Can Cui

1.8k total citations · 2 hit papers
40 papers, 1.3k citations indexed

About

Can Cui is a scholar working on Environmental Engineering, Economics and Econometrics and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Can Cui has authored 40 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Environmental Engineering, 23 papers in Economics and Econometrics and 11 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Can Cui's work include Environmental Impact and Sustainability (23 papers), Energy, Environment, Economic Growth (19 papers) and Energy, Environment, and Transportation Policies (9 papers). Can Cui is often cited by papers focused on Environmental Impact and Sustainability (23 papers), Energy, Environment, Economic Growth (19 papers) and Energy, Environment, and Transportation Policies (9 papers). Can Cui collaborates with scholars based in China, United Kingdom and Netherlands. Can Cui's co-authors include Zhen Wang, Sha Peng, Dabo Guan, Yuli Shan, Jing Meng, Bofeng Cai, Shu Tao, Weichen Zhao, Daoping Wang and Xiang Yu and has published in prestigious journals such as Nature, Nature Communications and Journal of Cleaner Production.

In The Last Decade

Can Cui

37 papers receiving 1.2k citations

Hit Papers

Global iron and steel plant CO2 emissions and carbon-neut... 2023 2026 2024 2025 2023 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Can Cui China 18 566 537 258 252 131 40 1.3k
Yuru Guan China 17 926 1.6× 817 1.5× 253 1.0× 340 1.3× 191 1.5× 27 1.8k
Yadong Yu China 24 756 1.3× 558 1.0× 168 0.7× 266 1.1× 176 1.3× 67 1.7k
Xi Ji China 28 1.1k 2.0× 685 1.3× 230 0.9× 362 1.4× 189 1.4× 44 2.0k
Yoshikuni Yoshida Japan 22 728 1.3× 468 0.9× 170 0.7× 439 1.7× 101 0.8× 93 1.6k
Shantong Li China 23 874 1.5× 1.0k 1.9× 147 0.6× 334 1.3× 85 0.6× 82 1.6k
Zhili Ma China 19 550 1.0× 504 0.9× 192 0.7× 218 0.9× 121 0.9× 41 1.2k
Jingru Liu China 21 1.1k 2.0× 774 1.4× 278 1.1× 318 1.3× 218 1.7× 38 2.0k
Baihe Gu China 19 555 1.0× 472 0.9× 145 0.6× 280 1.1× 97 0.7× 41 1.2k
Theodoros Zachariadis Cyprus 25 504 0.9× 616 1.1× 248 1.0× 889 3.5× 102 0.8× 83 1.9k
Nina Khanna United States 23 1.1k 2.0× 744 1.4× 268 1.0× 562 2.2× 179 1.4× 44 2.2k

Countries citing papers authored by Can Cui

Since Specialization
Citations

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

Fields of papers citing papers by Can Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Can Cui. A scholar is included among the top collaborators of Can Cui 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 Can Cui. Can Cui 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.
Cheng, Danyang, Dabo Guan, Yuli Shan, et al.. (2025). Inclusive wealth growth pathways within the carbon peak target for Chinese cities. 2(4). 100335–100335.
3.
Hu, Xiangyun, et al.. (2025). Biogas and nutrient recovery potential: A spatially explicit analysis of China’s county-level livestock and poultry manure. Waste Management. 204. 114906–114906. 1 indexed citations
4.
Cheng, Danyang, David Reiner, Fan Yang, et al.. (2023). Projecting future carbon emissions from cement production in developing countries. Nature Communications. 14(1). 8213–8213. 173 indexed citations breakdown →
5.
Peng, H, Siyi Kan, Jing Meng, et al.. (2023). Emission accounting and drivers in South American countries. Applied Energy. 358. 122528–122528. 10 indexed citations
6.
Li, Shuping, Can Cui, Jing Meng, et al.. (2023). The heterogeneous driving forces behind carbon emissions change in 30 selective emerging economies. Patterns. 4(7). 100760–100760. 11 indexed citations
7.
Cui, Can, et al.. (2023). Energy-related CO 2 emission accounts and datasets for 40 emerging economies in 2010–2019. Earth system science data. 15(3). 1317–1328. 27 indexed citations
8.
Xu, Ruochong, Dan Tong, Qingyang Xiao, et al.. (2023). MEIC-global-CO2: A new global CO2 emission inventory with highly-resolved source category and sub-country information. Science China Earth Sciences. 67(2). 450–465. 32 indexed citations
9.
Yang, Bo, et al.. (2023). Research on the optimal allocation method of PV micro-grid energy storage capacity based on empirical modal decomposition. Journal of Physics Conference Series. 2503(1). 12013–12013. 2 indexed citations
10.
Cui, Can, Dabo Guan, Daoping Wang, et al.. (2022). Global mitigation efforts cannot neglect emerging emitters. National Science Review. 9(12). nwac223–nwac223. 9 indexed citations
11.
Liu, Binyuan, Yuru Guan, Yuli Shan, Can Cui, & Klaus Hubacek. (2022). Emission growth and drivers in Mainland Southeast Asian countries. Journal of Environmental Management. 329. 117034–117034. 24 indexed citations
12.
Wang, Xiao, Zhen Wang, Can Cui, & Liyuan Wei. (2020). Forward and backward critical sectors for CO2 emissions in China based on eigenvector approaches. Environmental Science and Pollution Research. 27(14). 16110–16120. 7 indexed citations
13.
Cui, Can, Yuli Shan, Jianghua Liu, et al.. (2019). CO2 emissions and their spatial patterns of Xinjiang cities in China. Applied Energy. 252. 113473–113473. 39 indexed citations
14.
Pu, Yang, Can Cui, Lixu Li, et al.. (2019). Carbon emissions in countries that failed to ratify the intended nationally determined contributions: A case study of Kyrgyzstan. Journal of Environmental Management. 255. 109892–109892. 21 indexed citations
15.
Wang, Zhen, Yanwen Wang, Sha Peng, et al.. (2019). Mapping the research of energy subsidies: a bibliometric analysis. Environmental Science and Pollution Research. 26(28). 28817–28828. 1 indexed citations
16.
Cui, Can, Zhen Wang, Pan He, et al.. (2019). Escaping from pollution: the effect of air quality on inter-city population mobility in China. Environmental Research Letters. 14(12). 124025–124025. 65 indexed citations
17.
Wang, Zhen, Can Cui, & Sha Peng. (2018). Critical sectors and paths for climate change mitigation within supply chain networks. Journal of Environmental Management. 226. 30–36. 40 indexed citations
18.
Zhang, Kun, et al.. (2017). Experimental study on decontamination of self-crushing decontamination fluid for radioactive dust removal on indoor wall surface. 37(3). 206–213. 1 indexed citations
19.
Cui, Can, et al.. (2017). Yiwu : la formation d’un cluster chinois. Revue d économie industrielle. 159. 139–158. 1 indexed citations
20.
Yücel, Seral, et al.. (2014). CASE STUDIES AND IMPLICATIONS OF CHEMICAL AND NON-CHEMICAL SOIL DISINFECTION METHODS IN TURKEY. Acta Horticulturae. 295–300. 4 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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