Chiun‐Chieh Hsu
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Electrical and Electronic Engineering
- Accounting top 10%
- Co-authors
- Jou–Ming ChangJinn‐Shyong YangJang‐Ping SheuDa‐Ren ChenYue-Li WangYu‐Ting TsaiKung-Jui PaiTe‐Son Kuo
- Topics
- Interconnection Networks and Systems (9 papers)Distributed and Parallel Computing Systems (6 papers)Data Mining Algorithms and Applications (5 papers)
- Partner nations
- Taiwan
In The Last Decade
Chiun‐Chieh Hsu
31 papers receiving 266 citations
Peers
Comparison fields: 5 of 54
- Computer Networks and Communications 103
- Artificial Intelligence 102
- Computational Theory and Mathematics 66
- Electrical and Electronic Engineering 61
- Accounting 59
Countries citing papers authored by Chiun‐Chieh Hsu
This map shows the geographic impact of Chiun‐Chieh 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 Chiun‐Chieh Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiun‐Chieh Hsu more than expected).
Fields of papers citing papers by Chiun‐Chieh Hsu
This network shows the impact of papers produced by Chiun‐Chieh 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 Chiun‐Chieh Hsu. The network helps show where Chiun‐Chieh Hsu may publish in the future.
Co-authorship network of co-authors of Chiun‐Chieh Hsu
This figure shows the co-authorship network connecting the top 25 collaborators of Chiun‐Chieh Hsu. A scholar is included among the top collaborators of Chiun‐Chieh 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 Chiun‐Chieh Hsu. Chiun‐Chieh 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 | 3 | |
| 2 | 9 | |
| 3 | An Associative Classification Approach for Enhancing Prediction of Imbalance Data | 1 |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 67 | |
| 9 | 1 | |
| 10 | 31 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | Fault-tolerant routing for pyramid networks using the least level minimal routing method. | 2 |
| 14 | 21 | |
| 15 | 9 | |
| 16 | 3 | |
| 17 | 10 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 2 |
About Chiun‐Chieh Hsu
Chiun‐Chieh Hsu is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 33 papers that have together received 280 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (9 papers), Distributed and Parallel Computing Systems (6 papers) and Data Mining Algorithms and Applications (5 papers). The work is most often cited by research in Accounting (59 citations), Computer Networks and Communications (103 citations) and Computational Theory and Mathematics (66 citations). Chiun‐Chieh Hsu has collaborated with scholars based in Taiwan. Frequent co-authors include Jou–Ming Chang, Jinn‐Shyong Yang, Jang‐Ping Sheu, Da‐Ren Chen, Yue-Li Wang, Yu‐Ting Tsai, Kung-Jui Pai, Te‐Son Kuo, Sheng‐De Wang and Wei‐Chao Lin. Their work appears in journals such as Expert Systems with Applications, Information Sciences and Information Processing & Management.
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.