital Aerial Photogrammetry for Uneven-Aged Forest Management: Assessing the Potential to Reconstruct Canopy Structure and Estimate Living Biomass. Remote Sensing. 11(3). 338–338. 36 indexed citations

18.

Owari, Toshiaki, et al.. (2019). Potential of UAV photogrammetry for characterization of forest canopy structure in uneven-aged mixed conifer–broadleaf forests. International Journal of Remote Sensing. 41(1). 53–73. 22 indexed citations

19.

Owari, Toshiaki, et al.. (2018). Evaluating the Performance of Photogrammetric Products Using Fixed-Wing UAV Imagery over a Mixed Conifer–Broadleaf Forest: Comparison with Airborne Laser Scanning. Remote Sensing. 10(2). 187–187. 89 indexed citations

20.

Phua, Mui‐How, et al.. (2014). Deforestation, forest degradation and readiness of local people of Lubuk Antu, Sarawak for REDD+.. Sains Malaysiana. 43(10). 1461–1470. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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