Ya-Ching Lee

1.1k citations
28 papers · 825 · h-index 12

Impact in

Papers in

Ya-Ching Lee

27 papers receiving 748 citations

Peers

Ya-Ching Lee
Comparison fields: 5 of 68
  • Information Systems and Management 343
  • Marketing 94
  • Information Systems 135
  • Management Information Systems 56
  • Computer Science Applications 27
Replace Ashraf Bany Mohammed with:
Ashraf Bany Mohammed Jordan
Samar Mouakket United Arab Emirates
Amir A. Abdulmuhsin Iraq
Mehwish Waheed Malaysia
Takwa Tarhini Qatar
Afzaal H. Seyal Brunei
Tsai-Hsin Chu Taiwan
Chuang‐Chun Liu Taiwan
Norshidah Mohamed Malaysia
Shahizan Hassan Malaysia
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Citations per field
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Ashraf Bany Mohammed · 1×
Citations per year

Countries citing papers authored by Ya-Ching Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ya-Ching Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya-Ching Lee. 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 Ya-Ching Lee. The network helps show where Ya-Ching Lee may publish in the future.

Co-authors

The 2 scholars most cited alongside Ya-Ching Lee, 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 Ya-Ching Lee Line = papers co-authored together Ya-Ching Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006308
2 2007119
3 201143
4 201742
5 202040
6 201638
7 201135
8 201434
9 201634
10 200926
11 200717
12 201513
13 201012
14 201611
15 20119
16 20178
17 20037
18 20126
19 20156
20 20244

About Ya-Ching Lee

Ya-Ching Lee is a scholar working on Marketing, Information Systems and Management, Management Information Systems, Sociology and Political Science and Strategy and Management, having authored 28 papers that have together received 825 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (7 papers), Technology Adoption and User Behaviour (7 papers), Information Technology Governance and Strategy (5 papers), Privacy, Security, and Data Protection (3 papers), Environmental Sustainability in Business (3 papers), Marketing and Advertising Strategies (3 papers), Business Process Modeling and Analysis (3 papers) and Innovation and Knowledge Management (2 papers). The work is most often cited by research in Information Systems and Management (343 citations), Marketing (94 citations), Information Systems (135 citations), Management Information Systems (56 citations) and Computer Science Applications (27 citations). Ya-Ching Lee has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Pin‐Yu Chu and Wang Liao. Their work appears in journals such as Computers in Human Behavior, Online Information Review, Corporate Social Responsibility and Environmental Management, Industrial Management & Data Systems and Human Communication 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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