Zhongjun Qu

1.9k citations
29 papers · 1.2k · h-index 14

Impact in

Papers in

Zhongjun Qu

27 papers receiving 1.1k citations

Peers

Zhongjun Qu
Comparison fields: 5 of 68
  • General Economics, Econometrics and Finance 602
  • Finance 546
  • Statistics and Probability 251
  • Economics and Econometrics 781
  • Statistics, Probability and Uncertainty 46
Replace Anders Rahbek with:
Anders Rahbek Denmark
Giuseppe Cavaliere Italy
Juan Carlos Escanciano United States
Ignacio N. Lobato Mexico
Raffaella Giacomini United Kingdom
Marine Carrasco Canada
Joshua C. C. Chan Australia
Rodney W. Strachan Australia
Markku Lanne Finland
Roberto Casarin Italy
Zhongjun Qu relative to Anders Rahbek Denmark Anders Rahbek's profile →
Citations per field
00.5×1.5×
Anders Rahbek · 1×
Citations per year

Countries citing papers authored by Zhongjun Qu

Since Specialization
Citations

This map shows the geographic impact of Zhongjun Qu'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 Zhongjun Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongjun Qu more than expected).

Fields of papers citing papers by Zhongjun Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhongjun Qu. 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 Zhongjun Qu. The network helps show where Zhongjun Qu may publish in the future.

Co-authors

The 8 scholars most cited alongside Zhongjun Qu, 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 Zhongjun Qu Line = papers co-authored together Zhongjun Qu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007328
2 2006136
3 2009120
4 2005101
5 200898
6 201089
7 201173
8 201250
9 201441
10 201226
11 201417
12 202217
13 200716
14 200815
15 201613
16 20109
17 20097
18 20076
19 20176
20 20145

About Zhongjun Qu

Zhongjun Qu is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Finance, Statistics and Probability and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (15 papers), Financial Risk and Volatility Modeling (12 papers), Market Dynamics and Volatility (12 papers), Complex Systems and Time Series Analysis (6 papers), Statistical Methods and Inference (4 papers), Advanced Statistical Methods and Models (4 papers), Stochastic processes and financial applications (3 papers) and Statistical Distribution Estimation and Applications (2 papers). The work is most often cited by research in General Economics, Econometrics and Finance (602 citations), Finance (546 citations), Statistics and Probability (251 citations), Economics and Econometrics (781 citations) and Statistics, Probability and Uncertainty (46 citations). Zhongjun Qu has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Pierre Perrón, Tatsushi Oka, Lei Yu, Dong Zhang, Yi‐Ting Chen, Timothy J. Vogelsang, Serena Ng and Guanjie Chen. Their work appears in journals such as Journal of Econometrics, Journal of Business and Economic Statistics, Quantitative Economics, Econometrics Journal and The Review of Economics and Statistics.

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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