DAC: Design Automation Conf — papers and institutions, 2024–2026

Papers of DAC, Design Automation Conf (CORE rank A*; field: Computer science (general)), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02. Also as Markdown.

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Key findings#

DAC (Design Automation Conf) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 1,135 of its papers from 2024–2026 (370 in 2024, 458 in 2025, 307 in 2026).
By the countries of the authors' institutions, the most papers come from China (609), the United States (353) and Hong Kong (128).
The institutions with the most papers are Peking University (78), Tsinghua University (72) and Chinese University of Hong Kong (71).
Its most-cited paper of these years is “RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Model” (2024), with 105 citations.

Papers per year#

DAC papers per publication year in OpenAlex (–: not in OpenAlex yet)
Year	Papers	With affiliations
2024	370	369
2025	458	453
2026	307	307

Sources#

Where OpenAlex lists the papers
OpenAlex source	Which papers
S4210231368	The conference's proceedings

Who publishes there#

Institutions with the most DAC papers, 2024–2026
#	Institution	Papers
1	Peking University	78
2	Tsinghua University	72
3	Chinese University of Hong Kong	71
4	Chinese Academy of Sciences	71
5	Shanghai Jiao Tong University	68
6	Southeast University	58
7	Fudan University	54
8	Institute of Computing Technology	46
9	Zhejiang University	40
10	University of Chinese Academy of Sciences	34

Countries with the most DAC papers, 2024–2026
#	Country	Papers
1	China	609
2	United States	353
3	Hong Kong	128
4	South Korea	78
5	Germany	60
6	United Kingdom	52
7	Taiwan	49
8	Singapore	29
9	Switzerland	20
10	United Arab Emirates	19

Keywords with the most DAC papers, 2024–2026
#	Keyword	Papers
1	energy efficiency	152
2	in-memory computing	84
3	large language models	74
4	hardware acceleration	42
5	hardware-software co-design	39
6	graph neural networks	37
7	design space exploration	35
8	hardware security	33
9	hardware accelerators	29
10	hardware verification	26

Most-cited papers#

Most-cited DAC papers of 2024–2026 (citations counted by OpenAlex)
#	Citations	Title	Published	Authors
1	105	RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Model	2024-06-23	Yun-Da Tsai, Mingjie Liu, Haoxing Mark Ren
2	60	EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Unified Compression and Adaptive Layer Voting	2024-06-23	Zhongzhi Yu, Zheng Wang, Yuhan Li et al.
3	60	Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework	2024-06-23	Kaiyan Chang, Kun Wang, Nan Yang et al.
4	34	Artisan: Automated Operational Amplifier Design via Domain-specific Large Language Model	2024-06-23	Zihao Chen, Jiangli Huang, Yiting Liu et al.
5	33	MAGE: A Multi-Agent Engine for Automated RTL Code Generation	2025-06-22	Yujie Zhao, Hejia Zhang, Hui Huang et al.
6	31	ChatCPU: An Agile CPU Design and Verification Platform with LLM	2024-06-23	Xi Wang, Gwok-Waa Wan, Sam-Zaak Wong et al.
7	29	S2RAM PUF: An Ultra-low Power Subthreshold SRAM PUF with Zero Bit Error Rate	2024-06-23	Li Ni, Jiliang Zhang
8	28	AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems	2024-06-23	Chentao Jia, Ming Hu, Zekai Chen et al.
9	27	Invited: New Solutions on LLM Acceleration, Optimization, and Application	2024-06-23	Yingbing Huang, Jiaxin Wan, Hanchen Ye et al.
10	27	APTQ: Attention-aware Post-Training Mixed-Precision Quantization for Large Language Models	2024-06-23	Ziyi Guan, Hantao Huang, Yupeng Su et al.

Conferences in the same field#

ICRA · ISCA · HPCA · MICRO · IROS · DATE · SC · IPDPS · ICS · ICCAD · DSN · ISLPED · HPDC · ITC · FPGA

Cite this page

Scholar4AI. (2026). DAC: Design Automation Conf — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/dac

@misc{scholar4ai-proceedings-dac,
  author = {{Scholar4AI}},
  title = {DAC: Design Automation Conf — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/dac}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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