Wang-Sheng Lee

480 citations
22 papers · 310 · h-index 9

Impact in

Papers in

Wang-Sheng Lee

22 papers receiving 296 citations

Peers

Wang-Sheng Lee
Comparison fields: 5 of 77
  • Pharmacy 27
  • Gender Studies 39
  • Demography 49
  • Health 28
  • Economics and Econometrics 68
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Alfredo R. Paloyo Australia
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Anna Sanz‐de‐Galdeano Spain
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Citations per field
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Citations per year

Countries citing papers authored by Wang-Sheng Lee

Since Specialization
Citations

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

Fields of papers citing papers by Wang-Sheng Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Wang-Sheng Lee, 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 Wang-Sheng Lee Line = papers co-authored together Wang-Sheng Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201272
2 201751
3 201346
4 201742
5 201919
6 201813
7 202313
8 201612
9 20138
10
Analysis of private returns to vocational education and training
20108
11 20074
12
Analysis of Private Returns to Vocational Education and Training: Support Document.
20103
13 20233
14 20223
15
Analysis of Private Returns to Vocational Education and Training. A National Vocational Education and Training Research and Evaluation Program Report.
20102
16 20172
17
Measuring the quality of VET using the Student Outcomes Survey
20102
18 20192
19 20112
20 20221

About Wang-Sheng Lee

Wang-Sheng Lee is a scholar working on Sociology and Political Science, Economics and Econometrics, Demography, Social Psychology and Education, having authored 22 papers that have together received 310 indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (6 papers), Education Systems and Policy (4 papers), Attachment and Relationship Dynamics (3 papers), Family Dynamics and Relationships (3 papers), Intergenerational Family Dynamics and Caregiving (3 papers), Corruption and Economic Development (2 papers), Income, Poverty, and Inequality (2 papers) and Urban Transport and Accessibility (2 papers). The work is most often cited by research in Pharmacy (27 citations), Gender Studies (39 citations), Demography (49 citations), Health (28 citations) and Economics and Econometrics (68 citations). Wang-Sheng Lee has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Marco Caliendo, Terra McKinnish, Cahit Guven, Robert Mahlstedt, Asad Islam, Michael Coelli, Umut Oguzoglu, Cathrine Mihalopoulos, Marie‐Paule Austin and Georgina Chambers. Their work appears in journals such as Economics & Human Biology, The Journal of Development Studies, Administration and Policy in Mental Health and Mental Health Services Research, China Economic Review and Journal of Population 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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