Yi Ping Mou

81 papers receiving 1.9k citations

Yi Ping Mou's Hit Papers

The media inequality: Comparing the initial human-human and human-AI social interactions 2017 · 249 citations
2490+3+6Years since publication50100150200

Peers

Yi Ping Mou
Comparison fields: 5 of 171
  • Communication 246
  • Health Informatics 23
  • Applied Psychology 59
  • Safety Research 94
  • Sociology and Political Science 497
Replace Luca Maria Aiello with:
Luca Maria Aiello Italy
Jinhee Kim South Korea
Xiao Xiao China
Hyun Seung Jin Australia
Nova Ahmed Bangladesh
Han Zheng China
Yu‐Ru Lin United States
James E. Andrews United States
Mark Hartswood United Kingdom
Jooyoung Kim South Korea
Yi Ping Mou relative to Luca Maria Aiello Italy Luca Maria Aiello's profile →
Citations per field
00.5×2×4×6.3×
Luca Maria Aiello · 1×
Citations per year

Countries citing papers authored by Yi Ping Mou

Since Specialization
Citations

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

Fields of papers citing papers by Yi Ping Mou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi Ping Mou. 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 Yi Ping Mou. The network helps show where Yi Ping Mou may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The media inequality: Comparing the initial human-human and human-AI social interactions
Hit paper breakdown →
2017249
2 2007188
3 2015137
4 2015110
5 201495
6 200366
7 201966
8 201161
9 201959
10 201349
11 201435
12 201535
13 201734
14
The selective inhibition of beta 1 and beta 7 integrin-mediated lymphocyte adhesion by bacitracin.
199834
15 200834
16 200932
17 201731
18 201729
19 201726
20 202426

About Yi Ping Mou

Yi Ping Mou is a scholar working on Communication, Social Psychology, Sociology and Political Science, Gender Studies and Analytical Chemistry, having authored 90 papers that have together received 1.9k indexed citations. Recurring topics across this work include Social Media and Politics (9 papers), Gender, Feminism, and Media (7 papers), AI in Service Interactions (6 papers), Spectroscopy and Chemometric Analyses (5 papers), Misinformation and Its Impacts (5 papers), Social Robot Interaction and HRI (5 papers), Media Influence and Health (5 papers) and Media, Gender, and Advertising (5 papers). The work is most often cited by research in Communication (246 citations), Health Informatics (23 citations), Applied Psychology (59 citations), Safety Research (94 citations) and Sociology and Political Science (497 citations). Yi Ping Mou has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Kun Xu, Carolyn A. Lin, David J. Atkin, Xiu Jun Cai, Shu You Peng, Yihua Zhang, Wei Peng, Wan Yee Lau, Hui Ji and Tong Chen. Their work appears in journals such as International Journal of Human-Computer Interaction, Chinese Journal of Communication, Computers in Human Behavior, New Media & Society and Journal of Broadcasting & Electronic Media.

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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