Grace L. Yang
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Statistical Distribution Estimation and Applications
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Finance top 5%
- Financial Risk and Volatility Modeling
- Stochastic processes and financial applications
Papers in
-
- Statistical Distribution Estimation and Applications 9
- Statistical Methods and Inference 8
- Statistical Methods and Bayesian Inference 3
-
- Advanced Statistical Process Monitoring 5
- Co-authors
- Lucien Le Cam (3 shared papers)Lucien M. Le Cam (1 shared paper)Shuyuan He (5 shared papers)Myron Chang (2 shared papers)Erik Torgersen (2 shared papers)David Pollard (1 shared paper)S. Diridollou (1 shared paper)Bernard Querleux (1 shared paper)
- Journals
- The Annals of Statistics (7 papers)Journal of the American Statistical Association (5 papers)Mathematical Biosciences (4 papers)Journal of Applied Probability (4 papers)Journal of Statistical Planning and Inference (2 papers)
- Partner nations
- United StatesChinaSlovenia
In The Last Decade
Grace L. Yang
39 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 131
- Statistics and Probability 771
- Finance 246
- Statistics, Probability and Uncertainty 161
- Metals and Alloys 35
- Management Science and Operations Research 143
Countries citing papers authored by Grace L. Yang
This map shows the geographic impact of Grace L. Yang'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 Grace L. Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace L. Yang more than expected).
Fields of papers citing papers by Grace L. Yang
This network shows the impact of papers produced by Grace L. Yang. 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 Grace L. Yang. The network helps show where Grace L. Yang may publish in the future.
Co-authors
The 23 scholars most cited alongside Grace L. Yang, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Asymptotics in statistics : some basic concepts | 1990 | 281 |
| 2 | 1990 | 215 | |
| 3 | 2000 | 146 | |
| 4 | 1987 | 98 | |
| 5 | 1978 | 89 | |
| 6 | 2009 | 77 | |
| 7 | 1997 | 69 | |
| 8 | 1998 | 66 | |
| 9 | 1986 | 48 | |
| 10 | 1991 | 27 | |
| 11 | 1997 | 26 | |
| 12 | 1977 | 24 | |
| 13 | 1983 | 23 | |
| 14 | 1988 | 21 | |
| 15 | 1978 | 21 | |
| 16 | 2002 | 19 | |
| 17 | 1977 | 16 | |
| 18 | 1984 | 16 | |
| 19 | 2015 | 13 | |
| 20 | 1998 | 12 |
About Grace L. Yang
Grace L. Yang is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Management Science and Operations Research, Industrial and Manufacturing Engineering and Molecular Biology, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (9 papers), Statistical Methods and Inference (8 papers), Advanced Statistical Process Monitoring (5 papers), Industrial Vision Systems and Defect Detection (4 papers), Statistical Methods and Bayesian Inference (3 papers), Manufacturing Process and Optimization (3 papers), Probability and Risk Models (3 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Statistics and Probability (771 citations), Finance (246 citations), Statistics, Probability and Uncertainty (161 citations), Metals and Alloys (35 citations) and Management Science and Operations Research (143 citations). Grace L. Yang has collaborated with scholars based in United States, China and Slovenia. Frequent co-authors include Lucien Le Cam, Lucien M. Le Cam, Shuyuan He, Myron Chang, Erik Torgersen, David Pollard, S. Diridollou, Bernard Querleux, Jean de Rigal and Stefan D. Leigh. Their work appears in journals such as The Annals of Statistics, Journal of the American Statistical Association, Mathematical Biosciences, Journal of Applied Probability and Journal of Statistical Planning and Inference.
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.