Duo Li

Duo Li

University of Cambridge

H-index: 15

Europe-United Kingdom

About Duo Li

Duo Li, With an exceptional h-index of 15 and a recent h-index of 12 (since 2020), a distinguished researcher at University of Cambridge, specializes in the field of Transportation Engineering.

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

Detection and analysis of transfer time in urban rail transit system using WIFI data

Mitigating urban motorway congestion and emissions via active traffic management

Investigating impacts of COVID-19 on urban mobility and emissions

Optimizing systemic redundancy of traffic sensor networks while maintaining resilience: New evidence from using graph learning

Imagination-augmented reinforcement learning framework for variable speed limit control

A revised video vision transformer for traffic estimation with fleet trajectories

Spatiotemporal attention-based graph convolution network for segment-level traffic prediction

Undocumented migrants reintroducing COVID-19, Yunnan Province, China

Duo Li Information

University

Position

___

Citations(all)

542

Citations(since 2020)

436

Cited By

297

hIndex(all)

15

hIndex(since 2020)

12

i10Index(all)

18

i10Index(since 2020)

14

Email

University Profile Page

University of Cambridge

Google Scholar

View Google Scholar Profile

Duo Li Skills & Research Interests

Transportation Engineering

Top articles of Duo Li

Title

Journal

Author(s)

Publication Date

Detection and analysis of transfer time in urban rail transit system using WIFI data

Transportation Letters

Li Yan

Nan Si-Rui

Guo Yue

Zhu Cai-Hua

Li Duo

2023/8/9

Mitigating urban motorway congestion and emissions via active traffic management

Research in Transportation Business & Management

Duo Li

Joan Lasenby

2023/6/1

Investigating impacts of COVID-19 on urban mobility and emissions

Cities

Duo Li

Joan Lasenby

2023/4/1

Optimizing systemic redundancy of traffic sensor networks while maintaining resilience: New evidence from using graph learning

IEEE Systems Journal

Junqing Tang

Shufen Wei

Duo Li

Xiaowei Li

2023/3/30

Imagination-augmented reinforcement learning framework for variable speed limit control

IEEE Transactions on Intelligent Transportation Systems

Duo Li

Joan Lasenby

2023/9/27

A revised video vision transformer for traffic estimation with fleet trajectories

IEEE Sensors Journal

Duo Li

Joan Lasenby

2022/8/1

Spatiotemporal attention-based graph convolution network for segment-level traffic prediction

IEEE Transactions on Intelligent Transportation Systems

Duo Li

Joan Lasenby

2021/5/26

Undocumented migrants reintroducing COVID-19, Yunnan Province, China

Emerging infectious diseases

Meiling Zhang

Jienan Zhou

Senquan Jia

Xiaonan Zhao

Yaoyao Chen

...

2021/5

A review of low-carbon measurements and transition pathway of transport sector in China

YUAN Zhi-Yi

LI Zhen-Yu

KANG Li-Ping

TAN Xiao-Yu

ZHOU Xin-Jun

...

2021/1/30

Learning the superpixel in a non-iterative and lifelong manner

Lei Zhu

Qi She

Bin Zhang

Yanye Lu

Zhilin Lu

...

2021

Unifying nonlocal blocks for neural networks

Lei Zhu

Qi She

Duo Li

Yanye Lu

Xuejing Kang

...

2021

Improving motorway mobility and environmental performance via vehicle trajectory data-based control

IEEE Access

Yifei Zhao

Shunchao Yin

Duo Li

Qian Yu

Prakash Ranjitkar

2020/5/6

A novel approach for mixed manual/connected automated freeway traffic management

Sensors

Duo Li

Peter Wagner

2020/3/22

An enhanced motorway control system for mixed manual/automated traffic flow

IEEE Systems Journal

Duo Li

Xiangmo Zhao

Peng Cao

2020/3/12

A self-scheduling strategy of virtual power plant with electric vehicles considering margin indexes

Archives of Electrical Engineering

Fengshun Jiao

Yongsheng Deng

Duo Li

Bo Wei

Chengyan Yue

...

2020

See List of Professors in Duo Li University(University of Cambridge)