Liye Ma

1.9k citations
33 papers · 1.3k indexed · 1 hit paper · h-index 13

Liye Ma

30 papers receiving 1.2k citations

Hit Papers

Machine learning and AI in marketing – Connecting computi...3142020202620222024100200300

Peers

Liye Ma
Comparison fields: 5 of 107
  • Marketing 642
  • Information Systems and Management 158
  • Strategy and Management 249
  • Management Science and Operations Research 200
  • Sociology and Political Science 630
Replace Arnaud De Bruyn with:
Arnaud De Bruyn France
Jesse Bockstedt United States
Karthik Kannan United States
Niladri Syam United States
Jochen Wulf Switzerland
Anjana Susarla United States
Sam Ransbotham United States
Dennis Kundisch Germany
Liye Ma relative to Arnaud De Bruyn France Arnaud De Bruyn's profile →
Citations per field
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Arnaud De Bruyn · 1×
Citations per year

Countries citing papers authored by Liye Ma

Since Specialization
Citations

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

Fields of papers citing papers by Liye Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 20232
3 202028
4 20208
5 20201
6 20203
7
Machine learning and AI in marketing – Connecting computing power to human insightsbreakdown →
2020314
8 20194
9 20184
10 201856
11 20160
12 201466
13 201452
14 201497
15 2011115
16
ATTRACTING WHOM ? - MANAGING USER -GENERATED - CONTENT COMMUNITIES FOR MONETIZATION
20091
17 20092
18
Recomended for You: The Impact of Profit Incentives on the Relevance of Online Recommendations
200823
19
Voluntary Open-Source - The Effect Appropriability, Externality, and Uncertainty
20081
20
The Formation and Evolution of Faultlines in Large-Scale, Multi-Party Information Systems Development
20072

About Liye Ma

Liye Ma is a scholar working on Marketing, Energy Engineering and Power Technology, Management Science and Operations Research, Computer Science Applications and Strategy and Management, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (16 papers), Digital Platforms and Economics (8 papers), Digital Marketing and Social Media (8 papers), Innovation Diffusion and Forecasting (5 papers), Auction Theory and Applications (5 papers), Power Systems and Renewable Energy (4 papers), Open Source Software Innovations (3 papers) and Cinema and Media Studies (3 papers). The work is most often cited by research in Marketing (642 citations), Information Systems and Management (158 citations), Strategy and Management (249 citations), Management Science and Operations Research (200 citations) and Sociology and Political Science (630 citations). Liye Ma has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Baohong Sun, Young‐Hoon Park, Kinshuk Jerath, Sunder Kekre, Alan L. Montgomery, Ramayya Krishnan, Zainab Jamal, Michael Trusov, Kannan Srinivasan and Michael D. Smith. Their work appears in journals such as Journal of the Association for Information Systems, Marketing Science, Management Science, IEEE Access and Journal of Marketing 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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