Keiji Ueno

7.7k total citations
226 papers, 6.4k citations indexed

About

Keiji Ueno is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Keiji Ueno has authored 226 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 143 papers in Electrical and Electronic Engineering, 130 papers in Materials Chemistry and 42 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Keiji Ueno's work include 2D Materials and Applications (66 papers), Organic Electronics and Photovoltaics (34 papers) and Graphene research and applications (30 papers). Keiji Ueno is often cited by papers focused on 2D Materials and Applications (66 papers), Organic Electronics and Photovoltaics (34 papers) and Graphene research and applications (30 papers). Keiji Ueno collaborates with scholars based in Japan, United States and Taiwan. Keiji Ueno's co-authors include Kazuhito Tsukagoshi, Mahito Yamamoto, Koichiro Saiki, Shu Nakaharai, Hajime Shirai, Atsushi Koma, Songlin Li, Ryo Ishikawa, Yen‐Fu Lin and Qiming Liu and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Advanced Materials.

In The Last Decade

Keiji Ueno

217 papers receiving 6.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keiji Ueno Japan 41 4.7k 3.6k 1.2k 946 531 226 6.4k
Thomas Chassé Germany 38 2.5k 0.5× 3.2k 0.9× 1.0k 0.8× 1.0k 1.1× 730 1.4× 237 5.2k
Elton J. G. Santos United Kingdom 41 6.2k 1.3× 2.8k 0.8× 1.1k 0.9× 1.0k 1.1× 704 1.3× 86 7.4k
V.R. Dhanak United Kingdom 40 3.0k 0.6× 1.9k 0.5× 1.5k 1.2× 806 0.9× 470 0.9× 180 4.6k
Koichiro Saiki Japan 36 2.6k 0.5× 2.5k 0.7× 1.2k 0.9× 739 0.8× 472 0.9× 222 4.4k
Gamini Sumanasekera United States 40 5.2k 1.1× 3.2k 0.9× 915 0.8× 1.3k 1.3× 1.1k 2.1× 154 7.1k
Xiaolong Liu United States 35 5.9k 1.3× 2.3k 0.6× 803 0.7× 1.0k 1.1× 755 1.4× 78 7.3k
Guangfu Luo China 33 3.0k 0.6× 2.5k 0.7× 701 0.6× 538 0.6× 522 1.0× 127 4.5k
Jeremy T. Robinson United States 39 5.9k 1.3× 3.2k 0.9× 1.8k 1.5× 2.2k 2.3× 783 1.5× 127 7.7k
Wenhui Wang China 35 5.0k 1.0× 3.6k 1.0× 831 0.7× 1.3k 1.4× 820 1.5× 118 7.0k
Florentino Lopéz‐Urías Mexico 33 6.7k 1.4× 3.7k 1.0× 807 0.7× 1.3k 1.3× 1.1k 2.1× 126 8.1k

Countries citing papers authored by Keiji Ueno

Since Specialization
Citations

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

Fields of papers citing papers by Keiji Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiji Ueno

