Piyu Yue

502 citations
11 papers · 207 indexed · h-index 7
Topics
Efficiency Analysis Using DEA (2 papers)Monetary Policy and Economic Impact (2 papers)Advanced Statistical Methods and Models (1 paper)
Journals
Macroeconomic DynamicsDIAL (Catholic University of Leuven)RePEc: Research Papers in Economics
Partner nations
United States

In The Last Decade

Piyu Yue

10 papers receiving 185 citations

Peers

Piyu Yue
Comparison fields: 5 of 36
  • Management Science and Operations Research 124
  • Economics and Econometrics 111
  • Finance 81
  • General Economics, Econometrics and Finance 50
  • Accounting 44
Replace Ila M. Semenick Alam with:
Ila M. Semenick Alam United States
Daniel Stavárek Czechia
Dominik Wolff Germany
Mark Van Achter Netherlands
Benoît Chevalier‐Roignant France
José Renato Haas Ornelas Brazil
Jesús G. Garza-García Mexico
Rochester H. Cahan New Zealand
Gourishankar S. Hiremath India
Alper Özün United Kingdom
Piyu Yue relative to Ila M. Semenick Alam United States Ila M. Semenick Alam's profile →
Citations per field
00.5×1.5×2.3×
Ila M. Semenick Alam · 1×
Citations per year

Countries citing papers authored by Piyu Yue

Since Specialization
Citations

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

Fields of papers citing papers by Piyu Yue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piyu Yue

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 25
2
A Microeconometric Approach to Estimating Money Demand: The Asymptotically Ideal Model
1
3 7
4
Comparative Performance of Global Semiconductor Companies
49
5 6
6 3
7 77
8 26
9 0
10 11
11
Two essays on economic analyses
2

About Piyu Yue

Piyu Yue is a scholar working on General Economics, Econometrics and Finance, Finance and Management Science and Operations Research, having authored 11 papers that have together received 207 indexed citations. Recurring topics across this work include Efficiency Analysis Using DEA (2 papers), Monetary Policy and Economic Impact (2 papers) and Advanced Statistical Methods and Models (1 paper). The work is most often cited by research in Management Science and Operations Research (124 citations), Finance (81 citations) and General Economics, Econometrics and Finance (50 citations). Piyu Yue has collaborated with scholars based in United States. Frequent co-authors include George Kozmetsky, Daniel L. Thornton, William A. Barnett and Melvin J. Hinich. Their work appears in journals such as Macroeconomic Dynamics, DIAL (Catholic University of Leuven) and RePEc: Research Papers in 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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