Jiajuan Liang
- Statistics and Probability top 2%
- Advanced Statistical Methods and Models 18
- Statistical Methods and Inference 13
- Statistical Distribution Estimation and Applications 12
- Statistical Methods and Bayesian Inference 6
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- Probabilistic and Robust Engineering Design 5
- Advanced Statistical Process Monitoring 5
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- Bayesian Methods and Mixture Models 6
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- Spectroscopy and Chemometric Analyses 5
- Co-authors
- Peter M. BentlerRunze LiMan‐Lai TangKai‐Tai FangFred J. HickernellKai-Tai FangPing Shing ChanHong‐Bin Fang
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Journals
- Computational Statistics & Data Analysis (5 papers)Annals of the Institute of Statistical Mathematics (2 papers)Journal of Computational and Graphical Statistics (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Jiajuan Liang
36 papers receiving 311 citations
Peers
Comparison fields: 5 of 93
- Statistics and Probability 177
- Statistics, Probability and Uncertainty 47
- Management Science and Operations Research 47
- Finance 25
- Environmental Engineering 33
Countries citing papers authored by Jiajuan Liang
This map shows the geographic impact of Jiajuan Liang'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 Jiajuan Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiajuan Liang more than expected).
Fields of papers citing papers by Jiajuan Liang
This network shows the impact of papers produced by Jiajuan Liang. 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 Jiajuan Liang. The network helps show where Jiajuan Liang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jiajuan Liang, 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 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2022 | 3 | |
| 6 | 2020 | 4 | |
| 7 | 2020 | 1 | |
| 8 | 2018 | 9 | |
| 9 | 2017 | 1 | |
| 10 | 2016 | 1 | |
| 11 | A New EM Algorithm for Maximum Likelihood Estimation in Two-level Structural Equation Models with Arbitrary Sample Designs | 2011 | 1 |
| 12 | 2011 | 4 | |
| 13 | 2009 | 30 | |
| 14 | 2008 | 2 | |
| 15 | 2007 | 14 | |
| 16 | 2006 | 1 | |
| 17 | 2006 | 6 | |
| 18 | 2004 | 52 | |
| 19 | 2000 | 30 | |
| 20 | 1998 | 7 |
About Jiajuan Liang
Jiajuan Liang is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Numerical Analysis, Analytical Chemistry and Environmental Engineering, having authored 39 papers that have together received 323 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (18 papers), Statistical Methods and Inference (13 papers), Statistical Distribution Estimation and Applications (12 papers), Statistical Methods and Bayesian Inference (6 papers), Bayesian Methods and Mixture Models (6 papers), Probabilistic and Robust Engineering Design (5 papers), Advanced Statistical Process Monitoring (5 papers) and Spectroscopy and Chemometric Analyses (5 papers). The work is most often cited by research in Statistics and Probability (177 citations), Statistics, Probability and Uncertainty (47 citations), Management Science and Operations Research (47 citations), Finance (25 citations) and Environmental Engineering (33 citations). Jiajuan Liang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Peter M. Bentler, Runze Li, Man‐Lai Tang, Kai‐Tai Fang, Fred J. Hickernell, Kai‐Tai Fang, Kai-Tai Fang, Ping Shing Chan, Hong‐Bin Fang and Kai Wang Ng. Their work appears in journals such as Computational Statistics & Data Analysis, Annals of the Institute of Statistical Mathematics, Journal of Computational and Graphical Statistics, Journal of Statistical Computation and Simulation and Psychometrika.
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.