Kai‐Chieh Chang
- Electrical and Electronic Engineering
- Mechanical Engineering
- Cognitive Neuroscience
- Cellular and Molecular Neuroscience
- Biomedical Engineering
- Co-authors
- Horng‐Huei LiouChia‐Hsiang YangPengting LiXiaogang YouSung‐Tsang HsiehHsueh‐Wen HsuehChi‐Chao ChaoYingwei Zhang
- Topics
- High Temperature Alloys and Creep (7 papers)Health disparities and outcomes (6 papers)Additive Manufacturing Materials and Processes (5 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Kai‐Chieh Chang
42 papers receiving 334 citations
Peers
Comparison fields: 5 of 89
- Electrical and Electronic Engineering 82
- Mechanical Engineering 78
- Cognitive Neuroscience 46
- Cellular and Molecular Neuroscience 43
- Biomedical Engineering 37
Countries citing papers authored by Kai‐Chieh Chang
This map shows the geographic impact of Kai‐Chieh 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‐Chieh 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‐Chieh Chang more than expected).
Fields of papers citing papers by Kai‐Chieh Chang
This network shows the impact of papers produced by Kai‐Chieh 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‐Chieh Chang. The network helps show where Kai‐Chieh Chang may publish in the future.
Co-authorship network of co-authors of Kai‐Chieh Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Kai‐Chieh Chang. A scholar is included among the top collaborators of Kai‐Chieh 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‐Chieh Chang. Kai‐Chieh 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 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 0 | |
| 12 | 0 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 4 | |
| 16 | 8 | |
| 17 | 60 | |
| 18 | 5 | |
| 19 | 4 | |
| 20 | Population Genetic Structure among Intra-Annual Arrival Waves of the Japanese Eel Anguilla japonica in Northern Taiwan | 8 |
About Kai‐Chieh Chang
Kai‐Chieh Chang is a scholar working on Neuropsychology and Physiological Psychology, Health and Physiology, having authored 49 papers that have together received 338 indexed citations. Recurring topics across this work include High Temperature Alloys and Creep (7 papers), Health disparities and outcomes (6 papers) and Additive Manufacturing Materials and Processes (5 papers). The work is most often cited by research in Physiology (16 citations), Neuropsychology and Physiological Psychology (5 citations) and Cognitive Neuroscience (46 citations). Kai‐Chieh Chang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Horng‐Huei Liou, Chia‐Hsiang Yang, Pengting Li, Xiaogang You, Sung‐Tsang Hsieh, Hsueh‐Wen Hsueh, Chi‐Chao Chao, Yingwei Zhang, Yu‐San Han and Ming‐Chang Chiang. Their work appears in journals such as Journal of Power Sources, Materials Science and Engineering A and IEEE Access.
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.