Yuxiao Wang

3.3k total citations · 1 hit paper
63 papers, 2.3k citations indexed

About

Yuxiao Wang is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Materials Chemistry. According to data from OpenAlex, Yuxiao Wang has authored 63 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Electrical and Electronic Engineering, 8 papers in Hardware and Architecture and 5 papers in Materials Chemistry. Recurrent topics in Yuxiao Wang's work include Semiconductor materials and devices (43 papers), Advancements in Semiconductor Devices and Circuit Design (29 papers) and Low-power high-performance VLSI design (27 papers). Yuxiao Wang is often cited by papers focused on Semiconductor materials and devices (43 papers), Advancements in Semiconductor Devices and Circuit Design (29 papers) and Low-power high-performance VLSI design (27 papers). Yuxiao Wang collaborates with scholars based in United States, Taiwan and South Korea. Yuxiao Wang's co-authors include Fatih Hamzaoglu, M. Bohr, Daniel Murray, B. Zheng, Hung-Jen Liao, Guomin Zhang, Dar Sun, Mahmut E. Sinangil, Kedong Zhang and Uma Bhattacharya and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Geoscience and Remote Sensing and IEEE Journal of Solid-State Circuits.

In The Last Decade

Yuxiao Wang

57 papers receiving 2.2k citations

Hit Papers

16.4 An 89TOPS/W and 16.3TOPS/mm2 All-Digital SRAM-Based ... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuxiao Wang United States 24 2.1k 508 163 148 98 63 2.3k
Hung-Jen Liao Taiwan 16 1.3k 0.6× 345 0.7× 125 0.8× 137 0.9× 99 1.0× 40 1.4k
Rajiv Joshi United States 19 1.2k 0.6× 347 0.7× 94 0.6× 125 0.8× 71 0.7× 130 1.4k
Seokhyeong Kang South Korea 19 1.2k 0.6× 506 1.0× 144 0.9× 157 1.1× 68 0.7× 113 1.4k
Lawrence T. Clark United States 22 2.0k 1.0× 899 1.8× 233 1.4× 147 1.0× 42 0.4× 152 2.3k
Mahmut E. Sinangil United States 18 1.3k 0.6× 388 0.8× 168 1.0× 141 1.0× 182 1.9× 34 1.5k
Nathaniel Pinckney United States 19 1.0k 0.5× 484 1.0× 236 1.4× 196 1.3× 253 2.6× 44 1.4k
Tsung-Yung Jonathan Chang Taiwan 20 1.2k 0.6× 276 0.5× 126 0.8× 196 1.3× 123 1.3× 48 1.4k
Noriyuki Miura Japan 22 1.5k 0.7× 471 0.9× 313 1.9× 280 1.9× 98 1.0× 172 1.8k
Santosh Kumar Vishvakarma India 22 1.3k 0.6× 238 0.5× 66 0.4× 98 0.7× 54 0.6× 149 1.6k
Hans Jürgen Mattausch Japan 21 1.4k 0.7× 300 0.6× 190 1.2× 188 1.3× 263 2.7× 247 1.9k

