Shin Mou

2.7k total citations
53 papers, 1.8k citations indexed

About

Shin Mou is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Shin Mou has authored 53 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Materials Chemistry, 32 papers in Electronic, Optical and Magnetic Materials and 15 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Shin Mou's work include Ga2O3 and related materials (31 papers), ZnO doping and properties (27 papers) and Advanced Photocatalysis Techniques (15 papers). Shin Mou is often cited by papers focused on Ga2O3 and related materials (31 papers), ZnO doping and properties (27 papers) and Advanced Photocatalysis Techniques (15 papers). Shin Mou collaborates with scholars based in United States, Taiwan and Germany. Shin Mou's co-authors include Adam T. Neal, Kelson D. Chabak, Gregg H. Jessen, Hongping Zhao, Subrina Rafique, Lu Han, Ruth Pachter, Neil Moser, Kevin Leedy and Donald L. Dorsey and has published in prestigious journals such as Nano Letters, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Shin Mou

46 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shin Mou United States 19 1.6k 1.4k 804 456 149 53 1.8k
Zhengwei Chen China 17 1.5k 0.9× 1.4k 1.0× 652 0.8× 533 1.2× 228 1.5× 39 1.7k
Zuyong Yan China 26 1.6k 1.0× 1.7k 1.2× 808 1.0× 557 1.2× 165 1.1× 54 1.9k
Zhanbo Xia United States 23 2.0k 1.2× 2.1k 1.5× 949 1.2× 502 1.1× 380 2.6× 40 2.2k
B. Hertog United States 19 1.1k 0.7× 844 0.6× 229 0.3× 505 1.1× 334 2.2× 36 1.3k
Ivan Shchemerov Russia 24 1.4k 0.9× 1.5k 1.1× 891 1.1× 460 1.0× 265 1.8× 74 1.7k
Takafumi Kamimura Japan 13 1.1k 0.7× 1.0k 0.7× 455 0.6× 276 0.6× 105 0.7× 38 1.3k
Guangzhong Jian China 18 1.4k 0.9× 1.5k 1.0× 704 0.9× 402 0.9× 153 1.0× 24 1.6k
Quang Tu Thieu Japan 18 1.6k 1.0× 1.7k 1.2× 836 1.0× 313 0.7× 221 1.5× 33 1.8k
Neil Moser United States 18 1.5k 0.9× 1.6k 1.1× 647 0.8× 571 1.3× 449 3.0× 45 1.9k
Robert Schewski Germany 27 2.9k 1.8× 2.8k 2.0× 1.7k 2.1× 588 1.3× 143 1.0× 42 3.0k

Countries citing papers authored by Shin Mou

Since Specialization
Citations

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

Fields of papers citing papers by Shin Mou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shin Mou

This figure shows the co-authorship network connecting the top 25 collaborators of Shin Mou. A scholar is included among the top collaborators of Shin Mou 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 Shin Mou. Shin Mou 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.
Hao, Jianhong, Shin Mou, Ziyuan Zhou, et al.. (2025). Ultra-linear, highly sensitive fabric strain/temperature sensor via the regulation of reduced graphene oxide defect and carrier migration for physiological risk alerts. Chemical Engineering Journal. 520. 165856–165856. 1 indexed citations
2.
Zhao, Yunong, X. D. Ruan, Jianhong Hao, et al.. (2025). Easily Fabricated Flexible Pressure Sensor with Angelfish-Structured ZnO/SR Dielectric Layer for Human–Machine Interaction. ACS Applied Bio Materials. 8(10). 9439–9450.
3.
Ruan, X. D., Yunong Zhao, Hanqing Liu, et al.. (2025). Biomimetic Flexible Capacitive Sensor with Loop Electrode and Snail Tentacle Structure for Enhanced Proximity and Pressure Sensing. ACS Applied Materials & Interfaces. 17(22). 32936–32948. 4 indexed citations
4.
Zhao, Yunong, Jianhong Hao, Zihan Lin, et al.. (2025). Triethoxysilane-enhanced graphene/carbon nanoparticles conductive network for multifunctional fabric electronics with pressure, temperature and strain sensing capabilities. Chemical Engineering Journal. 511. 162254–162254. 5 indexed citations
5.
Mou, Shin, Thaddeus J. Asel, Adam T. Neal, et al.. (2024). Epitaxial growth of α-(AlxGa1−x)2O3 by suboxide molecular-beam epitaxy at 1 µm/h. APL Materials. 12(4). 9 indexed citations
6.
Paul, Sanjoy, Roberto López, Adam T. Neal, Shin Mou, & Jian V. Li. (2024). Low-temperature electrical properties and barrier inhomogeneities in ITO/β-Ga2O3 Schottky diode. Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena. 42(2). 2 indexed citations
9.
Li, Jian V., Adam Charnas, Brenton A. Noesges, et al.. (2023). Admittance spectroscopy study of defects in β-Ga2O3. Thin Solid Films. 789. 140196–140196. 3 indexed citations
10.
Neal, Adam T., et al.. (2023). Effect of defects in capacitance-voltage measurement of doping profiles in Ga2O3. Thin Solid Films. 782. 140028–140028.
11.
Li, Jian V., Adam T. Neal, Shin Mou, & Man Hoi Wong. (2022). Investigation of a defect in the β-Ga2O3 substrate material from capacitance transients. Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena. 40(6).
12.
Bhuiyan, A F M Anhar Uddin, Zixuan Feng, Lingyu Meng, et al.. (2022). Si doping in MOCVD grown (010) β-(AlxGa1−x)2O3 thin films. Journal of Applied Physics. 131(14). 24 indexed citations
13.
McCandless, Jonathan P., Vladimir Protasenko, Adam T. Neal, et al.. (2022). Controlled Si doping of β -Ga2O3 by molecular beam epitaxy. Applied Physics Letters. 121(7). 32 indexed citations
14.
Chang, Celesta S., Nicholas Tanen, Vladimir Protasenko, et al.. (2021). γ-phase inclusions as common structural defects in alloyed β-(AlxGa1−x)2O3 and doped β-Ga2O3 films. APL Materials. 9(5). 33 indexed citations
15.
Vogt, Patrick, Felix V. E. Hensling, Celesta S. Chang, et al.. (2021). Adsorption-controlled growth of Ga2O3 by suboxide molecular-beam epitaxy. APL Materials. 9(3). 61 indexed citations
16.
Seryogin, G. A., Fikadu Alema, Houqiang Fu, et al.. (2020). MOCVD growth of high purity Ga2O3 epitaxial films using trimethylgallium precursor. Applied Physics Letters. 117(26). 116 indexed citations
17.
Asel, Thaddeus J., et al.. (2020). Reduction of unintentional Si doping in β-Ga2O3 grown via plasma-assisted molecular beam epitaxy. Journal of Vacuum Science & Technology A Vacuum Surfaces and Films. 38(4). 25 indexed citations
18.
Pancotti, A., Tyson C. Back, C. Lubin, et al.. (2020). Surface relaxation and rumpling of Sn-doped βGa2O3(010). Physical review. B.. 102(24). 7 indexed citations
19.
Neal, Adam T., Yuewei Zhang, S. Elhamri, Siddharth Rajan, & Shin Mou. (2019). Zeeman spin-splitting in the (010) β-Ga2O3 two-dimensional electron gas. Applied Physics Letters. 115(26). 2 indexed citations
20.
Ouchen, Fahima, Steve Kim, S. Elhamri, et al.. (2014). Investigation of a DNA nucleobase as a gate dielectric for potential application in a graphene-based field effect transistor. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9171. 91710C–91710C. 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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