Ren-Shuo Liu

4.8k total citations
73 papers, 2.4k citations indexed

About

Ren-Shuo Liu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ren-Shuo Liu has authored 73 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Electrical and Electronic Engineering, 18 papers in Artificial Intelligence and 14 papers in Computer Networks and Communications. Recurrent topics in Ren-Shuo Liu's work include Advanced Memory and Neural Computing (49 papers), Ferroelectric and Negative Capacitance Devices (31 papers) and Semiconductor materials and devices (18 papers). Ren-Shuo Liu is often cited by papers focused on Advanced Memory and Neural Computing (49 papers), Ferroelectric and Negative Capacitance Devices (31 papers) and Semiconductor materials and devices (18 papers). Ren-Shuo Liu collaborates with scholars based in Taiwan, China and United States. Ren-Shuo Liu's co-authors include Kea‐Tiong Tang, Meng‐Fan Chang, Chih-Cheng Hsieh, Chung‐Chuan Lo, Chia-Lin Yang, Wei-Chen Wei, Cheng-Xin Xue, Yen-Cheng Chiu, Tzu-Hsiang Hsu and Wei Wu and has published in prestigious journals such as Science, IEEE Journal of Solid-State Circuits and IEEE Transactions on Computers.

In The Last Decade

Ren-Shuo Liu

66 papers receiving 2.4k citations

Peers

Ren-Shuo Liu
Comparison fields: 5 of 51
  • Electrical and Electronic Engineering 2.0k
  • Hardware and Architecture 415
  • Computer Networks and Communications 404
  • Artificial Intelligence 392
  • Cellular and Molecular Neuroscience 292
Replace Win-San Khwa with:
Win-San Khwa Taiwan
Yu-Der Chih Taiwan
Anirban Nag United States
Priyanka Raina United States
Shuangchen Li United States
Georg Sigl Germany
Dimin Niu United States
Ajay Joshi United States
Noriyuki Miura Japan
Ping Chi United States
Win-San Khwa Taiwan View profile →
Citations per field, relative to Ren-Shuo Liu
Ren-Shuo Liu · 1×
Citations per year, relative to Ren-Shuo Liu
Ren-Shuo Liu · 1×

Countries citing papers authored by Ren-Shuo Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ren-Shuo Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ren-Shuo Liu. 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 Ren-Shuo Liu. The network helps show where Ren-Shuo Liu may publish in the future.

Co-authorship network of co-authors of Ren-Shuo Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ren-Shuo Liu. A scholar is included among the top collaborators of Ren-Shuo Liu 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 Ren-Shuo Liu. Ren-Shuo Liu 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
# Work Indexed citations
1 0
2 1
3 3
4 47
5 0
6 1
7 7
8 19
9 1
10 4
11 43
12 91
13 143
14 18
15 180
16 65
17 159
18 203
19
FlexNet: Neural Networks with Inherent Inference-Time Bitwidth Flexibility
4
20 3

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026