Ying‐Hsang Liu
- Information Systems top 5%
- Artificial Intelligence top 10%
- Sociology and Political Science
- Communication top 10%
- Human-Computer Interaction top 5%
- Co-authors
- Nina WacholderPhilip HiderMuhammad Asim QayyumKirsty WilliamsonTom GedeonChang LiuIk Soo LimRalf Bierig
- Topics
- Information Retrieval and Search Behavior (18 papers)Semantic Web and Ontologies (9 papers)Advanced Text Analysis Techniques (8 papers)
- Partner nations
- AustraliaUnited StatesSweden
In The Last Decade
Ying‐Hsang Liu
54 papers receiving 413 citations
Peers
Comparison fields: 5 of 84
- Information Systems 149
- Artificial Intelligence 132
- Sociology and Political Science 97
- Communication 74
- Human-Computer Interaction 63
Countries citing papers authored by Ying‐Hsang Liu
This map shows the geographic impact of Ying‐Hsang Liu'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 Ying‐Hsang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying‐Hsang Liu more than expected).
Fields of papers citing papers by Ying‐Hsang Liu
This network shows the impact of papers produced by Ying‐Hsang Liu. 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 Ying‐Hsang Liu. The network helps show where Ying‐Hsang Liu may publish in the future.
Co-authorship network of co-authors of Ying‐Hsang Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐Hsang Liu. A scholar is included among the top collaborators of Ying‐Hsang Liu 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 Ying‐Hsang Liu. Ying‐Hsang Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 12 | |
| 8 | 19 | |
| 9 | 28 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | Contexts of Information Seeking in Self-tracking and the Design of Lifelogging Systems | 3 |
| 14 | Modelling marketing professionals' information behaviour in the workplace: towards a holistic understanding | 13 |
| 15 | 10 | |
| 16 | 5 | |
| 17 | A Meta-Analysis of the Effects of Search Experience on Search Performance in Terms of the Recall Measure in Controlled IR User Experiments | 2 |
| 18 | The impact of domain knowledge and search training on search effectiveness | 1 |
| 19 | 3 | |
| 20 | Rutgers' HARD Track Experiences at TREC 2004 | 10 |
About Ying‐Hsang Liu
Ying‐Hsang Liu is a scholar working on Human-Computer Interaction, Information Systems and Information Systems and Management, having authored 58 papers that have together received 449 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (18 papers), Semantic Web and Ontologies (9 papers) and Advanced Text Analysis Techniques (8 papers). The work is most often cited by research in Library and Information Sciences (20 citations), Human-Computer Interaction (63 citations) and Communication (74 citations). Ying‐Hsang Liu has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include Nina Wacholder, Philip Hider, Muhammad Asim Qayyum, Kirsty Williamson, Tom Gedeon, Chang Liu, Ik Soo Lim, Ralf Bierig, Péter Wittek and Peng Zhu. Their work appears in journals such as Expert Systems with Applications, Frontiers in Psychology and Information Processing & Management.
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.