Sheng Dai

1.1k total citations · 2 hit papers
19 papers, 846 citations indexed

About

Sheng Dai is a scholar working on Economics and Econometrics, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Sheng Dai has authored 19 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Economics and Econometrics, 5 papers in Management Science and Operations Research and 5 papers in Statistics and Probability. Recurrent topics in Sheng Dai's work include Energy, Environment, Economic Growth (6 papers), Statistical Methods and Inference (5 papers) and Advanced Statistical Methods and Models (4 papers). Sheng Dai is often cited by papers focused on Energy, Environment, Economic Growth (6 papers), Statistical Methods and Inference (5 papers) and Advanced Statistical Methods and Models (4 papers). Sheng Dai collaborates with scholars based in Finland, China and United Kingdom. Sheng Dai's co-authors include Jinhua Cheng, Jiahui Yi, Yan Xiong, Jinhua Cheng, Jun Chen, Timo Kuosmanen, Xinyue Ye, Xun Zhou, Yehua Dennis Wei and Yuemin Ning and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and European Journal of Operational Research.

In The Last Decade

Sheng Dai

16 papers receiving 833 citations

Hit Papers

Can low-carbon city construction facilitate green growth?... 2019 2026 2021 2023 2019 2023 100 200 300

Peers

Sheng Dai
Comparison fields: 5 of 76
  • Economics and Econometrics 614
  • Environmental Engineering 219
  • Marketing 174
  • Renewable Energy, Sustainability and the Environment 146
  • Strategy and Management 138
Replace Yu Qian with:
Yu Qian China
Jianhong Cao China
Zhengnan Lu China
Zhengning Pu China
An Pan China
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Citations per field, relative to Sheng Dai
Sheng Dai · 1×
Citations per year, relative to Sheng Dai
Sheng Dai · 1×

Countries citing papers authored by Sheng Dai

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Dai

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 3
5 1
6
How does digital economy development affect renewable energy innovation? breakdown →
83
7 4
8 24
9 7
10 8
11 6
12 15
13 13
14 31
15
Can low-carbon city construction facilitate green growth? Evidence from China's pilot low-carbon city initiative breakdown →
374
16 28
17 165
18 17
19 67

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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