Shih-Kun Huang
- Information Systems top 1%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Software top 2%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Yao‐Wen HuangChung-Hung TsaiChun-Shien LuHong-Yuan Mark LiaoVictor LawXun GeWai Yie LeongSy‐Yen Kuo
- Topics
- Software Testing and Debugging Techniques (20 papers)Advanced Malware Detection Techniques (16 papers)Software Reliability and Analysis Research (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied SciencesComputer Networks
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Shih-Kun Huang
40 papers receiving 704 citations
Peers
Comparison fields: 5 of 50
- Information Systems 470
- Artificial Intelligence 343
- Signal Processing 247
- Software 212
- Computer Vision and Pattern Recognition 165
Countries citing papers authored by Shih-Kun Huang
This map shows the geographic impact of Shih-Kun Huang'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 Shih-Kun Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih-Kun Huang more than expected).
Fields of papers citing papers by Shih-Kun Huang
This network shows the impact of papers produced by Shih-Kun Huang. 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 Shih-Kun Huang. The network helps show where Shih-Kun Huang may publish in the future.
Co-authorship network of co-authors of Shih-Kun Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Shih-Kun Huang. A scholar is included among the top collaborators of Shih-Kun Huang 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 Shih-Kun Huang. Shih-Kun Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Help Seeking from Peers in an Online Class: Roles of Students’ Help-seeking Profiles and Epistemic Beliefs | 8 |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 32 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | A unified ant agent framework for solving DoS and QoS problems | 1 |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 19 | |
| 16 | 39 | |
| 17 | 17 | |
| 18 | 226 | |
| 19 | 7 | |
| 20 | Survey of the influence of programming constructs and mechanisms on software quality | 1 |
About Shih-Kun Huang
Shih-Kun Huang is a scholar working on Software, Signal Processing and Information Systems, having authored 45 papers that have together received 806 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (20 papers), Advanced Malware Detection Techniques (16 papers) and Software Reliability and Analysis Research (11 papers). The work is most often cited by research in Software (212 citations), Signal Processing (247 citations) and Information Systems (470 citations). Shih-Kun Huang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yao‐Wen Huang, Chung-Hung Tsai, Chun-Shien Lu, Hong-Yuan Mark Liao, Victor Law, Xun Ge, Wai Yie Leong, Sy‐Yen Kuo, Chung-Hung Tsai and D. T. Lee. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Sciences and Computer Networks.
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.