Stephen Jia Wang

Prof. Stephen Jia Wang

The Hong Kong Polytechnic University, Hong Kong
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
18 September 2018 in ACS Nano
Verified
Journal Article
Open access
Yan WangYan Wang
Yan Wang
Shu GongShu Gong
Shu Gong
SWStephen Jia Wang
Stephen Jia Wang
XYXinyi Yang
Xinyi Yang
YLYunzhi Ling
Yunzhi Ling
Wenlong ChengWenlong Cheng
Wenlong Cheng
Stretchable electronics may enable electronic components to be part of our organs—ideal for future wearable/implantable biodiagnostic systems. One of key challenges is failure of the soft/rigid material interface due to mismatching Young’s moduli, which limits stretchability and durability of current systems. Here, we show that standing enokitake-like gold-nanowire-based films chemically bonded to an elastomer can be stretched up to 900% and are highly durable, with >93% conductivity recovery even after 2000 stretching/releasing cycles to 800% strain. Both experimental and modeling reveal that this superior elastic property originates from standing enokitake-like nanowire film structures. The closely packed nanoparticle layer sticks to the top of the nanowires, which easily cracks under strain, whereas the bottom part of the nanowires is compliant with substrate deformation. This leads to tiny V-shaped cracks with a maintained electron transport pathway rather than large U-shaped cracks that are frequently observed for conventional metal films. We further show that our standing nanowire films can serve as current collectors in supercapacitors and second skin-like smart masks for facial expression detection.

1 February 2021 in Advanced Functional Materials
Verified
Journal Article
Closed access
PDF file
KWKaixuan Wang
Kaixuan Wang
LYLim Wei Yap
Lim Wei Yap
SGShu Gong
Shu Gong
RWRen Wang
Ren Wang
SWStephen Jia Wang
Stephen Jia Wang
Wenlong ChengWenlong Cheng
Wenlong Cheng

12 January 2016 in Materials Horizons
Verified
Journal Article
Closed access
PDF file
Yan WangYan Wang
Yan Wang
Shu GongShu Gong
Shu Gong
SWStephen Jia Wang
Stephen Jia Wang
GSGeorge P. Simon
George P. Simon
Wenlong ChengWenlong Cheng
Wenlong Cheng
Non-volatile and flow properties of ionic liquids allow for simple ‘fill and seal’ approach to fabricate high-performance wearable sensors without materials delamination or cracking.

3 February 2025 in Design Studies
Verified
Journal Article
Closed access
CFCong Fang
Cong Fang
YZYujie Zhu
Yujie Zhu
LFLe Fang
Le Fang
YLYonghao Long
Yonghao Long
HLHuan Lin
Huan Lin
SWStephen Jia Wang
Stephen Jia Wang

24 May 2024 in Journal of Medical Internet Research
Verified
Journal Article
Open access
YZYujie Zhu
Yujie Zhu
YLYonghao Long
Yonghao Long
Hailiang WangHailiang Wang
Hailiang Wang
KLKun Pyo Lee
Kun Pyo Lee
LZLie Zhang
Lie Zhang
SWStephen Jia Wang
Stephen Jia Wang
Background: With the development of emerging technologies, digital behavior change interventions (DBCIs) help to maintain regular physical activity in daily life. Objective: To comprehensively understand the design implementations of habit formation techniques in current DBCIs, a systematic review was conducted to investigate the implementations of behavior change techniques, types of habit formation techniques, and design strategies in current DBCIs. Methods: The process of this review followed the PRISMA (Preferred Reporting Item for Systematic Reviews and Meta-Analyses) guidelines. A total of 4 databases were systematically searched from 2012 to 2022, which included Web of Science, Scopus, ACM Digital Library, and PubMed. The inclusion criteria encompassed studies that used digital tools for physical activity, examined behavior change intervention techniques, and were written in English. Results: A total of 41 identified research articles were included in this review. The results show that the most applied behavior change techniques were the self-monitoring of behavior, goal setting, and prompts and cues. Moreover, habit formation techniques were identified and developed based on intentions, cues, and positive reinforcement. Commonly used methods included automatic monitoring, descriptive feedback, general guidelines, self-set goals, time-based cues, and virtual rewards. Conclusions: A total of 32 commonly design strategies of habit formation techniques were summarized and mapped to the proposed conceptual framework, which was categorized into target-mediated (generalization and personalization) and technology-mediated interactions (explicitness and implicitness). Most of the existing studies use the explicit interaction, aligning with the personalized habit formation techniques in the design strategies of DBCIs. However, implicit interaction design strategies are lacking in the reviewed studies. The proposed conceptual framework and potential solutions can serve as guidelines for designing strategies aimed at habit formation within DBCIs.

22 August 2016 in Nanoscale
Verified
Journal Article
Closed access
PDF file
NJNaveen N. Jason
Naveen N. Jason
SWStephen Jia Wang
Stephen Jia Wang
SBSushrut Bhanushali
Sushrut Bhanushali
Wenlong ChengWenlong Cheng
Wenlong Cheng
This work demonstrates a facile “paint-on” approach to fabricate highly stretchable and highly sensitive strain sensors by combining one-dimensional copper nanowire networks with two-dimensional graphite microflakes. This paint-on approach allows for the fabrication of electronic skin (e-skin) patches which can directly replicate with high fidelity the human skin surface they are on, regardless of the topological complexity. This leads to high accuracy for detecting biometric signals for applications in personalised wearable sensors. The copper nanowires contribute to high stretchability and the graphite flakes offer high sensitivity, and their hybrid coating offers the advantages of both. To understand the topological effects on the sensing performance, we utilized fractal shaped elastomeric substrates and systematically compared their stretchability and sensitivity. We could achieve a high stretchability of up to 600% and a maximum gauge factor of 3000. Our simple yet efficient paint-on approach enabled facile fine-tuning of sensitivity/stretchability simply by adjusting ratios of 1D vs. 2D materials in the hybrid coating, and the topological structural designs. This capability leads to a wide range of biomedical sensors demonstrated here, including pulse sensors, prosthetic hands, and a wireless ankle motion sensor.