Matthew S. Yiu

672 total citations
29 papers, 428 citations indexed

About

Matthew S. Yiu is a scholar working on Economics and Econometrics, Finance and General Economics, Econometrics and Finance. According to data from OpenAlex, Matthew S. Yiu has authored 29 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Economics and Econometrics, 16 papers in Finance and 16 papers in General Economics, Econometrics and Finance. Recurrent topics in Matthew S. Yiu's work include Monetary Policy and Economic Impact (14 papers), Housing Market and Economics (12 papers) and Market Dynamics and Volatility (8 papers). Matthew S. Yiu is often cited by papers focused on Monetary Policy and Economic Impact (14 papers), Housing Market and Economics (12 papers) and Market Dynamics and Volatility (8 papers). Matthew S. Yiu collaborates with scholars based in Hong Kong, United Kingdom and United States. Matthew S. Yiu's co-authors include Jin Lü, Jun Yu, Stefan Gerlach, Wensheng Peng, Yin‐Wong Cheung, Andrew Tsang, Charles Ka Yui Leung, Yue Ma, John Hawkins and Guy Meredith and has published in prestigious journals such as Contemporary Economic Policy, Journal of the Japanese and International Economies and Applied Financial Economics.

In The Last Decade

Matthew S. Yiu

28 papers receiving 377 citations

Peers

Matthew S. Yiu
Comparison fields: 5 of 34
  • Economics and Econometrics 349
  • Finance 251
  • General Economics, Econometrics and Finance 165
  • Accounting 64
  • Urban Studies 29
Replace N. Kundan Kishor with:
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Jakob Christensen United States
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Dániel Holló Germany
Xuewen Liu Hong Kong
Chris Otrok United States
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Michela Scatigna Switzerland
N. Kundan Kishor United States View profile →
Citations per field, relative to Matthew S. Yiu
Matthew S. Yiu · 1×
Citations per year, relative to Matthew S. Yiu
Matthew S. Yiu · 1×

Countries citing papers authored by Matthew S. Yiu

Since Specialization
Citations

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

Fields of papers citing papers by Matthew S. Yiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew S. Yiu. 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 Matthew S. Yiu. The network helps show where Matthew S. Yiu may publish in the future.

Co-authorship network of co-authors of Matthew S. Yiu

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew S. Yiu. A scholar is included among the top collaborators of Matthew S. Yiu 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 Matthew S. Yiu. Matthew S. Yiu 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
# Work Indexed citations
1 6
2 2
3 13
4 2
5
Measuring economic integration: the case of Asian economies 1
2
6 11
7 4
8 3
9
House Market in Chinese Cities: Dynamic Modeling, In-Sampling Fitting and Out-of-Sample Forecasting
14
10 28
11 79
12 35
13 12
14 5
15 7
16
A Dynamic Factor Model for Current-Quarter Estimates of Economic Activity in Hong Kong
2
17 31
18 5
19 3
20
Real and effective exchange rates
4

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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