Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 243

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Human–Machine Interfacing Enabled by Triboelectric Nanogenerators and Tribotronics

Ding, Wenbo, Wang, Aurelia C., Wu, Changsheng, Guo, Hengyu, Wang, Zhong Lin·2019·Advanced Materials Technologies

Abstract

With the advances of artificial intelligence (AI), autonomous robotics, virtual reality (VR) and Internet of things (IoT), an intelligent and ubiquitous human–machine interfacing (HMI) ecosystem has become a desire and attracted lots of interests. Triboelectric nanogenerators (TENG), as a natural and effective mechanical‐to‐electrical signal conversion technology, have been successfully utilized to realize many types of HMI, including smart keyboards, body motion sensors, the electronic skin, voice sensors, the triboelectrification‐induced electroluminescence, and the artificial muscle. Meanwhile, tribotronics, as the coupling field of TENG and semiconductors, has demonstrated the feasibility for tactile switch or sensing with the possibilities of high integration and large scale. The fundamental theory of TENG and tribotronics is revisited herein. In addition, the definition of HMI and, for the first time, the research progress of the TENG and tribotronics enabled HMI are systematically and thoroughly reviewed. Finally, the perspectives in this emerging field are also discussed.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/admt.201800487

Cites

12 of 12 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 12 references

Cited by

Metadata

Authors
Ding, W., Wang, A. C., Wu, C., Guo, H., & Wang, Z. L.
Venue
Advanced Materials Technologies
Publisher
Wiley
Published
2018-11-28
Volume
4
Issue
1
ISSN
2365-709X (ISSN-L)
OpenAlex
W2902546013
Cited by
243
References
12
FWCI
9.44
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Human–Machine Interfacing Enabled by Triboelectric Nanogenerators and Tribotronics. https://app.cochat.ai/papers/10.1002/admt.201800487
The paper
Ding, W., Wang, A. C., Wu, C., Guo, H., & Wang, Z. L. (2019). Human–Machine Interfacing Enabled by Triboelectric Nanogenerators and Tribotronics. Advanced Materials Technologies. https://doi.org/10.1002/admt.201800487

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.