Binzhen Wu

1.5k citations
34 papers · 991 · h-index 14

Impact in

Papers in

Binzhen Wu

32 papers receiving 964 citations

Peers

Binzhen Wu
Comparison fields: 5 of 88
  • Economics and Econometrics 389
  • Demography 163
  • Finance 121
  • Safety Research 99
  • General Economics, Econometrics and Finance 88
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Douglas Webber United States
Matthias Schündeln Germany
Kaveh Majlesi Sweden
Horst Entorf Germany
Justina A. V. Fischer Germany
Nick Adnett United Kingdom
Holger Bonin Germany
Ashwini Deshpande India
Djavad Salehi‐Isfahani United States
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Citations per field
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Citations per year

Countries citing papers authored by Binzhen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Binzhen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Binzhen Wu, 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 Binzhen Wu Line = papers co-authored together Binzhen Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012194
2 2017157
3 2013105
4 201191
5 201180
6 201574
7 201253
8 201433
9 201533
10 201530
11 202021
12 201521
13 201317
14 201116
15 201413
16 20158
17 20117
18 20225
19
An Empirical Study of Household Educational Expenditure Burden in Urban China
20124
20 20104

About Binzhen Wu

Binzhen Wu is a scholar working on Economics and Econometrics, Sociology and Political Science, Political Science and International Relations, Demography and Education, having authored 34 papers that have together received 991 indexed citations. Recurring topics across this work include Global Educational Reforms and Inequalities (6 papers), Fiscal Policy and Economic Growth (6 papers), School Choice and Performance (5 papers), Financial Literacy, Pension, Retirement Analysis (5 papers), Intergenerational and Educational Inequality Studies (4 papers), Income, Poverty, and Inequality (4 papers), China's Socioeconomic Reforms and Governance (4 papers) and Higher Education Research Studies (4 papers). The work is most often cited by research in Economics and Econometrics (389 citations), Demography (163 citations), Finance (121 citations), Safety Research (99 citations) and General Economics, Econometrics and Finance (88 citations). Binzhen Wu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Hongbin Li, Xinzheng Shi, Chong‐En Bai, Prashant Loyalka, Scott Rozelle, Yanyan Xiong, Hongbin Li, Li Lei, Hongbin Li and Lingsheng Meng. Their work appears in journals such as Journal of Comparative Economics, Games and Economic Behavior, The China Quarterly, The Journal of Economic Perspectives and The Journal of Human Resources.

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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