--- title: "ISLPED (A): papers and universities" description: "ISLPED (IEEE/ACM International Symposium on Low Power Electronics and Design) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 207 of its papers from 2024–2026 (62 in 2024, 80 in 2025, 65 in 2026). By the countries of the authors' institutions, the most papers come from the United States (102), South Korea (59) and China (14)." url: https://scholar4ai.com/proceedings/islped markdown_url: https://scholar4ai.com/proceedings/islped.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "ISLPED (IEEE/ACM International Symposium on Low Power Electronics and Design) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 207 of its papers from 2024–2026 (62 in 2024, 80 in 2025, 65 in 2026). (as of 2026-11-02)" data_url: https://scholar4ai.com/data/rankings.json updated: 2026-11-02T12:20:52+09:00 window: 2026-10-04 to 2026-11-02 source: OpenAlex (CC0) --- # ISLPED: IEEE/ACM International Symposium on Low Power Electronics and Design — papers and institutions, 2024–2026 Papers of ISLPED, IEEE/ACM International Symposium on Low Power Electronics and Design (CORE rank A; field: Computer science (general), Applied computing), 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. All conferences: https://scholar4ai.com/proceedings.md ## Key findings - ISLPED (IEEE/ACM International Symposium on Low Power Electronics and Design) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 207 of its papers from 2024–2026 (62 in 2024, 80 in 2025, 65 in 2026). - By the countries of the authors' institutions, the most papers come from the United States (102), South Korea (59) and China (14). - The institutions with the most papers are Korea University (12), Georgia Institute of Technology (10) and Purdue University West Lafayette (10). - Its most-cited paper of these years is “PEANO-ViT: Power-Efficient Approximations of Non-Linearities in Vision Transformers” (2024), with 17 citations. ## Papers per year *ISLPED papers per publication year in OpenAlex (–: not in OpenAlex yet)* | Year | Papers | With affiliations | |---|---:|---:| | 2024 | 62 | 62 | | 2025 | 80 | 71 | | 2026 | 65 | 65 | ## Sources *Where OpenAlex lists the papers* | OpenAlex source | Which papers | |---|---| | [S4363608740](https://openalex.org/S4363608740) | The conference's proceedings | ## Who publishes there *Institutions with the most ISLPED papers, 2024–2026* | # | Institution | Papers | |---:|---|---:| | 1 | Korea University | 12 | | 2 | Georgia Institute of Technology | 10 | | 3 | Purdue University West Lafayette | 10 | | 4 | Arizona State University | 8 | | 5 | University of Southern California | 7 | | 6 | University of California, Irvine | 7 | | 7 | University of California San Diego | 7 | | 8 | Chung-Ang University | 7 | | 9 | Pohang University of Science and Technology | 6 | | 10 | Intel (United States) | 6 | *Countries with the most ISLPED papers, 2024–2026* | # | Country | Papers | |---:|---|---:| | 1 | United States | 102 | | 2 | South Korea | 59 | | 3 | China | 14 | | 4 | Switzerland | 9 | | 5 | India | 9 | | 6 | Taiwan | 8 | | 7 | Germany | 4 | | 8 | Hong Kong | 4 | | 9 | Japan | 4 | | 10 | Netherlands | 4 | *Keywords with the most ISLPED papers, 2024–2026* | # | Keyword | Papers | |---:|---|---:| | 1 | energy efficiency | 78 | | 2 | in-memory computing | 24 | | 3 | edge computing | 14 | | 4 | hardware acceleration | 10 | | 5 | low-power electronics | 9 | | 6 | hyperdimensional computing | 8 | | 7 | FPGA implementation | 6 | | 8 | hardware accelerators | 6 | | 9 | spiking neural networks | 6 | | 10 | AI accelerators | 5 | ## Most-cited papers *Most-cited ISLPED papers of 2024–2026 (citations counted by OpenAlex)* | # | Citations | Title | Published | Authors | |---:|---:|---|---|---| | 1 | 17 | [PEANO-ViT: Power-Efficient Approximations of Non-Linearities in Vision Transformers](https://doi.org/10.1145/3665314.3670843) | 2024-08-05 | Mohammad Erfan Sadeghi, Arash Fayyazi, Seyedarmin Azizi et al. | | 2 | 11 | [Hyft: A Reconfigurable Softmax Accelerator with Hybrid Numeric Format for both Training and Inference](https://doi.org/10.1145/3665314.3670816) | 2024-08-05 | Tianhua Xia, Sai Qian Zhang | | 3 | 10 | [All You Need is Unary: End-to-End Unary Bit-stream Processing in Hyperdimensional Computing](https://doi.org/10.1145/3665314.3670834) | 2024-08-05 | Mehran Shoushtari Moghadam, Sercan Aygün, Faeze S. Banitaba et al. | | 4 | 8 | [HeTraX: Energy Efficient 3D Heterogeneous Manycore Architecture for Transformer Acceleration](https://doi.org/10.1145/3665314.3670814) | 2024-08-05 | Pratyush Dhingra, Jana Doppa, Partha Pratim Pande | | 5 | 8 | [PiQi: Partially Quantized DNN Inference on HMPSoCs](https://doi.org/10.1145/3665314.3670841) | 2024-08-05 | Ehsan Aghapour, Yixian Shen, Dolly Sapra et al. | | 6 | 7 | [FPIA: Field-Programmable Ising Arrays with In-Memory Computing](https://doi.org/10.1145/3665314.3670851) | 2024-08-05 | George Higgins Hutchinson, Ethan Sifferman, Tinish Bhattacharya et al. | | 7 | 7 | [3D IC Architecture Evaluation and Optimization with Digital Compute-in-Memory Designs](https://doi.org/10.1145/3665314.3670838) | 2024-08-05 | Hyung Joon Byun, Udit Gupta, Jae-sun Seo | | 8 | 7 | [Unleashing Flexibility of ML-based Power Estimators Through Efficient Development Strategies](https://doi.org/10.1145/3665314.3670823) | 2024-08-05 | Yao Lu, Qijun Zhang, Zhiyao Xie | | 9 | 7 | [Design Approach for Die-to-Die Interfaces to Enable Energy-Efficient Chiplet Systems](https://doi.org/10.1145/3665314.3680473) | 2024-08-05 | Vikram Jain, Wei Tang, Zuoguo Wu et al. | | 10 | 7 | [Energy-Efficient Frequency Selection Method for Bio-Signal Acquisition in AI/ML Wearables](https://doi.org/10.1145/3665314.3670815) | 2024-08-05 | Hossein Taji, José Miranda, Miguel Peón-Quirós et al. | ## Cite this page Scholar4AI. (2026). ISLPED: IEEE/ACM International Symposium on Low Power Electronics and Design — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/islped ```bibtex @misc{scholar4ai-proceedings-islped, author = {{Scholar4AI}}, title = {ISLPED: IEEE/ACM International Symposium on Low Power Electronics and Design — papers and institutions, 2024–2026}, year = {2026}, howpublished = {\url{https://scholar4ai.com/proceedings/islped}}, urldate = {2026-11-02}, note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0} } ``` License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).