Hung-Jen Liao

2.0k total citations · 1 hit paper
40 papers, 1.4k citations indexed

About

Hung-Jen Liao is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Hung-Jen Liao has authored 40 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Electrical and Electronic Engineering, 9 papers in Hardware and Architecture and 4 papers in Computer Networks and Communications. Recurrent topics in Hung-Jen Liao's work include Semiconductor materials and devices (29 papers), Advancements in Semiconductor Devices and Circuit Design (27 papers) and Low-power high-performance VLSI design (24 papers). Hung-Jen Liao is often cited by papers focused on Semiconductor materials and devices (29 papers), Advancements in Semiconductor Devices and Circuit Design (27 papers) and Low-power high-performance VLSI design (24 papers). Hung-Jen Liao collaborates with scholars based in Taiwan, United States and Japan. Hung-Jen Liao's co-authors include Jonathan Chang, Dar Sun, Mahmut E. Sinangil, Yuxiao Wang, Yen-Huei Chen, Burak Erbagci, Win-San Khwa, Meng‐Fan Chang, Kerem Akarvardar and Hidehiro Fujiwara and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Solid-State Circuits Letters and 網際網路技術學刊.

In The Last Decade

Hung-Jen Liao

35 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

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

2021 206 citations Yu-Der Chih, Po-Hao Lee et al. profile →

Peers

Countries citing papers authored by Hung-Jen Liao

Since Specialization

Citations

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

Fields of papers citing papers by Hung-Jen Liao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hung-Jen Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Hung-Jen Liao. A scholar is included among the top collaborators of Hung-Jen 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 Hung-Jen Liao. Hung-Jen Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	29.5 A 3nm 3.6GHz Dual-Port SRAM with Backend-RC Optimization and a Far-End Write-Assist Scheme 2025 ·Hidehiro Fujiwara, (unknown), (unknown), (unknown), Chih‐Yu Lin, (unknown), (unknown), (unknown), (unknown), (unknown), Yung‐Hsiang Lin, J.J. Liaw, Yen-Huei Chen, Hung-Jen Liao, Tsung-Yung Jonathan Chang	0
2	A 38.1Mb/mm² SRAM in a 2nm-CMOS-Nanosheet Technology for High-Density and Energy-Efficient Compute 2025 ·Tsung-Yung Jonathan Chang, Yen-Huei Chen, (unknown), (unknown), (unknown), (unknown), Po‐Sheng Wang, (unknown), (unknown), (unknown), Hidehiro Fujiwara, Ku-Feng Lin, Ming‐Hung Chang, (unknown), (unknown), Yuxiao Wang, Hung-Jen Liao, (unknown), (unknown), Geoffrey Yeap	0
3	A 3.3GHz 1024X640 Multi-Bank Single-Port SRAM with Frequency Enhancing Techniques and 0.55V-1.35V Wide Voltage Range Operation in 3nm FinFET for HPC Applications 2024 ·(unknown), (unknown), (unknown), (unknown), (unknown), Krishna Khairnar, (unknown), (unknown), Hung-Jen Liao, Yuxiao Wang, Tsung-Yung Jonathan Chang	1
4	3.7-GHz Multi-Bank High-Current Single-Port Cache SRAM With Leakage Saving Circuits in 3-nm FinFET for HPC Applications 2024 ·IEEE Journal of Solid-State Circuits ·(unknown), (unknown), Y. Aoyagi, Koji Nii, J.J. Liaw, Shien-Yang Wu, (unknown), Hidehiro Fujiwara, Hung-Jen Liao, Tsung-Yung Jonathan Chang	0
5	A 3-nm FinFET 27.6-Mbit/mm² Single-Port 6T SRAM Enabling 0.48–1.2 V Wide Operating Range With Far-End Pre-Charge and Weak-Bit Tracking 2024 ·IEEE Journal of Solid-State Circuits ·Y. Aoyagi, Koji Nii, Makoto Yabuuchi, Tomotaka Tanaka, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Hung-Jen Liao, Tsung-Yung Jonathan Chang	0
6	A 3nm Fin-FET 19.87-Mbit/mm² 2RW Pseudo Dual-Port 6T SRAM with High-R Wire Tracking and Sequential Access Aware Dynamic Power Reduction 2024 ·Tomotaka Tanaka, (unknown), Makoto Yabuuchi, Y. Aoyagi, Masaya Hamada, (unknown), Koji Nii, Hidehiro Fujiwara, (unknown), (unknown), Hung-Jen Liao, Tsung-Yung Jonathan Chang	0
7	A 4nm 6163-TOPS/W/b $\mathbf{4790-TOPS/mm^{2}/b}$ SRAM Based Digital-Computing-in-Memory Macro Supporting Bit-Width Flexibility and Simultaneous MAC and Weight Update 2023 ·H. Mori, (unknown), (unknown), Chia-Fu Lee, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Kerem Akarvardar, Tan‐Li Chou, Hidehiro Fujiwara, Yuxiao Wang, Yu-Der Chih, Yen-Huei Chen, Hung-Jen Liao, Tsung-Yung Jonathan Chang	52
