Hyun Cheol Lee
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- Advanced Statistical Process Monitoring 8
- Scientific Measurement and Uncertainty Evaluation 5
- Statistics and Probability top 5%
- Advanced Statistical Methods and Models 6
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- Radioactivity and Radon Measurements 4
- Radiation top 10%
- Radiation Detection and Scintillator Technologies 7
- Nuclear Physics and Applications 5
- Marketing top 10%
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- Customer Service Quality and Loyalty 6
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- Digital Marketing and Social Media 5
- Co-authors
- Daniel W. ApleyChunghun HaChul Hee MinJun Hwan KimJae Su KwakWook‐Geun ShinHyun Joon ChoiVladimir N. Chouljenko
- Cited by
- Statistics, Probability and UncertaintyStatistics and ProbabilityRadiological and Ultrasound Technology
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Hyun Cheol Lee
36 papers receiving 438 citations
Peers
Comparison fields: 5 of 103
- Statistics, Probability and Uncertainty 111
- Statistics and Probability 72
- Radiological and Ultrasound Technology 38
- Radiation 56
- Marketing 52
Countries citing papers authored by Hyun Cheol Lee
This map shows the geographic impact of Hyun Cheol 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 Hyun Cheol Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyun Cheol Lee more than expected).
Fields of papers citing papers by Hyun Cheol Lee
This network shows the impact of papers produced by Hyun Cheol 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 Hyun Cheol Lee. The network helps show where Hyun Cheol Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hyun Cheol 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 2 | |
| 5 | 2019 | 7 | |
| 6 | 2019 | 12 | |
| 7 | 2019 | 53 | |
| 8 | 2019 | 1 | |
| 9 | 2019 | 24 | |
| 10 | 2019 | 16 | |
| 11 | 2019 | 16 | |
| 12 | 2019 | 37 | |
| 13 | 2019 | 10 | |
| 14 | 2018 | 18 | |
| 15 | 2016 | 9 | |
| 16 | Improvement of Safety Management System in Air Transportation Industry | 2015 | 1 |
| 17 | 2015 | 9 | |
| 18 | 2015 | 18 | |
| 19 | 2012 | 3 | |
| 20 | Clinical Characteristics of Inborn and Outborn Infants Admitted to the NICU | 1993 | 1 |
About Hyun Cheol Lee
Hyun Cheol Lee is a scholar working on Statistics, Probability and Uncertainty, Radiation and Radiological and Ultrasound Technology, having authored 42 papers that have together received 468 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (8 papers), Radiation Detection and Scintillator Technologies (7 papers), Customer Service Quality and Loyalty (6 papers), Advanced Statistical Methods and Models (6 papers), Nuclear Physics and Applications (5 papers), Scientific Measurement and Uncertainty Evaluation (5 papers), Digital Marketing and Social Media (5 papers) and Radioactivity and Radon Measurements (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (111 citations), Statistics and Probability (72 citations) and Radiological and Ultrasound Technology (38 citations). Hyun Cheol Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Daniel W. Apley, Chunghun Ha, Chul Hee Min, Jun Hwan Kim, Jae Su Kwak, Wook‐Geun Shin, Hyun Joon Choi, Vladimir N. Chouljenko, Konstantin G. Kousoulas and Mauro Testa. Their work appears in journals such as PLoS ONE, Technometrics and Journal of Virology.
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.