Wan‐Ching Wu
Impact in
-
- Mobile Crowdsensing and Crowdsourcing
-
- Personal Information Management and User Behavior
Papers in
-
- Information Retrieval and Search Behavior 11
- Expert finding and Q&A systems 3
-
- Personal Information Management and User Behavior 4
- Co-authors
- Diane Kelly (7 shared papers)Jaime Arguello (4 shared papers)Avneesh Sud (1 shared paper)Falk Scholer (1 shared paper)William Webber (1 shared paper)R. Capra (2 shared papers)Muh‐Chyun Tang (1 shared paper)Kun Huang (1 shared paper)
- Journals
- Proceedings of the American Society for Information Science and Technology (2 papers)Vaccines (1 paper)International Journal of Medical Informatics (1 paper)Carolina Digital Repository (University of North Carolina at Chapel Hill) (1 paper)RMIT Research Repository (RMIT University Library) (1 paper)
- Partner nations
- United StatesTaiwanAustralia
In The Last Decade
Wan‐Ching Wu
15 papers receiving 369 citations
Peers
Comparison fields: 5 of 50
- Computer Science Applications 79
- Information Systems and Management 93
- Information Systems 279
- Library and Information Sciences 8
- Communication 30
Countries citing papers authored by Wan‐Ching Wu
This map shows the geographic impact of Wan‐Ching Wu'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 Wan‐Ching Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan‐Ching Wu more than expected).
Fields of papers citing papers by Wan‐Ching Wu
This network shows the impact of papers produced by Wan‐Ching Wu. 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 Wan‐Ching Wu. The network helps show where Wan‐Ching Wu may publish in the future.
Co-authors
The 18 scholars most cited alongside Wan‐Ching Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 108 | |
| 2 | 2012 | 60 | |
| 3 | 2013 | 54 | |
| 4 | 2012 | 48 | |
| 5 | 2014 | 39 | |
| 6 | 2014 | 21 | |
| 7 | 2023 | 10 | |
| 8 | 2013 | 10 | |
| 9 | 2012 | 9 | |
| 10 | 2013 | 9 | |
| 11 | A study of generating teaching portfolio from LMS logs | 2010 | 3 |
| 12 | 2013 | 2 | |
| 13 | 2019 | 1 | |
| 14 | 2014 | 1 | |
| 15 | 2012 | 1 |
About Wan‐Ching Wu
Wan‐Ching Wu is a scholar working on Information Systems, Information Systems and Management, Sociology and Political Science, Computer Science Applications and General Health Professions, having authored 15 papers that have together received 376 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (11 papers), Personal Information Management and User Behavior (4 papers), Expert finding and Q&A systems (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Misinformation and Its Impacts (2 papers), Digital Marketing and Social Media (2 papers), Advanced Text Analysis Techniques (1 paper) and Educational Research and Pedagogy (1 paper). The work is most often cited by research in Computer Science Applications (79 citations), Information Systems and Management (93 citations), Information Systems (279 citations), Library and Information Sciences (8 citations) and Communication (30 citations). Wan‐Ching Wu has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Diane Kelly, Jaime Arguello, Avneesh Sud, Falk Scholer, William Webber, R. Capra, Muh‐Chyun Tang, Kun Huang, Ying‐Hsang Liu and Carol Strong. Their work appears in journals such as Proceedings of the American Society for Information Science and Technology, Vaccines, International Journal of Medical Informatics, Carolina Digital Repository (University of North Carolina at Chapel Hill) and RMIT Research Repository (RMIT University Library).
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.