Hee‐Dong Yang

1.5k citations
46 papers · 1.1k · h-index 12

Impact in

Papers in

Hee‐Dong Yang

32 papers receiving 1.0k citations

Peers

Hee‐Dong Yang
Comparison fields: 5 of 95
  • Information Systems and Management 504
  • Management Information Systems 224
  • Communication 157
  • Strategy and Management 218
  • Marketing 126
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Citations per field
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Citations per year

Countries citing papers authored by Hee‐Dong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hee‐Dong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee‐Dong Yang. 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 Hee‐Dong Yang. The network helps show where Hee‐Dong Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003420
2 2007158
3 2005144
4 200667
5 200651
6 201150
7 201748
8 200846
9 201324
10 202017
11
Revisiting Technology Acceptance Model with Social Influence Factors
200114
12 200811
13
Individual Absorptive Capacity and thePerformance of Using ERP:Knowledge Transfer Perspective
20056
14
The Effect of Anonymity on the Usage of Avatar: Comparison of Internet Relay Chat and Instant Messenger
20046
15 20245
16 20045
17 20205
18
How Different Governance Structures Influence Emarketplaces and Purchasing Performance over Time
20074
19
The Effects of Perceived Privacy Infringement and the Moderators on On-line Community Activities in BLOG
20063
20
Consensus of corporate e-Learning system stakeholders regarding the satisfaction of end-users
20053

About Hee‐Dong Yang

Hee‐Dong Yang is a scholar working on Information Systems and Management, Information Systems, Communication, Sociology and Political Science and Strategy and Management, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (13 papers), Knowledge Management and Sharing (10 papers), Digital Marketing and Social Media (6 papers), Innovation in Digital Healthcare Systems (4 papers), Technology and Data Analysis (4 papers), Cloud Data Security Solutions (3 papers), Customer Service Quality and Loyalty (2 papers) and 3D IC and TSV technologies (2 papers). The work is most often cited by research in Information Systems and Management (504 citations), Management Information Systems (224 citations), Communication (157 citations), Strategy and Management (218 citations) and Marketing (126 citations). Hee‐Dong Yang has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Youngjin Yoo, Jong‐Hun Park, Kalle Lyytinen, Sora Kang, Chris Rowley, JoongHo Ahn, Hyunmi Baek, Min Soo Kim, Kai H. Lim and Manhee Lee. Their work appears in journals such as Journal of the Association for Information Systems, Information Systems Research, Human Relations, Electronic Commerce Research and Applications and Journal of Medical Virology.

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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