Chun-Rong Chen
- Computational Theory and Mathematics top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Numerical Analysis top 10%
- Co-authors
- Hongzhi WeiShengjie LiBasil RapoportRuoxia LiSandra M. McLachlanZhengwen TuHolly A. AlieskyPavel N. Pichurin
- Topics
- Optimization and Variational Analysis (23 papers)Advanced Optimization Algorithms Research (10 papers)Risk and Portfolio Optimization (8 papers)
- Cited by
- Numerical AnalysisComputational Theory and MathematicsEndocrinology, Diabetes and Metabolism
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Chun-Rong Chen
44 papers receiving 641 citations
Peers
Comparison fields: 5 of 89
- Computational Theory and Mathematics 178
- Endocrinology, Diabetes and Metabolism 174
- Computer Networks and Communications 155
- Electrical and Electronic Engineering 104
- Numerical Analysis 85
Countries citing papers authored by Chun-Rong Chen
This map shows the geographic impact of Chun-Rong Chen'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 Chun-Rong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun-Rong Chen more than expected).
Fields of papers citing papers by Chun-Rong Chen
This network shows the impact of papers produced by Chun-Rong Chen. 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 Chun-Rong Chen. The network helps show where Chun-Rong Chen may publish in the future.
Co-authorship network of co-authors of Chun-Rong Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Chun-Rong Chen. A scholar is included among the top collaborators of Chun-Rong Chen 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 Chun-Rong Chen. Chun-Rong Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 19 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 34 | |
| 10 | 27 | |
| 11 | 20 | |
| 12 | 0 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 8 | |
| 17 | 71 | |
| 18 | 22 | |
| 19 | 6 | |
| 20 | 36 |
About Chun-Rong Chen
Chun-Rong Chen is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Management Science and Operations Research, having authored 46 papers that have together received 658 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (23 papers), Advanced Optimization Algorithms Research (10 papers) and Risk and Portfolio Optimization (8 papers). The work is most often cited by research in Numerical Analysis (85 citations), Computational Theory and Mathematics (178 citations) and Endocrinology, Diabetes and Metabolism (174 citations). Chun-Rong Chen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Hongzhi Wei, Shengjie Li, Basil Rapoport, Ruoxia Li, Sandra M. McLachlan, Zhengwen Tu, Holly A. Aliesky, Pavel N. Pichurin, Alexander V. Misharin and Yumiko Mizutori. Their work appears in journals such as The Journal of Immunology, Endocrinology and Neurocomputing.
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.