Dengfeng Yan

746 citations
21 papers · 571 · h-index 13

Impact in

    • Decision-Making and Behavioral Economics
  • Marketing top 2%
    • Consumer Behavior in Brand Consumption and Identification
    • Consumer Market Behavior and Pricing
    • Consumer Retail Behavior Studies

Papers in

Dengfeng Yan

20 papers receiving 537 citations

Peers

Dengfeng Yan
Comparison fields: 5 of 71
  • General Decision Sciences 74
  • Marketing 338
  • Applied Psychology 161
  • Social Psychology 131
  • Organizational Behavior and Human Resource Management 53
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Citations per field
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Citations per year

Countries citing papers authored by Dengfeng Yan

Since Specialization
Citations

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

Fields of papers citing papers by Dengfeng Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Dengfeng Yan, 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 Dengfeng Yan Line = papers co-authored together Dengfeng Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011125
2 201682
3 201370
4 201244
5 201641
6 201739
7 202024
8 201422
9 202121
10 201220
11 201517
12 201314
13 201812
14
Reducing the Spoiler Effect in Experiential Consumption
20099
15 20208
16 20238
17 20108
18 20193
19 20243
20
The Persuasiveness Power of Round Numbers: a Construal Level Theory Perspective
20151

About Dengfeng Yan

Dengfeng Yan is a scholar working on Marketing, Applied Psychology, Social Psychology, General Decision Sciences and Sociology and Political Science, having authored 21 papers that have together received 571 indexed citations. Recurring topics across this work include Behavioral Health and Interventions (10 papers), Consumer Behavior in Brand Consumption and Identification (10 papers), Decision-Making and Behavioral Economics (6 papers), Cultural Differences and Values (5 papers), Psychology of Social Influence (2 papers), Evolutionary Psychology and Human Behavior (2 papers), Customer Service Quality and Loyalty (2 papers) and Cognitive and psychological constructs research (2 papers). The work is most often cited by research in General Decision Sciences (74 citations), Marketing (338 citations), Applied Psychology (161 citations), Social Psychology (131 citations) and Organizational Behavior and Human Resource Management (53 citations). Dengfeng Yan has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Jaideep Sengupta, Jiewen Hong, Robert S. Wyer, Alex S.L. Tsang, Yuan Li, Rod Duclos, A. V. Muthukrishnan, Henry Fock, Allan K. K. Chan and Heping Li. Their work appears in journals such as Journal of Consumer Research, Journal of Consumer Psychology, Journal of Business Research, Journal of Marketing Research and Journal of Personality and Social Psychology.

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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