Haijun Li
- Finance top 2%
- Financial Risk and Volatility Modeling 13
- Statistics and Probability top 1%
- Statistical Distribution Estimation and Applications 14
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- Probability and Risk Models 8
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- Dark Matter and Cosmic Phenomena 13
- Particle physics theoretical and experimental studies 9
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- Reliability and Maintenance Optimization 11
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- Advanced Queuing Theory Analysis 9
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- Software Reliability and Analysis Research 7
Haijun Li
95 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 124
- Nuclear Energy and Engineering 27
- Finance 452
- Statistics and Probability 356
- Management Science and Operations Research 272
- Statistics, Probability and Uncertainty 148
Countries citing papers authored by Haijun Li
This map shows the geographic impact of Haijun 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 Haijun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haijun Li more than expected).
Fields of papers citing papers by Haijun Li
This network shows the impact of papers produced by Haijun 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 Haijun Li. The network helps show where Haijun Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Haijun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2016 | 2 | |
| 13 | 2015 | 2 | |
| 14 | A Single-Period Analysis of a Two-Echelon Inventory System with Dependent Supply Uncertainty | 2011 | 10 |
| 15 | Design of Devices Monitoring System Based on ZigBee Technology | 2010 | 1 |
| 16 | 2009 | 5 | |
| 17 | An Improved Discernibility Matrix and the Computation of the Core | 2009 | 1 |
| 18 | Sex Determination of the Human Fossil Cranium from Jingchuan | 2007 | 1 |
| 19 | Realization of 2D grid-based route planning algorithm | 2007 | 2 |
| 20 | 1995 | 12 |
About Haijun Li
Haijun Li is a scholar working on Nuclear Energy and Engineering, Statistics and Probability, Software, Safety, Risk, Reliability and Quality and Finance, having authored 105 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (14 papers), Dark Matter and Cosmic Phenomena (13 papers), Financial Risk and Volatility Modeling (13 papers), Reliability and Maintenance Optimization (11 papers), Advanced Queuing Theory Analysis (9 papers), Particle physics theoretical and experimental studies (9 papers), Probability and Risk Models (8 papers) and Software Reliability and Analysis Research (7 papers). The work is most often cited by research in Nuclear Energy and Engineering (27 citations), Finance (452 citations), Statistics and Probability (356 citations), Management Science and Operations Research (272 citations) and Statistics, Probability and Uncertainty (148 citations). Haijun 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, Journal of Multivariate Analysis, Nuclear Technology and Physical review. D.
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.