Kyung‐Soon Lee
- Topics
- Topic Modeling (8 papers)Advanced Text Analysis Techniques (6 papers)Web Data Mining and Analysis (6 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Kyung‐Soon Lee
48 papers receiving 615 citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 361
- Artificial Intelligence 100
- Oncology 83
- Information Systems 57
- Cell Biology 50
Countries citing papers authored by Kyung‐Soon Lee
This map shows the geographic impact of Kyung‐Soon 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 Kyung‐Soon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyung‐Soon Lee more than expected).
Fields of papers citing papers by Kyung‐Soon Lee
This network shows the impact of papers produced by Kyung‐Soon 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 Kyung‐Soon Lee. The network helps show where Kyung‐Soon Lee may publish in the future.
Co-authorship network of co-authors of Kyung‐Soon Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Kyung‐Soon Lee. A scholar is included among the top collaborators of Kyung‐Soon 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 Kyung‐Soon Lee. Kyung‐Soon 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 | 7 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | CBNU at TREC 2018 Incident Streams Track. | 2 |
| 6 | CBNU at TREC 2017 Precision Medicine Track. | 1 |
| 7 | 5 | |
| 8 | CBNU at TREC 2015 Clinical Decision Support Track. | 2 |
| 9 | 17 | |
| 10 | The Consideration of Definition of Physical Therapy in South Korea | 2 |
| 11 | 25 | |
| 12 | Analysis of the Change of the Forward Head Posture According to Computer Using Time | 7 |
| 13 | The Association of Histologic Chorioamnionitis and Bronchopulmonary Dysplasia in Prematurity | 0 |
| 14 | Automatic Term Recognition using Domain Similarity and Statistical Methods | 0 |
| 15 | The Experience after Participating in a Smoking Cessation Program | 1 |
| 16 | Anger, Psychoticism, and Addiction in Dating Violence inflictors and recipients | 1 |
| 17 | TREC-10 Experiments at KAIST: Batch Filtering and Question Answering | 9 |
| 18 | TREC-9 Experiments at KAIST: QA, CLIR and Batch Filtering. | 5 |
| 19 | 7 | |
| 20 | 5 |
About Kyung‐Soon Lee
Kyung‐Soon Lee is a scholar working on Leadership and Management, Artificial Intelligence and Information Systems, having authored 53 papers that have together received 646 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Advanced Text Analysis Techniques (6 papers) and Web Data Mining and Analysis (6 papers). The work is most often cited by research in Leadership and Management (7 citations), Molecular Biology (361 citations) and Orthopedics and Sports Medicine (29 citations). Kyung‐Soon Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Michaël Kahn, Cu Nguyen, Hong Ma, Key‐Sun Choi, Jung‐Hoon Lee, Won‐gyu Yoo, Kyo Kageura, Kyunghyun Suh, William E. Davis and Jong–Hoon Oh. Their work appears in journals such as American Journal of Psychiatry, Oncogene and Scientific Reports.
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.