Taiki Kimura

420 total citations
32 papers, 276 citations indexed

About

Taiki Kimura is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Taiki Kimura has authored 32 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 5 papers in Artificial Intelligence and 5 papers in Materials Chemistry. Recurrent topics in Taiki Kimura's work include Advancements in Photolithography Techniques (9 papers), Advanced Memory and Neural Computing (5 papers) and Industrial Vision Systems and Defect Detection (5 papers). Taiki Kimura is often cited by papers focused on Advancements in Photolithography Techniques (9 papers), Advanced Memory and Neural Computing (5 papers) and Industrial Vision Systems and Defect Detection (5 papers). Taiki Kimura collaborates with scholars based in Japan, United States and Austria. Taiki Kimura's co-authors include Tetsuaki Matsunawa, Shigeki Nojima, Yuki Watanabe, Takuya Iida, T Shima, Y. Fujita, Tetsuro Itakura, David Z. Pan, Yibo Lin and Meng Li and has published in prestigious journals such as Journal of The Electrochemical Society, International Journal of Molecular Sciences and Electrochimica Acta.

In The Last Decade

Taiki Kimura

28 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taiki Kimura Japan 9 197 58 41 41 38 32 276
Yitao Ma Japan 11 248 1.3× 52 0.9× 30 0.7× 33 0.8× 12 0.3× 36 396
Jun Peng China 20 934 4.7× 45 0.8× 47 1.1× 21 0.5× 40 1.1× 62 1.1k
Hanzhi Ma China 13 241 1.2× 25 0.4× 36 0.9× 26 0.6× 11 0.3× 62 367
Sheetal U. Bhandari India 11 138 0.7× 46 0.8× 45 1.1× 19 0.5× 6 0.2× 49 290
Vítor Grade Tavares Portugal 12 341 1.7× 65 1.1× 95 2.3× 46 1.1× 8 0.2× 52 437
Sayed Masoud Sayedi Iran 9 226 1.1× 56 1.0× 138 3.4× 36 0.9× 5 0.1× 44 337
K. Sivasankaran India 11 351 1.8× 17 0.3× 86 2.1× 57 1.4× 6 0.2× 67 455

Countries citing papers authored by Taiki Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Taiki Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taiki Kimura

This figure shows the co-authorship network connecting the top 25 collaborators of Taiki Kimura. A scholar is included among the top collaborators of Taiki Kimura 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 Taiki Kimura. Taiki Kimura 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.
Kimura, Taiki, Toshihiko Yoshimura, Haruhisa Inoue, et al.. (2025). Effect of multifunction cavitation on fatigue characteristics of A6061-T6 aluminum alloy rods and estimation of fatigue strength. International Journal of Fatigue. 205. 109419–109419.
2.
Komatsu, Setsuko, Taiki Kimura, Shafiq Ur Rehman, et al.. (2023). Proteomic Analysis Reveals Salt-Tolerant Mechanism in Soybean Applied with Plant-Derived Smoke Solution. International Journal of Molecular Sciences. 24(18). 13734–13734. 4 indexed citations
3.
Lissa, Peter de, Katsumi Watanabe, Li Gu, et al.. (2022). Race categorization in noise. i-Perception. 13(4). 1243900458–1243900458. 2 indexed citations
4.
Sakai, Masaru, et al.. (2021). Lasing action of ZnO nanowires grown by mist chemical vapor deposition using thin Au layer on c -plane sapphire substrate. Japanese Journal of Applied Physics. 60(5). 58002–58002. 9 indexed citations
5.
Kimura, Taiki, et al.. (2020). ZnO-based nanowires grown by mist chemical vapor deposition on GaN layer using thin Au layer. Japanese Journal of Applied Physics. 59(11). 118001–118001. 7 indexed citations
6.
Aono, Hikaru, Taiki Kimura, Shinji Honami, & Hitoshi Ishikawa. (2019). Mechanisms of drag reduction due to flow control around circular disk using coaxial type dielectric barrier discharge plasma actuator at low Reynolds numbers. Fluid Dynamics Research. 52(1). 15508–15508. 4 indexed citations
7.
Kimura, Taiki, Masashi Kaneko, Masayuki Watanabe, Sunao Miyashita, & Satoru Nakashima. (2018). Computational chemical analysis of Eu(iii) and Am(iii) complexes with pnictogen-donor ligands using DFT calculations. Dalton Transactions. 47(42). 14924–14931. 9 indexed citations
8.
Honjoh, Ken‐ichi, et al.. (2018). Freezing Tolerance of Lactuca sativa and Induction of CBF and GolS Genes during Cold Treatment. Journal of the Faculty of Agriculture Kyushu University. 63(2). 249–257.
9.
Lin, Yibo, Meng Li, Yuki Watanabe, et al.. (2018). Data Efficient Lithography Modeling With Transfer Learning and Active Data Selection. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 38(10). 1900–1913. 41 indexed citations
10.
Lin, Yibo, Yuki Watanabe, Taiki Kimura, et al.. (2018). Data Efficient Lithography Modeling with Residual Neural Networks and Transfer Learning. 82–89. 16 indexed citations
11.
Habazaki, H., Taiki Kimura, Yoshitaka Aoki, et al.. (2015). Characterization of Corrosion-resistant, Nanometer-thick, Layer-by-layer Aluminosilicate Coatings Prepared on Stainless Steel. Electrochimica Acta. 201. 311–319. 4 indexed citations
12.
Kimura, Taiki, et al.. (2015). Hot spots prediction after etching process based on defect rate. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9426. 942610–942610. 2 indexed citations
13.
Habazaki, H., et al.. (2013). Highly Enhanced Corrosion Resistance of Stainless Steel by Sol-Gel Layer-by-Layer Aluminosilicate Thin Coatings. Journal of The Electrochemical Society. 161(1). C57–C61. 16 indexed citations
14.
Nagahara, Seiji, et al.. (2007). Performance of immersion lithography for 45-nm-node CMOS and ultra-high density SRAM with 0.25um2. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6520. 652008–652008. 3 indexed citations
15.
Kimura, Taiki & T Shima. (2005). Synapse weight accuracy of analog neuro chip. 1. 891–894.
16.
Kimura, Taiki, et al.. (2003). The consistency control system of XML documents. 11. 102–110. 4 indexed citations
17.
Furuyama, T., Takashi Ohsawa, Hikaru Tanaka, et al.. (2003). An experimental 2-bit/cell storage DRAM for macro cell or memory-on-logic application. 4.4/1–4.4/4. 3 indexed citations
18.
Sasaki, M. & Taiki Kimura. (1994). The impact of oxidation of channel polysilicon on the trap-density of submicron bottom-gate TFT's. IEEE Electron Device Letters. 15(1). 1–3. 6 indexed citations
19.
Shima, T, et al.. (1992). Neuro chips with on-chip back-propagation and/or Hebbian learning. IEEE Journal of Solid-State Circuits. 27(12). 1868–1876. 58 indexed citations
20.
Furuyama, T., H. Ishiuchi, Hidetake Tanaka, et al.. (1990). A latch-up-like new failure mechanism for high-density CMOS dynamic RAMs. IEEE Journal of Solid-State Circuits. 25(1). 42–47. 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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