Wang Liao

419 total citations
34 papers, 287 citations indexed

About

Wang Liao is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Materials Chemistry. According to data from OpenAlex, Wang Liao has authored 34 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 9 papers in Hardware and Architecture and 7 papers in Materials Chemistry. Recurrent topics in Wang Liao's work include Radiation Effects in Electronics (25 papers), VLSI and Analog Circuit Testing (8 papers) and Semiconductor materials and devices (8 papers). Wang Liao is often cited by papers focused on Radiation Effects in Electronics (25 papers), VLSI and Analog Circuit Testing (8 papers) and Semiconductor materials and devices (8 papers). Wang Liao collaborates with scholars based in Japan, China and United States. Wang Liao's co-authors include Masanori Hashimoto, Chin‐Hsiang Cheng, Jiin-Yuh Jang, Shinichiro Abe, Yukinobu Watanabe, Yiyu Shi, Zheyu Yan, Xichuan Zhou, Cheng Zhuo and Yasuhiro Miyake and has published in prestigious journals such as Applied Energy, IEEE Transactions on Nuclear Science and IEEE Transactions on Circuits & Systems II Express Briefs.

In The Last Decade

Wang Liao

29 papers receiving 285 citations

Peers

Wang Liao
M. Nandakumar United States
Brendan McBennett United States
P. Chandramani United States
Sai Tang China
Wang Liao
Citations per year, relative to Wang Liao Wang Liao (= 1×) peers J. Chatzakis

Countries citing papers authored by Wang Liao

Since Specialization
Citations

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

Fields of papers citing papers by Wang Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wang Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Wang Liao. A scholar is included among the top collaborators of Wang Liao 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 Wang Liao. Wang Liao 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.
Nııkura, M., S. Kawase, Yukinobu Watanabe, et al.. (2025). Muon-Induced SEU Analysis and Simulation for Different Cell Types in 12-nm FinFET SRAMs, and 28-nm Planar SRAMs and Register Files. IEEE Transactions on Nuclear Science. 72(8). 2751–2762.
4.
Liao, Wang, et al.. (2025). A novel digital radiography image fusion enhancement algorithm based on NSST. EURASIP Journal on Image and Video Processing. 2025(1).
6.
Nııkura, M., S. Kawase, Shinichiro Abe, et al.. (2023). Muon-Induced SEU Cross Sections of 12-nm FinFET and 28-nm Planar SRAMs. 1–4. 1 indexed citations
7.
Abe, Shinichiro, et al.. (2023). Characterizing SEU Cross Sections of 12- and 28-nm SRAMs for 6.0, 8.0, and 14.8 MeV Neutrons. 1–6. 2 indexed citations
8.
Liao, Wang, et al.. (2021). Processor SER Estimation with ACE Bit Analysis. 1–5. 4 indexed citations
9.
Yamamoto, Ryohei, et al.. (2021). Development of Autonomous Driving System based on Image Recognition using Programmable SoCs. 1–4. 1 indexed citations
10.
Kuroda, Junya, Yasuhiro Miyake, Yukinobu Watanabe, et al.. (2020). Measurement of Single-Event Upsets in 65-nm SRAMs Under Irradiation of Spallation Neutrons at J-PARC MLF. IEEE Transactions on Nuclear Science. 1–1. 4 indexed citations
11.
Yan, Zheyu, Yiyu Shi, Wang Liao, et al.. (2020). When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies. 163–168. 34 indexed citations
12.
Hashimoto, Masanori & Wang Liao. (2020). Soft Error and Its Countermeasures in Terrestrial Environment. 617–622. 6 indexed citations
13.
Watanabe, Yukinobu, Wang Liao, Masanori Hashimoto, et al.. (2020). Irradiation Test of 65-nm Bulk SRAMs With DC Muon Beam at RCNP-MuSIC Facility. IEEE Transactions on Nuclear Science. 67(7). 1555–1559. 7 indexed citations
14.
15.
Watanabe, Yukinobu, et al.. (2019). Estimation of Muon-Induced SEU Rates for 65-nm Bulk and UTBB-SOI SRAMs. IEEE Transactions on Nuclear Science. 66(7). 1398–1403. 12 indexed citations
16.
Liao, Wang, et al.. (2019). Similarity Analysis on Neutron- and Negative Muon-Induced MCUs in 65-nm Bulk SRAM. IEEE Transactions on Nuclear Science. 66(7). 1390–1397. 13 indexed citations
17.
Liao, Wang, Masanori Hashimoto, Yukinobu Watanabe, et al.. (2019). Negative and Positive Muon-Induced SEU Cross Sections in 28-nm and 65-nm Planar Bulk CMOS SRAMs. 1–5. 9 indexed citations
18.
Liao, Wang, Masanori Hashimoto, Yukinobu Watanabe, et al.. (2018). Measurement and Mechanism Investigation of Negative and Positive Muon-Induced Upsets in 65-nm Bulk SRAMs. IEEE Transactions on Nuclear Science. 65(8). 1734–1741. 22 indexed citations
20.
Liu, Jianguo, Yabai He, Zhenyu Xu, et al.. (2014). [Study of high temperature water vapor concentration measurement method based on absorption spectroscopy].. PubMed. 34(12). 3174–7. 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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