Chaochang Chiu
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Biomedical Engineering
- Information Systems top 5%
- Sociology and Political Science
- Co-authors
- Nan‐Hsing ChiuKe‐Horng ChenYing-Hsi LinTsung-Yen TsaiPei‐Chann ChangChen-Chih HuangChao-Cheng LeeYu-Huei Lee
- Topics
- Advanced DC-DC Converters (9 papers)Low-power high-performance VLSI design (8 papers)AI-based Problem Solving and Planning (6 papers)
- Journals
- IEEE Transactions on Industrial ElectronicsIEEE Transactions on Power ElectronicsExpert Systems with Applications
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chaochang Chiu
44 papers receiving 642 citations
Peers
Comparison fields: 5 of 94
- Electrical and Electronic Engineering 257
- Artificial Intelligence 179
- Biomedical Engineering 161
- Information Systems 107
- Sociology and Political Science 95
Countries citing papers authored by Chaochang Chiu
This map shows the geographic impact of Chaochang Chiu'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 Chaochang Chiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaochang Chiu more than expected).
Fields of papers citing papers by Chaochang Chiu
This network shows the impact of papers produced by Chaochang Chiu. 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 Chaochang Chiu. The network helps show where Chaochang Chiu may publish in the future.
Co-authorship network of co-authors of Chaochang Chiu
This figure shows the co-authorship network connecting the top 25 collaborators of Chaochang Chiu. A scholar is included among the top collaborators of Chaochang Chiu 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 Chaochang Chiu. Chaochang Chiu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 21 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 27 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 25 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 18 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 11 | |
| 15 | Personal asset allocation using particle swarm optimization approach | 1 |
| 16 | Knowledge discovery on customer churn prediction | 6 |
| 17 | Burst Routing Planning for Optical Networks using the Association Rule Approach | 0 |
| 18 | 50 | |
| 19 | 2 | |
| 20 | 4 |
About Chaochang Chiu
Chaochang Chiu is a scholar working on Management Science and Operations Research, Tourism, Leisure and Hospitality Management and Information Systems, having authored 48 papers that have together received 688 indexed citations. Recurring topics across this work include Advanced DC-DC Converters (9 papers), Low-power high-performance VLSI design (8 papers) and AI-based Problem Solving and Planning (6 papers). The work is most often cited by research in Management Science and Operations Research (92 citations), Artificial Intelligence (179 citations) and Marketing (51 citations). Chaochang Chiu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Nan‐Hsing Chiu, Ke‐Horng Chen, Ying-Hsi Lin, Tsung-Yen Tsai, Pei‐Chann Chang, Chen-Chih Huang, Chao-Cheng Lee, Yu-Huei Lee, Ting Lie and Yuchi Chen. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and Expert Systems with Applications.
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.