Jay F. Tu
- Mechanical Engineering top 1%
- Control and Systems Engineering top 2%
- Computational Mechanics top 5%
- Biomedical Engineering
- Mechanics of Materials top 5%
- Co-authors
- M. CorlessChi‐Wei LinJeffrey L. SteinMark GartnerIsamu MiyamotoTakashi InoueKeng H. LeongJames B. Taylor
- Topics
- Advanced Measurement and Metrology Techniques (20 papers)Advanced machining processes and optimization (19 papers)Welding Techniques and Residual Stresses (15 papers)
- Cited by
- Mechanical EngineeringControl and Systems EngineeringIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaCarbonAutomatica
- Partner nations
- United StatesJapanSweden
In The Last Decade
Jay F. Tu
64 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Mechanical Engineering 1.3k
- Control and Systems Engineering 528
- Computational Mechanics 264
- Biomedical Engineering 242
- Mechanics of Materials 225
Countries citing papers authored by Jay F. Tu
This map shows the geographic impact of Jay F. Tu'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 Jay F. Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay F. Tu more than expected).
Fields of papers citing papers by Jay F. Tu
This network shows the impact of papers produced by Jay F. Tu. 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 Jay F. Tu. The network helps show where Jay F. Tu may publish in the future.
Co-authorship network of co-authors of Jay F. Tu
This figure shows the co-authorship network connecting the top 25 collaborators of Jay F. Tu. A scholar is included among the top collaborators of Jay F. Tu 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 Jay F. Tu. Jay F. Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 3 | |
| 3 | 12 | |
| 4 | 3 | |
| 5 | 24 | |
| 6 | 10 | |
| 7 | 26 | |
| 8 | 9 | |
| 9 | 0 | |
| 10 | 7 | |
| 11 | 249 | |
| 12 | 17 | |
| 13 | 4 | |
| 14 | State and Input Estimation for a Class of Uncertain Systemsbreakdown → | 462 |
| 15 | 5 | |
| 16 | 3 | |
| 17 | 115 | |
| 18 | 2 | |
| 19 | 16 | |
| 20 | 29 |
About Jay F. Tu
Jay F. Tu is a scholar working on Mechanical Engineering, Computational Mechanics and Industrial and Manufacturing Engineering, having authored 67 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (20 papers), Advanced machining processes and optimization (19 papers) and Welding Techniques and Residual Stresses (15 papers). The work is most often cited by research in Mechanical Engineering (1.3k citations), Control and Systems Engineering (528 citations) and Industrial and Manufacturing Engineering (134 citations). Jay F. Tu has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include M. Corless, Chi‐Wei Lin, Jeffrey L. Stein, Mark Gartner, Isamu Miyamoto, Takashi Inoue, Keng H. Leong, James B. Taylor, Pal Molian and Etsuji Ohmura. Their work appears in journals such as SHILAP Revista de lepidopterología, Carbon and Automatica.
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.