King-Ip Lin
Impact in
- Signal Processing top 0.2%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
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- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Video Analysis and Summarization
Papers in
-
- Algorithms and Data Compression 7
- Advanced Clustering Algorithms Research 5
- Topic Modeling 3
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- Data Management and Algorithms 15
- Co-authors
- Christos Faloutsos (5 shared papers)Harpreet Sawhney (1 shared paper)Kyuseok Shim (1 shared paper)Rakesh Agrawal (1 shared paper)H. V. Jagadish (1 shared paper)Heikki Mannila (1 shared paper)Gautam Das (1 shared paper)Padhraic Smyth (1 shared paper)
- Journals
- Journal on Computing and Cultural Heritage (1 paper)Data & Knowledge Engineering (1 paper)The VLDB Journal (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)ACM SIGMOD Record (1 paper)
- Partner nations
- United StatesCanadaHong Kong
In The Last Decade
King-Ip Lin
36 papers receiving 2.8k citations
King-Ip Lin's Hit Papers
Peers
Comparison fields: 5 of 106
- Signal Processing 2.0k
- Computer Vision and Pattern Recognition 1.2k
- Artificial Intelligence 1.1k
- Information Systems 739
- Computer Graphics and Computer-Aided Design 93
Countries citing papers authored by King-Ip Lin
This map shows the geographic impact of King-Ip Lin'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 King-Ip Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites King-Ip Lin more than expected).
Fields of papers citing papers by King-Ip Lin
This network shows the impact of papers produced by King-Ip Lin. 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 King-Ip Lin. The network helps show where King-Ip Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside King-Ip Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | FastMap Hit paper breakdown → | 1995 | 729 |
| 2 | Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases Hit paper breakdown → | 1995 | 522 |
| 3 | Rule discovery from time series Hit paper breakdown → | 1998 | 503 |
| 4 | 1994 | 382 | |
| 5 | 1995 | 152 | |
| 6 | 2002 | 136 | |
| 7 | 2002 | 78 | |
| 8 | 1997 | 71 | |
| 9 | 1996 | 66 | |
| 10 | 1999 | 62 | |
| 11 | 2001 | 52 | |
| 12 | 2000 | 46 | |
| 13 | 2005 | 44 | |
| 14 | 2013 | 36 | |
| 15 | 2003 | 33 | |
| 16 | 2001 | 27 | |
| 17 | 2005 | 26 | |
| 18 | 2003 | 22 | |
| 19 | A word-based soft clustering algorithm for documents. | 2001 | 14 |
| 20 | 2001 | 12 |
About King-Ip Lin
King-Ip Lin is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 38 papers that have together received 3.1k indexed citations. Recurring topics across this work include Data Management and Algorithms (15 papers), Data Mining Algorithms and Applications (10 papers), Algorithms and Data Compression (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), Advanced Clustering Algorithms Research (5 papers), Topic Modeling (3 papers), Video Analysis and Summarization (3 papers) and Advanced Database Systems and Queries (3 papers). The work is most often cited by research in Signal Processing (2.0k citations), Computer Vision and Pattern Recognition (1.2k citations), Artificial Intelligence (1.1k citations), Information Systems (739 citations) and Computer Graphics and Computer-Aided Design (93 citations). King-Ip Lin has collaborated with scholars based in United States, Canada and Hong Kong. Frequent co-authors include Christos Faloutsos, Harpreet Sawhney, Kyuseok Shim, Rakesh Agrawal, H. V. Jagadish, Heikki Mannila, Gautam Das, Padhraic Smyth, David Doermann and Vikrant Kobla. Their work appears in journals such as Journal on Computing and Cultural Heritage, Data & Knowledge Engineering, The VLDB Journal, IEEE Transactions on Knowledge and Data Engineering and ACM SIGMOD Record.
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.