Chia‐Jung Hsu
- Computational Mechanics top 0.05%
- Mechanical Engineering top 0.1%
- Biomedical Engineering top 0.5%
- Electrical and Electronic Engineering top 1%
- Materials Chemistry top 2%
- Co-authors
- Soushan WuWun-Hwa ChenZan HuangHsinchun ChenHsin‐Sheng DuanWenbing YangYang YangBrion Bob
- Topics
- Quantum Dots Synthesis And Properties (9 papers)Chalcogenide Semiconductor Thin Films (9 papers)Copper-based nanomaterials and applications (7 papers)
- Partner nations
- TaiwanUnited StatesSweden
In The Last Decade
Chia‐Jung Hsu
50 papers receiving 15.0k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Computational Mechanics 6.7k
- Mechanical Engineering 5.4k
- Biomedical Engineering 3.8k
- Electrical and Electronic Engineering 2.6k
- Materials Chemistry 2.4k
Countries citing papers authored by Chia‐Jung Hsu
This map shows the geographic impact of Chia‐Jung Hsu'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 Chia‐Jung Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Jung Hsu more than expected).
Fields of papers citing papers by Chia‐Jung Hsu
This network shows the impact of papers produced by Chia‐Jung Hsu. 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 Chia‐Jung Hsu. The network helps show where Chia‐Jung Hsu may publish in the future.
Co-authorship network of co-authors of Chia‐Jung Hsu
This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Jung Hsu. A scholar is included among the top collaborators of Chia‐Jung Hsu 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 Chia‐Jung Hsu. Chia‐Jung Hsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 7 | |
| 10 | 21 | |
| 11 | 44 | |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 389 | |
| 15 | 24 | |
| 16 | 52 | |
| 17 | Credit rating analysis with support vector machines and neural networks: a market comparative studybreakdown → | 732 |
| 18 | EFFECT OF ROD DISPLACEMENT ON HEAT TRANSFER IN SLUG FLOW THROUGH UNBAFFLED ROD BUNDLES. | 2 |
| 19 | 8 | |
| 20 | 3 |
About Chia‐Jung Hsu
Chia‐Jung Hsu is a scholar working on Materials Chemistry, Computational Mechanics and Physical and Theoretical Chemistry, having authored 52 papers that have together received 15.5k indexed citations. Recurring topics across this work include Quantum Dots Synthesis And Properties (9 papers), Chalcogenide Semiconductor Thin Films (9 papers) and Copper-based nanomaterials and applications (7 papers). The work is most often cited by research in Computational Mechanics (6.7k citations), Mechanical Engineering (5.4k citations) and Environmental Engineering (1.3k citations). Chia‐Jung Hsu has collaborated with scholars based in Taiwan, United States and Sweden. Frequent co-authors include Soushan Wu, Wun-Hwa Chen, Zan Huang, Hsinchun Chen, Hsin‐Sheng Duan, Wenbing Yang, Yang Yang, Brion Bob, Pi‐Tai Chou and Yi‐Ming Cheng. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and ACS Nano.
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.