Changsu Song

625 citations
7 papers · 451 indexed · 1 hit paper · h-index 5
Topics
Land Use and Ecosystem Services (5 papers)Conservation, Biodiversity, and Resource Management (4 papers)Economic and Environmental Valuation (2 papers)

In The Last Decade

Changsu Song

7 papers receiving 433 citations

Hit Papers

Using gross ecosystem product (GEP) to value nature in de...20202026202220242020100200300

Peers

Changsu Song
Comparison fields: 5 of 54
  • Global and Planetary Change 369
  • Economics and Econometrics 126
  • Management, Monitoring, Policy and Law 98
  • Ecology 88
  • Health, Toxicology and Mutagenesis 50
Replace Tianci Gu with:
Tianci Gu China
徐卫华 XU Weihua China
肖燚 Xiao Yi China
Sipei Pan China
Dan Seddon United Kingdom
Min Fan China
Eshetu Yirsaw Ethiopia
Yingmei Wu China
Bhopal Pandeya United Kingdom
Changsu Song relative to Tianci Gu China Tianci Gu's profile →
Citations per field
00.5×10×16.4×
Tianci Gu · 1×
Citations per year

Countries citing papers authored by Changsu Song

Since Specialization
Citations

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

Fields of papers citing papers by Changsu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changsu Song

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 4
2 1
3 2
4 37
5 50
6
Using gross ecosystem product (GEP) to value nature in decision makingbreakdown →
342
7 15

About Changsu Song

Changsu Song is a scholar working on Global and Planetary Change, Health, Toxicology and Mutagenesis and Pollution, having authored 7 papers that have together received 451 indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (5 papers), Conservation, Biodiversity, and Resource Management (4 papers) and Economic and Environmental Valuation (2 papers). The work is most often cited by research in Global and Planetary Change (369 citations), Management, Monitoring, Policy and Law (98 citations) and Economics and Econometrics (126 citations). Changsu Song has collaborated with scholars based in China, Netherlands and United Kingdom. Frequent co-authors include Zhiyun Ouyang, Yi Xiao, Ziying Zou, Yang Xiao, Ian J. Bateman, Hua Zheng, Mary Ruckelshaus, Stephen Polasky, Jianguo Liu and Weihua Xu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Sustainability.

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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