Jong-Seok Kim
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Infectious Diseases
- Immunology
- Strategy and Management
- Co-authors
- Gunhee KimYoungjae YuHwa‐Jung KimA-Rum ShinSung Jae ShinWoo Sik KimJake WhangHyungseok Lee
- Topics
- Innovation and Knowledge Management (4 papers)Technology and Data Analysis (3 papers)Multimodal Machine Learning Applications (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionBusiness and International ManagementManagement Information Systems
- Journals
- Biochemical and Biophysical Research CommunicationsExpert Systems with ApplicationsIEEE Access
- Partner nations
- South KoreaUnited KingdomUnited States
In The Last Decade
Jong-Seok Kim
28 papers receiving 234 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 103
- Artificial Intelligence 33
- Infectious Diseases 33
- Immunology 24
- Strategy and Management 22
Countries citing papers authored by Jong-Seok Kim
This map shows the geographic impact of Jong-Seok 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 Jong-Seok Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jong-Seok Kim more than expected).
Fields of papers citing papers by Jong-Seok Kim
This network shows the impact of papers produced by Jong-Seok 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 Jong-Seok Kim. The network helps show where Jong-Seok Kim may publish in the future.
Co-authorship network of co-authors of Jong-Seok Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Jong-Seok Kim. A scholar is included among the top collaborators of Jong-Seok 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 Jong-Seok Kim. Jong-Seok 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 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 16 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 57 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 16 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 40 | |
| 19 | Determination of the Optimal Control-Response Ratio for Data Searching Through a Touchpad Placed on the Steering Wheel | 1 |
| 20 | 2 |
About Jong-Seok Kim
Jong-Seok Kim is a scholar working on Signal Processing, Management Information Systems and Information Systems, having authored 32 papers that have together received 241 indexed citations. Recurring topics across this work include Innovation and Knowledge Management (4 papers), Technology and Data Analysis (3 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (103 citations), Business and International Management (5 citations) and Management Information Systems (18 citations). Jong-Seok Kim has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include Gunhee Kim, Youngjae Yu, Hwa‐Jung Kim, A-Rum Shin, Sung Jae Shin, Woo Sik Kim, Jake Whang, Hyungseok Lee, Su‐Young Kim and Hyun-Sung Park. Their work appears in journals such as Biochemical and Biophysical Research Communications, Expert Systems with Applications 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.