Jung-Yi Jiang
Impact in
- Artificial Intelligence top 5%
- Text and Document Classification Technologies
- Advanced Text Analysis Techniques
- Advanced Clustering Algorithms Research
- Information Systems top 5%
- Data Mining Algorithms and Applications
- Web Data Mining and Analysis
- Spam and Phishing Detection
Papers in
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- Text and Document Classification Technologies 10
-
- Spam and Phishing Detection 4
- Web Data Mining and Analysis 4
- Data Mining Algorithms and Applications 4
- Co-authors
- Shie-Jue Lee (13 shared papers)Wan-Jui Lee (3 shared papers)Lian-Wang Lee (1 shared paper)Yau-Hwang Kuo (1 shared paper)Chin‐Shiuh Shieh (1 shared paper)Mong‐Fong Horng (1 shared paper)Yuh-Chung Lin (1 shared paper)Trong-The Nguyen (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (2 papers)IEEE Transactions on Fuzzy Systems (1 paper)Data & Knowledge Engineering (1 paper)Expert Systems with Applications (1 paper)IEEE Access (1 paper)
- Partner nations
- Taiwan
In The Last Decade
Jung-Yi Jiang
18 papers receiving 461 citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 347
- Information Systems 210
- Signal Processing 74
- Computer Vision and Pattern Recognition 124
- Computational Theory and Mathematics 39
Countries citing papers authored by Jung-Yi Jiang
This map shows the geographic impact of Jung-Yi Jiang'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 Jung-Yi Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jung-Yi Jiang more than expected).
Fields of papers citing papers by Jung-Yi Jiang
This network shows the impact of papers produced by Jung-Yi Jiang. 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 Jung-Yi Jiang. The network helps show where Jung-Yi Jiang may publish in the future.
Co-authors
The 8 scholars most cited alongside Jung-Yi Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 203 | |
| 2 | 2010 | 113 | |
| 3 | 2011 | 66 | |
| 4 | 2014 | 36 | |
| 5 | 2008 | 20 | |
| 6 | 2009 | 16 | |
| 7 | 2011 | 12 | |
| 8 | 2021 | 6 | |
| 9 | 2009 | 6 | |
| 10 | 2007 | 5 | |
| 11 | 2005 | 4 | |
| 12 | 2011 | 3 | |
| 13 | 2007 | 3 | |
| 14 | 2016 | 2 | |
| 15 | 2005 | 2 | |
| 16 | A dissimilarity measure for document clustering | 2012 | 1 |
| 17 | 2016 | 1 | |
| 18 | 2010 | 1 |
About Jung-Yi Jiang
Jung-Yi Jiang is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Signal Processing, having authored 18 papers that have together received 500 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (10 papers), Image Retrieval and Classification Techniques (6 papers), Spam and Phishing Detection (4 papers), Web Data Mining and Analysis (4 papers), Data Mining Algorithms and Applications (4 papers), Face and Expression Recognition (4 papers), Rough Sets and Fuzzy Logic (3 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Artificial Intelligence (347 citations), Information Systems (210 citations), Signal Processing (74 citations), Computer Vision and Pattern Recognition (124 citations) and Computational Theory and Mathematics (39 citations). Jung-Yi Jiang has collaborated with scholars based in Taiwan. Frequent co-authors include Shie-Jue Lee, Wan-Jui Lee, Lian-Wang Lee, Yau-Hwang Kuo, Chin‐Shiuh Shieh, Mong‐Fong Horng, Yuh-Chung Lin and Trong-The Nguyen. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Fuzzy Systems, Data & Knowledge Engineering, Expert Systems with Applications 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.