Rhee Man Kil
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics
- Co-authors
- Sukhan LeeSoo-Young LeeZhibin YuSangwook KimMinho LeeImhoi KooYoungRok ChoiZeng‐Guang Hou
- Topics
- Neural Networks and Applications (21 papers)Speech and Audio Processing (9 papers)Fault Detection and Control Systems (8 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Rhee Man Kil
39 papers receiving 666 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 423
- Signal Processing 229
- Control and Systems Engineering 205
- Computer Vision and Pattern Recognition 157
- Computational Mechanics 49
Countries citing papers authored by Rhee Man Kil
This map shows the geographic impact of Rhee Man Kil'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 Rhee Man Kil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rhee Man Kil more than expected).
Fields of papers citing papers by Rhee Man Kil
This network shows the impact of papers produced by Rhee Man Kil. 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 Rhee Man Kil. The network helps show where Rhee Man Kil may publish in the future.
Co-authorship network of co-authors of Rhee Man Kil
This figure shows the co-authorship network connecting the top 25 collaborators of Rhee Man Kil. A scholar is included among the top collaborators of Rhee Man Kil 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 Rhee Man Kil. Rhee Man Kil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 71 | |
| 3 | 7 | |
| 4 | 18 | |
| 5 | 18 | |
| 6 | Model selection for regression with continuous kernel functions using the modulus of continuity | 17 |
| 7 | Zero-crossing based time–frequency masking for sound segregation | 3 |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 155 | |
| 13 | Optimization of a Network with Gaussian Kernel Functions Based on Genetic Algorithm. | 1 |
| 14 | Voice Command: A digital neuro-chip for robust speech recognition in real-world noisy environments(Invited Paper) | 2 |
| 15 | 27 | |
| 16 | 27 | |
| 17 | 8 | |
| 18 | Time-Series Prediction Based on Global and Local Estimation Models | 2 |
| 19 | 2 | |
| 20 | 26 |
About Rhee Man Kil
Rhee Man Kil is a scholar working on Signal Processing, Artificial Intelligence and Control and Systems Engineering, having authored 40 papers that have together received 728 indexed citations. Recurring topics across this work include Neural Networks and Applications (21 papers), Speech and Audio Processing (9 papers) and Fault Detection and Control Systems (8 papers). The work is most often cited by research in Signal Processing (229 citations), Artificial Intelligence (423 citations) and Control and Systems Engineering (205 citations). Rhee Man Kil has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Sukhan Lee, Soo-Young Lee, Zhibin Yu, Sangwook Kim, Minho Lee, Imhoi Koo, YoungRok Choi, Minho Lee, Zeng‐Guang Hou and Akira Hirose. Their work appears in journals such as IEEE Transactions on Image Processing, Neurocomputing and Neural Networks.
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.