Kai‐Wei Chang
- Computational Theory and Mathematics top 0.5%
- Computational Mathematics top 0.1%
- Applied Mathematics top 2%
- Numerical Analysis top 5%
- Geometry and Topology top 5%
- Co-authors
- K. PEARSONTan ZhangThomas BartschZengqi WangTristan L’EcuyerIvar EkelandAntonio AmbrosettiSihong Shao
- Topics
- Tensor decomposition and applications (8 papers)Advanced Mathematical Modeling in Engineering (7 papers)Nonlinear Partial Differential Equations (6 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Kai‐Wei Chang
30 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Computational Theory and Mathematics 704
- Computational Mathematics 598
- Applied Mathematics 303
- Numerical Analysis 172
- Geometry and Topology 101
Countries citing papers authored by Kai‐Wei Chang
This map shows the geographic impact of Kai‐Wei Chang'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 Kai‐Wei Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai‐Wei Chang more than expected).
Fields of papers citing papers by Kai‐Wei Chang
This network shows the impact of papers produced by Kai‐Wei Chang. 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 Kai‐Wei Chang. The network helps show where Kai‐Wei Chang may publish in the future.
Co-authorship network of co-authors of Kai‐Wei Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Kai‐Wei Chang. A scholar is included among the top collaborators of Kai‐Wei Chang 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 Kai‐Wei Chang. Kai‐Wei Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 18 | |
| 4 | 4 | |
| 5 | 15 | |
| 6 | 6 | |
| 7 | 9 | |
| 8 | 22 | |
| 9 | 13 | |
| 10 | 27 | |
| 11 | 49 | |
| 12 | 84 | |
| 13 | 27 | |
| 14 | 12 | |
| 15 | 125 | |
| 16 | Perron-Frobenius theorem for nonnegative tensorsbreakdown → | 354 |
| 17 | 15 | |
| 18 | 83 | |
| 19 | 30 | |
| 20 | 20 |
About Kai‐Wei Chang
Kai‐Wei Chang is a scholar working on Computational Mathematics, Computational Theory and Mathematics and Numerical Analysis, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tensor decomposition and applications (8 papers), Advanced Mathematical Modeling in Engineering (7 papers) and Nonlinear Partial Differential Equations (6 papers). The work is most often cited by research in Computational Mathematics (598 citations), Computational Theory and Mathematics (704 citations) and Numerical Analysis (172 citations). Kai‐Wei Chang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include K. PEARSON, Tan Zhang, Thomas Bartsch, Zengqi Wang, Tristan L’Ecuyer, Ivar Ekeland, Antonio Ambrosetti, Sihong Shao, Dong Zhang and P. Rabinowitz. Their work appears in journals such as Circulation, Journal of the Atmospheric Sciences and Atmospheric chemistry and physics.
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.