King-Ip Lin
Impact in
- Signal Processing top 0.5%
- 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 6
- Advanced Clustering Algorithms Research 5
- Natural Language Processing Techniques 2
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- Data Management and Algorithms 13
- Co-authors
- Christos Faloutsos (4 shared papers)Rakesh Agrawal (1 shared paper)Harpreet Sawhney (1 shared paper)Kyuseok Shim (1 shared paper)Gautam Das (1 shared paper)Padhraic Smyth (1 shared paper)Heikki Mannila (1 shared paper)Cheng Yang (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (1 paper)ACM SIGMOD Record (1 paper)Knowledge and Information Systems (1 paper)Journal on Computing and Cultural Heritage (1 paper)Data & Knowledge Engineering (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
King-Ip Lin
29 papers receiving 1.9k citations
King-Ip Lin's Hit Papers
Peers
Comparison fields: 5 of 101
- Signal Processing 1.3k
- Computer Vision and Pattern Recognition 805
- Artificial Intelligence 813
- Information Systems 517
- Computer Graphics and Computer-Aided Design 65
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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | FastMap Hit paper breakdown → | 1995 | 618 |
| 2 | Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases | 1995 | 409 |
| 3 | Rule discovery from time series | 1998 | 377 |
| 4 | 2002 | 115 | |
| 5 | 1995 | 110 | |
| 6 | 2002 | 69 | |
| 7 | 1997 | 64 | |
| 8 | 1996 | 59 | |
| 9 | 1999 | 54 | |
| 10 | 2001 | 43 | |
| 11 | 2000 | 41 | |
| 12 | 2005 | 32 | |
| 13 | 2003 | 32 | |
| 14 | 2013 | 32 | |
| 15 | 2005 | 22 | |
| 16 | 2001 | 19 | |
| 17 | 2003 | 18 | |
| 18 | A word-based soft clustering algorithm for documents. | 2001 | 13 |
| 19 | 2006 | 7 | |
| 20 | 2005 | 5 |
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 31 papers that have together received 2.2k indexed citations. Recurring topics across this work include Data Management and Algorithms (13 papers), Data Mining Algorithms and Applications (9 papers), Algorithms and Data Compression (6 papers), Advanced Clustering Algorithms Research (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Video Analysis and Summarization (3 papers), Advanced Database Systems and Queries (3 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Signal Processing (1.3k citations), Computer Vision and Pattern Recognition (805 citations), Artificial Intelligence (813 citations), Information Systems (517 citations) and Computer Graphics and Computer-Aided Design (65 citations). King-Ip Lin has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Christos Faloutsos, Rakesh Agrawal, Harpreet Sawhney, Kyuseok Shim, Gautam Das, Padhraic Smyth, Heikki Mannila, Cheng Yang, David Doermann and Vikrant Kobla. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM SIGMOD Record, Knowledge and Information Systems, Journal on Computing and Cultural Heritage and Data & Knowledge Engineering.
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.