Shunfeng Song

4.1k total citations · 1 hit paper
96 papers, 3.0k citations indexed

About

Shunfeng Song is a scholar working on Economics and Econometrics, Sociology and Political Science and Transportation. According to data from OpenAlex, Shunfeng Song has authored 96 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Economics and Econometrics, 17 papers in Sociology and Political Science and 16 papers in Transportation. Recurrent topics in Shunfeng Song's work include Regional Economics and Spatial Analysis (15 papers), Fiscal Policy and Economic Growth (15 papers) and Energy, Environment, Economic Growth (13 papers). Shunfeng Song is often cited by papers focused on Regional Economics and Spatial Analysis (15 papers), Fiscal Policy and Economic Growth (15 papers) and Energy, Environment, Economic Growth (13 papers). Shunfeng Song collaborates with scholars based in United States, China and Australia. Shunfeng Song's co-authors include Kenneth A. Small, Kevin Honglin Zhang, Zhuo Chen, Yu Qian, Zhigang Lü, Jun Liu, Liang Liu, Shuanglin Lin, Yanyan Gao and Zhenhua Zhang and has published in prestigious journals such as Journal of Political Economy, Journal of Cleaner Production and Journal of Environmental Management.

In The Last Decade

Shunfeng Song

86 papers receiving 2.7k citations

Hit Papers

Rural–urban migration and... 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shunfeng Song United States 25 1.5k 610 558 377 359 96 3.0k
Matthew A. Turner United States 22 1.9k 1.3× 946 1.6× 370 0.7× 437 1.2× 617 1.7× 53 3.2k
James P. LeSage United States 11 3.4k 2.3× 428 0.7× 510 0.9× 437 1.2× 327 0.9× 22 4.3k
Ahmed Mushfiq Mobarak United States 28 1.6k 1.1× 414 0.7× 1.0k 1.8× 369 1.0× 191 0.5× 88 4.1k
Henry G. Overman United Kingdom 29 2.4k 1.6× 444 0.7× 454 0.8× 305 0.8× 371 1.0× 82 3.3k
Somik V. Lall United States 28 1.5k 1.0× 322 0.5× 465 0.8× 173 0.5× 513 1.4× 109 2.6k
Kingsley E. Haynes United States 27 1.2k 0.8× 911 1.5× 431 0.8× 175 0.5× 864 2.4× 156 2.8k
Marianne Fay United States 24 1.3k 0.9× 117 0.2× 577 1.0× 391 1.0× 197 0.5× 54 3.1k
Matthew E. Kahn United States 34 2.7k 1.8× 1.0k 1.7× 1.3k 2.3× 420 1.1× 135 0.4× 116 4.8k
Geoffrey J. D. Hewings United States 38 3.6k 2.5× 585 1.0× 451 0.8× 342 0.9× 824 2.3× 295 5.3k
Weizeng Sun China 22 1.0k 0.7× 361 0.6× 194 0.3× 126 0.3× 324 0.9× 61 1.7k

Countries citing papers authored by Shunfeng Song

Since Specialization
Citations

This map shows the geographic impact of Shunfeng 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 Shunfeng Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shunfeng Song more than expected).

Fields of papers citing papers by Shunfeng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shunfeng 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 Shunfeng Song. The network helps show where Shunfeng Song may publish in the future.

