Young‐Chan Lee

2.2k total citations · 1 hit paper
72 papers, 1.6k citations indexed

About

Young‐Chan Lee is a scholar working on Information Systems and Management, Sociology and Political Science and Marketing. According to data from OpenAlex, Young‐Chan Lee has authored 72 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Information Systems and Management, 16 papers in Sociology and Political Science and 12 papers in Marketing. Recurrent topics in Young‐Chan Lee's work include Technology Adoption and User Behaviour (24 papers), Digital Marketing and Social Media (12 papers) and Customer Service Quality and Loyalty (9 papers). Young‐Chan Lee is often cited by papers focused on Technology Adoption and User Behaviour (24 papers), Digital Marketing and Social Media (12 papers) and Customer Service Quality and Loyalty (9 papers). Young‐Chan Lee collaborates with scholars based in South Korea, China and United States. Young‐Chan Lee's co-authors include Min Jiang, Sun‐Kyu Lee, Jae H. Min, Qin Yang, Hui Li, Jie Sun, Vijayan Sugumaran, Seung‐Seok Lee, Hong‐Sun Yook and Mee Ree Kim and has published in prestigious journals such as Food Chemistry, Expert Systems with Applications and Information Sciences.

In The Last Decade

Young‐Chan Lee

55 papers receiving 1.5k citations

Hit Papers

Bankruptcy prediction using support vector machine with o... 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Young‐Chan Lee South Korea 17 632 624 244 240 174 72 1.6k
Melody Y. Kiang United States 23 682 1.1× 963 1.5× 234 1.0× 454 1.9× 213 1.2× 60 2.4k
Deron Liang Taiwan 18 609 1.0× 467 0.7× 206 0.8× 163 0.7× 198 1.1× 66 1.6k
Soushan Wu Taiwan 13 670 1.1× 450 0.7× 348 1.4× 268 1.1× 38 0.2× 37 1.5k
Stijn Viaene Belgium 25 590 0.9× 1.2k 1.9× 243 1.0× 300 1.3× 102 0.6× 102 3.0k
Rick L. Wilson United States 15 450 0.7× 431 0.7× 142 0.6× 332 1.4× 81 0.5× 34 1.4k
Ching-Chiang Yeh Taiwan 11 308 0.5× 335 0.5× 87 0.4× 273 1.1× 75 0.4× 25 1.0k
Mohammad Zoynul Abedin United Kingdom 35 507 0.8× 397 0.6× 560 2.3× 431 1.8× 81 0.5× 190 3.4k
Huimin Zhao United States 28 196 0.3× 951 1.5× 128 0.5× 339 1.4× 76 0.4× 107 2.3k
Jeffrey P. Cohen United States 23 728 1.2× 181 0.3× 166 0.7× 105 0.4× 92 0.5× 104 2.9k
David Martens Belgium 27 469 0.7× 1.3k 2.0× 273 1.1× 317 1.3× 75 0.4× 76 2.8k

Countries citing papers authored by Young‐Chan Lee

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Chan Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young‐Chan Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Chan Lee. A scholar is included among the top collaborators of Young‐Chan Lee 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 Young‐Chan Lee. Young‐Chan Lee 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
1.
Yang, Qin & Young‐Chan Lee. (2024). Enhancing Financial Advisory Services with GenAI: Consumer Perceptions and Attitudes Through Service-Dominant Logic and Artificial Intelligence Device Use Acceptance Perspectives. Journal of risk and financial management. 17(10). 470–470. 6 indexed citations
2.
Lee, Young‐Chan, et al.. (2024). Ethical AI in Financial Inclusion: The Role of Algorithmic Fairness on User Satisfaction and Recommendation. Big Data and Cognitive Computing. 8(9). 105–105. 3 indexed citations
3.
Lee, Young‐Chan, et al.. (2024). GLBRF: Group-Based Lightweight Human Behavior Recognition Framework in Video Camera. Applied Sciences. 14(6). 2424–2424. 3 indexed citations
5.
Lee, Young‐Chan, et al.. (2019). An Exploratory Study on Artificial Intelligence Quality, Preference and Continuous Usage Intention: A Case of Online Job Information Platform. Journal of Digital Convergence. 17(7). 73–87. 1 indexed citations
7.
Lee, Young‐Chan, et al.. (2018). Classification and Evaluation of Service Requirements in Mobile Tourism Application Using Kano Model and AHP. Journal of Information Systems. 27(1). 43–65. 6 indexed citations
8.
Lee, Young‐Chan, et al.. (2018). Examining Success Factors of Online P2P Lending Service Using Kano Model and Fuzzy-AHP. 19(2). 109–132. 1 indexed citations
9.
Lee, Young‐Chan, et al.. (2017). Application of a fuzzy AHP and TOPSIS methodology for ranking the factors influencing FinTech adoption intention. 대한산업공학회 춘계공동학술대회 논문집. 6015–6037. 1 indexed citations
10.
Lee, Young‐Chan, et al.. (2017). Examining the Influencing Factors of Third-Party Mobile Payment Adoption: A Comparative Study of Alipay and WeChat Pay. Journal of Information Systems. 26(4). 247–284. 19 indexed citations
11.
Lee, Young‐Chan, et al.. (2015). OPEN SOURCE ERP ADOPTION FOR SMALL-MEDIUM ENTERPRISES : A CASE STUDY OF VIETNAMESE FIRM. ICIC express letters. Part B, Applications. 6(3). 893–898. 1 indexed citations
12.
Lee, Young‐Chan, et al.. (2015). A Study on the Application and Proposals of Safety Culture, New Public Management and Social Amplification of Risk Framework via Ship Accidents in Korea. Journal of the Korean Society of Marine Environment and Safety. 21(3). 283–289. 5 indexed citations
13.
Koo, Chulmo, Namho Chung, & Young‐Chan Lee. (2013). The Influential Motivations of Green IT Device Use and the Role of Reference Group Perspective. Pacific Asia Conference on Information Systems. 90. 10 indexed citations
14.
Lee, Young‐Chan, et al.. (2012). A Deployment Model for Cloud Computing using the Analytic Hierarchy Process and BCOR Analysis. Americas Conference on Information Systems. 10 indexed citations
15.
Lee, Young‐Chan, et al.. (2011). Logistics Decision Model for Environmental Aspect using the Analytic Network Process. Journal of the Association for Information Systems. 2 indexed citations
16.
Lee, Sun‐Kyu, et al.. (2008). Bacteriology of Chronic Otitis Media:Changing of Detection Rate of Methicillin-Resistant Staphylococcus Aureus and Pseudomonas Aeruginosa. Korean Journal of Otorhinolaryngology-head and Neck Surgery. 51(1). 9–15. 5 indexed citations
17.
Lee, Young‐Chan. (2007). Social Capital, Knowledge Management, and Organizational Performance. Journal of Information Systems. 16(4). 223–241. 12 indexed citations
18.
Kim, Nam Kyu, et al.. (2006). Analysis of Factors Affecting the Degree of Difficulty in Total Mesorectal Excision for Rectal Cancer: Investigation of the Factors Affecting Incomplete Resection and the Resection Time. 22(4). 255–263.
19.
Min, Jae H. & Young‐Chan Lee. (2004). DEA Approach to Credit Scoring. korean management review. 33(6). 1895–1918. 1 indexed citations
20.
Lee, Young‐Chan, et al.. (2001). Airline In-flight Meal Demand Forecasting with Neural Networks and Time Series Models. Journal of Information Systems. 10(2). 151–164.

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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