Hai Che

811 citations
23 papers · 570 · h-index 11

Impact in

  • Marketing top 2%
    • Consumer Market Behavior and Pricing
    • Consumer Behavior in Brand Consumption and Identification
    • Consumer Retail Behavior Studies

Papers in

    • Consumer Market Behavior and Pricing 19
    • Consumer Retail Behavior Studies 5
    • Consumer Behavior in Brand Consumption and Identification 3
    • Economics of Agriculture and Food Markets 4

Hai Che

21 papers receiving 544 citations

Peers

Hai Che
Comparison fields: 5 of 62
  • Marketing 384
  • General Decision Sciences 24
  • Management Information Systems 113
  • Management Science and Operations Research 92
  • Strategy and Management 110
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Hai Che relative to André Bonfrer United States André Bonfrer's profile →
Citations per field
00.5×1.5×1.8×
André Bonfrer · 1×
Citations per year

Countries citing papers authored by Hai Che

Since Specialization
Citations

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

Fields of papers citing papers by Hai Che

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015133
2 200781
3 202155
4 201248
5 200847
6 201240
7 202138
8 202129
9 200918
10 201517
11 200513
12 200310
13
Negative Advertising and Voter Choice
200710
14 20219
15 20107
16 20176
17
The Economic Value of Online Reviews
20153
18 20152
19 20232
20 20191

About Hai Che

Hai Che is a scholar working on Marketing, Economics and Econometrics, Management Science and Operations Research, Sociology and Political Science and Management Information Systems, having authored 23 papers that have together received 570 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (19 papers), Innovation Diffusion and Forecasting (7 papers), Digital Marketing and Social Media (6 papers), Consumer Retail Behavior Studies (5 papers), Economics of Agriculture and Food Markets (4 papers), Supply Chain and Inventory Management (3 papers), Digital Platforms and Economics (3 papers) and Consumer Behavior in Brand Consumption and Identification (3 papers). The work is most often cited by research in Marketing (384 citations), General Decision Sciences (24 citations), Management Information Systems (113 citations), Management Science and Operations Research (92 citations) and Strategy and Management (110 citations). Hai Che has collaborated with scholars based in United States, China and Canada. Frequent co-authors include P.B. Seetharaman, Tat Y. Chan, Chunhua Wu, Xianghua Lu, K. Sudhir, Yuxin Chen, Yi‐Chun Ho, Shengsheng Xiao, Shantanu Dutta and Xinlei Chen. Their work appears in journals such as Journal of Marketing Research, Marketing Science, Marketing Letters, Quantitative Marketing and Economics and Journal of the Royal Statistical Society Series A (Statistics in Society).

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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