Chenchen Song

976 citations
57 papers · 621 · 1 hit paper · h-index 13

Impact in

Papers in

Chenchen Song

52 papers receiving 616 citations

Chenchen Song's Hit Papers

Economic growth and environmental pollution in China: New evidence from government work reports 2023 · 102 citations
1020+1+2Years since publication255075100

Peers

Chenchen Song
Comparison fields: 5 of 117
  • Environmental Engineering 114
  • Renewable Energy, Sustainability and the Environment 112
  • Economics and Econometrics 150
  • Energy Engineering and Power Technology 15
  • Pollution 43
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Chenchen Song relative to Andreas Tuerk Austria Andreas Tuerk's profile →
Citations per field
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Andreas Tuerk · 1×
Citations per year

Countries citing papers authored by Chenchen Song

Since Specialization
Citations

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

Fields of papers citing papers by Chenchen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chenchen Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chenchen Song Line = papers co-authored together Chenchen Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Economic growth and environmental pollution in China: New evidence from government work reports
Hit paper breakdown →
2023102
2 202367
3 202267
4 202337
5 202431
6 202224
7 202222
8 202420
9 202420
10 202117
11 202416
12 202514
13 202413
14 202312
15 202111
16 20259
17 20179
18 20238
19 20208
20 20248

About Chenchen Song

Chenchen Song is a scholar working on Renewable Energy, Sustainability and the Environment, Economics and Econometrics, Electrical and Electronic Engineering, Health, Toxicology and Mutagenesis and Mechanical Engineering, having authored 57 papers that have together received 621 indexed citations. Recurring topics across this work include Energy, Environment, Economic Growth (9 papers), Air Quality and Health Impacts (6 papers), Energy and Environment Impacts (6 papers), Solar Radiation and Photovoltaics (5 papers), Photovoltaic System Optimization Techniques (4 papers), Energy, Environment, and Transportation Policies (4 papers), Environmental Impact and Sustainability (4 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Environmental Engineering (114 citations), Renewable Energy, Sustainability and the Environment (112 citations), Economics and Econometrics (150 citations), Energy Engineering and Power Technology (15 citations) and Pollution (43 citations). Chenchen Song has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Zhengguang Liu, Haoran Zhang, Yongze Yu, Ke Li, Zhiling Guo, Congyu Zhao, Meng Yuan, Ran Liu, Wen‐Long Shang and Qi Chen. Their work appears in journals such as Journal of Cleaner Production, Ecotoxicology and Environmental Safety, Urban forestry & urban greening, Renewable Energy and Journal of Chromatography A.

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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