Young‐Chan Lee

55 papers receiving 1.5k citations

Young‐Chan Lee's Hit Papers

Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters 2005 · 648 citations
6480+7+14Years since publication200400600

Peers

Young‐Chan Lee
Comparison fields: 5 of 139
  • Accounting 632
  • Information Systems and Management 174
  • Finance 244
  • Artificial Intelligence 624
  • Management Science and Operations Research 240
Replace Melody Y. Kiang with:
Melody Y. Kiang United States
Deron Liang Taiwan
Stijn Viaene Belgium
Rick L. Wilson United States
Huimin Zhao United States
Parag C. Pendharkar United States
Soushan Wu Taiwan
David Martens Belgium
Jin‐Xing Hao China
Krishnamurty Muralidhar United States
Young‐Chan Lee relative to Melody Y. Kiang United States Melody Y. Kiang's profile →
Citations per field
00.5×1.5×2.0×
Melody Y. Kiang · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters
Hit paper breakdown →
2005648
2 2006147
3 2006124
4 200779
5 201156
6 202046
7 202133
8 200428
9 202324
10 200224
11 202324
12 201122
13 201322
14 202221
15 201820
16 202220
17 201719
18 202116
19 201616
20 201515

About Young‐Chan Lee

Young‐Chan Lee is a scholar working on Information Systems and Management, Sociology and Political Science, Marketing, Information Systems and Artificial Intelligence, having authored 72 papers that have together received 1.6k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (24 papers), Digital Marketing and Social Media (12 papers), Customer Service Quality and Loyalty (9 papers), Technology and Data Analysis (6 papers), FinTech, Crowdfunding, Digital Finance (5 papers), Imbalanced Data Classification Techniques (5 papers), Financial Distress and Bankruptcy Prediction (5 papers) and Environmental Sustainability in Business (4 papers). The work is most often cited by research in Accounting (632 citations), Information Systems and Management (174 citations), Finance (244 citations), Artificial Intelligence (624 citations) and Management Science and Operations Research (240 citations). Young‐Chan Lee has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Min Jiang, Sun‐Kyu Lee, Jae H. Min, Qin Yang, Hui Li, Jie Sun, Seung‐Seok Lee, Vijayan Sugumaran, Sun‐Young Oh and Hong‐Sun Yook. Their work appears in journals such as Sustainability, Expert Systems with Applications, Journal of Information Systems, Indian Journal of Science and Technology and Human Factors and Ergonomics in Manufacturing & Service Industries.

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.

Explore authors with similar magnitude of impact