Ying Ding

783 citations
13 papers · 592 · 1 hit paper · h-index 10

Impact in

Papers in

    • Consumer Behavior in Brand Consumption and Identification 4
    • Consumer Retail Behavior Studies 2
    • Cultural Differences and Values 3

Ying Ding

13 papers receiving 577 citations

Ying Ding's Hit Papers

The magic of danmaku: A social interaction perspective of gift sending on live streaming platforms 2018 · 203 citations
2030+2+5Years since publication50100150200

Peers

Ying Ding
Comparison fields: 5 of 67
  • Marketing 327
  • Information Systems and Management 122
  • Organizational Behavior and Human Resource Management 151
  • Applied Psychology 49
  • Sociology and Political Science 347
Replace Scott D. Swain with:
Scott D. Swain United States
Jae Min Jung United States
Stefan F. Bernritter Netherlands
Haksin Chan Hong Kong
Héctor González‐Jiménez United Kingdom
Jung‐Hua Chang Taiwan
Diogo Fajardo Nunes Hildebrand United States
Han Shen China
Frank Mathmann Australia
Chen‐Su Fu Taiwan
Ying Ding relative to Scott D. Swain United States Scott D. Swain's profile →
Citations per field
00.5×1.5×
Scott D. Swain · 1×
Citations per year

Countries citing papers authored by Ying Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ying Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Ying Ding, 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 Ying Ding Line = papers co-authored together Ying Ding links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
The magic of danmaku: A social interaction perspective of gift sending on live streaming platforms
Hit paper breakdown →
2018203
2 2017122
3 2016121
4 202129
5 202023
6 202219
7 202019
8 201717
9 202216
10 202010
11 20167
12 20225
13 20231

About Ying Ding

Ying Ding is a scholar working on Marketing, Social Psychology, Organizational Behavior and Human Resource Management, Applied Psychology and Sociology and Political Science, having authored 13 papers that have together received 592 indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (4 papers), Social and Intergroup Psychology (3 papers), Cultural Differences and Values (3 papers), Customer Service Quality and Loyalty (3 papers), Behavioral Health and Interventions (2 papers), Digital Marketing and Social Media (2 papers), Consumer Retail Behavior Studies (2 papers) and Digital Games and Media (1 paper). The work is most often cited by research in Marketing (327 citations), Information Systems and Management (122 citations), Organizational Behavior and Human Resource Management (151 citations), Applied Psychology (49 citations) and Sociology and Political Science (347 citations). Ying Ding has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Hean Tat Keh, Hansheng Wang, Jilei Zhou, Jun Pang, Xia Wang, Lili Wang, Yanping Tu, Liangfei Qiu, Jingchuan Pu and Guoqing Guo. Their work appears in journals such as Journal of Consumer Psychology, Production and Operations Management, European Journal of Marketing, Marketing Letters and Journal of Business 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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