Renjin Sun

3.6k total citations · 3 hit papers
41 papers, 3.0k citations indexed

About

Renjin Sun is a scholar working on Economics and Econometrics, Renewable Energy, Sustainability and the Environment and Environmental Engineering. According to data from OpenAlex, Renjin Sun has authored 41 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Economics and Econometrics, 24 papers in Renewable Energy, Sustainability and the Environment and 22 papers in Environmental Engineering. Recurrent topics in Renjin Sun's work include Energy, Environment, Economic Growth (27 papers), Environmental Impact and Sustainability (22 papers) and Energy, Environment, and Transportation Policies (21 papers). Renjin Sun is often cited by papers focused on Energy, Environment, Economic Growth (27 papers), Environmental Impact and Sustainability (22 papers) and Energy, Environment, and Transportation Policies (21 papers). Renjin Sun collaborates with scholars based in China, United States and United Kingdom. Renjin Sun's co-authors include Kangyin Dong, Gal Hochman, Hui Li, Hong-Dian Jiang, Hua Liao, Xiucheng Dong, Xiangang Zeng, Yaqing Zhang, Hui Li and Cong Dong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and The Science of The Total Environment.

In The Last Decade

Renjin Sun

39 papers receiving 3.0k citations

Hit Papers

CO2 emissions, economic and population growth, and renewa... 2017 2026 2020 2023 2018 2017 2018 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
Renjin Sun China 20 2.4k 1.6k 1.1k 653 257 41 3.0k
Qingzhe Jiang China 27 2.0k 0.8× 1.3k 0.8× 825 0.7× 805 1.2× 185 0.7× 82 3.2k
Kais Saidi Tunisia 22 3.1k 1.3× 2.2k 1.4× 946 0.8× 1.0k 1.6× 286 1.1× 35 3.7k
Yuhuan Zhao China 31 2.1k 0.9× 1.0k 0.6× 1.4k 1.2× 337 0.5× 194 0.8× 92 2.8k
Hong-Dian Jiang China 22 1.6k 0.7× 873 0.6× 877 0.8× 376 0.6× 168 0.7× 35 2.2k
Junbing Huang China 32 2.2k 0.9× 1.1k 0.7× 1.1k 0.9× 373 0.6× 271 1.1× 65 2.7k
Brantley Liddle Australia 29 2.9k 1.2× 1.8k 1.2× 1.3k 1.1× 468 0.7× 388 1.5× 86 3.5k
Valerie J. Karplus United States 31 1.8k 0.8× 1.1k 0.7× 1.0k 0.9× 276 0.4× 471 1.8× 100 3.3k
Mehdi Ben Jebli Tunisia 30 3.7k 1.5× 2.5k 1.6× 1.2k 1.0× 1.2k 1.9× 197 0.8× 56 4.1k
Xiaoling Ouyang China 30 2.6k 1.1× 1.3k 0.9× 1.5k 1.4× 371 0.6× 309 1.2× 46 3.5k
Zhijie Jia China 30 2.4k 1.0× 1.3k 0.9× 1.1k 1.0× 185 0.3× 134 0.5× 60 3.4k

Countries citing papers authored by Renjin Sun

Since Specialization
Citations

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

Fields of papers citing papers by Renjin Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renjin Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Renjin Sun. A scholar is included among the top collaborators of Renjin Sun 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 Renjin Sun. Renjin Sun 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.
Li, Huihui, et al.. (2024). How does technological progress affect low carbon economic growth? Evidence from regional heterogeneity in China. Environmental Science and Pollution Research. 31(24). 35498–35518. 1 indexed citations
2.
Sun, Renjin, et al.. (2022). The mechanism of renewable energy consumption, technological innovation and carbon productivity—an empirical study of Chinese data. Environmental Science and Pollution Research. 30(8). 20673–20687. 11 indexed citations
3.
Sun, Renjin, et al.. (2022). Does the use of renewable energy increase carbon productivity? ——An empirical analysis based on data from 30 provinces in China. Journal of Cleaner Production. 365. 132647–132647. 47 indexed citations
4.
Sun, Renjin, et al.. (2022). Does Fiscal Decentralization Promote or Inhibit the Improvement of Carbon Productivity? Empirical Analysis Based on China’s Data. Frontiers in Environmental Science. 10. 11 indexed citations
6.
Sun, Renjin, et al.. (2021). Impact of renewable energy power generation share on Germany’s electricity prices. 资源科学. 43(8). 1562–1573.
7.
Sun, Renjin, et al.. (2021). The evolution characteristics and influence factors of carbon productivity in China’s industrial sector: from the perspective of embodied carbon emissions. Environmental Science and Pollution Research. 28(36). 50611–50622. 31 indexed citations
8.
Sun, Renjin, et al.. (2019). Increasing stringent regional environmental regulations impact gasoline demand in China. Energy Procedia. 158. 3572–3575. 2 indexed citations
9.
Dong, Kangyin, Renjin Sun, Hui Li, & Hua Liao. (2018). Does natural gas consumption mitigate CO2 emissions: Testing the environmental Kuznets curve hypothesis for 14 Asia-Pacific countries. Renewable and Sustainable Energy Reviews. 94. 419–429. 242 indexed citations
10.
Dong, Kangyin, Renjin Sun, & Xiucheng Dong. (2018). CO2 emissions, natural gas and renewables, economic growth: Assessing the evidence from China. The Science of The Total Environment. 640-641. 293–302. 316 indexed citations
11.
Dong, Kangyin, Hong-Dian Jiang, Renjin Sun, & Xiucheng Dong. (2018). Driving forces and mitigation potential of global CO2 emissions from 1980 through 2030: Evidence from countries with different income levels. The Science of The Total Environment. 649. 335–343. 115 indexed citations
12.
Dong, Kangyin, Renjin Sun, Gal Hochman, & Hui Li. (2018). Energy intensity and energy conservation potential in China: A regional comparison perspective. Energy. 155. 782–795. 132 indexed citations
13.
Dong, Kangyin, et al.. (2018). Spatial econometric analysis of China’s PM10 pollution and its influential factors: Evidence from the provincial level. Ecological Indicators. 96. 317–328. 48 indexed citations
14.
Dong, Kangyin, et al.. (2018). The growth and development of natural gas supply chains: The case of China and the US. Energy Policy. 123. 64–71. 30 indexed citations
15.
Li, Hui, et al.. (2017). Sustainability Assessment of Refining Enterprises Using a DEA-Based Model. Sustainability. 9(4). 620–620. 20 indexed citations
16.
Li, Hui, et al.. (2016). Assessing Risk in Chinese Shale Gas Investments Abroad: Modelling and Policy Recommendations. Sustainability. 8(8). 708–708. 20 indexed citations
17.
Dong, Kangyin, Renjin Sun, Hui Li, & Hong-Dian Jiang. (2016). A review of China’s energy consumption structure and outlook based on a long-range energy alternatives modeling tool. Petroleum Science. 14(1). 214–227. 105 indexed citations
18.
Sun, Renjin & Zhenjie Wang. (2015). A comprehensive environmental impact assessment method for shale gas development. Natural Gas Industry B. 2(2-3). 203–210. 14 indexed citations
19.
Shi, Xiaogang, et al.. (2014). CPFD simulation of solids residence time and back-mixing in CFB risers. Powder Technology. 271. 16–25. 60 indexed citations
20.
Dong, Xiucheng, et al.. (2010). Design of artificial neural networks using a genetic algorithm to predict saturates of vacuum gas oil. Petroleum Science. 7(1). 118–122. 20 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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