Seungmin Rho
- Computer Vision and Pattern Recognition top 0.5%
- Electrical and Electronic Engineering top 2%
- Computer Networks and Communications top 0.5%
- Artificial Intelligence top 0.5%
- Information Systems top 0.5%
- Co-authors
- Sung Wook BaikAnand PaulEenjun HwangIrfan MehmoodAwais AhmadM. Mazhar RathoreKhan MuhammadJihoon Moon
- Topics
- Energy Load and Power Forecasting (31 papers)Music and Audio Processing (30 papers)Video Surveillance and Tracking Methods (25 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsSignal Processing
- Partner nations
- South KoreaPakistanChina
In The Last Decade
Seungmin Rho
312 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Computer Vision and Pattern Recognition 2.1k
- Electrical and Electronic Engineering 2.1k
- Computer Networks and Communications 1.9k
- Artificial Intelligence 1.8k
- Information Systems 1.0k
Countries citing papers authored by Seungmin Rho
This map shows the geographic impact of Seungmin Rho'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 Seungmin Rho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seungmin Rho more than expected).
Fields of papers citing papers by Seungmin Rho
This network shows the impact of papers produced by Seungmin Rho. 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 Seungmin Rho. The network helps show where Seungmin Rho may publish in the future.
Co-authorship network of co-authors of Seungmin Rho
This figure shows the co-authorship network connecting the top 25 collaborators of Seungmin Rho. A scholar is included among the top collaborators of Seungmin Rho 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 Seungmin Rho. Seungmin Rho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 30 | |
| 7 | 31 | |
| 8 | 84 | |
| 9 | 61 | |
| 10 | 51 | |
| 11 | 33 | |
| 12 | 35 | |
| 13 | Convolutional Neural Networks Based Fire Detection in Surveillance Videosbreakdown → | 379 |
| 14 | 0 | |
| 15 | 83 | |
| 16 | Intelligent Vehicular Networks and Communications: Fundamentals, Architectures and Solutions | 24 |
| 17 | 6 | |
| 18 | Detecting trend and bursty keywords using characteristics of Twitter stream data | 9 |
| 19 | An Ontological and Rule-based Reasoning for Music Recommendation using Musical Moods | 1 |
| 20 | 0 |
About Seungmin Rho
Seungmin Rho is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 329 papers that have together received 7.6k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (31 papers), Music and Audio Processing (30 papers) and Video Surveillance and Tracking Methods (25 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Computer Networks and Communications (1.9k citations) and Signal Processing (729 citations). Seungmin Rho has collaborated with scholars based in South Korea, Pakistan and China. Frequent co-authors include Sung Wook Baik, Anand Paul, Eenjun Hwang, Irfan Mehmood, Awais Ahmad, M. Mazhar Rathore, Khan Muhammad, Jihoon Moon, Jamil Ahmad and Feng Jiang. Their work appears in journals such as PLoS ONE, IEEE Access and IEEE Communications Magazine.
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.