Yue Su

658 citations
14 papers · 434 · 1 hit paper · h-index 7

Impact in

    • Public Relations and Crisis Communication
  • Health top 10%
    • Vaccine Coverage and Hesitancy

Papers in

Yue Su

12 papers receiving 427 citations

Yue Su's Hit Papers

Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach 2020 · 259 citations
2590+2+4Years since publication50100150200250

Peers

Yue Su
Comparison fields: 5 of 74
  • Communication 61
  • Health 49
  • Modeling and Simulation 26
  • Applied Psychology 26
  • Sociology and Political Science 181
Replace Wang Liao with:
Wang Liao United States
Chengda Zheng Canada
Vidya Purushothaman United States
Wenjing Pian China
Lyle Ungar United States
Tuo Liu Germany
Wenxue Zou United States
Ryan J. B. Garcia United States
Joanne Chen Lyu United States
Thomas Frissen Belgium
Yue Su relative to Wang Liao United States Wang Liao's profile →
Citations per field
00.5×1.6×
Wang Liao · 1×
Citations per year

Countries citing papers authored by Yue Su

Since Specialization
Citations

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

Fields of papers citing papers by Yue Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Yue Su, 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 Yue Su Line = papers co-authored together Yue Su links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach
Hit paper breakdown →
2020259
2 202094
3 202026
4 202416
5 202110
6 20239
7 20238
8 20235
9 20233
10 20192
11 20221
12 20201
13 20230
14 20230

About Yue Su

Yue Su is a scholar working on Infectious Diseases, Social Psychology, Clinical Psychology, Sociology and Political Science and Artificial Intelligence, having authored 14 papers that have together received 434 indexed citations. Recurring topics across this work include Mental Health via Writing (3 papers), Sentiment Analysis and Opinion Mining (2 papers), Misinformation and Its Impacts (2 papers), COVID-19 and Mental Health (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Vaccine Coverage and Hesitancy (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Communication (61 citations), Health (49 citations), Modeling and Simulation (26 citations), Applied Psychology (26 citations) and Sociology and Political Science (181 citations). Yue Su has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Tingshao Zhu, Jia Xue, Chen Chen, Junxiang Chen, Ran Hu, Chengda Zheng, Peijing Wu, Xiaoqian Liu, Tianli Liu and Sijia Li. Their work appears in journals such as International Journal of Environmental Research and Public Health, Frontiers in Public Health, Journal of Medical Internet Research, Frontiers in Psychiatry and Frontiers in Immunology.

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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