Jun Ma

2.1k citations
160 papers · 1.4k · h-index 20

Impact in

Papers in

    • Market Dynamics and Volatility 21
    • Housing Market and Economics 12
    • Complex Systems and Time Series Analysis 12
    • Financial Markets and Investment Strategies 22
    • Financial Risk and Volatility Modeling 13

Jun Ma

142 papers receiving 1.3k citations

Peers

Jun Ma
Comparison fields: 5 of 135
  • General Economics, Econometrics and Finance 308
  • Finance 313
  • Economics and Econometrics 454
  • Statistics and Probability 110
  • Health Informatics 11
Replace Christiaan Heij with:
Christiaan Heij Netherlands
Samarjit Das India
Yuanyuan Zhang United Kingdom
Xinyu Zhang China
Manfred Gilli Switzerland
Allyn W. Phillips United States
José Marı́a Sarabia Spain
Rafał Weron Poland
Miroslav Kárný Czechia
Yi Hui China
Jun Ma relative to Christiaan Heij Netherlands Christiaan Heij's profile →
Citations per field
00.5×4.6×
Christiaan Heij · 1×
Citations per year

Countries citing papers authored by Jun Ma

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun Ma Line = papers co-authored together Jun Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200590
2 201881
3 202265
4 201853
5 201249
6 202046
7 202146
8 201542
9 201236
10 201732
11 201931
12 201129
13 201927
14 199524
15 201824
16
Pricing Foreign Equity Options with Stochastic Correlation and Volatility
200922
17 201822
18 200722
19 202121
20 202021

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 160 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (34 papers), Financial Markets and Investment Strategies (22 papers), Market Dynamics and Volatility (21 papers), Statistical Methods and Inference (19 papers), Financial Risk and Volatility Modeling (13 papers), Housing Market and Economics (12 papers), Complex Systems and Time Series Analysis (12 papers) and Medical Imaging Techniques and Applications (12 papers). The work is most often cited by research in General Economics, Econometrics and Finance (308 citations), Finance (313 citations), Economics and Econometrics (454 citations), Statistics and Probability (110 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, Wuyi Ming, Warren B. Powell, Jinguang Du, Wenbin He, Rangan Gupta, J.K. Vrijling, Pieter van Gelder, Marian Risse and Raymond H. Chan. Their work appears in journals such as Statistics in Medicine, Computational Statistics & Data Analysis, Journal of money credit and banking, Statistical Methods in Medical Research and Journal of Economic Dynamics and Control.

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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