Mengdi Gu

456 citations
16 papers · 358 · h-index 10

Impact in

Papers in

Mengdi Gu

16 papers receiving 347 citations

Peers

Mengdi Gu
Comparison fields: 5 of 118
  • Statistics, Probability and Uncertainty 60
  • Finance 77
  • Demography 78
  • Management Science and Operations Research 74
  • Economics and Econometrics 89
Replace Pablo Marshall with:
Pablo Marshall Chile
Mustapha Belkhouja France
Vadim V. Ponkratov Russia
Chao-Chan Wu Taiwan
David Kernohan United Kingdom
Susanne Thorwarth Germany
Ahmed Bani‐Mustafa Kuwait
José Willer do Prado Brazil
Eberhard Feess Germany
Juan Pedro Aznar Spain
Mengdi Gu relative to Pablo Marshall Chile Pablo Marshall's profile →
Citations per field
00.5×10×15.6×
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Citations per year

Countries citing papers authored by Mengdi Gu

Since Specialization
Citations

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

Fields of papers citing papers by Mengdi Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Mengdi Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mengdi Gu Line = papers co-authored together Mengdi Gu links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201089
2 201365
3 201557
4 201439
5 201225
6 201417
7 201615
8 202212
9 202211
10 20209
11 20149
12 20134
13 20242
14
Feature Report on China: A Bibliometric Analysis of China-Related Articles
20152
15
On control strategy and process of pollution abatement investment in the condition of emission trading
20081
16 20161

About Mengdi Gu

Mengdi Gu is a scholar working on Economics and Econometrics, Demography, Management Science and Operations Research, Statistics, Probability and Uncertainty and Finance, having authored 16 papers that have together received 358 indexed citations. Recurring topics across this work include Insurance and Financial Risk Management (4 papers), Insurance, Mortality, Demography, Risk Management (4 papers), scientometrics and bibliometrics research (3 papers), Stochastic processes and financial applications (2 papers), Climate Change Policy and Economics (2 papers), Safety and Risk Management (1 paper), Municipal Solid Waste Management (1 paper) and International Development and Aid (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (60 citations), Finance (77 citations), Demography (78 citations), Management Science and Operations Research (74 citations) and Economics and Econometrics (89 citations). Mengdi Gu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Weishu Liu, Guangyuan Hu, Shoude Li, Yipeng Yang, Li Tang, Philip Shapira, Huchang Liao, Chao Li, Junqi Zhu and Zhijun Peng. Their work appears in journals such as Scientometrics, International Journal of Production Economics, Sustainability, Journal of Colloid and Interface Science and Insurance Mathematics and Economics.

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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