Lay-Ki Soon
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Hate Speech and Cyberbullying Detection
- Sentiment Analysis and Opinion Mining
- Natural Language Processing Techniques
- Signal Processing top 10%
- Data Management and Algorithms
- Advanced Malware Detection Techniques
Papers in
-
- Topic Modeling 14
- Natural Language Processing Techniques 9
- Advanced Text Analysis Techniques 9
- Semantic Web and Ontologies 7
- Sentiment Analysis and Opinion Mining 5
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- Web Data Mining and Analysis 8
- Co-authors
- Sang Ho Lee (6 shared papers)Su-Cheng Haw (10 shared papers)Tin Tin Su (3 shared papers)Eu-Gene Siew (2 shared papers)Gholamreza Haffari (1 shared paper)Linhao Luo (2 shared papers)Lizhen Qu (3 shared papers)Yufei Wang (1 shared paper)
- Journals
- Expert Systems with Applications (2 papers)IEEE Access (2 papers)IEEE Transactions on Dependable and Secure Computing (1 paper)Digital Health (1 paper)Multimedia Tools and Applications (1 paper)
- Partner nations
- MalaysiaSouth KoreaAustralia
In The Last Decade
Lay-Ki Soon
37 papers receiving 206 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 153
- Signal Processing 47
- Information Systems 56
- Computer Networks and Communications 33
- Social Psychology 28
Countries citing papers authored by Lay-Ki Soon
This map shows the geographic impact of Lay-Ki Soon'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 Lay-Ki Soon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lay-Ki Soon more than expected).
Fields of papers citing papers by Lay-Ki Soon
This network shows the impact of papers produced by Lay-Ki Soon. 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 Lay-Ki Soon. The network helps show where Lay-Ki Soon may publish in the future.
Co-authors
The 25 scholars most cited alongside Lay-Ki Soon, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 38 | |
| 2 | 2019 | 23 | |
| 3 | 2023 | 19 | |
| 4 | 2017 | 13 | |
| 5 | 2012 | 12 | |
| 6 | 2020 | 11 | |
| 7 | 2023 | 10 | |
| 8 | 2016 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 2014 | 6 | |
| 11 | An empirical study of similarity search in stock data | 2007 | 6 |
| 12 | 2008 | 5 | |
| 13 | 2013 | 4 | |
| 14 | 2019 | 4 | |
| 15 | 2017 | 4 | |
| 16 | 2008 | 4 | |
| 17 | 2011 | 4 | |
| 18 | 2018 | 4 | |
| 19 | 2013 | 4 | |
| 20 | An empirical study on harmonizing classification precision using IE patterns | 2010 | 3 |
About Lay-Ki Soon
Lay-Ki Soon is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications and Social Psychology, having authored 44 papers that have together received 222 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Advanced Database Systems and Queries (9 papers), Natural Language Processing Techniques (9 papers), Advanced Text Analysis Techniques (9 papers), Web Data Mining and Analysis (8 papers), Data Management and Algorithms (7 papers), Semantic Web and Ontologies (7 papers) and Sentiment Analysis and Opinion Mining (5 papers). The work is most often cited by research in Artificial Intelligence (153 citations), Signal Processing (47 citations), Information Systems (56 citations), Computer Networks and Communications (33 citations) and Social Psychology (28 citations). Lay-Ki Soon has collaborated with scholars based in Malaysia, South Korea and Australia. Frequent co-authors include Sang Ho Lee, Su-Cheng Haw, Tin Tin Su, Eu-Gene Siew, Gholamreza Haffari, Linhao Luo, Lizhen Qu, Yufei Wang, Ingrid Zukerman and Kyu‐Baek Hwang. Their work appears in journals such as Expert Systems with Applications, IEEE Access, IEEE Transactions on Dependable and Secure Computing, Digital Health and Multimedia Tools and Applications.
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.