Lingyao Yuan

986 citations
24 papers · 631 indexed · h-index 11
Topics
AI in Service Interactions (5 papers)Digital Marketing and Social Media (4 papers)Consumer Behavior in Brand Consumption and Identification (3 papers)
Partner nations
United StatesAustralia

In The Last Decade

Lingyao Yuan

24 papers receiving 592 citations

Peers

Lingyao Yuan
Comparison fields: 5 of 73
  • Sociology and Political Science 194
  • Artificial Intelligence 188
  • Management Science and Operations Research 133
  • Social Psychology 103
  • Finance 102
Replace Verena Dorner with:
Verena Dorner Germany
Mateusz Dolata Switzerland
Benedikt Berger Germany
Jens Mattke Germany
Alex Zarifis China
Kristy Milland Canada
de Bert Brock Netherlands
Douglas C. Derrick United States
Jui-Long Hung United States
Johannes Schneider Liechtenstein
Lingyao Yuan relative to Verena Dorner Germany Verena Dorner's profile →
Citations per field
00.5×3.6×
Verena Dorner · 1×
Citations per year

Countries citing papers authored by Lingyao Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Lingyao Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingyao Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Lingyao Yuan. A scholar is included among the top collaborators of Lingyao Yuan 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 Lingyao Yuan. Lingyao Yuan 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
#WorkIndexed citations
1 10
2 3
3 4
4 22
5 3
6 43
7 70
8 11
9 2
10 21
11 25
12 90
13 10
14
Interacting Like Humans? Understanding the Neurophysiological Processes of Anthropomorphism and Consumer’s Willingness to Pay in Online Auctions
3
15 4
16 162
17 1
18 8
19 69
20 14

About Lingyao Yuan

Lingyao Yuan is a scholar working on Marketing, Human-Computer Interaction and Safety Research, having authored 24 papers that have together received 631 indexed citations. Recurring topics across this work include AI in Service Interactions (5 papers), Digital Marketing and Social Media (4 papers) and Consumer Behavior in Brand Consumption and Identification (3 papers). The work is most often cited by research in Human-Computer Interaction (77 citations), Marketing (99 citations) and Management Science and Operations Research (133 citations). Lingyao Yuan has collaborated with scholars based in United States and Australia. Frequent co-authors include Alan R. Dennis, Kai Riemer, Mike Seymour, Xuan Joanna Feng, Souren Paul, Michelle X. Zhou, Jordan B. Barlow, Haluk Demirkan, Lina Zhou and Hila Lifshitz‐Assaf. Their work appears in journals such as PLoS ONE, Communications of the ACM and Information Systems 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.

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