Qiumei Shi
- Economics and Econometrics top 10%
- Strategy and Management
- Environmental Engineering
- Marketing top 10%
- Global and Planetary Change
- Co-authors
- Kaisheng DiQuanling CaiWeidong ChenJin HuTiansheng SunMuhammad IrfanMingxing WangDongli Li
- Topics
- Energy, Environment, Economic Growth (4 papers)Salmonella and Campylobacter epidemiology (3 papers)Food Safety and Hygiene (2 papers)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Qiumei Shi
10 papers receiving 337 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Economics and Econometrics 143
- Strategy and Management 51
- Environmental Engineering 50
- Marketing 49
- Global and Planetary Change 47
Countries citing papers authored by Qiumei Shi
This map shows the geographic impact of Qiumei Shi'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 Qiumei Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiumei Shi more than expected).
Fields of papers citing papers by Qiumei Shi
This network shows the impact of papers produced by Qiumei Shi. 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 Qiumei Shi. The network helps show where Qiumei Shi may publish in the future.
Co-authorship network of co-authors of Qiumei Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Qiumei Shi. A scholar is included among the top collaborators of Qiumei Shi 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 Qiumei Shi. Qiumei Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 24 | |
| 3 | Digital empowerment and win-win co-operation for green and low-carbon industrial development: Analysis of regional differences based on GMM-ANN intelligence modelsbreakdown → | 78 |
| 4 | 33 | |
| 5 | 22 | |
| 6 | Analysing the impact of coupled domestic demand dynamics of green and low-carbon consumption in the market based on SEM-ANNbreakdown → | 53 |
| 7 | 4 | |
| 8 | Regional unevenness and synergy of carbon emission reduction in China's green low-carbon circular economybreakdown → | 110 |
| 9 | 14 | |
| 10 | 2 | |
| 11 | 5 |
About Qiumei Shi
Qiumei Shi is a scholar working on Business and International Management, Development and Food Science, having authored 11 papers that have together received 345 indexed citations. Recurring topics across this work include Energy, Environment, Economic Growth (4 papers), Salmonella and Campylobacter epidemiology (3 papers) and Food Safety and Hygiene (2 papers). The work is most often cited by research in Chemical Health and Safety (4 citations), Marketing (49 citations) and Economics and Econometrics (143 citations). Qiumei Shi has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Kaisheng Di, Quanling Cai, Weidong Chen, Jin Hu, Tiansheng Sun, Muhammad Irfan, Mingxing Wang, Dongli Li, Tianyi Zhang and Tong Zhao. Their work appears in journals such as PLoS ONE, Journal of Cleaner Production and Frontiers in Microbiology.
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.