Evidence map›Paper›PMID 42268582›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Light Intensity-Driven Bidirectional Photoresponse Vision Sensor for Autonomous Obstacle Avoidance System.

Zhen Liu, Sen Zhang, Pingdan Xiao, Wanru Kong, Hanzhen Zhang, Lin Tang, Rui He, Jing Zeng, Junyi Zeng, Pengcheng Zeng and 12 more

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 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

22 authors.

Zhen LiuSchool of Optoelectronic Engineering, Henan Key Laboratory of Advanced Semiconductor & Functional Device Integration, Henan Key Laboratory of Infrared Materials & Spectrum Measures and Applications, Henan Normal University, Xinxiang, Henan, China.
Sen ZhangSchool of Physics and Electronics, Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education & Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, Hunan University, Changsha, China.
Pingdan XiaoCollege of Computer Science and Electronic Engineering, Hunan University, Changsha, China.ORCID https://orcid.org/0000-0002-4134-8551
Wanru KongCollege of Semiconductors (College of Integrated Circuits), Hunan University, Changsha, China.
Hanzhen ZhangCollege of Semiconductors (College of Integrated Circuits), Hunan University, Changsha, China.
Lin TangSchool of Physics and Electronics, Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education & Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, Hunan University, Changsha, China.
Rui HeSchool of Physics and Electronics, Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education & Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, Hunan University, Changsha, China.
Jing ZengCollege of Semiconductors (College of Integrated Circuits), Hunan University, Changsha, China.
Junyi ZengSchool of Physics and Electronics, Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education & Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, Hunan University, Changsha, China.
Pengcheng ZengCollege of Semiconductors (College of Integrated Circuits), Hunan University, Changsha, China.
Wencheng NiuSchool of Physics and Electronics, Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education & Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, Hunan University, Changsha, China.
Wanhan SuSchool of Physics and Electronics, Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education & Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, Hunan University, Changsha, China.
Zhengdao XieSchool of Physics and Electronics, Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education & Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, Hunan University, Changsha, China.
Ruohao HongSchool of Physics and Electronics, Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education & Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, Hunan University, Changsha, China.
Bei JiangSchool of Physics and Electronics, Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education & Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, Hunan University, Changsha, China.
Xingqiang LiuCollege of Semiconductors (College of Integrated Circuits), Hunan University, Changsha, China.
Yawei LvSchool of Physics and Electronics, Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education & Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, Hunan University, Changsha, China.
Xiujuan ZhuangCollege of Semiconductors (College of Integrated Circuits), Hunan University, Changsha, China.
Qinghui HongCollege of Semiconductors (College of Integrated Circuits), Hunan University, Changsha, China.
Chang LiuCollege of Semiconductors (College of Integrated Circuits), Hunan University, Changsha, China.ORCID https://orcid.org/0000-0002-4708-4470
Lei LiaoCollege of Semiconductors (College of Integrated Circuits), Hunan University, Changsha, China.ORCID https://orcid.org/0000-0003-1325-2410
Xuming ZouSchool of Physics and Electronics, Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education & Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, Hunan University, Changsha, China.ORCID https://orcid.org/0000-0003-4553-6338

Funding

Huxiang Young Talents 2023RC3103Key Research and Development Plan of Hunan Province 2022WK2001Key Research and Development Plan of Hunan Province 2024JK2009Key Research and Development Plan of Hunan Province 2025RC1037Key Research and Development Plan of Hunan Province 2025WK2013Major Fundamental Research Project of Hunan Province 2025JC0005National Key Research and Development Program of Ministry of Science and Technology 2024YFB3614200National Natural Science Foundation of China 12174094National Natural Science Foundation of China 62134001National Natural Science Foundation of China 62321003National Natural Science Foundation of China 62371186National Natural Science Foundation of China 62404175National Natural Science Foundation of China 62404231National Natural Science Foundation of China 62504057National Natural Science Foundation of China 92464303National Natural Science Foundation of China U24A20297National Natural Science Foundation of China U24A20302Science and Technology Innovation Program of Hunan Province 2023RC3112
6 · The paper itself

Abstract

Bio-inspired vision sensors emulating neural-pathway processing hold significant promise for next-generation robotics and artificial intelligence. However, achieving biomimetic threat-distance adaptation, where escape initiation dynamically calibrates to looming object proximity within a single device as in insect neural circuits, remains challenging for bionic vision systems implementations. Herein, we present a vision sensor based on a 2D PVK/h-BN/MoS

Indexed as

autonomous obstacle avoidancephototransistortwo‐dimensional perovskitetwo‐dimensional semiconductorsvision sensors

Identifiers

PMID42268582
PMCPMC13378246

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.