Yi Li
- Statistics and Probability top 0.5%
- Molecular Biology
- Experimental and Cognitive Psychology top 2%
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 5%
- Co-authors
- Hyokyoung G. HongSihai Dave ZhaoOrfeu M. BuxtonMiguel MarinoLisa BerkmanJohn W. WinkelmanJo M. SoletJ. M. Ellenbogen
- Topics
- Statistical Methods and Inference (61 papers)Statistical Methods and Bayesian Inference (36 papers)Bayesian Methods and Mixture Models (20 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaJournal of the American Statistical Association
- Partner nations
- United StatesChinaCanada
In The Last Decade
Yi Li
170 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Statistics and Probability 665
- Molecular Biology 613
- Experimental and Cognitive Psychology 582
- Cognitive Neuroscience 369
- Artificial Intelligence 324
Countries citing papers authored by Yi Li
This map shows the geographic impact of Yi 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 Yi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Li more than expected).
Fields of papers citing papers by Yi Li
This network shows the impact of papers produced by Yi 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 Yi Li. The network helps show where Yi Li may publish in the future.
Co-authorship network of co-authors of Yi Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yi Li. A scholar is included among the top collaborators of Yi Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yi Li. Yi Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 5 | |
| 12 | 7 | |
| 13 | Estimation of time-varying transmission and removal rates underlying epidemiological processes: a new statistical tool for the COVID-19 pandemic | 1 |
| 14 | 40 | |
| 15 | 8 | |
| 16 | A Robust-Equitable Measure for Feature Ranking and Selection | 53 |
| 17 | A Robust-Equitable Copula Dependence Measure for Feature Selection | 12 |
| 18 | Double Circumflex and back dipping: Reports on two newly confirmed types of contour tones | 1 |
| 19 | 1 | |
| 20 | An ESPRIT-Based improved algorithm | 2 |
About Yi Li
Yi Li is a scholar working on Statistics and Probability, Nephrology and Modeling and Simulation, having authored 191 papers that have together received 3.3k indexed citations. Recurring topics across this work include Statistical Methods and Inference (61 papers), Statistical Methods and Bayesian Inference (36 papers) and Bayesian Methods and Mixture Models (20 papers). The work is most often cited by research in Statistics and Probability (665 citations), Experimental and Cognitive Psychology (582 citations) and Nephrology (312 citations). Yi Li has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Hyokyoung G. Hong, Sihai Dave Zhao, Orfeu M. Buxton, Miguel Marino, Lisa Berkman, John W. Winkelman, Jo M. Solet, J. M. Ellenbogen, Michael Rueschman and Ping Fu. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.