Rowena Chau

550 citations
17 papers · 163 · h-index 7

Impact in

    • Evolutionary Algorithms and Applications
    • Natural Language Processing Techniques
    • Metaheuristic Optimization Algorithms Research
    • Topic Modeling
    • Text and Document Classification Technologies
    • Advanced Text Analysis Techniques
    • Web Data Mining and Analysis
    • Recommender Systems and Techniques

Papers in

    • Text and Document Classification Technologies 7
    • Advanced Text Analysis Techniques 3
    • Natural Language Processing Techniques 3
    • Semantic Web and Ontologies 2
    • Web Data Mining and Analysis 7

Rowena Chau

15 papers receiving 137 citations

Peers

Rowena Chau
Comparison fields: 5 of 42
  • Artificial Intelligence 122
  • Information Systems 51
  • Computational Theory and Mathematics 20
  • Computer Science Applications 5
  • Signal Processing 8
Replace Sang-Hyeun Park with:
Sang-Hyeun Park Germany
Adam Groce United States
Esha Ghosh United States
Nathalie Pernelle France
Jakob Pagter Denmark
Mitja Lenič Slovenia
Stefan Naujokat Germany
Gerard Ellis United States
Taiyu Ban China
Lewis M. Norton United States
Rowena Chau relative to Sang-Hyeun Park Germany Sang-Hyeun Park's profile →
Citations per field
00.5×1.7×
Sang-Hyeun Park · 1×
Citations per year

Countries citing papers authored by Rowena Chau

Since Specialization
Citations

This map shows the geographic impact of Rowena Chau'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 Rowena Chau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rowena Chau more than expected).

Fields of papers citing papers by Rowena Chau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rowena Chau. 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 Rowena Chau. The network helps show where Rowena Chau may publish in the future.

Co-authors

The 23 scholars most cited alongside Rowena Chau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rowena Chau Line = papers co-authored together Rowena Chau links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 200347
2
Discovering parallel text from the World Wide Web
200436
3 200415
4 200912
5
A ConceptLink graph for text structure mining
200910
6 20157
7 20066
8 20046
9 20035
10 20045
11 20085
12 20044
13 20043
14 20001
15 20051
16 20030
17 20060

About Rowena Chau

Rowena Chau is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Molecular Biology and Management Science and Operations Research, having authored 17 papers that have together received 163 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (7 papers), Web Data Mining and Analysis (7 papers), Data Management and Algorithms (5 papers), Advanced Text Analysis Techniques (3 papers), Natural Language Processing Techniques (3 papers), Semantic Web and Ontologies (2 papers), Machine Learning in Bioinformatics (2 papers) and Multi-Criteria Decision Making (2 papers). The work is most often cited by research in Artificial Intelligence (122 citations), Information Systems (51 citations), Computational Theory and Mathematics (20 citations), Computer Science Applications (5 citations) and Signal Processing (8 citations). Rowena Chau has collaborated with scholars based in Australia, Canada and Singapore. Frequent co-authors include Chung‐Hsing Yeh, Bob McKay, Daryl Essam, Nguyễn Xuân Hoài, Damminda Alahakoon, Ah Chung Tsoi, Vincent C. S. Lee, Markus Hagenbuchner, Daniel D. Buchanan and John L. Hopper. Their work appears in journals such as Neural Computing and Applications, IEEE Internet Computing, Knowledge-Based Systems, Familial Cancer and HKBU Institutional Repository (Hong Kong Baptist University).

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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