Haipeng Xing

82 total papers · 791 total citations
32 papers, 439 citations indexed

About

Haipeng Xing is a scholar working on Finance, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Haipeng Xing has authored 32 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Finance, 8 papers in Statistics and Probability and 6 papers in Molecular Biology. Recurrent topics in Haipeng Xing's work include Financial Risk and Volatility Modeling (7 papers), Statistical Methods and Inference (6 papers) and Credit Risk and Financial Regulations (5 papers). Haipeng Xing is often cited by papers focused on Financial Risk and Volatility Modeling (7 papers), Statistical Methods and Inference (6 papers) and Credit Risk and Financial Regulations (5 papers). Haipeng Xing collaborates with scholars based in United States, China and Singapore. Haipeng Xing's co-authors include Tze Leung Lai, Chris Chatfield, Michael Q. Zhang, Yifan Mo, Hao Chen, Nancy R. Zhang, Will Liao, Zhenhua Liu, Niangjun Chen and Ying Chen and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Applied Physiology and Journal of Banking & Finance.

In The Last Decade

Haipeng Xing

30 papers receiving 405 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Haipeng Xing 109 84 83 71 64 32 439
Yan‐Xia Lin 168 1.5× 78 0.9× 61 0.7× 81 1.1× 119 1.9× 71 448
Yingxing Li 83 0.8× 17 0.2× 190 2.3× 75 1.1× 90 1.4× 33 411
Benny Levikson 50 0.5× 27 0.3× 81 1.0× 14 0.2× 88 1.4× 30 467
Xin Dang 38 0.3× 33 0.4× 141 1.7× 190 2.7× 26 0.4× 43 454
Zaven A. Karian 69 0.6× 13 0.2× 201 2.4× 91 1.3× 36 0.6× 26 465
Roger C. Pfaffenberger 74 0.7× 9 0.1× 159 1.9× 32 0.5× 97 1.5× 26 444
Mathieu Rosenbaum 238 2.2× 22 0.3× 92 1.1× 35 0.5× 148 2.3× 33 413
Pakize Taylan 21 0.2× 67 0.8× 64 0.8× 75 1.1× 34 0.5× 19 395
R. G. Cowell 14 0.1× 136 1.6× 36 0.4× 155 2.2× 33 0.5× 21 452
Richard H. Stockbridge 225 2.1× 14 0.2× 50 0.6× 21 0.3× 109 1.7× 32 468

Countries citing papers authored by Haipeng Xing

Since Specialization
Citations

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

Fields of papers citing papers by Haipeng Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haipeng Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Haipeng Xing. A scholar is included among the top collaborators of Haipeng Xing 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 Haipeng Xing. Haipeng Xing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026