Hyejin Lee

545 citations
35 papers · 381 indexed · h-index 8

Hyejin Lee

29 papers receiving 347 citations

Peers

Hyejin Lee
Comparison fields: 5 of 80
  • Marketing 77
  • Leadership and Management 10
  • Health Informatics 10
  • Applied Psychology 27
  • Information Systems and Management 36
Replace Teng Yu with:
Teng Yu China
Jae-Gil Lee South Korea
Brett Stoll United States
TaeWoo Kim United States
Joo-Wha Hong United States
Daniel Ullrich Germany
Melissa A. Smith United States
Younghwan Pan South Korea
Jeong Hyun Kim South Korea
Stephan Diederich Germany
Hyejin Lee relative to Teng Yu China Teng Yu's profile →
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Citations per year

Countries citing papers authored by Hyejin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hyejin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20248
3 202412
4 20233
5 20230
6 20232
7 20222
8 202276
9
Designing a Platform Model for Building MyData Ecosystem
20211
10 20201
11 20191
12
Telling Your Secrets to an Ai: Consumers Prefer Disclosing Private Personal Information to an Ai (Vs. a Human)
20195
13 20191
14 20191
15
Characteristics of road users’ safety behavior and attitude in Korea : findings from ESRA survey
20181
16 20133
17 201035
18
A Study on the Fear in Private Dental Clinics
20073
19 200614
20
Practical Pinch Torque Detection Algorithm for Anti-Pinch Window Control System Application
20056

About Hyejin Lee

Hyejin Lee is a scholar working on Leadership and Management, Marketing and Information Systems, having authored 35 papers that have together received 381 indexed citations. Recurring topics across this work include Healthcare Education and Workforce Issues (6 papers), Education and Learning Interventions (4 papers), Consumer Behavior in Brand Consumption and Identification (3 papers), Diverse Approaches in Healthcare and Education Studies (3 papers), Consumer Perception and Purchasing Behavior (3 papers), Psychology of Moral and Emotional Judgment (2 papers), Death Anxiety and Social Exclusion (2 papers) and Technology and Data Analysis (2 papers). The work is most often cited by research in Marketing (77 citations), Leadership and Management (10 citations) and Health Informatics (10 citations). Hyejin Lee has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Adam Duhachek, TaeWoo Kim, Ashok K. Lalwani, Aaron Garvey, Li Jiang, Sooyoung Kim, Won‐Sub Yoon, Jin Young Kim, Mihee Jeong and Yong Joon Park. Their work appears in journals such as Journal of Service Research, Advanced Functional Materials, Fibers and Polymers, Diabetes and Journal of Marketing.

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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