Seong‐heum Kim
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Information Systems
- Co-authors
- Deepak GhimireYoungbae HwangA. S. M. Sanwar HosenMohit KumarPronaya BhattacharyaAshwani KumarSahil VermaIn So Kweon
- Topics
- Advanced Neural Network Applications (7 papers)Advanced Image and Video Retrieval Techniques (4 papers)3D Surveying and Cultural Heritage (4 papers)
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
Seong‐heum Kim
17 papers receiving 309 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 137
- Artificial Intelligence 90
- Computer Networks and Communications 41
- Electrical and Electronic Engineering 37
- Information Systems 34
Countries citing papers authored by Seong‐heum Kim
This map shows the geographic impact of Seong‐heum 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 Seong‐heum Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seong‐heum Kim more than expected).
Fields of papers citing papers by Seong‐heum Kim
This network shows the impact of papers produced by Seong‐heum 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 Seong‐heum Kim. The network helps show where Seong‐heum Kim may publish in the future.
Co-authorship network of co-authors of Seong‐heum Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Seong‐heum Kim. A scholar is included among the top collaborators of Seong‐heum 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 Seong‐heum Kim. Seong‐heum 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 | 9 | |
| 2 | Healthcare Internet of Things (H-IoT): Current Trends, Future Prospects, Applications, Challenges, and Security Issuesbreakdown → | 79 |
| 3 | 1 | |
| 4 | 17 | |
| 5 | 10 | |
| 6 | 0 | |
| 7 | 117 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 26 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 29 | |
| 16 | 4 | |
| 17 | 8 | |
| 18 | 7 |
About Seong‐heum Kim
Seong‐heum Kim is a scholar working on Geology, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 18 papers that have together received 323 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Advanced Image and Video Retrieval Techniques (4 papers) and 3D Surveying and Cultural Heritage (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (137 citations), Computational Mathematics (3 citations) and Artificial Intelligence (90 citations). Seong‐heum Kim has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Deepak Ghimire, Youngbae Hwang, A. S. M. Sanwar Hosen, Mohit Kumar, Pronaya Bhattacharya, Ashwani Kumar, Sahil Verma, In So Kweon, Joon‐Young Lee and Gyeongmin Choe. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Access and Applied Sciences.
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.