Mi Dai

815 citations
21 papers · 453 · h-index 10

Impact in

Papers in

Mi Dai

16 papers receiving 439 citations

Peers

Mi Dai
Comparison fields: 5 of 42
  • General Economics, Econometrics and Finance 333
  • Strategy and Management 203
  • Economics and Econometrics 292
  • Development 29
  • Finance 49
Replace Andreas Waldkirch with:
Andreas Waldkirch United States
E. M. Ekanayake United States
Joel Rodrigue United States
Paolo Epifani Italy
Alfonso Irarrazabal Norway
Jacob Musila Canada
Emily J. Blanchard United States
Ina Simonovska United States
Koi Nyen Wong Malaysia
Shuichiro Nishioka United States
Mi Dai relative to Andreas Waldkirch United States Andreas Waldkirch's profile →
Citations per field
00.5×5.2×
Andreas Waldkirch · 1×
Citations per year

Countries citing papers authored by Mi Dai

Since Specialization
Citations

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

Fields of papers citing papers by Mi Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Mi Dai, 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 Mi Dai Line = papers co-authored together Mi Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016185
2 201352
3 202046
4 202135
5 201227
6 201725
7 202022
8 201721
9 202110
10 20119
11 20138
12 20186
13 20113
14 20162
15 20221
16 20131
17
Do Import Tariffs Help Reduce Trade Deficits
20180
18 20230
19 20230
20 20220

About Mi Dai

Mi Dai is a scholar working on General Economics, Econometrics and Finance, Strategy and Management, Economics and Econometrics, Finance and Development, having authored 21 papers that have together received 453 indexed citations. Recurring topics across this work include Global trade and economics (20 papers), International Business and FDI (11 papers), Global Financial Crisis and Policies (5 papers), Firm Innovation and Growth (3 papers), Fiscal Policy and Economic Growth (2 papers), Economic Growth and Productivity (2 papers), Global Trade and Competitiveness (2 papers) and International Development and Aid (2 papers). The work is most often cited by research in General Economics, Econometrics and Finance (333 citations), Strategy and Management (203 citations), Economics and Econometrics (292 citations), Development (29 citations) and Finance (49 citations). Mi Dai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Miaojie Yu, Yifan Zhang, Jianwei Xu, Wei Huang, Mary Amiti, John Romalis, Robert C. Feenstra, Francesco Nucci, Alberto Franco Pozzolo and Yongjin Wang. Their work appears in journals such as World Economy, Journal of Development Economics, Journal of International Economics, Journal of Economic Surveys and Journal of International Money and Finance.

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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