Jun Ma
Impact in
-
- Monetary Policy and Economic Impact
- Finance top 2%
- Financial Risk and Volatility Modeling
Papers in ⓘ
-
- Market Dynamics and Volatility 18
- Housing Market and Economics 12
- Finance 39
- Financial Markets and Investment Strategies 20
- Financial Risk and Volatility Modeling 11
- Co-authors
- Mark E. Wohar (14 shared papers)Warren B. Powell (6 shared papers)Wuyi Ming (7 shared papers)Jinguang Du (5 shared papers)Wenbin He (7 shared papers)Rangan Gupta (3 shared papers)Pieter van Gelder (1 shared paper)J.K. Vrijling (1 shared paper)
- Journals
- Statistics in Medicine (5 papers)Statistical Methods in Medical Research (4 papers)Computational Statistics & Data Analysis (4 papers)Journal of money credit and banking (4 papers)Applied Sciences (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Ma
135 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 136
- General Economics, Econometrics and Finance 282
- Finance 284
- Economics and Econometrics 416
- Statistics and Probability 107
- Health Informatics 11
Countries citing papers authored by Jun Ma
This map shows the geographic impact of Jun Ma'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 Jun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ma more than expected).
Fields of papers citing papers by Jun Ma
This network shows the impact of papers produced by Jun Ma. 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 Jun Ma. The network helps show where Jun Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 87 | |
| 2 | 2018 | 78 | |
| 3 | 2022 | 58 | |
| 4 | 2018 | 48 | |
| 5 | 2012 | 47 | |
| 6 | 2020 | 42 | |
| 7 | 2021 | 41 | |
| 8 | 2015 | 39 | |
| 9 | 2012 | 36 | |
| 10 | 2017 | 30 | |
| 11 | 2019 | 29 | |
| 12 | 2011 | 26 | |
| 13 | 2019 | 25 | |
| 14 | 2018 | 24 | |
| 15 | 2007 | 22 | |
| 16 | 2020 | 21 | |
| 17 | 2018 | 21 | |
| 18 | Pricing Foreign Equity Options with Stochastic Correlation and Volatility | 2009 | 20 |
| 19 | 1995 | 20 | |
| 20 | 2021 | 17 |
About Jun Ma
Jun Ma is a scholar working on Economics and Econometrics, Finance, General Economics, Econometrics and Finance, Statistics and Probability and Aerospace Engineering, having authored 152 papers that have together received 1.3k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (33 papers), Financial Markets and Investment Strategies (20 papers), Statistical Methods and Inference (19 papers), Market Dynamics and Volatility (18 papers), Housing Market and Economics (12 papers), Medical Imaging Techniques and Applications (12 papers), Statistical Methods and Bayesian Inference (11 papers) and Financial Risk and Volatility Modeling (11 papers). The work is most often cited by research in General Economics, Econometrics and Finance (282 citations), Finance (284 citations), Economics and Econometrics (416 citations), Statistics and Probability (107 citations) and Health Informatics (11 citations). Jun Ma has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Mark E. Wohar, Warren B. Powell, Wuyi Ming, Jinguang Du, Wenbin He, Rangan Gupta, Pieter van Gelder, J.K. Vrijling, Marian Risse and Raymond H. Chan. Their work appears in journals such as Statistics in Medicine, Statistical Methods in Medical Research, Computational Statistics & Data Analysis, Journal of money credit and banking and Applied Sciences.
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.