Co-authorship network of co-authors of Shunfeng Song

This figure shows the co-authorship network connecting the top 25 collaborators of Shunfeng Song. A scholar is included among the top collaborators of Shunfeng 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 Shunfeng Song. Shunfeng Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Song, Shunfeng, et al.. (2025). China’s Pairing Poverty Alleviation Program: Insights from Xinjiang. 14(1). 22–41.
2.
Song, Shunfeng, et al.. (2025). Beyond the Tables: Measuring the Impact of Non-Gaming Diversification on Casino Profitability in Macau. Tourism and Hospitality. 6(2). 91–91.
3.
Song, Shunfeng, et al.. (2024). Does high-speed rail complement or substitute other transportation modes? City-level evidence from China. Research in Transportation Business & Management. 59. 101250–101250. 2 indexed citations
4.
Jun, Liu, et al.. (2023). Does industrial symbiotic agglomeration reduce pollution emissions: evidence from eco-industrial demonstration parks in China. Environmental Science and Pollution Research. 30(51). 111441–111458. 3 indexed citations
5.
Zhang, Zhenhua, Guoxing Zhang, Shuai Shao, et al.. (2023). The pollution control effect of the atmospheric environmental policy in autumn and winter: Evidence from the daily data of Chinese cities. Journal of Environmental Management. 343. 118164–118164. 50 indexed citations
6.
Gao, Yanyan, et al.. (2023). Do Backbone High-Speed Rails Widen the North-South Gap in China?. Chinese Economy. 57(2). 83–101.
7.
Zhang, Zhenhua, et al.. (2023). Climate policy uncertainty and corporate investment efficiency: evidence from China. Journal of Environmental Planning and Management. 1–21. 32 indexed citations
8.
Wu, Xianhua, Ji Guo, & Shunfeng Song. (2023). Influence of international trade disputes on the world industrial economic system based on inoperability input-output model. International Review of Economics & Finance. 86. 787–803. 15 indexed citations
9.
Jun, Liu, et al.. (2022). Industrial symbiotic agglomeration and green economic growth: A spatial difference-in-differences approach. Journal of Cleaner Production. 364. 132560–132560. 30 indexed citations
10.
Gao, Yanyan, et al.. (2021). High‐speed rail and city tourism: Evidence from Tencent migration big data on two Chinese golden weeks. Growth and Change. 53(3). 1012–1036. 12 indexed citations
11.
Liu, Jun, Liang Liu, Yu Qian, & Shunfeng Song. (2021). The effect of artificial intelligence on carbon intensity: Evidence from China's industrial sector. Socio-Economic Planning Sciences. 83. 101002–101002. 173 indexed citations
12.
Zhang, Zhenhua, Guoxing Zhang, Shunfeng Song, & Bin Su. (2020). Spatial Heterogeneity Influences of Environmental Control and Informal Regulation on Air Pollutant Emissions in China. International Journal of Environmental Research and Public Health. 17(13). 4857–4857. 28 indexed citations
13.
Gao, Yanyan, et al.. (2019). Does high‐speed rail connection really promote local economy? Evidence from China’s Yangtze River Delta. Review of Development Economics. 24(1). 316–338. 56 indexed citations
14.
Song, Shunfeng. (2015). Should China Implement Congestion Pricing?. Chinese Economy. 48(1). 57–67. 8 indexed citations
15.
Zheng, Xinye, Feng Song, Yihua Yu, & Shunfeng Song. (2015). In Search of Fiscal Interactions: A Spatial Analysis ofChinese Provincial Infrastructure Spending. Review of Development Economics. 19(4). 860–876. 6 indexed citations
16.
Tian, Xiaowen, Vai Io Lo, Shuanglin Lin, & Shunfeng Song. (2011). Cross-region FDI productivity spillovers in transition economies: evidence from China. Post-Communist Economies. 23(1). 105–118. 14 indexed citations
17.
Zheng, Shi, Zhigang Wang, H. Holly Wang, & Shunfeng Song. (2010). Do Nutrition and Health Affect Migrant Workers' Incomes? Some Evidence from Beijing, China. China & World Economy. 18(5). 105–124. 8 indexed citations
18.
Rozelle, Scott, et al.. (2006). China’s rural economy and the path to a modern industrial state. China Economic Quarterly. 270–298. 6 indexed citations
19.
Song, Shunfeng. (1998). Home buyers' characteristics and selling prices. Applied Economics Letters. 5(1). 11–14. 9 indexed citations
20.
Song, Shunfeng, et al.. (1995). Spatial structure and urban commuting. Transportation Research Part A Policy and Practice. 29(1). 79–79. 5 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.

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