In one paragraphArticle in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
17 authors.
Yi ZhangSchool of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0002-3666-9836 Yi DengDepartment of Electrical and Electronic Engineering, The University of Hong Kong, Lung Fu Shan, Hong Kong.ORCID 0009-0008-5697-5399 Dingchen WangDepartment of Electrical and Electronic Engineering, The University of Hong Kong, Lung Fu Shan, Hong Kong.ORCID 0000-0003-3747-1626 Zilong XiongSchool of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.
Yang JiangSchool of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0002-5430-2931 Chenkai DengSchool of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.
Chuying TangSchool of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.
Shaocong WangSchool of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen 518055, China.ORCID 0000-0002-7195-8676 Mujun LiSchool of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0009-0005-5358-4921 Xiaohui WangSchool of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0002-5133-5383 Fangzhou DuSchool of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0002-8151-8092 Qiaoyu HuSchool of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0009-0001-9121-5212 Xiaojuan QiDepartment of Electrical and Electronic Engineering, The University of Hong Kong, Lung Fu Shan, Hong Kong.ORCID 0000-0002-4285-1626 Han WangDepartment of Electrical and Electronic Engineering, The University of Hong Kong, Lung Fu Shan, Hong Kong.ORCID 0000-0001-5121-3362 Qing WangSchool of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0002-5478-5662 Hongyu YuSchool of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0002-1527-8756 Zhongrui WangSchool of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0003-2264-0677 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
Processing wireless RF signals using analog electromagnetic (EM) wave-based neural networks enables energy efficiency and parallelism by integrating sensing, memory, and computation, avoiding analog-to-digital conversions (ADCs) and the von-Neumann bottleneck. Yet, a notable challenge remains: the absence of compact and programmable building blocks for EM wave-based neural networks. To overcome this limitation, we propose a piezoelectric surface acoustic wave (SAW) memristor that integrates an Ag/SiO
Identifiers
PMID41564178
PMCPMC13150716
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