Liang Ma

National University of Defense Technology

H-index: 74

Asia-China

About Liang Ma

Liang Ma, With an exceptional h-index of 74 and a recent h-index of 53 (since 2020), a distinguished researcher at National University of Defense Technology, specializes in the field of Agent-Based Modeling and Simulation, Evacuation simulation, Optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

Data driven analysis of the desired speed in ordinary differential equation based pedestrian simulation models

A crowd-aided vehicular hybrid sensing framework for intelligent transportation systems

Risk Assessment of the Impact of Toxic Gas on the Moving Humans: A Multi-agent Based Simulation Approach

Simulation of pedestrian route choice with local view: A potential field approach

Liang Ma Information

University	National University of Defense Technology
Position	___
Citations(all)	17187
Citations(since 2020)	9901
Cited By	70
hIndex(all)	74
hIndex(since 2020)	53
i10Index(all)	235
i10Index(since 2020)	198
Email	Access Email
University Profile Page	National University of Defense Technology
Google Scholar	View Google Scholar Profile

Liang Ma Skills & Research Interests

Agent-Based Modeling and Simulation

Evacuation simulation

Optimization

Top articles of Liang Ma

Title	Journal	Author(s)	Publication Date
Data driven analysis of the desired speed in ordinary differential equation based pedestrian simulation models	Physica A: Statistical Mechanics and its Applications	Liang Ma Bin Chen Lidong Chen Xiaoping Xu Sikai Liu ...	2022/12/15
A crowd-aided vehicular hybrid sensing framework for intelligent transportation systems	IEEE Transactions on Intelligent Vehicles	Zhengqiu Zhu Yong Zhao Bin Chen Sihang Qiu Zhong Liu ...	2022/10/21
Risk Assessment of the Impact of Toxic Gas on the Moving Humans: A Multi-agent Based Simulation Approach		Liang Ma Xiaoping Xu Bin Chen Xiaocheng Liu Sikai Liu ...	2022/8/17
Simulation of pedestrian route choice with local view: A potential field approach	Applied Mathematical Modelling	Pei-Yang Wu Ren-Yong Guo Liang Ma Bin Chen Junjie Wu ...	2021/4/1