Min Ding

2.1k citations
58 papers · 1.4k · h-index 21

Impact in

    • Decision-Making and Behavioral Economics
  • Marketing top 1%
    • Consumer Market Behavior and Pricing
    • Consumer Behavior in Brand Consumption and Identification
    • Consumer Retail Behavior Studies

Papers in

    • Consumer Market Behavior and Pricing 11
    • Consumer Behavior in Brand Consumption and Identification 6
    • Economic and Environmental Valuation 12
    • Pharmaceutical Economics and Policy 4

Min Ding

53 papers receiving 1.4k citations

Peers

Min Ding
Comparison fields: 5 of 130
  • General Decision Sciences 207
  • Marketing 687
  • Economics and Econometrics 463
  • Management Science and Operations Research 197
  • Tourism, Leisure and Hospitality Management 24
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Rick L. Andrews United States
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Citations per field
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Citations per year

Countries citing papers authored by Min Ding

Since Specialization
Citations

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

Fields of papers citing papers by Min Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005244
2 2007164
3 2005114
4 200878
5 201470
6 201067
7 201665
8 201352
9 200851
10
NON-COMPENSATORY (AND COMPENSATORY) MODELS OF CONSIDERATION-SET DECISIONS
200945
11 200543
12 201736
13 201232
14 201130
15 200928
16 200827
17 201725
18 201825
19 201022
20 201321

About Min Ding

Min Ding is a scholar working on Marketing, Economics and Econometrics, General Decision Sciences, Management Science and Operations Research and Safety Research, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Economic and Environmental Valuation (12 papers), Consumer Market Behavior and Pricing (11 papers), Decision-Making and Behavioral Economics (9 papers), Consumer Behavior in Brand Consumption and Identification (6 papers), Advanced Image Fusion Techniques (4 papers), Experimental Behavioral Economics Studies (4 papers), Pharmaceutical Economics and Policy (4 papers) and Color perception and design (3 papers). The work is most often cited by research in General Decision Sciences (207 citations), Marketing (687 citations), Economics and Econometrics (463 citations), Management Science and Operations Research (197 citations) and Tourism, Leisure and Hospitality Management (24 citations). Min Ding has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Rajdeep Grewal, John Liechty, Jehoshua Eliashberg, Vithala R. Rao, Xiao Li, Joel Huber, Ritesh Saini, John R. Hauser, Avideh Zakhor and Stefan Stremersch. Their work appears in journals such as Journal of Marketing Research, Management Science, IEEE Access, International Journal of Research in Marketing 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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