Yan Qu

456 citations
24 papers · 252 · h-index 9

Impact in

    • Social Media and Politics
    • Public Relations and Crisis Communication
    • Sentiment Analysis and Opinion Mining
    • Advanced Text Analysis Techniques
    • Topic Modeling
    • Natural Language Processing Techniques

Papers in

Yan Qu

20 papers receiving 232 citations

Peers

Yan Qu
Comparison fields: 5 of 54
  • Communication 73
  • Artificial Intelligence 111
  • Sociology and Political Science 105
  • Statistical and Nonlinear Physics 20
  • General Social Sciences 4
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Citations per field
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Citations per year

Countries citing papers authored by Yan Qu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yan Qu, 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 Yan Qu Line = papers co-authored together Yan Qu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200469
2 202128
3 201927
4
Computing Attitude and Affect in Text: Theory and Applications (The Information Retrieval Series)
200524
5 202124
6 201914
7 202112
8
Community Response Grids for Older Adults: Motivations, Usability, and Sociability
200710
9 201910
10
The effect of pseudo relevance feedback on MT-based CLIR
20007
11 20056
12 20235
13 20224
14 20244
15
Exploring attitude and affect in text : theories and applications : papers from the 2004 AAAI Symposium, March 22-24, Stanford, California
20042
16 20252
17
Justsystem-Clairvoyance CLIR Experiments at NTCIR-4 Workshop
20041
18
Psychological Intervention in Sudden Disastrous Events
20091
19 20211
20 20221

About Yan Qu

Yan Qu is a scholar working on Communication, Sociology and Political Science, Artificial Intelligence, Strategy and Management and Literature and Literary Theory, having authored 24 papers that have together received 252 indexed citations. Recurring topics across this work include Social Media and Politics (9 papers), Public Relations and Crisis Communication (6 papers), Topic Modeling (4 papers), Nonprofit Sector and Volunteering (3 papers), Corporate Social Responsibility Reporting (3 papers), Knowledge Management and Sharing (3 papers), Information Retrieval and Search Behavior (2 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Communication (73 citations), Artificial Intelligence (111 citations), Sociology and Political Science (105 citations), Statistical and Nonlinear Physics (20 citations) and General Social Sciences (4 citations). Yan Qu has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Adam J. Saffer, James G. Shanahan, David A. Evans, Gregory Grefenstette, Aimei Yang, Lucinda Austin, Janyce Wiebe, Jordan Morehouse, Hye Min Kim and Jingyi Sun. Their work appears in journals such as Public Relations Review, Journal of Public Relations Research, Journal of the Association for Information Systems, Asian Journal of Communication and Health Communication.

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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