Tae Seon Kim
- Public Health, Environmental and Occupational Health
- Infectious Diseases
- Electrical and Electronic Engineering
- Ophthalmology top 10%
- Pharmacology
- Co-authors
- G.S. MayJoon‐Sup YeomJae-Won ParkIn‐Jin JangJoo‐Youn ChoKyun‐Seop BaeJeong-Soo ImTerry A. Klein
- Topics
- Industrial Vision Systems and Defect Detection (6 papers)Manufacturing Process and Optimization (5 papers)Injection Molding Process and Properties (5 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Tae Seon Kim
40 papers receiving 347 citations
Peers
Comparison fields: 5 of 104
- Public Health, Environmental and Occupational Health 70
- Infectious Diseases 65
- Electrical and Electronic Engineering 65
- Ophthalmology 37
- Pharmacology 36
Countries citing papers authored by Tae Seon Kim
This map shows the geographic impact of Tae Seon Kim'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 Tae Seon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae Seon Kim more than expected).
Fields of papers citing papers by Tae Seon Kim
This network shows the impact of papers produced by Tae Seon Kim. 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 Tae Seon Kim. The network helps show where Tae Seon Kim may publish in the future.
Co-authorship network of co-authors of Tae Seon Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Tae Seon Kim. A scholar is included among the top collaborators of Tae Seon Kim 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 Tae Seon Kim. Tae Seon Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | Development of Single Channel ECG Signal Based Biometrics System ) | 1 |
| 11 | 9 | |
| 12 | Development of Signal Detection Methods for ECG (Electrocardiogram) based u-Healthcare Systems | 1 |
| 13 | 137 | |
| 14 | Development of the KOSPI (Korea Composite Stock Price Index) forecast model using neural network and statistical methods) | 2 |
| 15 | Separation and Characterization of Spikelet Proteins at Young Microspore Stage in Rice | 7 |
| 16 | 3 | |
| 17 | 11 | |
| 18 | 4 | |
| 19 | A Longitudinal Trend Analysis of Science Process Skills | 1 |
| 20 | 2 |
About Tae Seon Kim
Tae Seon Kim is a scholar working on Industrial and Manufacturing Engineering, Hardware and Architecture and Human-Computer Interaction, having authored 44 papers that have together received 368 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (6 papers), Manufacturing Process and Optimization (5 papers) and Injection Molding Process and Properties (5 papers). The work is most often cited by research in Ophthalmology (37 citations), Infectious Diseases (65 citations) and Industrial and Manufacturing Engineering (34 citations). Tae Seon Kim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include G.S. May, Joon‐Sup Yeom, Jae-Won Park, In‐Jin Jang, Joo‐Youn Cho, Kyun‐Seop Bae, Jeong-Soo Im, Terry A. Klein, Hyeong‐Seok Lim and Soo-Won Kim. Their work appears in journals such as Soil Biology and Biochemistry, Antimicrobial Agents and Chemotherapy and IEEE Access.
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.