King-Ip Lin

3.3k total citations · 1 hit paper
31 papers, 2.2k citations indexed

About

King-Ip Lin is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, King-Ip Lin has authored 31 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 17 papers in Signal Processing and 13 papers in Information Systems. Recurrent topics in King-Ip Lin's work include Data Management and Algorithms (13 papers), Data Mining Algorithms and Applications (9 papers) and Algorithms and Data Compression (6 papers). King-Ip Lin is often cited by papers focused on Data Management and Algorithms (13 papers), Data Mining Algorithms and Applications (9 papers) and Algorithms and Data Compression (6 papers). King-Ip Lin collaborates with scholars based in United States, Canada and Hong Kong. King-Ip Lin's co-authors include Christos Faloutsos, Kyuseok Shim, Harpreet Sawhney, Rakesh Agrawal, Heikki Mannila, Gautam Das, Padhraic Smyth, Cheng Yang, Vikrant Kobla and David Doermann 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

King-Ip Lin

29 papers receiving 1.9k citations

Hit Papers

align trajectories

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
King-Ip Lin United States	17	1.3k	813	805	517	378	31	2.2k
Caetano Traina Brazil	21	763 0.6×	825 1.0×	1.0k 1.3×	391 0.8×	366 1.0×	222	2.2k
Ira Assent Denmark	27	889 0.7×	1.6k 2.0×	532 0.7×	370 0.7×	434 1.1×	98	2.3k
Flip Korn United States	26	1.5k 1.1×	1.3k 1.6×	448 0.6×	591 1.1×	1.2k 3.2×	64	2.7k
Spiros Papadimitriou United States	23	665 0.5×	1.5k 1.8×	456 0.6×	547 1.1×	773 2.0×	53	2.7k
Jiong Yang United States	26	1.3k 0.9×	1.5k 1.9×	685 0.9×	1.4k 2.7×	539 1.4×	63	3.0k
Pavel Zezula Czechia	19	1.7k 1.2×	907 1.1×	1.6k 2.0×	424 0.8×	697 1.8×	119	2.7k
Marios Hadjieleftheriou United States	28	1.6k 1.2×	1.2k 1.4×	438 0.5×	856 1.7×	1.1k 3.0×	53	2.7k
Kyu-Young Whang South Korea	19	1.5k 1.1×	817 1.0×	333 0.4×	465 0.9×	1.1k 2.8×	118	2.5k
Stephen Kelley United States	10	1.0k 0.8×	729 0.9×	518 0.6×	346 0.7×	817 2.2×	22	2.5k
Byron Choi Hong Kong	23	629 0.5×	904 1.1×	480 0.6×	466 0.9×	656 1.7×	126	1.7k

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of King-Ip Lin. A scholar is included among the top collaborators of King-Ip Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with King-Ip Lin. King-Ip Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

King, E., et al.. (2022). Semi-automatic Residential Floor Plan Detection: Developing a Tool for Humanities Research. Journal on Computing and Cultural Heritage. 15(4). 1–19.

2.

Lin, King-Ip, et al.. (2018). Improving Topic Model Visualization via Multi-Dimensional Scaling and Cliques.. The Florida AI Research Society. 180–183. 1 indexed citations

3.

Lin, King-Ip, et al.. (2014). Optimizing database index performance for solid state drives. 237–246. 2 indexed citations

4.

Wang, Jin, Quan Tang, Scotty D. Craig, et al.. (2013). Discovering the relationship between student effort and ability for predicting the performance of technology-assisted learning in a mathematics after-school program. Educational Data Mining. 354–355.

5.

Lin, King-Ip, et al.. (2013). Automated parameter estimation process for clustering algorithms used in software maintenance. 1–6. 3 indexed citations

6.

Datla, Vivek V., King-Ip Lin, & Max M. Louwerse. (2012). Capturing disease-symptom relations using higher-order co-occurrence algorithms. 36. 816–821. 3 indexed citations

7.

Lin, King-Ip, et al.. (2011). Using a feedback system to enhance chart note quality in Electronic Health Records. 47. 649–654. 1 indexed citations

8.

Lin, King-Ip, et al.. (2007). Machine Learning Techniques in Detecting of Pulmonary Embolisms. IEEE International Conference on Neural Networks. 385–390. 1 indexed citations

9.

Rus, Vasile, Arthur C. Graesser, Philip M. McCarthy, & King-Ip Lin. (2005). A study on textual entailment. 22. 8 pp.–333. 5 indexed citations

10.

Lo, Eric, Kevin Y. Yip, King-Ip Lin, & David W. Cheung. (2005). Progressive skylining over Web-accessible databases. Data & Knowledge Engineering. 57(2). 122–147. 32 indexed citations

11.

Lin, King-Ip & Hui Chen. (2005). Automatic information discovery from the "invisible Web". 332–337. 22 indexed citations

12.

Yang, Cheng & King-Ip Lin. (2002). An index structure for efficient reverse nearest neighbor queries. 485–492. 115 indexed citations

13.

Petrakis, Euripides G. M., Christos Faloutsos, & King-Ip Lin. (2002). ImageMap: an image indexing method based on spatial similarity. IEEE Transactions on Knowledge and Data Engineering. 14(5). 979–987. 69 indexed citations

14.

Lin, King-Ip, et al.. (2001). A word-based soft clustering algorithm for documents.. Computers and Their Applications. 391–394. 13 indexed citations

15.

Marcus, Andrian, Jonathan I. Maletic, & King-Ip Lin. (2001). Ordinal association rules for error identification in data sets. 589–591. 19 indexed citations

16.

Wang, Xiong, Jason T. L. Wang, King-Ip Lin, et al.. (2000). An Index Structure for Data Mining and Clustering. Knowledge and Information Systems. 2(2). 161–184. 41 indexed citations

17.

Das, Gautam, et al.. (1998). Rule discovery from time series. Knowledge Discovery and Data Mining. 16–22. 377 indexed citations

18.

Agrawal, Rakesh, King-Ip Lin, Harpreet Sawhney, & Kyuseok Shim. (1995). Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases. Very Large Data Bases. 490–501. 409 indexed citations

19.

Faloutsos, Christos & King-Ip Lin. (1995). FastMap. 163–174. 618 indexed citations breakdown →

20.

Faloutsos, Christos & King-Ip Lin. (1995). FastMap. ACM SIGMOD Record. 24(2). 163–174. 110 indexed citations

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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