Wen‐Ya Chang

558 citations
59 papers · 375 indexed · h-index 11
Topics
Fiscal Policy and Economic Growth (29 papers)Monetary Policy and Economic Impact (23 papers)Economic theories and models (20 papers)
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Wen‐Ya Chang

44 papers receiving 326 citations

Peers

Wen‐Ya Chang
Comparison fields: 5 of 62
  • Economics and Econometrics 277
  • General Economics, Econometrics and Finance 98
  • Endocrinology 58
  • Accounting 41
  • Finance 23
Replace Takeshi Kimura with:
Takeshi Kimura Japan
Markus Kirchner Germany
Alexei Karas Netherlands
R. Prabhakar Rao India
Eugene Beaulieu Canada
Patricia S. Pollard United States
Olusegun Ayodele Akanbi South Africa
John Devereux United States
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Citations per field
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Citations per year

Countries citing papers authored by Wen‐Ya Chang

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Ya Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Ya Chang. 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 Wen‐Ya Chang. The network helps show where Wen‐Ya Chang may publish in the future.

Co-authorship network of co-authors of Wen‐Ya Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Ya Chang. A scholar is included among the top collaborators of Wen‐Ya Chang 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 Wen‐Ya Chang. Wen‐Ya Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 1
3 2
4 2
5 60
6 20
7 11
8 0
9 2
10 2
11
Government Spending and Real Interest Rate in an Open Economy
0
12 11
13 3
14 0
15
Tax Evasion and Efficient Bargains
3
16 5
17 1
18
Tax Evasion and Tax Collections: An Aggregate Demand-Aggregate Supply Analysis
6
19 0
20 0

About Wen‐Ya Chang

Wen‐Ya Chang is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Finance, having authored 59 papers that have together received 375 indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (29 papers), Monetary Policy and Economic Impact (23 papers) and Economic theories and models (20 papers). The work is most often cited by research in General Economics, Econometrics and Finance (98 citations), Endocrinology (58 citations) and Economics and Econometrics (277 citations). Wen‐Ya Chang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Ching‐chong Lai, Juin‐jen Chang, Cheng‐Hsun Chiu, Chishih Chu, Lin‐Hui Su, Ping Wang, Ying-An Chen, Hsiu‐Yun Lee, Wenfang Liu and Kuo‐Hao Lee. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Development Economics and Economica.

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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