King-Ip Lin

14 papers and 750 indexed citations i.

About

King-Ip Lin is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, King-Ip Lin has authored 14 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Signal Processing and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in King-Ip Lin’s work include Data Management and Algorithms (5 papers), Video Analysis and Summarization (3 papers) and Data Mining Algorithms and Applications (3 papers). King-Ip Lin is often cited by papers focused on Data Management and Algorithms (5 papers), Video Analysis and Summarization (3 papers) and Data Mining Algorithms and Applications (3 papers). King-Ip Lin collaborates with scholars based in United States, Finland and Hong Kong. King-Ip Lin's co-authors include Rakesh Agrawal, Kyuseok Shim, Harpreet Sawhney, Christos Faloutsos, Padhraic Smyth, Heikki Mannila, Gautam Das, Vikrant Kobla, David Doermann and Euripides G. M. Petrakis and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, ACM SIGMOD Record and Knowledge and Information Systems.

In The Last Decade

Co-authorship network of co-authors of King-Ip Lin i

Fields of papers citing papers by King-Ip Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by King-Ip Lin

Since Specialization
Citations

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).

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.

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2025