Shinya Inazumi

865 total citations
125 papers, 585 citations indexed

About

Shinya Inazumi is a scholar working on Civil and Structural Engineering, Industrial and Manufacturing Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Shinya Inazumi has authored 125 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Civil and Structural Engineering, 26 papers in Industrial and Manufacturing Engineering and 21 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Shinya Inazumi's work include Geotechnical Engineering and Soil Stabilization (33 papers), Grouting, Rheology, and Soil Mechanics (31 papers) and Geotechnical Engineering and Underground Structures (26 papers). Shinya Inazumi is often cited by papers focused on Geotechnical Engineering and Soil Stabilization (33 papers), Grouting, Rheology, and Soil Mechanics (31 papers) and Geotechnical Engineering and Underground Structures (26 papers). Shinya Inazumi collaborates with scholars based in Japan, Thailand and United States. Shinya Inazumi's co-authors include Susit Chaiprakaikeow, Apiniti Jotisankasa, Makoto Kimura, Kazuhiko KOJIMA, Takeshi Katsumi, Masashi Kamon, Shigeaki Tanaka, Hiroaki Sano, Tsuyoshi Takahashi and Tomoki Shiotani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Materials.

In The Last Decade

Shinya Inazumi

107 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shinya Inazumi Japan 12 419 137 87 73 66 125 585
Khalid Farooq Pakistan 18 626 1.5× 160 1.2× 132 1.5× 89 1.2× 68 1.0× 58 870
Masoud Hajialilue‐Bonab Iran 16 695 1.7× 225 1.6× 50 0.6× 93 1.3× 66 1.0× 67 835
Bryan A. McCabe Ireland 22 1.1k 2.6× 366 2.7× 116 1.3× 93 1.3× 78 1.2× 80 1.2k
Abolfazl Baghbani Australia 12 409 1.0× 134 1.0× 56 0.6× 59 0.8× 38 0.6× 33 541
Alan F. Rauch United States 13 545 1.3× 48 0.4× 55 0.6× 52 0.7× 61 0.9× 33 645
Yongsheng Yao China 14 617 1.5× 149 1.1× 42 0.5× 52 0.7× 67 1.0× 41 764
Kasinathan Muthukkumaran India 15 682 1.6× 209 1.5× 30 0.3× 56 0.8× 22 0.3× 67 789
Ilan Juran United States 19 1.1k 2.6× 315 2.3× 128 1.5× 52 0.7× 83 1.3× 94 1.2k
Hossein MolaAbasi Iran 21 974 2.3× 186 1.4× 126 1.4× 133 1.8× 55 0.8× 53 1.1k
Wei-Qiang Feng China 20 882 2.1× 231 1.7× 61 0.7× 59 0.8× 89 1.3× 72 1.1k

Countries citing papers authored by Shinya Inazumi

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Inazumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Inazumi

This figure shows the co-authorship network connecting the top 25 collaborators of Shinya Inazumi. A scholar is included among the top collaborators of Shinya Inazumi 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 Shinya Inazumi. Shinya Inazumi 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.
2.
Inazumi, Shinya, et al.. (2025). Predicting Soil Electrical Resistivity Using Geotechnical Properties and Artificial Neural Networks. Civil Engineering Journal. 11(10). 4044–4056.
3.
Inazumi, Shinya, et al.. (2025). Evaluation of liquefaction resistance in chemically grouted sand using cyclic triaxial tests. Results in Engineering. 27. 106875–106875.
4.
Chao, Kuo Chieh, et al.. (2025). Integration of FEM-based permeation analysis and AI-based predictive models for improved chemical grout permeation assessment in heterogeneous soils. Results in Engineering. 26. 105071–105071. 2 indexed citations
5.
Inazumi, Shinya, et al.. (2024). Assessment of plasticity of muddy soil for earth pressure balance shield tunneling. Tunnelling and Underground Space Technology. 153. 106044–106044. 2 indexed citations
6.
Inazumi, Shinya, et al.. (2024). Applicability of Numerical Simulation by Particle Method to Unconfined Compression Tests on Geomaterials. Civil Engineering Journal. 10(1). 1–19. 5 indexed citations
7.
Chaiprakaikeow, Susit, et al.. (2024). Field evaluation of moisture-suction regime and modulus of geosynthetic-reinforced soil wall with geo-composite side-drain. Geotextiles and Geomembranes. 52(5). 860–873. 3 indexed citations
8.
Inazumi, Shinya, et al.. (2023). Neutralization Treatment for Recycling Construction-Generated Soils. Applied Sciences. 13(11). 6622–6622. 4 indexed citations
9.
Inazumi, Shinya, et al.. (2023). Time-Series Prediction of Long-Term Sustainability of Grounds Improved by Chemical Grouting. Applied Sciences. 13(3). 1333–1333. 3 indexed citations
10.
Inazumi, Shinya, et al.. (2020). Artificial intelligence system for supporting soil classification. Results in Engineering. 8. 100188–100188. 58 indexed citations
11.
Inazumi, Shinya, et al.. (2020). Performance of mechanical agitation type of ground-improvement by CAE system using 3-D DEM. Results in Engineering. 6. 100108–100108. 9 indexed citations
12.
Inazumi, Shinya, et al.. (2012). Necessity of Broad-based Disposal for Disaster Waste Based on Environmental Impacts. 23(4). 199–206. 1 indexed citations
13.
Inazumi, Shinya, et al.. (2011). Swelling Properties of Water-Swelling Materials Exposed to Organic Water Pollution. Kyoto University Research Information Repository (Kyoto University). 5(4). 453–459. 1 indexed citations
14.
Inazumi, Shinya, et al.. (2010). Leachate Control Technology Using H-Jointed Steel Pipe Sheet Piles with H-H Joints at Coastal Landfills. Kyoto University Research Information Repository (Kyoto University). 4(11). 65–70.
15.
Inazumi, Shinya, et al.. (2009). Evaluation of environmental feasibility of steel pipe sheet pile cutoff wall at coastal landfill sites. Journal of Material Cycles and Waste Management. 11(1). 55–64. 5 indexed citations
16.
Inazumi, Shinya & Makoto Kimura. (2009). ENVIRONMENTAL IMPACT EVALUATION ON CONSTRUCTION OF VERTICAL CUTOFF WALLS IN LANDFILL SITES. Kyoto University Research Information Repository (Kyoto University). 40(4). 217–224. 3 indexed citations
17.
Inazumi, Shinya, Makoto Kimura, & Masashi Kamon. (2008). Environmental designs for vertical cutoff walls in coastal landfill sites. 39(1). 19–24. 4 indexed citations
18.
Inazumi, Shinya, et al.. (2007). Swelling and Strength Properties of Water Swelling Material Used in Containment Facilities at Waste Landfill Sites. Environmental Engineering Research. 44. 463–469. 1 indexed citations
19.
Kamon, Masashi, Shinya Inazumi, & Takeshi Katsumi. (2002). Performance evaluations of landfill cover systems with sludge barriers. 33(3). 113–132. 5 indexed citations
20.
Kamon, Masashi, et al.. (2000). Evaluation of waste sludge as landfill cover. Kyoto University Research Information Repository (Kyoto University). 43(43). 515–523. 1 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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