Evidence map›Paper›PMID 41629291›Full record

ArticleMicrosystems & nanoengineering2026

Low-loss SAW RFID using the reflective multistrip coupler as reflectors.

Junhao Cao, Tianyi He, Guangzu Zhang, Qiuyun Fu, Huan Liu, Leonhard Reindl, Wei Luo

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 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
1 · What the graph read from it

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 registry

The 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 literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Junhao CaoSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, 430074, China.ORCID http://orcid.org/0000-0002-5761-5650
Tianyi HeSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, 430074, China.
Guangzu ZhangSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, 430074, China.ORCID http://orcid.org/0000-0003-0659-4527
Qiuyun FuSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, 430074, China.
Huan LiuSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, 430074, China.ORCID http://orcid.org/0000-0002-4222-2299
Leonhard ReindlLaboratory for Electrical Instrumentation and Embedded Systems, Department of Microsystems Engineering, University of Freiburg, Freiburg, 79110, Germany.
Wei LuoSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, 430074, China. luowei@hust.edu.cn.

Funding

Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2022YFA1204603
6 · The paper itself

Abstract

Surface acoustic wave radio frequency identification (SAW RFID) has gained widespread adoption in remote sensing and identification. However, conventional SAW RFID tags suffer from significant energy loss due to the inherently low reflectance of standard reflectors, fundamentally limiting their wireless interrogation range. To address this limitation, this paper proposes a novel SAW RFID architecture employing reflective multistrip couplers (RMSCs), which exploit the velocity difference between symmetric and antisymmetric wave modes to achieve coherent reflection, thereby circumventing conventional electrical or mechanical reflection mechanisms. Numerical simulations were conducted to analyze performance deterioration induced by parasitic resistances and capacitance and to identify the optimal strip number for peak reflectance. The fabricated RMSC reflector achieves a low loss of 1 dB, with a reflectance difference of merely 0.33 dB compared to the simulation results. A 433 MHz SAW RFID prototype implementing RMSC reflectors on a 128°YX-LiNbO

Identifiers

PMID41629291
PMCPMC12864732

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.