Jane J. Ye
Impact in
- Numerical Analysis top 0.5%
- Advanced Optimization Algorithms Research
- Computational Theory and Mathematics top 0.1%
- Optimization and Variational Analysis
- Contact Mechanics and Variational Inequalities
Papers in
-
- Optimization and Variational Analysis 78
- Contact Mechanics and Variational Inequalities 8
-
- Advanced Optimization Algorithms Research 52
- Co-authors
- Daqi Zhu (1 shared paper)Zili Wu (5 shared papers)Qiji Jim Zhu (5 shared papers)Lei Guo (9 shared papers)Dingju Zhu (2 shared papers)Jin Zhang (11 shared papers)Gui-Hua Lin (5 shared papers)Daoli Zhu (1 shared paper)
In The Last Decade
Jane J. Ye
97 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 93
- Numerical Analysis 1.3k
- Computational Theory and Mathematics 1.9k
- Geometry and Topology 327
- Control and Systems Engineering 870
- Management Science and Operations Research 320
Countries citing papers authored by Jane J. Ye
This map shows the geographic impact of Jane J. Ye'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 Jane J. Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane J. Ye more than expected).
Fields of papers citing papers by Jane J. Ye
This network shows the impact of papers produced by Jane J. Ye. 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 Jane J. Ye. The network helps show where Jane J. Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane J. Ye, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 196 | |
| 2 | 2005 | 173 | |
| 3 | 1997 | 150 | |
| 4 | 1997 | 130 | |
| 5 | 2000 | 95 | |
| 6 | 2010 | 76 | |
| 7 | 1999 | 69 | |
| 8 | 2002 | 63 | |
| 9 | 2006 | 51 | |
| 10 | 2003 | 48 | |
| 11 | 2004 | 42 | |
| 12 | 2013 | 42 | |
| 13 | 2011 | 41 | |
| 14 | 2013 | 40 | |
| 15 | 2002 | 40 | |
| 16 | 2012 | 36 | |
| 17 | 2015 | 36 | |
| 18 | 2003 | 34 | |
| 19 | 2009 | 34 | |
| 20 | 2011 | 32 |
About Jane J. Ye
Jane J. Ye is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Control and Systems Engineering, Management Science and Operations Research and Geometry and Topology, having authored 99 papers that have together received 2.4k indexed citations. Recurring topics across this work include Optimization and Variational Analysis (78 papers), Advanced Optimization Algorithms Research (52 papers), Optimization and Mathematical Programming (27 papers), Fixed Point Theorems Analysis (17 papers), Risk and Portfolio Optimization (13 papers), Contact Mechanics and Variational Inequalities (8 papers), Sparse and Compressive Sensing Techniques (7 papers) and Optimal Experimental Design Methods (6 papers). The work is most often cited by research in Numerical Analysis (1.3k citations), Computational Theory and Mathematics (1.9k citations), Geometry and Topology (327 citations), Control and Systems Engineering (870 citations) and Management Science and Operations Research (320 citations). Jane J. Ye has collaborated with scholars based in Canada, China and Hong Kong. Frequent co-authors include Daqi Zhu, Zili Wu, Qiji Jim Zhu, Lei Guo, Dingju Zhu, Jin Zhang, Gui-Hua Lin, Daoli Zhu, M. A. H. Dempster and Jinchuan Zhou. Their work appears in journals such as SIAM Journal on Optimization, Journal of Optimization Theory and Applications, Mathematical Programming, Mathematics of Operations Research and SIAM Journal on Control and Optimization.
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.