8	A 4.24-GHz 128×256 SRAM Operating Double Pump Read Write Same Cycle in 5-nm Technology 2023 ·IEEE Solid-State Circuits Letters ·(unknown), Young Suk Kim, (unknown), (unknown), (unknown), Hung-Jen Liao, (unknown), Geoffrey Yeap, (unknown), Tsung-Yung Jonathan Chang	1
9	A 3-nm 27.6-Mbit/mm2 Self-timed SRAM Enabling 0.48 - 1.2 V Wide Operating Range with Far-end Pre-charge and Weak-Bit Tracking 2023 ·Y. Aoyagi, Makoto Yabuuchi, Tomotaka Tanaka, (unknown), (unknown), (unknown), Koji Nii, (unknown), (unknown), (unknown), Hung-Jen Liao, Tsung-Yung Jonathan Chang	5
10	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 ·2022 IEEE International Solid- State Circuits Conference (ISSCC) ·Hidehiro Fujiwara, H. Mori, (unknown), Mei‐Chen Chuang, Rawan Naous, (unknown), (unknown), Dar Sun, Chia-Fu Lee, Kerem Akarvardar, Saman Adham, Tan‐Li Chou, Mahmut E. Sinangil, Yuxiao Wang, Yu-Der Chih, Yen-Huei Chen, Hung-Jen Liao, Tsung-Yung Jonathan Chang	134
11	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 breakdown → 2021 ·Yu-Der Chih, Po-Hao Lee, Hidehiro Fujiwara, Yi-Chun Shih, Chia-Fu Lee, Rawan Naous, Yulin Chen, Chieh-Pu Lo, Cheng-Han Lu, H. Mori, (unknown), Dar Sun, Mahmut E. Sinangil, Yen-Huei Chen, Tan‐Li Chou, Kerem Akarvardar, Hung-Jen Liao, Yuxiao Wang, Meng‐Fan Chang, Tsung-Yung Jonathan Chang	206
12	15.1 A 5nm 135Mb SRAM in EUV and High-Mobility-Channel FinFET Technology with Metal Coupling and Charge-Sharing Write-Assist Circuitry Schemes for High-Density and Low-V_MIN Applications 2020 ·Jonathan Chang, Yen-Huei Chen, (unknown), (unknown), Po‐Sheng Wang, (unknown), Hidehiro Fujiwara, (unknown), Hung-Jen Liao, (unknown), Geoffrey Yeap, (unknown)	33
13	A 7-nm Compute-in-Memory SRAM Macro Supporting Multi-Bit Input, Weight and Output and Achieving 351 TOPS/W and 372.4 GOPS 2020 ·IEEE Journal of Solid-State Circuits ·Mahmut E. Sinangil, Burak Erbagci, Rawan Naous, Kerem Akarvardar, Dar Sun, Win-San Khwa, Hung-Jen Liao, Yuxiao Wang, Jonathan Chang	119
14	15.3 A 351TOPS/W and 372.4GOPS Compute-in-Memory SRAM Macro in 7nm FinFET CMOS for Machine-Learning Applications 2020 ·Qing Dong, Mahmut E. Sinangil, Burak Erbagci, Dar Sun, Win-San Khwa, Hung-Jen Liao, Yuxiao Wang, Jonathan Chang	249
15	12.1 A 7nm 256Mb SRAM in high-k metal-gate FinFET technology with write-assist circuitry for low-V<inf>MIN</inf> applications 2017 ·Jonathan Chang, Yen-Huei Chen, (unknown), (unknown), (unknown), Hidehiro Fujiwara, (unknown), (unknown), (unknown), (unknown), Hung-Jen Liao, (unknown), (unknown), (unknown), (unknown), (unknown)	43
16	A 64kb 16nm Asynchronous Disturb Current Free 2-Port SRAM with PMOS Pass-Gates for FinFET Technologies 2016 ·IEICE technical report. Speech ·Hidehiro Fujiwara, Liwen Wang, Yen-Huei Chen, (unknown), Dar Sun, (unknown), J.J. Liaw, Chih‐Yung Lin, (unknown), Hung-Jen Liao, Shien-Yang Wu, Jonathan Chang	2
17	A 64-Kb 0.37V 28nm 10T-SRAM with mixed-Vth read-port and boosted WL scheme for IoT applications 2016 ·Hidehiro Fujiwara, Yen-Huei Chen, (unknown), (unknown), Dar Sun, (unknown), Hung-Jen Liao, Jonathan Chang	13
18	A 16 nm 128 Mb SRAM in High-$\kappa$ Metal-Gate FinFET Technology With Write-Assist Circuitry for Low-VMIN Applications 2014 ·IEEE Journal of Solid-State Circuits ·Yen-Huei Chen, (unknown), (unknown), Hung-Jen Liao, (unknown), J.J. Liaw, (unknown), (unknown), (unknown), (unknown), Shien-Yang Wu, Jonathan Chang	113
19	Compact Measurement Schemes for Bit-Line Swing, Sense Amplifier Offset Voltage, and Word-Line Pulse Width to Characterize Sensing Tolerance Margin in a 40 nm Fully Functional Embedded SRAM 2012 ·IEEE Journal of Solid-State Circuits ·Yen-Huei Chen, (unknown), (unknown), (unknown), Dar Sun, Hung-Jen Liao, Ping Wang, Meng‐Fan Chang, H. Yamauchi	14
20	Network Traffic Analysis with Cloud Platform 2012 ·網際網路技術學刊 ·(unknown), Hung-Jen Liao, (unknown), Ying-Chih Lin, Shih‐Lin Wu	8

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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