This figure shows the co-authorship network connecting the top 25 collaborators of Keiji Ueno. A scholar is included among the top collaborators of Keiji Ueno 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 Keiji Ueno. Keiji Ueno 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.
Kanahashi, Kaito, Tomonori Nishimura, Kohei Aso, et al.. (2025). Dimensionality-Induced Transition from Degenerate to Nondegenerate States in Nb-Doped WSe2. ACS Nano. 19(10). 10244–10254. 5 indexed citations
2.
Yang, Feng‐Shou, Wenwu Li, Jun Li, et al.. (2023). Silicon–van der Waals heterointegration for CMOS-compatible logic-in-memory design. Science Advances. 9(49). eadk1597–eadk1597. 8 indexed citations
3.
Choi, Junho, Jacob Embley, Daria D. Blach, et al.. (2023). Fermi Pressure and Coulomb Repulsion Driven Rapid Hot Plasma Expansion in a van der Waals Heterostructure. Nano Letters. 23(10). 4399–4405. 12 indexed citations
4.
Ueno, Keiji, et al.. (2023). Realization of MoTe2 CMOS inverter by contact doping and channel encapsulation. Japanese Journal of Applied Physics. 63(2). 02SP49–02SP49. 1 indexed citations
5.
Kuddus, Abdul, et al.. (2022). Mist chemical vapor deposition of Al1−xTixOy thin films and their application to a high dielectric material. Journal of Applied Physics. 131(10). 7 indexed citations
6.
Choi, Junho, Matthias Florian, Alexander Steinhoff, et al.. (2021). Twist Angle-Dependent Interlayer Exciton Lifetimes in van der Waals Heterostructures. Physical Review Letters. 126(4). 47401–47401. 122 indexed citations
9.
Hotta, T, Mitsuhiro Okada, Tetsuo Shimizu, et al.. (2020). Enhanced Exciton–Exciton Collisions in an Ultraflat Monolayer MoSe2 Prepared through Deterministic Flattening. ACS Nano. 15(1). 1370–1377. 8 indexed citations
10.
Kurosu, Shunji, Tomofumi Ukai, Yasuhiko Fujii, et al.. (2020). Synthesis of AlOx thin films by atmospheric-pressure mist chemical vapor deposition for surface passivation and electrical insulator layers. Journal of Vacuum Science & Technology A Vacuum Surfaces and Films. 38(3). 7 indexed citations
11.
Hotta, T, Akihiro Ueda, Keisuke Shinokita, et al.. (2020). Exciton diffusion in hBN-encapsulated monolayer MoSe2. Physical review. B.. 102(11). 6 indexed citations
12.
Shioya, Hiroki, Kazuhito Tsukagoshi, Keiji Ueno, & A. Oiwa. (2019). Selective oxidation of the surface layer of bilayer WSe 2 by laser heating. Japanese Journal of Applied Physics. 58(12). 120903–120903. 6 indexed citations
13.
Zhang, Zhiming, Yimeng Wang, Kenji Watanabe, et al.. (2019). Flat bands in small angle twisted bilayer WSe 2. arXiv (Cornell University). 1 indexed citations
15.
Ota, Mineto, et al.. (2019). 182 Retinol remarkably effective in reducing neck wrinkles. Journal of Investigative Dermatology. 139(9). S245–S245.
16.
Maruyama, Mina, Susumu Okada, Satoshi Kusaba, et al.. (2018). Site-dependence of relationships between photoluminescence and applied electric field in monolayer and bilayer molybdenum disulfide. Japanese Journal of Applied Physics. 58(1). 15001–15001. 1 indexed citations
17.
Hossain, Jaker, Yasuhiko Fujii, Tatsuro Hanajiri, et al.. (2016). Effect of substrate bias on mist deposition of conjugated polymer on textured crystalline‐Si for efficient c‐Si/organic heterojunction solar cells. physica status solidi (a). 213(7). 1922–1925. 7 indexed citations
18.
Maekawa, Keiko, Yoshiro Saito, Shogo Ozawa, et al.. (2005). Genetic Polymorphisms and Haplotypes of the Human Cardiac Sodium Channel α Subunit Gene (SCN5A) in Japanese and their Association with Arrhythmia. Annals of Human Genetics. 69(4). 413–428. 19 indexed citations
19.
She, J. H., Takahiro Inoue, & Keiji Ueno. (2001). Effects of interphase uniformity on fracture behavior and mechanical properties of laminated Al2O3 ceramics. Journal of Materials Science Letters. 20(1). 51–53. 1 indexed citations
20.
Ueno, Shoogo, et al.. (1994). Spatio-Temporal MEG Patterns Produced by Spreading Multiple Dipoles.. Journal of the Magnetics Society of Japan. 18(2). 651–654.

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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