Kun Sun

709 total citations
20 papers, 536 citations indexed

About

Kun Sun is a scholar working on Sociology and Political Science, Marketing and Environmental Engineering. According to data from OpenAlex, Kun Sun has authored 20 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Sociology and Political Science, 5 papers in Marketing and 5 papers in Environmental Engineering. Recurrent topics in Kun Sun's work include Environmental Sustainability in Business (5 papers), Digital Marketing and Social Media (4 papers) and Environmental Impact and Sustainability (3 papers). Kun Sun is often cited by papers focused on Environmental Sustainability in Business (5 papers), Digital Marketing and Social Media (4 papers) and Environmental Impact and Sustainability (3 papers). Kun Sun collaborates with scholars based in China, Denmark and Singapore. Kun Sun's co-authors include Da Liu, Han Huang, Ruyin Long, Hong Chen, Yumeng Liu, Qingqing Sun, Qianwen Li, Jinchen Liu, Qiance Liu and Lirong Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Journal of Cleaner Production.

In The Last Decade

Kun Sun

17 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Sun China 12 153 127 115 106 101 20 536
Hongyang Zou China 11 128 0.8× 66 0.5× 179 1.6× 122 1.2× 151 1.5× 22 661
Jijiang He China 8 243 1.6× 94 0.7× 185 1.6× 197 1.9× 200 2.0× 11 672
Liping Ding China 12 109 0.7× 28 0.2× 126 1.1× 126 1.2× 154 1.5× 26 587
Han Huang China 13 67 0.4× 31 0.2× 124 1.1× 64 0.6× 87 0.9× 20 508
Ling-Ling Pei China 14 418 2.7× 72 0.6× 199 1.7× 73 0.7× 106 1.0× 30 820
Tausif Ali Bangladesh 11 147 1.0× 51 0.4× 123 1.1× 97 0.9× 91 0.9× 23 530
Xiaopeng Guo China 15 251 1.6× 35 0.3× 259 2.3× 120 1.1× 150 1.5× 47 786
Konstantinos Koasidis Greece 17 148 1.0× 38 0.3× 219 1.9× 171 1.6× 132 1.3× 40 634
Deepak Sivaraman United States 10 134 0.9× 27 0.2× 55 0.5× 135 1.3× 261 2.6× 13 535
Andreas Tuerk Austria 15 193 1.3× 143 1.1× 256 2.2× 183 1.7× 106 1.0× 58 777

Countries citing papers authored by Kun Sun

Since Specialization
Citations

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

Fields of papers citing papers by Kun Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Sun. A scholar is included among the top collaborators of Kun 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 Kun Sun. Kun 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.
Sun, Kun, et al.. (2025). Modeling interior component stocks of UK housing using exterior features and machine learning techniques. Journal of Industrial Ecology. 29(4). 1293–1309.
2.
Huang, Han, Kun Sun, & Ruyin Long. (2025). Navigating sentiment dynamics in social media: The role of information characteristics in promoting green consumption across multiple domains. Environmental Impact Assessment Review. 112. 107840–107840. 8 indexed citations
3.
Huang, Han, Xiaomei Zeng, Kun Sun, & Yuanxin Wu. (2025). Environmental communication strategies in green consumption: spatiotemporal shifts across six domains revealed by social big data. Environment Development and Sustainability.
4.
Liu, Qiance, Kun Sun, Xiang Li, et al.. (2025). Spatiotemporal Characteristics of Global Building Material Intensity Revealed for Circular and Low-Carbon Construction. Environmental Science & Technology. 59(46). 24786–24795.
5.
Zhuang, Shunyao, Qiance Liu, Kun Sun, et al.. (2025). Tracking five decades of global sand and gravel stocks and flows in 184 countries. Resources Conservation and Recycling. 222. 108460–108460. 2 indexed citations
6.
Huang, Han, et al.. (2023). Examining public attitudes and perceptions of waste sorting in China through an urban heterogeneity lens: A social media analysis. Resources Conservation and Recycling. 199. 107233–107233. 18 indexed citations
7.
Huang, Han, Ruyin Long, Hong Chen, et al.. (2023). Why don't more people engage in green practices in China? A policy-oriented approach to promoting green transformation in five consumption areas. Environmental Impact Assessment Review. 101. 107099–107099. 45 indexed citations
8.
Wang, Changjiang, et al.. (2023). Material efficiency strategies across the industrial chain to secure indium availability for global carbon neutrality. Resources Policy. 85. 103895–103895. 8 indexed citations
9.
Huang, Han, Ruyin Long, Hong Chen, et al.. (2023). Do stakeholders have the same concerns about anti-food waste law in China? Using big data from social media. Environmental Impact Assessment Review. 100. 107071–107071. 12 indexed citations
10.
Cimpan, Ciprian, et al.. (2023). Tracking the post-1990 sociometabolic transitions in Eastern Europe with dynamic economy-wide material flow analysis. Resources Conservation and Recycling. 199. 107280–107280. 6 indexed citations
11.
Sun, Kun, et al.. (2023). The political economy and green innovation: A scientometric analysis. SHILAP Revista de lepidopterología. 3(2). 100116–100116. 22 indexed citations
12.
13.
Liu, Qiance, Kun Sun, Burak Sen, et al.. (2022). Tracking Three Decades of Global Neodymium Stocks and Flows with a Trade-Linked Multiregional Material Flow Analysis. Environmental Science & Technology. 56(16). 11807–11817. 33 indexed citations
14.
Liu, Da, Yumeng Liu, & Kun Sun. (2021). Policy impact of cancellation of wind and photovoltaic subsidy on power generation companies in China. Renewable Energy. 177. 134–147. 40 indexed citations
15.
Huang, Han, et al.. (2021). Exploring public attention about green consumption on Sina Weibo: Using text mining and deep learning. Sustainable Production and Consumption. 30. 674–685. 92 indexed citations
16.
Su, Bin, et al.. (2020). A social network analysis regarding electricity consumption and economic growth in China. Journal of Cleaner Production. 274. 122973–122973. 21 indexed citations
17.
Liu, Da & Kun Sun. (2019). Short-term PM2.5 forecasting based on CEEMD-RF in five cities of China. Environmental Science and Pollution Research. 26(32). 32790–32803. 38 indexed citations
18.
Liu, Da & Kun Sun. (2019). Random forest solar power forecast based on classification optimization. Energy. 187. 115940–115940. 144 indexed citations
19.
Liu, Da, Jinchen Liu, Han Huang, & Kun Sun. (2018). Analysis of the international polysilicon trade network. Resources Conservation and Recycling. 142. 122–130. 27 indexed citations
20.
Liu, Da, et al.. (2018). Monthly Load Forecasting Based on Economic Data by Decomposition Integration Theory. Sustainability. 10(9). 3282–3282. 12 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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