ReviewSensors (Basel, Switzerland)2019
Structure-Property Relationships in Graphene-Based Strain and Pressure Sensors for Potential Artificial Intelligence Applications.
Review in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- From imaging enhancement to surgical autonomy: the evolutionary role of nanotechnology in AI-driven robotic surgery.Discover nano · 2026Review
- Flexible Strain Sensors Based on Printing Technology: Conductive Inks, Substrates, Printability, and Applications.Materials (Basel, Switzerland) · 2025Review
- A broad range and piezoresistive flexible pressure sensor based on carbon nanotube network dip-coated porous elastomer sponge.RSC advances · 2022Article
- Review
- Graphene-based strain sensor with sandwich structure and its application in bowel sounds monitoring.RSC advances · 2022Article
- Ultrasensitive and Regenerative Transistor Sensor Based on Dynamic Covalent Chemistry.Sensors (Basel, Switzerland) · 2022Article
- Digitized Construction of Iontronic Pressure Sensor with Self-Defined Configuration and Widely Regulated Performance.Sensors (Basel, Switzerland) · 2022Article
- Design Rules for a Wearable Micro-Fabricated Piezo-Resistive Pressure Sensor.Micromachines · 2022Article
- Quantifying the Piezoresistive Mechanism in High-Performance Printed Graphene Strain Sensors.ACS applied materials & interfaces · 2022Article
- Predictive Maintenance and Intelligent Sensors in Smart Factory: Review.Sensors (Basel, Switzerland) · 2021Review
- Sensing Deformation in Vacuum Driven Foam-Based Actuator via Inductive Method.Frontiers in robotics and AI · 2021Article
- Evolving Strategies for Producing Multiscale Graphene-Enhanced Fiber-Reinforced Polymer Composites for Smart Structural Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020Review
- Directional Response of Randomly Dispersed Carbon Nanotube Strain Sensors.Sensors (Basel, Switzerland) · 2020Article
- In vitro and in vivo Biological Responses to Graphene and Graphene Oxide: A Murine Calvarial Animal Study.International journal of nanomedicine · 2020Article
- Heat dissipation in quasi-ballistic single-atom contacts at room temperature.Scientific reports · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Wearable electronic sensing devices are deemed to be a crucial technology of smart personal electronics. Strain and pressure sensors, one of the most popular research directions in recent years, are the key components of smart and flexible electronics. Graphene, as an advanced nanomaterial, exerts pre-eminent characteristics including high electrical conductivity, excellent mechanical properties, and flexibility. The above advantages of graphene provide great potential for applications in mechatronics, robotics, automation, human-machine interaction, etc.: graphene with diverse structures and leverages, strain and pressure sensors with new functionalities. Herein, the recent progress in graphene-based strain and pressure sensors is presented. The sensing materials are classified into four structures including 0D fullerene, 1D fiber, 2D film, and 3D porous structures. Different structures of graphene-based strain and pressure sensors provide various properties and multifunctions in crucial parameters such as sensitivity, linearity, and hysteresis. The recent and potential applications for graphene-based sensors are also discussed, especially in the field of human motion detection. Finally, the perspectives of graphene-based strain and pressure sensors used in human motion detection combined with artificial intelligence are surveyed. Challenges such as the biocompatibility, integration, and additivity of the sensors are discussed as well.
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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.