Jee-Hyong Lee
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Co-authors
- Hyung Lee-KwangJaekwang KimJae-Dong LeeKeon Myung LeeJung-Hoon KimJinYeong BakKwanho YouHyun Jung Park
- Topics
- Advanced Text Analysis Techniques (21 papers)Web Data Mining and Analysis (18 papers)Recommender Systems and Techniques (17 papers)
- Partner nations
- South KoreaUnited StatesPakistan
In The Last Decade
Jee-Hyong Lee
124 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 383
- Information Systems 216
- Computer Vision and Pattern Recognition 187
- Electrical and Electronic Engineering 183
- Control and Systems Engineering 175
Countries citing papers authored by Jee-Hyong Lee
This map shows the geographic impact of Jee-Hyong 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 Jee-Hyong Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jee-Hyong Lee more than expected).
Fields of papers citing papers by Jee-Hyong Lee
This network shows the impact of papers produced by Jee-Hyong 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 Jee-Hyong Lee. The network helps show where Jee-Hyong Lee may publish in the future.
Co-authorship network of co-authors of Jee-Hyong Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Jee-Hyong Lee. A scholar is included among the top collaborators of Jee-Hyong 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 Jee-Hyong Lee. Jee-Hyong Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 0 | |
| 10 | Various Quality Fingerprint Classification Using the Optimal Stochastic Models | 1 |
| 11 | 3 | |
| 12 | A Group Mining Method based on Personal Interaction in Mobile Environment | 3 |
| 13 | Research on Extracting Relevant Snippet from Blog Pages Using Title and Issue Tags | 0 |
| 14 | Design and Application of Multi Concept Keyword Model based on Web-using Information | 1 |
| 15 | Game Behavior Pattern Modeling for Bots(Auto Program) detection | 0 |
| 16 | Creating Related Tag Groups using Co-occurrence Frequency on Blogosphere | 1 |
| 17 | The Operational Optimization of Semiconductor Research and Development Fabs by FAB-wide Scheduling | 3 |
| 18 | Artificial Intelligence in Computer Games | 6 |
| 19 | Personalized Music Recommendation System Using Improved K-means Clustering Algorithm | 5 |
| 20 | Fuzzy systems, neural networks and genetic algorithms | 1 |
About Jee-Hyong Lee
Jee-Hyong Lee is a scholar working on Signal Processing, Artificial Intelligence and Information Systems, having authored 145 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (21 papers), Web Data Mining and Analysis (18 papers) and Recommender Systems and Techniques (17 papers). The work is most often cited by research in Signal Processing (147 citations), Industrial and Manufacturing Engineering (134 citations) and Artificial Intelligence (383 citations). Jee-Hyong Lee has collaborated with scholars based in South Korea, United States and Pakistan. Frequent co-authors include Hyung Lee-Kwang, Jaekwang Kim, Jae-Dong Lee, Keon Myung Lee, Jung-Hoon Kim, JinYeong Bak, Kwanho You, Hyun Jung Park, Tae‐Yeon Kim and Seung‐Jong Park. Their work appears in journals such as IEEE Access, Pattern Recognition and Information Sciences.
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.