Wang Chun Wei

575 total citations · 1 hit paper
11 papers, 411 citations indexed

About

Wang Chun Wei is a scholar working on Economics and Econometrics, Finance and Information Systems. According to data from OpenAlex, Wang Chun Wei has authored 11 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Economics and Econometrics, 9 papers in Finance and 5 papers in Information Systems. Recurrent topics in Wang Chun Wei's work include Financial Markets and Investment Strategies (7 papers), Complex Systems and Time Series Analysis (6 papers) and Blockchain Technology Applications and Security (5 papers). Wang Chun Wei is often cited by papers focused on Financial Markets and Investment Strategies (7 papers), Complex Systems and Time Series Analysis (6 papers) and Blockchain Technology Applications and Security (5 papers). Wang Chun Wei collaborates with scholars based in Australia, United States and Japan. Wang Chun Wei's co-authors include David Johnstone, Quan Gan, Alex Frino, Jacquelyn Humphrey, Dimitrios Koutmos and Min Zhu and has published in prestigious journals such as Economics Letters, Finance research letters and Pacific-Basin Finance Journal.

In The Last Decade

Wang Chun Wei

9 papers receiving 398 citations

Hit Papers

Liquidity and market efficiency in cryptocurrencies 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wang Chun Wei Australia 6 326 280 208 47 30 11 411
Niranjan Sapkota Finland 9 316 1.0× 288 1.0× 213 1.0× 50 1.1× 47 1.6× 24 434
Wenjun Feng China 4 271 0.8× 226 0.8× 140 0.7× 44 0.9× 18 0.6× 7 318
Jiří Švec Australia 9 237 0.7× 225 0.8× 199 1.0× 38 0.8× 38 1.3× 28 387
Maurice Omane‐Adjepong South Africa 10 287 0.9× 180 0.6× 134 0.6× 24 0.5× 16 0.5× 18 343
Khaled Guesmi France 6 536 1.6× 405 1.4× 186 0.9× 38 0.8× 16 0.5× 10 589
Imen Mbarki Russia 6 262 0.8× 110 0.4× 141 0.7× 37 0.8× 14 0.5× 6 312
Lai T. Hoang Australia 9 302 0.9× 231 0.8× 162 0.8× 28 0.6× 21 0.7× 31 399
Youcef Maouchi Qatar 5 366 1.1× 274 1.0× 140 0.7× 18 0.4× 27 0.9× 6 448
Sungbin Sohn China 10 254 0.8× 121 0.4× 185 0.9× 39 0.8× 13 0.4× 17 325
Ana M. Ibáñez Spain 9 406 1.2× 346 1.2× 274 1.3× 42 0.9× 28 0.9× 29 537

Countries citing papers authored by Wang Chun Wei

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Wang Chun Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Wang Chun Wei. A scholar is included among the top collaborators of Wang Chun Wei 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 Wang Chun Wei. Wang Chun Wei 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
1.
Wei, Wang Chun, Dimitrios Koutmos, & Min Zhu. (2024). Are Bitcoin option traders speculative or informed?. Finance research letters. 67. 105739–105739.
2.
Koutmos, Dimitrios & Wang Chun Wei. (2023). Nowcasting bitcoin’s crash risk with order imbalance. Review of Quantitative Finance and Accounting. 61(1). 125–154. 3 indexed citations
3.
Humphrey, Jacquelyn, et al.. (2020). Managerial rents vs. shareholder value in closed-end funds: Evidence from China. Pacific-Basin Finance Journal. 64. 101453–101453. 8 indexed citations
4.
Wei, Wang Chun, et al.. (2018). An Equilibrium Crypto-Token Valuation Model. SSRN Electronic Journal.
5.
Wei, Wang Chun. (2018). The impact of Tether grants on Bitcoin. Economics Letters. 171. 19–22. 88 indexed citations
6.
Wei, Wang Chun. (2018). Liquidity and market efficiency in cryptocurrencies. Economics Letters. 168. 21–24. 265 indexed citations breakdown →
7.
Gan, Quan, Wang Chun Wei, & David Johnstone. (2017). Does the Probability of Informed Trading Model Fit Empirical Data?. Financial Review. 52(1). 5–35. 5 indexed citations
8.
Gan, Quan, Wang Chun Wei, & David Johnstone. (2015). A faster estimation method for the probability of informed trading using hierarchical agglomerative clustering. Quantitative Finance. 15(11). 1805–1821. 27 indexed citations
9.
Gan, Quan, David Johnstone, & Wang Chun Wei. (2013). Cluster PIN: A New Estimation Method for the Probability of Informed Trading. SSRN Electronic Journal. 1 indexed citations
10.
Wei, Wang Chun, et al.. (2013). Informed Trading, Flow Toxicity and the Impact on Intraday Trading Factors. Australasian Accounting Business and Finance Journal. 7(2). 3–24. 13 indexed citations
11.
Wei, Wang Chun, et al.. (2012). Decomposing the Probability of Informed Trading Measure. SSRN Electronic Journal. 1 indexed citations

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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