Yue Dai

795 total citations
35 papers, 484 citations indexed

About

Yue Dai is a scholar working on Sociology and Political Science, Communication and Literature and Literary Theory. According to data from OpenAlex, Yue Dai has authored 35 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Sociology and Political Science, 11 papers in Communication and 8 papers in Literature and Literary Theory. Recurrent topics in Yue Dai's work include Media Influence and Health (8 papers), Misinformation and Its Impacts (8 papers) and Digital Marketing and Social Media (7 papers). Yue Dai is often cited by papers focused on Media Influence and Health (8 papers), Misinformation and Its Impacts (8 papers) and Digital Marketing and Social Media (7 papers). Yue Dai collaborates with scholars based in Hong Kong, China and United States. Yue Dai's co-authors include Jingbo Meng, Joseph B. Walther, Soo Yun Shin, Jeong-woo Jang, Jingyuan Shi, Wei Peng, Minjin Rheu, Brandon Van Der Heide, Gary Bente and Ji Won Kim and has published in prestigious journals such as Computers in Human Behavior, Communication Research and Human Communication Research.

In The Last Decade

Yue Dai

32 papers receiving 465 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yue Dai Hong Kong 12 236 135 127 78 75 35 484
Kelly Merrill United States 14 229 1.0× 231 1.7× 143 1.1× 47 0.6× 44 0.6× 24 681
Joanne Hinds United Kingdom 11 357 1.5× 100 0.7× 65 0.5× 49 0.6× 90 1.2× 27 640
Han Lin Singapore 9 354 1.5× 102 0.8× 122 1.0× 43 0.6× 154 2.1× 27 621
Pinar Ozturk United States 8 304 1.3× 72 0.5× 121 1.0× 100 1.3× 110 1.5× 13 519
Samuel Hardman Taylor United States 13 326 1.4× 301 2.2× 270 2.1× 55 0.7× 93 1.2× 24 712
Xun Liu United States 11 183 0.8× 133 1.0× 120 0.9× 45 0.6× 51 0.7× 24 430
Randy Yee Man Wong Hong Kong 10 236 1.0× 178 1.3× 272 2.1× 22 0.3× 84 1.1× 17 539
Young June Sah South Korea 11 186 0.8× 184 1.4× 171 1.3× 61 0.8× 18 0.2× 28 511
Ji Won Kim United States 11 410 1.7× 47 0.3× 51 0.4× 43 0.6× 150 2.0× 35 659
Thomas Fischer Austria 10 197 0.8× 33 0.2× 184 1.4× 25 0.3× 37 0.5× 44 468

Countries citing papers authored by Yue Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yue Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Dai. A scholar is included among the top collaborators of Yue Dai 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 Yue Dai. Yue Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Rheu, Minjin, Yue Dai, Jingbo Meng, & Wei Peng. (2024). When a Chatbot Disappoints You: Expectancy Violation in Human-Chatbot Interaction in a Social Support Context. Communication Research. 51(7). 782–814. 19 indexed citations
3.
Dai, Yue, Jiyoung Lee, & Ji Won Kim. (2023). AI vs. Human Voices: How Delivery Source and Narrative Format Influence the Effectiveness of Persuasion Messages. International Journal of Human-Computer Interaction. 40(24). 8735–8749. 7 indexed citations
4.
Kim, Ji Won, Jiyoung Lee, & Yue Dai. (2023). Misinformation and the Paradox of Trust during the covid-19 pandemic in the U.S.: pathways to Risk perception and compliance behaviors. Journal of Risk Research. 26(5). 469–484. 4 indexed citations
5.
Meng, Jingbo, et al.. (2023). Mediated Social Support for Distress Reduction: AI Chatbots vs. Human. Proceedings of the ACM on Human-Computer Interaction. 7(CSCW1). 1–25. 30 indexed citations
6.
Shi, Jingyuan & Yue Dai. (2023). Audience–campaign planner interaction in social media communication campaigns: how it influences intended campaign responses in the observing audience. Human Communication Research. 49(3). 296–309. 5 indexed citations
7.
8.
Dai, Yue & Jingyuan Shi. (2022). Vicarious Interactions in Online Support Communities: The Roles of Visual Anonymity and Social Identification. Journal of Computer-Mediated Communication. 27(3). 13 indexed citations
9.
10.
Dai, Yue, et al.. (2022). The paradoxical effects of institutional trust on risk perception and risk management in the Covid-19 pandemic: evidence from three societies. Journal of Risk Research. 25(11-12). 1337–1355. 13 indexed citations
11.
Dai, Yue, et al.. (2022). The effects of self-generated and other-generated eWOM in inoculating against misinformation. Telematics and Informatics. 71. 101835–101835. 7 indexed citations
12.
Dai, Yue, Wenting Yu, & Fei Shen. (2021). The Effects of Message Order and Debiasing Information in Misinformation Correction. International journal of communication. 15. 21. 11 indexed citations
13.
Dai, Yue, Qiang Li, Hongrui Zhang, et al.. (2020). Research on Consumers’ Cognition and Demand for Food Label Information. IOP Conference Series Earth and Environmental Science. 512(1). 12071–12071. 4 indexed citations
14.
Dai, Yue, et al.. (2019). The Wisdom of the Crowd Versus the Wisdom in the Crowd: Testing the Effects of Aggregate User Representation, Valence, and Argument Strength on Attitude Formation in Online Reviews. International journal of communication. 13. 24. 7 indexed citations
15.
Dai, Yue, et al.. (2019). Seismic inversion based on deep learning and its impact by sample size. 65–68. 3 indexed citations
16.
Dai, Yue & Joseph B. Walther. (2018). Vicariously Experiencing Parasocial Intimacy with Public Figures Through Observations of Interactions on Social Media. Human Communication Research. 44(3). 322–342. 22 indexed citations
17.
Shin, Soo Yun, et al.. (2018). Curbing Negativity: Influence of Providing Justifications About Control Over User-Generated Comments on Social Media. Communication Research. 47(6). 838–859. 4 indexed citations
18.
Liu, Yi, et al.. (2017). SC-FDE Based Full-Duplex Relay Communication Robust to Residual Loop Interference. IEEE Wireless Communications Letters. 6(4). 538–541. 5 indexed citations
19.
Jang, Jeong-woo, et al.. (2017). Self-disclosure and liking in computer-mediated communication. Computers in Human Behavior. 71. 275–283. 44 indexed citations
20.
Dai, Yue, et al.. (2013). A New Hybrid Excited Magnetic Levitation Feeding Platform. Applied Mechanics and Materials. 385-386. 772–776.

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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