Evidence map›Paper›PMID 39004873›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2025

Optoelectronic Devices for In-Sensor Computing.

Qinqi Ren, Chaoyi Zhu, Sijie Ma, Zhaoqing Wang, Jianmin Yan, Tianqing Wan, Weicheng Yan, Yang Chai

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Gate-Tunable Polarity-Reconfigurable Photovoltaic Response With Dual Linearity in NbSAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Electrochemical in-biosensing computing.National science review · 2026
    Article
  7. Article
  8. Memristive Physical Reservoir Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  9. Review
  10. Review
  11. Ferroelectric Devices for In-Memory and In-Sensor Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Optoelectronic Devices for In-Sensor Computing.Advanced materials (Deerfield Beach, Fla.) · 2025
    Article
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

8 authors.

Qinqi RenDepartment of Applied Physics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, China.ORCID https://orcid.org/0000-0002-1259-6353
Chaoyi ZhuDepartment of Applied Physics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, China.ORCID https://orcid.org/0000-0001-5119-5512
Sijie MaDepartment of Applied Physics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, China.
Zhaoqing WangDepartment of Applied Physics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, China.
Jianmin YanDepartment of Applied Physics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, China.
Tianqing WanDepartment of Applied Physics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, China.
Weicheng YanDepartment of Applied Physics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, China.
Yang ChaiDepartment of Applied Physics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, China.ORCID https://orcid.org/0000-0002-8943-0861

Funding

MOST National Key Technologies R&D Programme SQ2022YFA1200118-04Research Grant Council of Hong Kong CRS_PolyU502/22The Hong Kong Polytechnic University 1-ZE1TThe Hong Kong Polytechnic University WZ4XThe Hong Kong Polytechnic University Shenzhen Research Institute I2022A013
6 · The paper itself

Abstract

The demand for accurate perception of the physical world leads to a dramatic increase in sensory nodes. However, the transmission of massive and unstructured sensory data from sensors to computing units poses great challenges in terms of power-efficiency, transmission bandwidth, data storage, time latency, and security. To efficiently process massive sensory data, it is crucial to achieve data compression and structuring at the sensory terminals. In-sensor computing integrates perception, memory, and processing functions within sensors, enabling sensory terminals to perform data compression and data structuring. Here, vision sensors are adopted as an example and discuss the functions of electronic, optical, and optoelectronic hardware for visual processing. Particularly, hardware implementations of optoelectronic devices for in-sensor visual processing that can compress and structure multidimensional vision information are examined. The underlying resistive switching mechanisms of volatile/nonvolatile optoelectronic devices and their processing operations are explored. Finally, a perspective on the future development of optoelectronic devices for in-sensor computing is provided.

Indexed as

data compressiondata structuringin‐sensor computingoptoelectronic devicesswitching mechanisms

Identifiers

PMID39004873
PMCPMC12160704

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.