Hyuk-Yoon Kwon
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Neurology top 10%
- Radiology, Nuclear Medicine and Imaging
- Information Systems top 10%
- Co-authors
- Amir HussainJunaid RashidAwais MehmoodMarriam NawazMomina MasoodTahira NazirJungeun KimToqeer Mahmood
- Topics
- Data Management and Algorithms (9 papers)Advanced Database Systems and Queries (8 papers)Cloud Computing and Resource Management (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Hyuk-Yoon Kwon
41 papers receiving 429 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 177
- Computer Vision and Pattern Recognition 163
- Neurology 104
- Radiology, Nuclear Medicine and Imaging 99
- Information Systems 78
Countries citing papers authored by Hyuk-Yoon Kwon
This map shows the geographic impact of Hyuk-Yoon Kwon'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 Hyuk-Yoon Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyuk-Yoon Kwon more than expected).
Fields of papers citing papers by Hyuk-Yoon Kwon
This network shows the impact of papers produced by Hyuk-Yoon Kwon. 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 Hyuk-Yoon Kwon. The network helps show where Hyuk-Yoon Kwon may publish in the future.
Co-authorship network of co-authors of Hyuk-Yoon Kwon
This figure shows the co-authorship network connecting the top 25 collaborators of Hyuk-Yoon Kwon. A scholar is included among the top collaborators of Hyuk-Yoon Kwon 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 Hyuk-Yoon Kwon. Hyuk-Yoon Kwon 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 0 | |
| 14 | 111 | |
| 15 | 87 | |
| 16 | 5 | |
| 17 | 16 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | 1 |
About Hyuk-Yoon Kwon
Hyuk-Yoon Kwon is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 50 papers that have together received 451 indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Advanced Database Systems and Queries (8 papers) and Cloud Computing and Resource Management (6 papers). The work is most often cited by research in Neurology (104 citations), Computer Science Applications (63 citations) and Computer Vision and Pattern Recognition (163 citations). Hyuk-Yoon Kwon has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Amir Hussain, Junaid Rashid, Awais Mehmood, Marriam Nawaz, Momina Masood, Tahira Nazir, Jungeun Kim, Toqeer Mahmood, Muhammad Wasif Nisar and Seung‐Jin Ryu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.