Yu Chi
Impact in
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- Library Science and Information Literacy
- Artificial Intelligence top 5%
- Advanced Text Analysis Techniques
- Topic Modeling
Papers in
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- Health Literacy and Information Accessibility 9
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- Information Retrieval and Search Behavior 7
- Web Data Mining and Analysis 2
- Co-authors
- Daqing He (17 shared papers)Shuguang Han (6 shared papers)Rui Meng (5 shared papers)Peter L. Brusilovsky (6 shared papers)Sanqiang Zhao (2 shared papers)Wei Jeng (5 shared papers)Tingting Jiang (4 shared papers)Leanne Bowler (2 shared papers)
- Journals
- Journal of the Association for Information Science and Technology (2 papers)The Electronic Library (1 paper)Information Processing & Management (1 paper)Journal of Documentation (1 paper)Journal of Medical Internet Research (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Yu Chi
27 papers receiving 557 citations
Peers
Comparison fields: 5 of 57
- Library and Information Sciences 36
- Artificial Intelligence 251
- Information Systems 133
- Computer Science Applications 20
- General Health Professions 60
Countries citing papers authored by Yu Chi
This map shows the geographic impact of Yu Chi'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 Yu Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Chi more than expected).
Fields of papers citing papers by Yu Chi
This network shows the impact of papers produced by Yu Chi. 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 Yu Chi. The network helps show where Yu Chi may publish in the future.
Co-authors
The 23 scholars most cited alongside Yu Chi, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 260 | |
| 2 | 2017 | 68 | |
| 3 | 2015 | 43 | |
| 4 | 2020 | 34 | |
| 5 | 2023 | 34 | |
| 6 | 2018 | 17 | |
| 7 | 2017 | 16 | |
| 8 | 2017 | 12 | |
| 9 | 2018 | 12 | |
| 10 | 2022 | 10 | |
| 11 | 2017 | 9 | |
| 12 | 2017 | 8 | |
| 13 | 2019 | 8 | |
| 14 | 2022 | 8 | |
| 15 | Exploring Knowledge Learning in Collaborative Information Seeking Process. | 2016 | 7 |
| 16 | 2022 | 7 | |
| 17 | 2017 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2019 | 3 |
About Yu Chi
Yu Chi is a scholar working on General Health Professions, Information Systems, Library and Information Sciences, Literature and Literary Theory and Sociology and Political Science, having authored 29 papers that have together received 584 indexed citations. Recurring topics across this work include Health Literacy and Information Accessibility (9 papers), Information Retrieval and Search Behavior (7 papers), Library Science and Information Literacy (4 papers), E-Government and Public Services (2 papers), Web Data Mining and Analysis (2 papers), Advanced Text Analysis Techniques (2 papers), Privacy, Security, and Data Protection (2 papers) and Substance Abuse Treatment and Outcomes (2 papers). The work is most often cited by research in Library and Information Sciences (36 citations), Artificial Intelligence (251 citations), Information Systems (133 citations), Computer Science Applications (20 citations) and General Health Professions (60 citations). Yu Chi has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Daqing He, Shuguang Han, Rui Meng, Peter L. Brusilovsky, Sanqiang Zhao, Wei Jeng, Tingting Jiang, Leanne Bowler, Amelia Acker and Fang Liu. Their work appears in journals such as Journal of the Association for Information Science and Technology, The Electronic Library, Information Processing & Management, Journal of Documentation and Journal of Medical Internet Research.
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.