Nian Zhang

Dr. Nian Zhang

School of Engineering & Applied Sciences, University of the District of Columbia, 4200 Connecticut Ave, NW, Washington, DC 20008, USA

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

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

Representative Publications

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1 March 2022 in Neural Networks
Verified
Journal Article
Closed access
LCLiyang Chen
Liyang Chen
ZYZhiyuan You
Zhiyuan You
NZNian Zhang
Nian Zhang
JXJuntong Xi
Juntong Xi
XLXinyi Le
Xinyi Le

27 February 2007 in Neurocomputing
Verified
Journal Article
Closed access
XCXindi Cai
Xindi Cai
NZNian Zhang
Nian Zhang
GVGanesh Kumar Venayagamoorthy
Ganesh Kumar Venayagamoorthy
DWDonald C. Wunsch
Donald C. Wunsch

8 November 2017 in Sports
Verified
Journal Article
Open access
PDF file
LTLara Thompson
Lara Thompson
MBMehdi Badache
Mehdi Badache
SCSteven Cale
Steven Cale
LBLonika Behera
Lonika Behera
NZNian Zhang
Nian Zhang
Static balance has a relevant influence on athletic performance as well as on reducing the risk of injury. The main goal of this study was to assess soccer athlete versus non-athlete balance performance via displacement and velocity parameters extracted from the center-of-pressure (COP) position time series. In order to accomplish our goal, we investigated standing balance in two male groups with unimpaired balance: non-athletes (n = 12) and collegiate varsity soccer athletes (n = 12). In order to make the standing balancing task more or less difficult, we altered participant base-of-support, as well as vision, yielding static (quiet stance) test conditions increasing in difficulty. From the COP position time series, displacement and velocity parameters were computed and plotted as a function of increasing test condition difficulty level. COP parameters showed steeper increases with increased test difficulty in non-athletes compared to athletes; this demonstrated athletes’ better ability to control their balance. We concluded that balance performance could be characterized via COP displacement and velocity response curves. This study lends new insights into how COP parameters can be utilized to determine and characterize improvements in balance between un-impaired subject populations (athletes versus non-athletes).

1 July 2016 in Neurocomputing
Verified
Journal Article
Closed access
NZNian Zhang
Nian Zhang
DSDevdas Shetty
Devdas Shetty

1 March 2022 in Knowledge-Based Systems
Verified
Journal Article
Closed access
XZXitao Zou
Xitao Zou
SWSong Wu
Song Wu
NZNian Zhang
Nian Zhang
EBErwin M. Bakker
Erwin M. Bakker

1 July 2021 in Neural Networks
Verified
Journal Article
Closed access
ZKZelong Kong
Zelong Kong
NZNian Zhang
Nian Zhang
XGXinping Guan
Xinping Guan
XLXinyi Le
Xinyi Le