Naijun Sha
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
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- Probabilistic and Robust Engineering Design
Papers in
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- Statistical Distribution Estimation and Applications 13
- Statistical Methods and Inference 7
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- Probabilistic and Robust Engineering Design 7
- Advanced Statistical Process Monitoring 3
- Co-authors
- Marina Vannucci (8 shared papers)Mahlet G. Tadesse (5 shared papers)Bani K. Mallick (1 shared paper)Edward R. Dougherty (1 shared paper)Philip J. Brown (3 shared papers)Rong Pan (2 shared papers)Francesco Falciani (2 shared papers)I. Dragoni (1 shared paper)
- Journals
- Bioinformatics (2 papers)Chemometrics and Intelligent Laboratory Systems (2 papers)IEEE Transactions on Reliability (2 papers)Journal of Statistical Computation and Simulation (2 papers)Mathematical Biosciences (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Naijun Sha
24 papers receiving 755 citations
Peers
Comparison fields: 5 of 98
- Statistics and Probability 300
- Statistics, Probability and Uncertainty 78
- Artificial Intelligence 276
- Analytical Chemistry 69
- Safety, Risk, Reliability and Quality 61
Countries citing papers authored by Naijun Sha
This map shows the geographic impact of Naijun Sha'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 Naijun Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naijun Sha more than expected).
Fields of papers citing papers by Naijun Sha
This network shows the impact of papers produced by Naijun Sha. 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 Naijun Sha. The network helps show where Naijun Sha may publish in the future.
Co-authors
The 19 scholars most cited alongside Naijun Sha, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 257 | |
| 2 | 2005 | 155 | |
| 3 | 2004 | 90 | |
| 4 | 2006 | 64 | |
| 5 | 2005 | 43 | |
| 6 | 2013 | 39 | |
| 7 | 2004 | 16 | |
| 8 | 2003 | 15 | |
| 9 | 2015 | 13 | |
| 10 | Identifying biomarkers from mass spectrometry data with ordinal outcome. | 2007 | 13 |
| 11 | 2007 | 12 | |
| 12 | 2017 | 12 | |
| 13 | 2012 | 12 | |
| 14 | 2014 | 9 | |
| 15 | 2018 | 8 | |
| 16 | 2015 | 8 | |
| 17 | 2017 | 7 | |
| 18 | 2012 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2007 | 4 |
About Naijun Sha
Naijun Sha is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Molecular Biology and Artificial Intelligence, having authored 26 papers that have together received 792 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (13 papers), Reliability and Maintenance Optimization (8 papers), Probabilistic and Robust Engineering Design (7 papers), Statistical Methods and Inference (7 papers), Gene expression and cancer classification (7 papers), Spectroscopy and Chemometric Analyses (4 papers), Bayesian Methods and Mixture Models (4 papers) and Advanced Statistical Process Monitoring (3 papers). The work is most often cited by research in Statistics and Probability (300 citations), Statistics, Probability and Uncertainty (78 citations), Artificial Intelligence (276 citations), Analytical Chemistry (69 citations) and Safety, Risk, Reliability and Quality (61 citations). Naijun Sha has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Marina Vannucci, Mahlet G. Tadesse, Bani K. Mallick, Edward R. Dougherty, Philip J. Brown, Rong Pan, Francesco Falciani, I. Dragoni, Andrea Contestabile and Hua Liang. Their work appears in journals such as Bioinformatics, Chemometrics and Intelligent Laboratory Systems, IEEE Transactions on Reliability, Journal of Statistical Computation and Simulation and Mathematical Biosciences.
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.