Wang Chun Wei
Impact in
- Finance top 5%
- Financial Markets and Investment Strategies
- Financial Risk and Volatility Modeling
- Information Systems top 2%
- Blockchain Technology Applications and Security
Papers in
-
- Complex Systems and Time Series Analysis 6
- Market Dynamics and Volatility 5
- Housing Market and Economics 1
- Finance 9
- Financial Markets and Investment Strategies 7
- Stochastic processes and financial applications 1
- Co-authors
- Quan Gan (3 shared papers)David Johnstone (3 shared papers)Alex Frino (2 shared papers)Dimitrios Koutmos (2 shared papers)Jacquelyn Humphrey (1 shared paper)Min Zhu (1 shared paper)
- Journals
- Economics Letters (2 papers)Quantitative Finance (1 paper)Pacific-Basin Finance Journal (1 paper)Finance research letters (1 paper)Review of Quantitative Finance and Accounting (1 paper)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Wang Chun Wei
10 papers receiving 410 citations
Wang Chun Wei's Hit Papers
Peers
Comparison fields: 5 of 40
- Finance 210
- Information Systems 286
- Economics and Econometrics 328
- Management Science and Operations Research 48
- Management Information Systems 31
Countries citing papers authored by Wang Chun Wei
This map shows the geographic impact of Wang Chun Wei'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 Chun Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Chun Wei more than expected).
Fields of papers citing papers by Wang Chun Wei
This network shows the impact of papers produced by Wang Chun Wei. 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 Chun Wei. The network helps show where Wang Chun Wei may publish in the future.
Co-authors
The 6 scholars most cited alongside Wang Chun Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Liquidity and market efficiency in cryptocurrencies Hit paper breakdown → | 2018 | 269 |
| 2 | 2018 | 92 | |
| 3 | 2015 | 27 | |
| 4 | 2013 | 13 | |
| 5 | 2020 | 8 | |
| 6 | 2017 | 5 | |
| 7 | 2023 | 4 | |
| 8 | 2013 | 1 | |
| 9 | 2012 | 1 | |
| 10 | 2015 | 1 | |
| 11 | 2024 | 0 | |
| 12 | 2018 | 0 |
About Wang Chun Wei
Wang Chun Wei is a scholar working on Economics and Econometrics, Finance, Information Systems, Management Science and Operations Research and Accounting, having authored 12 papers that have together received 421 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (7 papers), Complex Systems and Time Series Analysis (6 papers), Blockchain Technology Applications and Security (5 papers), Market Dynamics and Volatility (5 papers), Corporate Finance and Governance (2 papers), Stock Market Forecasting Methods (2 papers), Stochastic processes and financial applications (1 paper) and Housing Market and Economics (1 paper). The work is most often cited by research in Finance (210 citations), Information Systems (286 citations), Economics and Econometrics (328 citations), Management Science and Operations Research (48 citations) and Management Information Systems (31 citations). Wang Chun Wei has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Quan Gan, David Johnstone, Alex Frino, Dimitrios Koutmos, Jacquelyn Humphrey and Min Zhu. Their work appears in journals such as Economics Letters, Quantitative Finance, Pacific-Basin Finance Journal, Finance research letters and Review of Quantitative Finance and Accounting.
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.