Akio Inoue

980 total citations
80 papers, 751 citations indexed

About

Akio Inoue is a scholar working on Nature and Landscape Conservation, Plant Science and Mechanical Engineering. According to data from OpenAlex, Akio Inoue has authored 80 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Nature and Landscape Conservation, 34 papers in Plant Science and 23 papers in Mechanical Engineering. Recurrent topics in Akio Inoue's work include Forest ecology and management (32 papers), Bamboo properties and applications (25 papers) and Tree Root and Stability Studies (22 papers). Akio Inoue is often cited by papers focused on Forest ecology and management (32 papers), Bamboo properties and applications (25 papers) and Tree Root and Stability Studies (22 papers). Akio Inoue collaborates with scholars based in Japan, United Kingdom and United States. Akio Inoue's co-authors include Motohiro Sato, Nobuya Mizoue, Hiroyuki Shima, Yoshiro HASHIMOTO, Kazukiyo Yamamoto, Tamao Noguchi, Fumiaki Kitahara, Mitsuaki Yoshizuka, Kenji Yoshida and Koh‐ichi Yamaki and has published in prestigious journals such as PLoS ONE, Forest Ecology and Management and Agricultural and Forest Meteorology.

In The Last Decade

Akio Inoue

75 papers receiving 701 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akio Inoue Japan 16 273 265 190 134 103 80 751
Alice Nunes Portugal 19 251 0.9× 369 1.4× 33 0.2× 269 2.0× 39 0.4× 44 1.3k
Chenggang Liu China 28 512 1.9× 200 0.8× 86 0.5× 486 3.6× 109 1.1× 99 2.1k
Marcelo Corrêa Alves Brazil 20 115 0.4× 49 0.2× 52 0.3× 45 0.3× 226 2.2× 71 1.2k
Roland Ennos United Kingdom 12 171 0.6× 89 0.3× 82 0.4× 505 3.8× 253 2.5× 24 1.0k
João Serrano Portugal 20 224 0.8× 36 0.1× 166 0.9× 174 1.3× 374 3.6× 90 1.1k
Mostafa Tarkesh Iran 14 91 0.3× 192 0.7× 14 0.1× 137 1.0× 41 0.4× 71 879
Xiaodong Yang China 21 395 1.4× 207 0.8× 82 0.4× 177 1.3× 27 0.3× 78 1.2k
Russell D. Briggs United States 23 119 0.4× 484 1.8× 84 0.4× 496 3.7× 129 1.3× 65 1.5k
Christoph Hahn Germany 13 96 0.4× 81 0.3× 42 0.2× 154 1.1× 20 0.2× 41 605
Emily R. Hunt United States 15 253 0.9× 210 0.8× 14 0.1× 697 5.2× 413 4.0× 37 1.4k

Countries citing papers authored by Akio Inoue

Since Specialization
Citations

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

Fields of papers citing papers by Akio Inoue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akio Inoue

