Sukhoon Lee
Impact in
- Information Systems top 10%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
- Artificial Intelligence top 10%
- Topic Modeling
- Semantic Web and Ontologies
- Natural Language Processing Techniques
Papers in
-
- Internet of Things and Social Network Interactions 6
-
- Technology and Data Analysis 4
- Co-authors
- Dongwon Jeong (22 shared papers)Dukyong Yoon (8 shared papers)Tae Young Kim (5 shared papers)Sung Hyon Myaeng (3 shared papers)Kazuaki Kishida (2 shared papers)Hsin‐Hsi Chen (2 shared papers)Koji Eguchi (2 shared papers)Noriko Kando (2 shared papers)
- Journals
- Sensors (5 papers)PLoS ONE (3 papers)Clinical Epigenetics (2 papers)ACM SIGIR Forum (1 paper)Stroke (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Sukhoon Lee
38 papers receiving 327 citations
Peers
Comparison fields: 5 of 107
- Information Systems 89
- Artificial Intelligence 119
- Health Informatics 4
- Health Information Management 13
- Cardiology and Cardiovascular Medicine 63
Countries citing papers authored by Sukhoon Lee
This map shows the geographic impact of Sukhoon 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 Sukhoon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sukhoon Lee more than expected).
Fields of papers citing papers by Sukhoon Lee
This network shows the impact of papers produced by Sukhoon 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 Sukhoon Lee. The network helps show where Sukhoon Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Sukhoon Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Overview of CLIR Task at the Sixth NTCIR Workshop | 2002 | 73 |
| 2 | 2021 | 37 | |
| 3 | 2019 | 32 | |
| 4 | 2020 | 23 | |
| 5 | 2017 | 23 | |
| 6 | 2017 | 20 | |
| 7 | 2017 | 16 | |
| 8 | 2021 | 16 | |
| 9 | 2017 | 16 | |
| 10 | 2015 | 12 | |
| 11 | 2018 | 9 | |
| 12 | 2011 | 9 | |
| 13 | 2017 | 7 | |
| 14 | Convolutional Neural Networks for Analyzing Unmanned Aerial Vehicles Sound | 2018 | 5 |
| 15 | 2015 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2015 | 4 | |
| 18 | Characteristics of the Korean Test Collection for CLIR in NTCIR-3 | 2002 | 3 |
| 19 | 2021 | 3 | |
| 20 | 2022 | 3 |
About Sukhoon Lee
Sukhoon Lee is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 362 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (7 papers), ECG Monitoring and Analysis (6 papers), Internet of Things and Social Network Interactions (6 papers), Innovation in Digital Healthcare Systems (5 papers), Data Management and Algorithms (4 papers), Healthcare Technology and Patient Monitoring (4 papers), Technology and Data Analysis (4 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). The work is most often cited by research in Information Systems (89 citations), Artificial Intelligence (119 citations), Health Informatics (4 citations), Health Information Management (13 citations) and Cardiology and Cardiovascular Medicine (63 citations). Sukhoon Lee has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Dongwon Jeong, Dukyong Yoon, Tae Young Kim, Sung Hyon Myaeng, Kazuaki Kishida, Hsin‐Hsi Chen, Koji Eguchi, Noriko Kando, Kuang‐Hua Chen and Hyunjun Jung. Their work appears in journals such as Sensors, PLoS ONE, Clinical Epigenetics, ACM SIGIR Forum and Stroke.
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.