Shang Liu

1.3k total citations · 2 hit papers
17 papers, 226 citations indexed

About

Shang Liu is a scholar working on Hardware and Architecture, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Shang Liu has authored 17 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hardware and Architecture, 6 papers in Artificial Intelligence and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Shang Liu's work include Embedded Systems Design Techniques (4 papers), VLSI and Analog Circuit Testing (3 papers) and Low-power high-performance VLSI design (3 papers). Shang Liu is often cited by papers focused on Embedded Systems Design Techniques (4 papers), VLSI and Analog Circuit Testing (3 papers) and Low-power high-performance VLSI design (3 papers). Shang Liu collaborates with scholars based in Hong Kong, China and United States. Shang Liu's co-authors include Qijun Zhang, Hongce Zhang, Zhiyao Xie, Meng Lin, Xihan Chen, Ying Qiao, Matthew C. Beard, Shaokuan Gong, Letian Zhang and Kui Jiang and has published in prestigious journals such as Energy & Environmental Science, Journal of Colloid and Interface Science and ACS Energy Letters.

In The Last Decade

Shang Liu

15 papers receiving 221 citations

Hit Papers

RTLLM: An Open-Source Benchmark for Design RTL Generation... 2024 2026 2025 2024 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shang Liu Hong Kong 6 74 70 63 34 20 17 226
Martin Rapp Germany 12 227 3.1× 186 2.7× 61 1.0× 5 0.1× 14 0.7× 30 351
В. В. Кравец United States 12 228 3.1× 222 3.2× 37 0.6× 40 1.2× 10 0.5× 43 359
Cuong Tran United States 10 199 2.7× 13 0.2× 51 0.8× 25 0.7× 5 0.3× 21 287
Read Sprabery United States 9 63 0.9× 75 1.1× 182 2.9× 73 2.1× 12 0.6× 12 303
Ecenur Ustun United States 9 195 2.6× 234 3.3× 44 0.7× 13 0.4× 21 1.1× 10 330
Guoqiang Shu United States 8 27 0.4× 11 0.2× 96 1.5× 62 1.8× 16 0.8× 24 222
Abdullah Muzahid United States 9 76 1.0× 177 2.5× 69 1.1× 46 1.4× 6 0.3× 28 267
N.S. Bowen United States 8 93 1.3× 138 2.0× 26 0.4× 29 0.9× 3 0.1× 21 267
Stéphane Rubini France 8 51 0.7× 98 1.4× 23 0.4× 11 0.3× 4 0.2× 28 197
Erik van der Kouwe Netherlands 10 63 0.9× 69 1.0× 181 2.9× 60 1.8× 25 1.3× 30 265

Countries citing papers authored by Shang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shang Liu

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

All Works

17 of 17 papers shown
1.
Liu, Shang, et al.. (2025). A Self-Supervised, Pre-Trained, and Cross-Stage-Aligned Circuit Encoder Provides a Foundation for Various Design Tasks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 505–512. 2 indexed citations
2.
Wang, Jing, et al.. (2025). GenEDA: Towards Generative Netlist Functional Reasoning via Cross-Modal Circuit Encoder-Decoder Alignment. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–9.
3.
Liu, Jingjing, Qiushi Hu, Shang Liu, et al.. (2025). π-Stacked organic heterojunction enabled efficient hydrogen peroxide photoproduction. Journal of Colloid and Interface Science. 686. 184–191. 1 indexed citations
4.
Liu, Shang, et al.. (2025). Towards Big Data in AI for EDA Research: Generation of New Pseudo Circuits at RTL Stage. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 527–533. 1 indexed citations
5.
Yan, Z., et al.. (2025). AssertLLM: Generating Hardware Verification Assertions from Design Specifications via Multi-LLMs. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 614–621. 3 indexed citations
8.
Liu, Shang, et al.. (2024). OpenLLM-RTL: Open Dataset and Benchmark for LLM-Aided Design RTL Generation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–9. 4 indexed citations
9.
Liu, Shang, et al.. (2024). RTLCoder: Fully Open-Source and Efficient LLM-Assisted RTL Code Generation Technique. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 44(4). 1448–1461. 15 indexed citations
10.
Hu, Qiushi, Shang Liu, Jingjing Liu, et al.. (2024). Ultrafast Hole Preservation with Undercoordinated Tungsten for Efficient Solar-to-Chemical Conversion. ACS Energy Letters. 9(7). 3252–3260. 4 indexed citations
11.
Liu, Shang, et al.. (2024). Transferable Presynthesis PPA Estimation for RTL Designs With Data Augmentation Techniques. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 44(1). 200–213. 1 indexed citations
12.
Liu, Shang, et al.. (2024). Annotating Slack Directly on Your Verilog: Fine-Grained RTL Timing Evaluation for Early Optimization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–6. 5 indexed citations
13.
Gong, Shaokuan, Ying Qiao, Yuling Huang, et al.. (2024). A hot carrier perovskite solar cell with efficiency exceeding 27% enabled by ultrafast hot hole transfer with phthalocyanine derivatives. Energy & Environmental Science. 17(14). 5080–5090. 40 indexed citations
14.
Liu, Shang, et al.. (2024). RTLCoder: Outperforming GPT-3.5 in Design RTL Generation with Our Open-Source Dataset and Lightweight Solution. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–5. 42 indexed citations breakdown →
15.
Liu, Shang, et al.. (2024). AssertLLM: Generating Hardware Verification Assertions from Design Specifications via Multi-LLMs. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–1. 24 indexed citations
16.
Liu, Shang, et al.. (2024). RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 722–727. 72 indexed citations breakdown →
17.
Liu, Shang, et al.. (2023). MasterRTL: A Pre-Synthesis PPA Estimation Framework for Any RTL Design. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–9. 11 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026