Taisuke Yasuda

956 total citations
31 papers, 734 citations indexed

About

Taisuke Yasuda is a scholar working on Ecology, Environmental Engineering and Nature and Landscape Conservation. According to data from OpenAlex, Taisuke Yasuda has authored 31 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecology, 11 papers in Environmental Engineering and 7 papers in Nature and Landscape Conservation. Recurrent topics in Taisuke Yasuda's work include Remote Sensing in Agriculture (9 papers), Remote Sensing and LiDAR Applications (8 papers) and Ecology and Vegetation Dynamics Studies (7 papers). Taisuke Yasuda is often cited by papers focused on Remote Sensing in Agriculture (9 papers), Remote Sensing and LiDAR Applications (8 papers) and Ecology and Vegetation Dynamics Studies (7 papers). Taisuke Yasuda collaborates with scholars based in Japan, China and United States. Taisuke Yasuda's co-authors include Kensuke Kawamura, Michio Tsutsumi, Tsuyoshi Akiyama, Osamu Watanabe, Shiping Wang, Hiro-omi YOKOTA, Masae Shiyomi, Hidetoshi Asai, Yoshimichi Hori and Yasuo Yamamura and has published in prestigious journals such as Remote Sensing of Environment, Scientific Reports and Agriculture Ecosystems & Environment.

In The Last Decade

Taisuke Yasuda

31 papers receiving 708 citations

Peers

Taisuke Yasuda

ECOLO

GPC

MMPL

NLC

Zhenchao Zhang China

Darren K. James United States

Cornelis van der Waal South Africa

C. M. Steele United States

Panteleimon Xofis Greece

Jerry D. Volesky United States

Gavin J. Melville Australia

Marco Pittarello Italy

Robert De Wulf Belgium

Robert K. Lyons United States

Zhenchao Zhang China

Taisuke Yasuda

248 ×0.7

ECOLO

124 ×0.7

GPC

196 ×1.2

MMPL

200 ×1.2

NLC

103 ×0.6

Citations per year, relative to Taisuke Yasuda Taisuke Yasuda (= 1×) peers Zhenchao Zhang

Countries citing papers authored by Taisuke Yasuda

Since Specialization

Citations

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

Fields of papers citing papers by Taisuke Yasuda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taisuke Yasuda

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

Kawamura, Kensuke, et al.. (2024). Legume content estimation from UAV image in grass-legume meadows: comparison methods based on the UAV coverage vs. field biomass. Scientific Reports. 14(1). 31705–31705. 1 indexed citations

Kawamura, Kensuke, et al.. (2024). Cattle dung detection in pastures from drone images using YOLOv5. Grassland Science. 70(4). 168–174. 1 indexed citations

Woodruff, David P. & Taisuke Yasuda. (2023). New Subset Selection Algorithms for Low Rank Approximation: Offline and Online. 1802–1813. 2 indexed citations

Musco, Cameron, Christopher Musco, David P. Woodruff, & Taisuke Yasuda. (2022). Active Linear Regression for ℓ_p Norms and Beyond. 38. 744–753. 4 indexed citations

Woodruff, David P. & Taisuke Yasuda. (2022). High-Dimensional Geometric Streaming in Polynomial Space. 732–743. 2 indexed citations

Yasuda, Taisuke. (2020). Land cover estimation around Mt.Fuji using old topographic maps by template matching. 日本草地学会誌. 66. 59. 1 indexed citations

Kawamura, Kensuke, et al.. (2020). Counting of Pennisetum alopecuroides at heading stage in a grazed pasture using images from an unmanned aerial vehicle. Grassland Science. 66(4). 285–292. 4 indexed citations

Yamamoto, Shinya, Takashi Nakamura, Yukihiko Serisawa, et al.. (2020). Water Sources of Lake Bottom Springs in Lake Kawaguchi, Northern Foot of Mount Fuji, Japan. Journal of Geography (Chigaku Zasshi). 129(5). 665–676. 4 indexed citations

Kawamura, Kensuke, et al.. (2020). Field phenotyping of plant height in an upland rice field in Laos using low-cost small unmanned aerial vehicles (UAVs). Plant Production Science. 23(4). 452–465. 52 indexed citations

10.

Watanabe, Nariyasu, et al.. (2016). Methodology to predict the spatial distribution of cattle dung using manageable factors and a Bayesian approach. Agriculture Ecosystems & Environment. 220. 135–141. 10 indexed citations

11.

Kawamura, Kensuke, Toru Tamaki, Yuzo Kurokawa, et al.. (2015). A preliminarily study for predicting body weight and milk properties in lactating Holstein cows using a three-dimensional camera system. Computers and Electronics in Agriculture. 111. 186–193. 81 indexed citations

12.

Yamamura, Yasuo, et al.. (2008). Nurse-Plant Effects of a Dwarf Shrub on the Establishment of Tree Seedlings in a Volcanic Desert on Mt. Fuji, Central Japan. Arctic Antarctic and Alpine Research. 40(2). 335–342. 20 indexed citations

13.

Chen, Jun, Yasuo Yamamura, Yoshimichi Hori, et al.. (2007). Small‐scale species richness and its spatial variation in an alpine meadow on the Qinghai‐Tibet Plateau. Ecological Research. 23(4). 657–663. 36 indexed citations

14.

Hori, Yoshimichi, et al.. (2005). Spatial pattern differences in land use between mountainous, agricultural and city districts in Ibaraki prefecture, Japan. Nihon Seitai Gakkaishi. 55(1). 11–19. 3 indexed citations

15.

Kawamura, Kensuke, Tsuyoshi Akiyama, Hirofumi Yokota, et al.. (2005). Monitoring of forage conditions with MODIS imagery in the Xilingol steppe, Inner Mongolia. International Journal of Remote Sensing. 26(7). 1423–1436. 45 indexed citations

16.

Kawamura, Kensuke, Tsuyoshi Akiyama, Hiro-omi YOKOTA, et al.. (2005). Comparing MODIS vegetation indices with AVHRR NDVI for monitoring the forage quantity and quality in Inner Mongolia grassland, China. Grassland Science. 51(1). 33–40. 85 indexed citations

17.

Shiyomi, Masae, et al.. (2005). Community structure of a semi-natural grassland and an abandoned, forested grassland. 6 indexed citations

18.

Kawamura, Kensuke, Tsuyoshi Akiyama, Hiro-omi YOKOTA, et al.. (2004). Quantifying grazing intensities using geographic information systems and satellite remote sensing in the Xilingol steppe region, Inner Mongolia, China. Agriculture Ecosystems & Environment. 107(1). 83–93. 177 indexed citations

19.

Yasuda, Taisuke, et al.. (2003). Differences in Spatial Heterogeneity at the Species and Community Levels in Semi-natural Grasslands under Different Grazing Intensities. 49(1). 10–108. 11 indexed citations

20.

Shiyomi, Masae, et al.. (2001). Spatial heterogeneity in a grassland community: Use of power law. Ecological Research. 16(3). 487–495. 32 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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