Hyunki Lim
Impact in
-
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
- Artificial Intelligence top 5%
- Text and Document Classification Technologies
- Anomaly Detection Techniques and Applications
Papers in
-
- Text and Document Classification Technologies 8
- Neural Networks and Applications 2
- Advanced Text Analysis Techniques 1
-
- Image Retrieval and Classification Techniques 6
- Face and Expression Recognition 5
- Co-authors
- Dae‐Won Kim (12 shared papers)Jaesung Lee (5 shared papers)Ig-Jae Kim (2 shared papers)Heeseung Choi (2 shared papers)Bo‐Yeong Kang (1 shared paper)In‐Kwon Lee (1 shared paper)Taemin Lee (1 shared paper)
- Journals
- Pattern Recognition Letters (4 papers)Pattern Recognition (1 paper)Electronics Letters (1 paper)Expert Systems with Applications (1 paper)Neurocomputing (1 paper)
- Partner nations
- South Korea
In The Last Decade
Hyunki Lim
16 papers receiving 329 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 167
- Artificial Intelligence 251
- Signal Processing 48
- Computational Theory and Mathematics 38
- Information Systems 51
Countries citing papers authored by Hyunki Lim
This map shows the geographic impact of Hyunki Lim'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 Hyunki Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyunki Lim more than expected).
Fields of papers citing papers by Hyunki Lim
This network shows the impact of papers produced by Hyunki Lim. 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 Hyunki Lim. The network helps show where Hyunki Lim may publish in the future.
Co-authors
The 7 scholars most cited alongside Hyunki Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 59 | |
| 2 | 2017 | 59 | |
| 3 | 2020 | 54 | |
| 4 | 2019 | 39 | |
| 5 | 2012 | 35 | |
| 6 | 2014 | 17 | |
| 7 | 2015 | 13 | |
| 8 | 2016 | 12 | |
| 9 | 2016 | 10 | |
| 10 | 2020 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2016 | 7 | |
| 13 | 2016 | 6 | |
| 14 | 2016 | 6 | |
| 15 | 2020 | 4 | |
| 16 | 2017 | 1 |
About Hyunki Lim
Hyunki Lim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Molecular Biology and Information Systems, having authored 16 papers that have together received 342 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (8 papers), Image Retrieval and Classification Techniques (6 papers), Face and Expression Recognition (5 papers), Music and Audio Processing (4 papers), Time Series Analysis and Forecasting (3 papers), Machine Learning in Bioinformatics (2 papers), Neural Networks and Applications (2 papers) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (167 citations), Artificial Intelligence (251 citations), Signal Processing (48 citations), Computational Theory and Mathematics (38 citations) and Information Systems (51 citations). Hyunki Lim has collaborated with scholars based in South Korea. Frequent co-authors include Dae‐Won Kim, Jaesung Lee, Ig-Jae Kim, Heeseung Choi, Bo‐Yeong Kang, In‐Kwon Lee and Taemin Lee. Their work appears in journals such as Pattern Recognition Letters, Pattern Recognition, Electronics Letters, Expert Systems with Applications and Neurocomputing.
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.