Wang Chun Wei
Impact in
- Finance top 5%
- Financial Markets and Investment Strategies
- Financial Risk and Volatility Modeling
- Information Systems top 5%
- Blockchain Technology Applications and Security
Papers in
- Finance 8
- Financial Markets and Investment Strategies 7
- Financial Risk and Volatility Modeling 1
-
- Complex Systems and Time Series Analysis 5
- Market Dynamics and Volatility 5
- Housing Market and Economics 1
- Co-authors
- Quan Gan (2 shared papers)David James Johnstone (2 shared papers)Alex Frino (1 shared paper)Dimitrios Koutmos (3 shared papers)Jacquelyn Humphrey (1 shared paper)Min Zhu (1 shared paper)
- Journals
- Economics Letters (2 papers)Financial Review (1 paper)Pacific-Basin Finance Journal (1 paper)Finance research letters (1 paper)Quantitative Finance (1 paper)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Wang Chun Wei
9 papers receiving 399 citations
Wang Chun Wei's Hit Papers
Peers
Comparison fields: 5 of 38
- Finance 196
- Information Systems 292
- Economics and Econometrics 319
- Management Science and Operations Research 45
- Management Information Systems 32
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 | 268 |
| 2 | 2018 | 90 | |
| 3 | 2015 | 25 | |
| 4 | 2013 | 10 | |
| 5 | 2020 | 7 | |
| 6 | 2017 | 5 | |
| 7 | 2023 | 4 | |
| 8 | 2015 | 2 | |
| 9 | Essays on Information Asymmetry and Price Impact in Market Microstructure | 2013 | 1 |
| 10 | 2023 | 0 | |
| 11 | 2024 | 0 |
About Wang Chun Wei
Wang Chun Wei is a scholar working on Finance, Economics and Econometrics, Information Systems, Accounting and Management Science and Operations Research, having authored 11 papers that have together received 412 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (7 papers), Complex Systems and Time Series Analysis (5 papers), Blockchain Technology Applications and Security (5 papers), Market Dynamics and Volatility (5 papers), Corporate Finance and Governance (2 papers), Housing Market and Economics (1 paper), Engineering and Test Systems (1 paper) and Financial Risk and Volatility Modeling (1 paper). The work is most often cited by research in Finance (196 citations), Information Systems (292 citations), Economics and Econometrics (319 citations), Management Science and Operations Research (45 citations) and Management Information Systems (32 citations). Wang Chun Wei has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Quan Gan, David James Johnstone, Alex Frino, Dimitrios Koutmos, Jacquelyn Humphrey and Min Zhu. Their work appears in journals such as Economics Letters, Financial Review, Pacific-Basin Finance Journal, Finance research letters and Quantitative Finance.
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.