Jenny Y. Chiang
- Signal Processing top 5%
- Data Management and Algorithms 4
- Information Systems top 2%
- Data Mining Algorithms and Applications 6
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- Rough Sets and Fuzzy Logic 4
- Artificial Intelligence top 10%
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- Image Retrieval and Classification Techniques 2
- Video Analysis and Summarization 2
- Advanced Image and Video Retrieval Techniques 1
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- Inflammatory Myopathies and Dermatomyositis 1
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- Autoimmune Bullous Skin Diseases 1
- Co-authors
- Jiawei HanMicheline KamberOsmar R. Zaı̈aneZe-Nian LiKrzysztof KoperskiNebojša StefanovićYongjian FuWei Wang
- Journals
- ACM SIGMOD Record (2 papers)Dermatologica Sinica (1 paper)Conference of the Centre for Advanced Studies on Collaborative Research (1 paper)
In The Last Decade
Jenny Y. Chiang
9 papers receiving 292 citations
Peers
Comparison fields: 5 of 39
- Signal Processing 174
- Information Systems 261
- Computational Theory and Mathematics 132
- Computer Networks and Communications 109
- Artificial Intelligence 112
Countries citing papers authored by Jenny Y. Chiang
This map shows the geographic impact of Jenny Y. Chiang'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 Jenny Y. Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jenny Y. Chiang more than expected).
Fields of papers citing papers by Jenny Y. Chiang
This network shows the impact of papers produced by Jenny Y. Chiang. 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 Jenny Y. Chiang. The network helps show where Jenny Y. Chiang may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Jenny Y. Chiang, 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 | 2023 | 1 | |
| 2 | Using Data Cubes for Metarule-Guided Mining of Multi-Dimensional Association Rules | 2002 | 8 |
| 3 | 1998 | 10 | |
| 4 | 1998 | 51 | |
| 5 | DBMiner: a system for data mining in relational databases and data warehouses | 1997 | 34 |
| 6 | Metarule-Guided Mining of Multi-Dimensional Association RulesUsing Data Cubes | 1997 | 138 |
| 7 | DBMiner: a system for mining knowledge in large relational databases | 1996 | 84 |
| 8 | 1996 | 17 | |
| 9 | 1996 | 3 |
About Jenny Y. Chiang
Jenny Y. Chiang is a scholar working on Signal Processing, Information Systems and Computational Theory and Mathematics, having authored 9 papers that have together received 346 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (6 papers), Rough Sets and Fuzzy Logic (4 papers), Data Management and Algorithms (4 papers), Image Retrieval and Classification Techniques (2 papers), Video Analysis and Summarization (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Inflammatory Myopathies and Dermatomyositis (1 paper) and Autoimmune Bullous Skin Diseases (1 paper). The work is most often cited by research in Signal Processing (174 citations), Information Systems (261 citations) and Computational Theory and Mathematics (132 citations). Jenny Y. Chiang has collaborated with scholars based in Canada and Taiwan. Frequent co-authors include Jiawei Han, Micheline Kamber, Osmar R. Zaı̈ane, Ze-Nian Li, Jiawei Han, Krzysztof Koperski, Nebojša Stefanović, Yongjian Fu, Wei Wang and Deyi Li. Their work appears in journals such as ACM SIGMOD Record, Dermatologica Sinica, Conference of the Centre for Advanced Studies on Collaborative Research and Knowledge Discovery and Data Mining.
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.