This figure shows the co-authorship network connecting the top 25 collaborators of Akio Inoue. A scholar is included among the top collaborators of Akio Inoue 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 Akio Inoue. Akio Inoue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Inoue, Akio, et al.. (2023). Predicting changes in the carbon stocks of bamboo forests in Japan from 1985 to 2005. Journal of Forest Research. 28(6). 407–415. 1 indexed citations
2.
Inoue, Akio, Motohiro Sato, & Hiroyuki Shima. (2021). A new taper index based on form-factor: application to three bamboo species (Phyllostachys spp.). European Journal of Forest Research. 140(6). 1533–1542. 8 indexed citations
3.
Inoue, Akio, et al.. (2020). Comparison of models for estimating stem surface area of coniferous trees grown in old-growth natural forests. Journal of Forest Research. 26(1). 1–6. 2 indexed citations
4.
Shima, Hiroyuki, et al.. (2020). Cross-Sectional Performance of Hollow Square Prisms with Rounded Edges. Symmetry. 12(6). 996–996. 2 indexed citations
5.
Otsuki, Kyoichi, et al.. (2019). Marked difference of rainfall partitioning in an unmanaged coniferous plantation with high stand density. Journal of Forest Research. 24(2). 107–114. 7 indexed citations
6.
Inoue, Akio, et al.. (2019). Allometric equations for predicting the aboveground biomass of square bamboo, Chimonobambusa quadrangularis. Journal of Forest Research. 24(6). 376–381. 10 indexed citations
7.
Inoue, Akio, Yoshiyuki Miyazawa, Motohiro Sato, & Hiroyuki Shima. (2018). Allometric Equations for Predicting Culm Surface Area of Three Bamboo Species (Phyllostachys spp.). Forests. 9(6). 295–295. 7 indexed citations
8.
Inoue, Akio & Masahiro Sakamoto. (2017). Comparing the methods for quantifying the culm surface area of bamboo, Phyllostachys pubescens. Ecological Research. 32(3). 445–450. 3 indexed citations
9.
Sato, Chihiro, Isao Abe, Takehito Kikuchi, et al.. (2016). Clinical evaluation of occupational therapy training program WIPE with upper limb rehabilitation system SEMUL. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2016(0). 1P1–03a3.
10.
Sato, Motohiro, et al.. (2016). OPTIMAL STRUCTURAL PROPERTIES OF CYLINDRICAL STRUCTURES LEARNING FROM MORPHOLOGY OF WILD BAMBOOS WITH PECULIAR NODES AND VASCULAR BUNDLES. Journal of Japan Society of Civil Engineers Ser A2 (Applied Mechanics (AM)). 72(2). I_25–I_34. 5 indexed citations
11.
Inoue, Akio, et al.. (2013). Determination of the Merchantable Ratios at Culm- and Stand-levels for Bamboo, Phyllostachys pubescens. Journal of the Japanese Forest Society. 95(1). 1–7. 1 indexed citations
12.
Inoue, Akio, et al.. (2013). A Simple Model for Estimating Light Environment in Strip Clear-cutting Stands. Journal of the Japanese Forest Society. 95(5). 245–252.
13.
Taniguchi, Susumu, et al.. (2008). Effects of Strip-cutting on Stand Floor Micro Climate and Tree-species Diversity in a Japanese Cypress Plantation. Journal of the Japanese Forest Society. 91(2). 86–93. 5 indexed citations
14.
Kikuchi, Takehito, et al.. (2007). Development of the Quasi-3-DOF Rehabilitation System for Upper Limbs, ^|^ldquo;PLEMO^|^rdquo;. 5(1). 24–31. 5 indexed citations
15.
Haraguchi, Makoto, Takehito Kikuchi, Ying Jin, et al.. (2007). 3-D Rehabilitation Systems for Upper Limbs Using ER Actuators/Brakes with High Safety: "EMUL", "Robotherapist" and "PLEMO". 35. 258–263. 10 indexed citations
16.
Inoue, Akio, et al.. (2001). Theoretical Derivation of a Two-way Volume Equation in Coniferous Species.. Journal of the Japanese Forest Society. 83(2). 130–134. 7 indexed citations
17.
Inoue, Akio, et al.. (2001). A New Method for Estimating Relative Stem Profile Equations Application to System Yield Tables. Journal of the Japanese Forest Society. 83(1). 1–4. 8 indexed citations
18.
Inoue, Akio, et al.. (2001). A Peport of the Measurement of Stem Taper for Cryptomeria japonica and Chamaecyparis obtusaTrees in the Hiruzen Experimental Forest of Tottori University. 54. 1–6. 1 indexed citations
19.
20.
HASHIMOTO, Yoshiro, et al.. (1969). Screening of Toxic Crabs in the Ryukyu and Amami Islands. NIPPON SUISAN GAKKAISHI. 35(1). 83–87. 17 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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