Che-Wei Liu

22 papers receiving 219 citations

Peers

Che-Wei Liu
Comparison fields: 5 of 54
  • Information Systems and Management 30
  • Management Information Systems 37
  • Marketing 34
  • General Decision Sciences 5
  • Information Systems 52
Replace Mochen Yang with:
Mochen Yang United States
Carla Bonato Marcolin Brazil
Christos Ziakis Greece
Jean‐Fabrice Lebraty France
Abbas Gatea Atiyah Iraq
Dhanabalan Thangam India
Ankitha Shetty India
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Miguel Godinho de Matos Portugal
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Citations per field
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Citations per year

Countries citing papers authored by Che-Wei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Che-Wei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202056
2 202430
3 201922
4 202319
5 202213
6 201911
7 20048
8 20188
9 20227
10 20237
11
IT Centralization, Security Outsourcing, and Cybersecurity Breaches: Evidence from the U.S. Higher Education
20177
12 20246
13 20236
14
The Dark Side of Positive Social Influence
20165
15 20054
16 20174
17 20244
18 20243
19 20142
20
Information Technology Investments and Management Forecasts: Theory and Evidence.
20202

About Che-Wei Liu

Che-Wei Liu is a scholar working on Applied Psychology, Information Systems and Management, Finance, Management Information Systems and Signal Processing, having authored 24 papers that have together received 226 indexed citations. Recurring topics across this work include Behavioral Health and Interventions (4 papers), Technology Adoption and User Behaviour (3 papers), Financial Markets and Investment Strategies (3 papers), Auction Theory and Applications (2 papers), Environmental Education and Sustainability (2 papers), Innovation and Knowledge Management (2 papers), Biometric Identification and Security (2 papers) and Digital Marketing and Social Media (2 papers). The work is most often cited by research in Information Systems and Management (30 citations), Management Information Systems (37 citations), Marketing (34 citations), General Decision Sciences (5 citations) and Information Systems (52 citations). Che-Wei Liu has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Peng Huang, Henry C. Lucas, Ritu Agarwal, Guodong Gordon Gao, Sunil Mithas, Yue Cheng, Liu Ming, Ming‐Hui Wen, Mochen Yang and Jonathan Whitaker. Their work appears in journals such as Information Systems Research, Production and Operations Management, Journal of Management Information Systems, MIS Quarterly and Journal of the Association for Information Systems.

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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