Hyunki Lim

453 total citations
16 papers, 342 citations indexed

About

Hyunki Lim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Hyunki Lim has authored 16 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Hyunki Lim's work include Text and Document Classification Technologies (8 papers), Image Retrieval and Classification Techniques (6 papers) and Face and Expression Recognition (5 papers). Hyunki Lim is often cited by papers focused on Text and Document Classification Technologies (8 papers), Image Retrieval and Classification Techniques (6 papers) and Face and Expression Recognition (5 papers). Hyunki Lim collaborates with scholars based in South Korea. Hyunki Lim's co-authors include Dae‐Won Kim, Jaesung Lee, Heeseung Choi, Ig-Jae Kim, Bo‐Yeong Kang, Taemin Lee and In‐Kwon Lee and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Neurocomputing.

In The Last Decade

Hyunki Lim

16 papers receiving 329 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hyunki Lim South Korea 11 251 167 51 48 48 16 342
Andrés Marzal Spain 9 222 0.9× 166 1.0× 52 1.0× 77 1.6× 70 1.5× 27 437
Kailash Shaw India 9 212 0.8× 61 0.4× 40 0.8× 50 1.0× 76 1.6× 38 391
Eisaku Maeda Japan 15 514 2.0× 265 1.6× 131 2.6× 39 0.8× 56 1.2× 47 742
Qingsheng Ren China 8 220 0.9× 125 0.7× 27 0.5× 23 0.5× 34 0.7× 20 305
Durga Prasad Muni India 5 287 1.1× 65 0.4× 27 0.5× 47 1.0× 21 0.4× 8 387
Lucija Brezočnik Slovenia 4 229 0.9× 55 0.3× 36 0.7× 38 0.8× 22 0.5× 9 358
Priscila M. V. Lima Brazil 10 244 1.0× 80 0.5× 42 0.8× 19 0.4× 20 0.4× 57 378
Junhui Li China 16 642 2.6× 180 1.1× 51 1.0× 38 0.8× 24 0.5× 70 750
Kai Ye China 8 114 0.5× 148 0.9× 42 0.8× 20 0.4× 26 0.5× 23 335
Rex Ying United States 11 282 1.1× 100 0.6× 56 1.1× 45 0.9× 27 0.6× 36 441

Countries citing papers authored by Hyunki Lim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Hyunki Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Hyunki Lim. A scholar is included among the top collaborators of Hyunki Lim 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 Hyunki Lim. Hyunki Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Lim, Hyunki. (2023). Low-rank learning for feature selection in multi-label classification. Pattern Recognition Letters. 172. 106–112. 10 indexed citations
2.
Lim, Hyunki, et al.. (2020). Memetic algorithm for multivariate time-series segmentation. Pattern Recognition Letters. 138. 60–67. 10 indexed citations
3.
Lim, Hyunki & Dae‐Won Kim. (2020). Generalized Term Similarity for Feature Selection in Text Classification Using Quadratic Programming. Entropy. 22(4). 395–395. 4 indexed citations
4.
5.
Lim, Hyunki & Dae‐Won Kim. (2020). Pairwise dependence-based unsupervised feature selection. Pattern Recognition. 111. 107663–107663. 54 indexed citations
6.
Lim, Hyunki & Dae‐Won Kim. (2019). MFC: Initialization method for multi-label feature selection based on conditional mutual information. Neurocomputing. 382. 40–51. 39 indexed citations
7.
Lim, Hyunki, et al.. (2017). Reverse engineering for causal discovery based on monotonic characteristic of causal structure. Pattern Recognition Letters. 95. 91–97. 1 indexed citations
8.
Lim, Hyunki, Jaesung Lee, & Dae‐Won Kim. (2017). Optimization approach for feature selection in multi-label classification. Pattern Recognition Letters. 89. 25–30. 59 indexed citations
9.
Lim, Hyunki, et al.. (2016). Music Genre Classification Using Feature Subset Search. International Journal of Machine Learning and Computing. 6(2). 134–138. 10 indexed citations
10.
Lim, Hyunki, et al.. (2016). Music emotion recognition using chord progressions. 2588–2593. 6 indexed citations
11.
Lim, Hyunki & Dae‐Won Kim. (2016). Convex optimization approach for multi-label feature selection based on mutual information. 75. 1512–1517. 6 indexed citations
12.
Lee, Taemin, et al.. (2016). System for matching paintings with music based on emotions. 1–4. 12 indexed citations
13.
Lim, Hyunki, Jaesung Lee, & Dae‐Won Kim. (2016). Accelerating Multi-Label Feature Selection Based on Low-Rank Approximation. IEICE Transactions on Information and Systems. E99.D(5). 1396–1399. 7 indexed citations
14.
Lim, Hyunki, Jaesung Lee, & Dae‐Won Kim. (2015). Multi-Label Learning Using Mathematical Programming. IEICE Transactions on Information and Systems. E98.D(1). 197–200. 13 indexed citations
15.
Kim, Dae‐Won, et al.. (2014). Efficient dynamic time warping for 3D handwriting recognition using gyroscope equipped smartphones. Expert Systems with Applications. 41(11). 5180–5189. 17 indexed citations
16.
Lee, Jaesung, et al.. (2012). Approximating mutual information for multi-label feature selection. Electronics Letters. 48(15). 929–930. 35 indexed citations

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.

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