Evidence map›Paper›PMID 36329017›Full record

ArticleNature communications2022

In-sensor reservoir computing system for latent fingerprint recognition with deep ultraviolet photo-synapses and memristor array.

Zhongfang Zhang, Xiaolong Zhao, Xumeng Zhang, Xiaohu Hou, Xiaolan Ma, Shuangzhu Tang, Ying Zhang, Guangwei Xu, Qi Liu, Shibing Long

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Photo-Induced Valence Changed Memristor Based on WOSmall (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  8. Article
  9. Article
  10. Two-terminal β-GaLight, science & applications · 2026
    Article
  11. Synaptic κ-GaAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  12. Memristive Physical Reservoir Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Multimodal flexible sensor system toward telediagnosis.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2026
    Review
  20. Article

5 more citing papers are in PubMed but not listed here.

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

10 authors.

Zhongfang ZhangSchool of Microelectronics, University of Science and Technology of China, Hefei, China.
Xiaolong ZhaoSchool of Microelectronics, University of Science and Technology of China, Hefei, China. xlzhao77@ustc.edu.cn.ORCID 0000-0001-5307-9187
Xumeng ZhangFrontier Institute of Chip and System, Fudan University, Shanghai, China. xumengzhang@fudan.edu.cn.ORCID 0000-0002-3828-151X
Xiaohu HouSchool of Microelectronics, University of Science and Technology of China, Hefei, China.
Xiaolan MaSchool of Microelectronics, University of Science and Technology of China, Hefei, China.
Shuangzhu TangFrontier Institute of Chip and System, Fudan University, Shanghai, China.
Ying ZhangSchool of Microelectronics, University of Science and Technology of China, Hefei, China.
Guangwei XuSchool of Microelectronics, University of Science and Technology of China, Hefei, China.
Qi LiuFrontier Institute of Chip and System, Fudan University, Shanghai, China.
Shibing LongSchool of Microelectronics, University of Science and Technology of China, Hefei, China. shibinglong@ustc.edu.cn.ORCID 0000-0001-6220-4461

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection and recognition of latent fingerprints play crucial roles in identification and security. However, the separation of sensor, memory, and processor in conventional ex-situ fingerprint recognition system seriously deteriorates the latency of decision-making and inevitably increases the overall computing power. In this work, a photoelectronic reservoir computing (RC) system, consisting of DUV photo-synapses and nonvolatile memristor array, is developed to detect and recognize the latent fingerprint with in-sensor and parallel in-memory computing. Through the Ga-rich design, we achieve amorphous GaO

Indexed as

SynapsesElectric Conductivity

Identifiers

PMID36329017
PMCPMC9633641

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.