Eu-Gene Siew
Impact in
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- Technology Adoption and User Behaviour
- Management Information Systems top 10%
Papers in
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- Web Data Mining and Analysis 11
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- Advanced Text Analysis Techniques 9
- Topic Modeling 9
- Text and Document Classification Technologies 6
- Sentiment Analysis and Opinion Mining 5
- Algorithms and Data Compression 4
- Co-authors
- Paul H.P. Yeow (8 shared papers)Sylvester Olubolu Orimaye (9 shared papers)Yakub Sebastian (3 shared papers)Saadat Mehmood Alhashmi (11 shared papers)Lay-Ki Soon (3 shared papers)Ramesh Kumar Ayyasamy (5 shared papers)Kate Smith‐Miles (4 shared papers)Nicholas Grigoriou (1 shared paper)
In The Last Decade
Eu-Gene Siew
35 papers receiving 427 citations
Peers
Comparison fields: 5 of 74
- Information Systems and Management 117
- Management Information Systems 58
- Accounting 63
- Information Systems 133
- Artificial Intelligence 187
Countries citing papers authored by Eu-Gene Siew
This map shows the geographic impact of Eu-Gene Siew'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 Eu-Gene Siew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eu-Gene Siew more than expected).
Fields of papers citing papers by Eu-Gene Siew
This network shows the impact of papers produced by Eu-Gene Siew. 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 Eu-Gene Siew. The network helps show where Eu-Gene Siew may publish in the future.
Co-authors
The 18 scholars most cited alongside Eu-Gene Siew, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 90 | |
| 2 | 2012 | 68 | |
| 3 | 2009 | 42 | |
| 4 | 2017 | 35 | |
| 5 | 2016 | 32 | |
| 6 | 2023 | 24 | |
| 7 | Computer-assisted auditing tools acceptance using I-TOE: A new paradigm | 2012 | 17 |
| 8 | Adoption of audit technology in audit firms | 2013 | 15 |
| 9 | 2016 | 13 | |
| 10 | 2016 | 13 | |
| 11 | 2012 | 9 | |
| 12 | 2010 | 9 | |
| 13 | 2012 | 9 | |
| 14 | 2003 | 8 | |
| 15 | 2015 | 7 | |
| 16 | 2010 | 7 | |
| 17 | 2010 | 7 | |
| 18 | 2017 | 7 | |
| 19 | 2013 | 6 | |
| 20 | 2009 | 5 |
About Eu-Gene Siew
Eu-Gene Siew is a scholar working on Information Systems, Artificial Intelligence, Information Systems and Management, Management Information Systems and Health Information Management, having authored 42 papers that have together received 456 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (11 papers), Advanced Text Analysis Techniques (9 papers), Topic Modeling (9 papers), Text and Document Classification Technologies (6 papers), Caching and Content Delivery (5 papers), Technology Adoption and User Behaviour (5 papers), Sentiment Analysis and Opinion Mining (5 papers) and Algorithms and Data Compression (4 papers). The work is most often cited by research in Information Systems and Management (117 citations), Management Information Systems (58 citations), Accounting (63 citations), Information Systems (133 citations) and Artificial Intelligence (187 citations). Eu-Gene Siew has collaborated with scholars based in Malaysia, Australia and Vietnam. Frequent co-authors include Paul H.P. Yeow, Sylvester Olubolu Orimaye, Yakub Sebastian, Saadat Mehmood Alhashmi, Lay-Ki Soon, Ramesh Kumar Ayyasamy, Kate Smith‐Miles, Nicholas Grigoriou, Leonid P. Churilov and Leonid Pavlovich Churilov. Their work appears in journals such as The Knowledge Engineering Review, Journal of Evaluation in Clinical Practice, Journal of the Association for Information Systems, World Wide Web 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.