World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
52
Citations
10054
World Ranking
3633
National Ranking
1064

Overview

Zhong-Ren Peng is affiliated with the University of Florida in the United States, focusing primarily on Environmental Science and Engineering. Their body of work spans 124 publications in Environmental Science and 75 in Engineering, with significant contributions to several subfields including Health, Toxicology and Mutagenesis, Automotive Engineering, Environmental Engineering, Transportation, and Atmospheric Science.

Their research extensively covers key topics such as Air Quality and Health Impacts, Vehicle Emissions and Performance, Air Quality Monitoring and Forecasting, Atmospheric Chemistry and Aerosols, Transportation Planning and Optimization, Urban Transport and Accessibility, as well as Disaster Management and Resilience.

Peng has published multiple papers in well-regarded venues. Frequent publication venues include:

  • Building and Environment
  • Atmospheric Pollution Research
  • Environmental Pollution
  • Transportation Research Part D Transport and Environment
  • SSRN Electronic Journal

Selected recent papers illustrate the breadth of their research interests and collaborations:

  • "Evaluation and prediction of transportation resilience under extreme weather events: A diffusion graph convolutional approach" (2020), published in Transportation Research Part C Emerging Technologies
  • "Impact of the COVID-19 lockdown on roadside traffic-related air pollution in Shanghai, China" (2021), published in Building and Environment
  • "Real-time spatiotemporal prediction and imputation of traffic status based on LSTM and Graph Laplacian regularized matrix factorization" (2021), published in Transportation Research Part C Emerging Technologies
  • "Characterizing carbon emissions from China V and China VI gasoline vehicles based on portable emission measurement systems" (2022), published in Journal of Cleaner Production
  • "Spatiotemporal variations of carbon dioxide (CO2) at Urban neighborhood scale: Characterization of distribution patterns and contributions of emission sources" (2021), published in Sustainable Cities and Society

Peng frequently collaborates with several researchers, including:

  • Hong-di He
  • Kai-Fa Lu
  • Xiaobing Li
  • Hongwei Wang
  • Xing-hang Zhu

Best Publications

  • Internet GIS: Distributed Geographic Information Services for the Internet and Wireless Networks

    Zhong-Ren Peng;J. G. Speight

  • Urban Transport Trends and Policies in China and India: Impacts of Rapid Economic Growth

    John Pucher;Zhong-Ren Peng;Neha Mittal;Yi Zhu

  • Trip-Based Optimal Power Management of Plug-in Hybrid Electric Vehicles

    Qiuming Gong;Yaoyu Li;Zhong-Ren Peng

  • The Jobs-Housing Balance and Urban Commuting

    Zhong-Ren Peng

  • Transit Mobility, Jobs Access and Low-income Labour Participation in US Metropolitan Areas

    Thomas W. Sanchez;Qing Shen;Zhong-Ren Peng

  • A land use regression application into assessing spatial variation of intra-urban fine particulate matter (PM2.5) and nitrogen dioxide (NO2) concentrations in City of Shanghai, China.

    Chao Liu;Barron H. Henderson;Dongfang Wang;Xinyuan Yang

  • Beyond Word2vec: An approach for urban functional region extraction and identification by combining Place2vec and POIs

    Wei Zhai;Xueyin Bai;Yu Shi;Yu Han

  • Exploring the spatial variation of ridesourcing demand and its relationship to built environment and socioeconomic factors with the geographically weighted Poisson regression

    Haitao Yu;Zhong-Ren Peng;Zhong-Ren Peng

  • Internet GIS for public participation

    Zhong-Ren Peng

  • Transport and public health in China: the road to a healthy future

    Baoguo Jiang;Song Liang;Zhong-Ren Peng;Zhong-Ren Peng;Haozhe Cong

  • Using Global Positioning System Data to Understand Variations in Path Choice

    Oliver Jan;Alan J Horowitz;Zhong-Ren Peng

  • The roles of geography markup language (GML), scalable vector graphics (SVG), and Web feature service (WFS) specifications in the development of Internet geographic information systems (GIS)

    Zhong-Ren Peng;Chuanrong Zhang

  • DESIGN AND DEVELOPMENT OF INTERACTIVE TRIP PLANNING FOR WEB-BASED TRANSIT INFORMATION SYSTEMS

    Zhong Ren Peng;Ruihong Huang

  • A study of vertical distribution patterns of PM2.5 concentrations based on ambient monitoring with unmanned aerial vehicles: A case in Hangzhou, China

    Zhong-Ren Peng;Zhong-Ren Peng;Dongsheng Wang;Zhanyong Wang;Ya Gao

  • Dynamic bus travel time prediction models on road with multiple bus routes

    Cong Bai;Zhong-Ren Peng;Qing-Chang Lu;Jian Sun

  • Evaluation and prediction of transportation resilience under extreme weather events: A diffusion graph convolutional approach

    Hong-Wei Wang;Zhong-Ren Peng;Dongsheng Wang;Yuan Meng

  • Space charge measurement in LPDE films under temperature gradient and DC stress

    X Chen;X Wang;K Wu;Z R Peng

  • Optimal power management of plug-in HEV with intelligent transportation system

    Qiuming Gong;Yaoyu Li;Zhong-Ren Peng

  • Power management of plug-in hybrid electric vehicles using neural network based trip modeling

    Qiuming Gong;Yaoyu Li;Zhongren Peng

  • Vulnerability Analysis of Transportation Network Under Scenarios of Sea Level Rise

    Qing-Chang Lu;Qing-Chang Lu;Zhong-Ren Peng

  • Characterizing carbon emissions from China V and China VI gasoline vehicles based on portable emission measurement systems

    Unknown

  • Motorist Response to Arterial Variable Message Signs

    Zhong-Ren Peng;Nathan Guequierre;Joseph C. Blakeman

  • Trip Based Power Management of Plug-in Hybrid Electric Vehicle with Two-Scale Dynamic Programming

    Qiuming Gong;Yaoyu Li;Zhong-Ren Peng

  • A methodology for design of a GIS-based automatic transit traveler information system

    Zhong-Ren Peng

  • Ontology-Based Geospatial Data Query and Integration

    Tian Zhao;Chuanrong Zhang;Mingzhen Wei;Zhong-Ren Peng

  • Trip based optimal power management of plug-in hybrid electric vehicles using gas-kinetic traffic flow model

    Qiuming Gong;Yaoyu Li;Zhong-Ren Peng

Frequent Co-Authors

Qingyan Fu
Qingyan Fu Fudan University
John Pucher
John Pucher Rutgers, The State University of New Jersey
Tingzhen Ming
Tingzhen Ming Wuhan University of Technology
Ye Wu
Ye Wu Tsinghua University
Shaojun Zhang
Shaojun Zhang Tsinghua University
Arthur C. Nelson
Arthur C. Nelson University of Arizona

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