This map shows the geographic impact of Guohua Song's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Guohua Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guohua Song more than expected).
This network shows the impact of papers produced by Guohua Song. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Guohua Song. The network helps show where Guohua Song may publish in the future.
Co-authorship network of co-authors of Guohua Song
This figure shows the co-authorship network connecting the top 25 collaborators of Guohua Song.
A scholar is included among the top collaborators of Guohua Song based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Guohua Song. Guohua Song is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Song, Guohua, et al.. (2018). Development and Application of an Online Dynamic Emission Model for Traffic Networks: A Case Study of Beijing. Transportation Research Board 97th Annual MeetingTransportation Research Board.2 indexed citations
8.
Song, Guohua, et al.. (2016). GA-based approach to modeling operating mode distributions and estimating emissions.. China Environmental Science. 36(12). 3548–3559.1 indexed citations
9.
Song, Guohua, et al.. (2016). A Comparison and Modification of Car-Following Models for Emission Estimation. Transportation Research Board 95th Annual MeetingTransportation Research Board.6 indexed citations
Song, Guohua, Lei Yu, & Yizheng Wu. (2014). Development of Speed Correction Factors Based on Speed-Specific Vehicle-Specific Power Distributions for Urban Restricted-Access Roadways in Beijing. Transportation Research Board 93rd Annual MeetingTransportation Research Board.1 indexed citations
13.
Yu, Lei, et al.. (2014). Effect of Driving Behaviors on Emissions in Eco-driving at Intersections. Transportation Research Board 93rd Annual MeetingTransportation Research Board.2 indexed citations
14.
Yu, Lei, et al.. (2014). Emission Characteristics of Heavy-Duty Diesel Transit Buses at Intersections of Urban Area: Case Study in Beijing. Transportation Research Board 93rd Annual MeetingTransportation Research Board.2 indexed citations
15.
Song, Guohua, et al.. (2014). Delay Correction Model for Estimating Bus Emissions at Intersections Based on VSP Distributions. Transportation Research Board 93rd Annual MeetingTransportation Research Board.1 indexed citations
16.
Hao, Yanzhao, et al.. (2010). Analysis of Driving Behavior and Emission Characteristics for Diesel Transit Buses Using PEMS' Measurements. Transportation Research Board 89th Annual MeetingTransportation Research Board.12 indexed citations
17.
Song, Guohua. (2009). Development and Application of Macroscopic Emission Model. Journal of Transportation Systems Engineering and Information Technology.4 indexed citations
18.
Wang, Kun, et al.. (2009). Air ion concentration under different environmental conditions and its change mechanism.. Dongbei linye daxue xuebao. 37(1). 39–41.1 indexed citations
19.
Song, Guohua, et al.. (2008). A Practical Modeling Approach for Evaluation of Fuel Efficiency for Road Traffic. Transportation Research Board 87th Annual MeetingTransportation Research Board.4 indexed citations
20.
Song, Guohua. (2003). A Synthesis of Mobile Emission Evaluation Models.3 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.