Countries citing papers authored by Yuxiao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yuxiao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuxiao Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuxiao Wang. A scholar is included among the top collaborators of Yuxiao Wang 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 Yuxiao Wang. Yuxiao Wang 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.
Wang, Shuo, et al.. (2025). An Integrated Interframe Stabilization and Fast Imaging Method for Video Synthetic Aperture Radar. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–20.
2.
Chang, Tsung-Yung Jonathan, Yen-Huei Chen, Po‐Sheng Wang, et al.. (2025). A 38.1Mb/mm2 SRAM in a 2nm-CMOS-Nanosheet Technology for High-Density and Energy-Efficient Compute. 492–494.
3.
Wang, Liyu, Perng-Fei Yuh, Yuxiao Wang, et al.. (2024). A New Ultra-Low Voltage Metal Fuse for High Density OTP Applications. 1–2.
5.
Wang, Yuxiao, et al.. (2024). A New High Density 3D Stackable Via RRAM for Computing-in-Memory SOC Applications. IEEE Transactions on Electron Devices. 71(4). 2399–2403. 1 indexed citations
6.
Wang, Yuxiao, et al.. (2024). CMOS-Compatible Embedded Artificial Synaptic Device (eASD) for Neuromorphic Computing and AI Applications. IEEE Transactions on Electron Devices. 71(2). 1313–1319. 4 indexed citations
7.
Chang, Tsung-Yung Jonathan, et al.. (2023). A Trip Down Memory Lane: Reflections on the progress in memories. IEEE Solid-State Circuits Magazine. 15(3). 53–61. 1 indexed citations
8.
Sun, Xiaoyu, Weidong Cao, Brian Crafton, et al.. (2023). Efficient Processing of MLPerf Mobile Workloads Using Digital Compute-In-Memory Macros. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(4). 1191–1205. 10 indexed citations
9.
Fujiwara, Hidehiro, H. Mori, Mei‐Chen Chuang, et al.. (2022). A 5-nm 254-TOPS/W 221-TOPS/mm2 Fully-Digital Computing-in-Memory Macro Supporting Wide-Range Dynamic-Voltage-Frequency Scaling and Simultaneous MAC and Write Operations. 2022 IEEE International Solid- State Circuits Conference (ISSCC). 1–3. 134 indexed citations
10.
Wang, Yuxiao, et al.. (2022). A 135.6Tbps/W 2R2W SRAM with 12T Logic Bit-cell with Vmin Down to 335mV Targeted for Machine-Learning Applications in 6nm FinFET CMOS Technology. 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits). 110–111. 2 indexed citations
12.
Chih, Yu-Der, Po-Hao Lee, Hidehiro Fujiwara, et al.. (2021). 16.4 An 89TOPS/W and 16.3TOPS/mm2 All-Digital SRAM-Based Full-Precision Compute-In Memory Macro in 22nm for Machine-Learning Edge Applications. 252–254. 206 indexed citations breakdown →
13.
Sinangil, Mahmut E., Burak Erbagci, Rawan Naous, et al.. (2020). A 7-nm Compute-in-Memory SRAM Macro Supporting Multi-Bit Input, Weight and Output and Achieving 351 TOPS/W and 372.4 GOPS. IEEE Journal of Solid-State Circuits. 56(1). 188–198. 119 indexed citations
15.
16.
Hamzaoglu, Fatih, Ümüt Arslan, Nabhendra Bisnik, et al.. (2014). A 1 Gb 2 GHz 128 GB/s Bandwidth Embedded DRAM in 22 nm Tri-Gate CMOS Technology. IEEE Journal of Solid-State Circuits. 50(1). 150–157. 26 indexed citations
17.
Wang, Yuxiao, Ümüt Arslan, Nabhendra Bisnik, et al.. (2013). Retention time optimization for eDRAM in 22nm tri-gate CMOS technology. 9.5.1–9.5.4. 11 indexed citations
18.
Karl, Eric, Yuxiao Wang, Yong-Gee Ng, et al.. (2012). A 4.6GHz 162Mb SRAM design in 22nm tri-gate CMOS technology with integrated active V<inf>MIN</inf>-enhancing assist circuitry. 230–232. 69 indexed citations
19.
Wang, Yuxiao, Uddalak Bhattacharya, Zhanping Chen, et al.. (2008). A 1.1 GHz 12 $\mu$A/Mb-Leakage SRAM Design in 65 nm Ultra-Low-Power CMOS Technology With Integrated Leakage Reduction for Mobile Applications. IEEE Journal of Solid-State Circuits. 43(1). 172–179. 49 indexed citations
20.
Zhang, Kedong, Uma Bhattacharya, Fatih Hamzaoglu, et al.. (2004). SRAM design on 65nm CMOS technology with integrated leakage reduction scheme. 294–295. 63 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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