ReviewBiosensors2023
Recent Advances in Nanowire-Based Wearable Physical Sensors.
Review in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 20 citations in OpenAlex.
- Platinum-nanostructured silicon microneedles with scalable fabrication for EEG biosensing.Microsystems & nanoengineering · 2026Article
- Raman reporters for SERS/SERRS biosensing and biomedicine: design, applications, and challenges.Mikrochimica acta · 2026Review
- Scalable AC Electrospinning of Biocompatible Nanofibrous Yarns Based on Expanded Graphite and PEDOT:PSS.Polymers · 2026Article
- Hydrogel-based electrodes for high-fidelity sEMG acquisition and robotic hand control.Microsystems & nanoengineering · 2026Article
- The Role of Thermal Immunomodulation in Postoperative Wound Repair with a Focus on Hepatic Surgery.International journal of molecular sciences · 2026Review
- Materials, Structure, and Interface of Stretchable Interconnects for Wearable Bioelectronics.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- Nanosensors and Microsensors for Body Fluid Monitoring: Various Analyte Detection and Construction Solutions.International journal of molecular sciences · 2025Review
- Silver Nanowire-Based Flexible Strain Sensor for Human Motion Detection.Sensors (Basel, Switzerland) · 2024Article
- AI-Driven Sensing Technology: Review.Sensors (Basel, Switzerland) · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Wearable electronics is a technology that closely integrates electronic devices with the human body or clothing, which can realize human-computer interaction, health monitoring, smart medical, and other functions. Wearable physical sensors are an important part of wearable electronics. They can sense various physical signals from the human body or the surrounding environment and convert them into electrical signals for processing and analysis. Nanowires (NW) have unique properties such as a high surface-to-volume ratio, high flexibility, high carrier mobility, a tunable bandgap, a large piezoresistive coefficient, and a strong light-matter interaction. They are one of the ideal candidates for the fabrication of wearable physical sensors with high sensitivity, fast response, and low power consumption. In this review, we summarize recent advances in various types of NW-based wearable physical sensors, specifically including mechanical, photoelectric, temperature, and multifunctional sensors. The discussion revolves around the structural design, sensing mechanisms, manufacture, and practical applications of these sensors, highlighting the positive role that NWs play in the sensing process. Finally, we present the conclusions with perspectives on current challenges and future opportunities in this field.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.