J. Yeh
Impact in
- Applied Mathematics top 2%
- Algebraic and Geometric Analysis
- Mathematical Analysis and Transform Methods
- Mathematical Physics top 5%
- advanced mathematical theories
- Advanced Banach Space Theory
Papers in
-
- Algebraic and Geometric Analysis 7
- Mathematical Analysis and Transform Methods 6
-
- advanced mathematical theories 5
- Co-authors
- Marc Uemura (1 shared paper)David Nualart (2 shared papers)William N. Hudson (1 shared paper)
- Journals
- Pacific Journal of Mathematics (7 papers)Transactions of the American Mathematical Society (4 papers)Proceedings of the American Mathematical Society (4 papers)Tohoku Mathematical Journal (3 papers)Journal of Multivariate Analysis (2 papers)
- Partner nations
- United StatesSpainJapan
In The Last Decade
J. Yeh
26 papers receiving 436 citations
Peers
Comparison fields: 5 of 68
- Applied Mathematics 304
- Mathematical Physics 260
- Algebra and Number Theory 52
- Finance 109
- Numerical Analysis 55
Countries citing papers authored by J. Yeh
This map shows the geographic impact of J. Yeh'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 J. Yeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Yeh more than expected).
Fields of papers citing papers by J. Yeh
This network shows the impact of papers produced by J. Yeh. 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 J. Yeh. The network helps show where J. Yeh may publish in the future.
Co-authors
The 3 scholars most cited alongside J. Yeh, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Real Analysis: Theory of Measure and Integration | 2006 | 72 |
| 2 | 1974 | 68 | |
| 3 | 1960 | 67 | |
| 4 | 1975 | 66 | |
| 5 | 1981 | 59 | |
| 6 | 1965 | 57 | |
| 7 | 1963 | 49 | |
| 8 | 2012 | 38 | |
| 9 | 1971 | 35 | |
| 10 | 1963 | 33 | |
| 11 | 1969 | 27 | |
| 12 | 1987 | 24 | |
| 13 | 2000 | 23 | |
| 14 | 1995 | 19 | |
| 15 | 1995 | 17 | |
| 16 | 1978 | 13 | |
| 17 | 1985 | 11 | |
| 18 | 1967 | 6 | |
| 19 | 1989 | 6 | |
| 20 | 1965 | 2 |
About J. Yeh
J. Yeh is a scholar working on Applied Mathematics, Mathematical Physics, Finance, Computational Theory and Mathematics and Numerical Analysis, having authored 30 papers that have together received 703 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (8 papers), Advanced Mathematical Modeling in Engineering (7 papers), Algebraic and Geometric Analysis (7 papers), Mathematical Analysis and Transform Methods (6 papers), Probabilistic and Robust Engineering Design (5 papers), advanced mathematical theories (5 papers), Stability and Controllability of Differential Equations (3 papers) and Physics and Engineering Research Articles (3 papers). The work is most often cited by research in Applied Mathematics (304 citations), Mathematical Physics (260 citations), Algebra and Number Theory (52 citations), Finance (109 citations) and Numerical Analysis (55 citations). J. Yeh has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include Marc Uemura, David Nualart and William N. Hudson. Their work appears in journals such as Pacific Journal of Mathematics, Transactions of the American Mathematical Society, Proceedings of the American Mathematical Society, Tohoku Mathematical Journal and Journal of Multivariate Analysis.
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.