Changju Kim

993 citations
45 papers · 649 indexed · 2 hit papers · h-index 14
Topics
Digital Marketing and Social Media (22 papers)Consumer Behavior in Brand Consumption and Identification (20 papers)Customer Service Quality and Loyalty (17 papers)
Journals
SHILAP Revista de lepidopterologíaAnnals of Tourism ResearchRemote Sensing

In The Last Decade

Changju Kim

39 papers receiving 609 citations

Hit Papers

What (de) motivates customers to use AI-powered conversat...202320262024202520232023255075100

Peers

Changju Kim
Comparison fields: 5 of 73
  • Sociology and Political Science 308
  • Marketing 272
  • Artificial Intelligence 203
  • Information Systems and Management 133
  • Organizational Behavior and Human Resource Management 90
Replace Rodrigo Perez‐Vega with:
Rodrigo Perez‐Vega United Kingdom
Fulya Açikgöz United Kingdom
Erik Hermann Germany
Zhao Pan China
Zied Mani France
Inès Chouk France
Crystal T. Lee China
Udo Gottlieb Australia
Meng­meng Song China
Inês Carvalho Portugal
Changju Kim relative to Rodrigo Perez‐Vega United Kingdom Rodrigo Perez‐Vega's profile →
Citations per field
00.5×
Rodrigo Perez‐Vega · 1×
Citations per year

Countries citing papers authored by Changju Kim

Since Specialization
Citations

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

Fields of papers citing papers by Changju Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changju Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Changju Kim. A scholar is included among the top collaborators of Changju Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Changju Kim. Changju Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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2 0
3 0
4 4
5 3
6 0
7 5
8 10
9 1
10 15
11 10
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What (de) motivates customers to use AI-powered conversational agents for shopping? The extended behavioral reasoning perspectivebreakdown →
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13 2
14 76
15 25
16 18
17 14
18 8
19 49
20 1

About Changju Kim

Changju Kim is a scholar working on Marketing, Health Informatics and Organizational Behavior and Human Resource Management, having authored 45 papers that have together received 649 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (22 papers), Consumer Behavior in Brand Consumption and Identification (20 papers) and Customer Service Quality and Loyalty (17 papers). The work is most often cited by research in Health Informatics (44 citations), Marketing (272 citations) and Information Systems and Management (133 citations). Changju Kim has collaborated with scholars based in Japan, South Korea and New Zealand. Frequent co-authors include Jungkeun Kim, Jeong Hyun Kim, Seong-Goo Ji, Jooyoung Park, Seongseop Kim, Jihoon Jhang, Brian King, Jin Yong Park, Jiaqi Ma and Stephen J. Newell. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Tourism Research and Remote Sensing.

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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