Takuya Hiroshima

556 total citations
52 papers, 397 citations indexed

About

Takuya Hiroshima is a scholar working on Environmental Engineering, Global and Planetary Change and Nature and Landscape Conservation. According to data from OpenAlex, Takuya Hiroshima has authored 52 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Environmental Engineering, 23 papers in Global and Planetary Change and 22 papers in Nature and Landscape Conservation. Recurrent topics in Takuya Hiroshima's work include Remote Sensing and LiDAR Applications (24 papers), Forest ecology and management (18 papers) and Remote Sensing in Agriculture (14 papers). Takuya Hiroshima is often cited by papers focused on Remote Sensing and LiDAR Applications (24 papers), Forest ecology and management (18 papers) and Remote Sensing in Agriculture (14 papers). Takuya Hiroshima collaborates with scholars based in Japan, United States and Sri Lanka. Takuya Hiroshima's co-authors include Toshiaki Owari, Toshio Kimura, Kazuhiko Tanaka, Naoyuki Furuya, Kyaw Thu Moe, Norihiko Shiraishi, Akio Kato, Barry Gardiner, K. Kamimura and Satoshi Tsuyuki and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Journal of the American Ceramic Society.

In The Last Decade

Takuya Hiroshima

44 papers receiving 389 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Takuya Hiroshima Japan	9	186	161	125	102	77	52	397
Qingwang Liu China	16	437 2.3×	277 1.7×	173 1.4×	276 2.7×	39 0.5×	55	715
Zhiyu Zhang China	13	266 1.4×	80 0.5×	77 0.6×	205 2.0×	14 0.2×	29	502
Jinping Guo China	15	59 0.3×	51 0.3×	63 0.5×	58 0.6×	127 1.6×	46	616
Fei Lin China	10	39 0.2×	68 0.4×	60 0.5×	45 0.4×	27 0.4×	49	422
Charles E. Thomas United States	10	90 0.5×	181 1.1×	101 0.8×	21 0.2×	15 0.2×	19	355
Fengjun Zhao China	15	71 0.4×	44 0.3×	460 3.7×	107 1.0×	27 0.4×	36	651
Changfu Liu China	10	36 0.2×	35 0.2×	71 0.6×	58 0.6×	21 0.3×	20	317
Margarita Himmelbauer Austria	12	49 0.3×	18 0.1×	47 0.4×	36 0.4×	47 0.6×	22	590
Xiaolong Bai China	14	20 0.1×	35 0.2×	80 0.6×	73 0.7×	81 1.1×	53	529
Marco Fioravanti Italy	14	25 0.1×	90 0.6×	111 0.9×	29 0.3×	11 0.1×	51	565

Countries citing papers authored by Takuya Hiroshima

Since Specialization

Citations

This map shows the geographic impact of Takuya Hiroshima'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 Takuya Hiroshima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuya Hiroshima more than expected).

Fields of papers citing papers by Takuya Hiroshima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Takuya Hiroshima. 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 Takuya Hiroshima. The network helps show where Takuya Hiroshima may publish in the future.

Co-authorship network of co-authors of Takuya Hiroshima

This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Hiroshima. A scholar is included among the top collaborators of Takuya Hiroshima 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 Takuya Hiroshima. Takuya Hiroshima 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

Hiroshima, Takuya, et al.. (2025). Remote sensing and deep learning-based detection of changes in aboveground carbon storage in young teak plantations (2019-2023): A case study in Pauk Khaung Township, West Bago Mountains, Myanmar. GEOMATICA. 77(2). 100074–100074.

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.

Kato, Tomomichi, et al.. (2025). National-scale calibrated GEDI AGBD models for effective assessment of growth conditions across forest strata. Forest Ecology and Management. 585. 122657–122657.

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).

Sato, Tamotsu, et al.. (2025). Applicability of remote sensing and machine learning for predicting bulk soil electrical conductivity under different forest types in central Japan. SHILAP Revista de lepidopterología. 3. 100045–100045. 1 indexed citations

Hiroshima, Takuya, et al.. (2024). Participatory Forest Management and Gender Inclusiveness within the Community Forest Management Groups of Bhutan. Journal of Geoscience and Environment Protection. 12(4). 12–30. 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

Hiroshima, Takuya, et al.. (2024). High-resolution mapping of forest structure and carbon stock using multi-source remote sensing data in Japan. Remote Sensing of Environment. 312. 114322–114322. 18 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). 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

12.

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

13.

Moe, Kyaw Thu, Toshiaki Owari, Naoyuki Furuya, & Takuya Hiroshima. (2020). Comparing Individual Tree Height Information Derived from Field Surveys, LiDAR and UAV-DAP for High-Value Timber Species in Northern Japan. Forests. 11(2). 223–223. 74 indexed citations

14.

Moe, Kyaw Thu, Toshiaki Owari, Naoyuki Furuya, Takuya Hiroshima, & Junko Morimoto. (2020). Application of UAV Photogrammetry with LiDAR Data to Facilitate the Estimation of Tree Locations and DBH Values for High-Value Timber Species in Northern Japanese Mixed-Wood Forests. Remote Sensing. 12(17). 2865–2865. 32 indexed citations

15.

Hiroshima, Takuya. (2012). Trends and issues on the Japan Verified Emission Reduction (J-VER) scheme and carbon offset in Japan. 127. 1–16. 1 indexed citations

16.

Nakajima, Takashi Y., Takuya Hiroshima, & Norihiko Shiraishi. (2007). An Analysis of Managed Private Forest Focusing on the Expansion of Lands under the Article 3.4 of the Kyoto Protocol.. Journal of the Japanese Forest Society. 89(3). 167–173. 5 indexed citations

17.

Hotta, Norifumi, et al.. (2007). An Editorial Policy for Forest Education Textbooks to Promote Better Understandings of the Multiple Functions of Forest: A Comparison of Forest Education Textbooks.. Journal of the Japanese Forest Society. 89(6). 374–382. 1 indexed citations

18.

Hiroshima, Takuya, et al.. (2006). Construction of a Volume Table for Evergreen Broad-leaved Trees with Pipe Model Theory and Relative Stem Curve: A Case Study in the Tokyo University Forest in Chiba, Japan.. Journal of the Japanese Forest Society. 88(4). 254–263. 1 indexed citations

19.

Hiroshima, Takuya, et al.. (2006). Development, Practice, and Evaluation of a Forest Educatonal Program on the Subject of Mt. Fuji: Problems and Their Solutions in Conducting Forest Education for Primary and Secondary Schools.. Journal of the Japanese Forest Society. 88(3). 160–168. 3 indexed citations

20.

Nakajima, Takashi Y., et al.. (2006). Developing Methods for Estimating Forest Areas under Article 3.4 of the Kyoto Protocol: A Case Study on Private Lands in Gifu Prefecture, Japan.. Journal of the Japanese Forest Society. 88(3). 181–186. 8 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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