Hai-Jun Li
Impact in
- Finance top 1%
- Financial Risk and Volatility Modeling
Papers in
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- Statistical Distribution Estimation and Applications 15
-
- Reliability and Maintenance Optimization 12
- Co-authors
- Harry Joe (4 shared papers)Aristidis K. Nikoloulopoulos (2 shared papers)Xiaohu Li (1 shared paper)Jun Cai (2 shared papers)Susan H. Xu (8 shared papers)Moshe Shaked (7 shared papers)Lirong Cui (3 shared papers)Yan Shang (1 shared paper)
- Journals
- Journal of Applied Probability (11 papers)Physics Letters B (4 papers)Physical review. D (3 papers)Nuclear Technology (3 papers)Stochastic Models (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Hai-Jun Li
103 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 134
- Nuclear Energy and Engineering 30
- Finance 462
- Statistics and Probability 372
- Statistics, Probability and Uncertainty 157
- Management Science and Operations Research 275
Countries citing papers authored by Hai-Jun Li
This map shows the geographic impact of Hai-Jun Li'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 Hai-Jun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai-Jun Li more than expected).
Fields of papers citing papers by Hai-Jun Li
This network shows the impact of papers produced by Hai-Jun Li. 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 Hai-Jun Li. The network helps show where Hai-Jun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai-Jun Li, 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 199 | |
| 2 | 2010 | 164 | |
| 3 | 2013 | 134 | |
| 4 | 2010 | 84 | |
| 5 | 2005 | 84 | |
| 6 | CEPC-SPPC Preliminary Conceptual Design Report. 1. Physics and Detector | 2015 | 55 |
| 7 | 2021 | 55 | |
| 8 | 2008 | 53 | |
| 9 | 2007 | 50 | |
| 10 | 2008 | 49 | |
| 11 | 2012 | 41 | |
| 12 | 2023 | 37 | |
| 13 | 2011 | 37 | |
| 14 | 2006 | 29 | |
| 15 | 2000 | 26 | |
| 16 | 2004 | 25 | |
| 17 | 2022 | 24 | |
| 18 | 2000 | 19 | |
| 19 | 2007 | 19 | |
| 20 | 2023 | 17 |
About Hai-Jun Li
Hai-Jun Li is a scholar working on Statistics and Probability, Safety, Risk, Reliability and Quality, Finance, Nuclear and High Energy Physics and Software, having authored 112 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (15 papers), Dark Matter and Cosmic Phenomena (13 papers), Financial Risk and Volatility Modeling (13 papers), Reliability and Maintenance Optimization (12 papers), Probability and Risk Models (9 papers), Particle physics theoretical and experimental studies (9 papers), Software Reliability and Analysis Research (8 papers) and Advanced Queuing Theory Analysis (8 papers). The work is most often cited by research in Nuclear Energy and Engineering (30 citations), Finance (462 citations), Statistics and Probability (372 citations), Statistics, Probability and Uncertainty (157 citations) and Management Science and Operations Research (275 citations). Hai-Jun Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Harry Joe, Aristidis K. Nikoloulopoulos, Xiaohu Li, Jun Cai, Susan H. Xu, Moshe Shaked, Lirong Cui, Yan Shang, Sufen Li and Li Zhu. Their work appears in journals such as Journal of Applied Probability, Physics Letters B, Physical review. D, Nuclear Technology and Stochastic Models.
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.