Minyoung Kim

536 total citations
9 papers, 359 citations indexed

About

Minyoung Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Minyoung Kim has authored 9 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Minyoung Kim's work include Face and Expression Recognition (5 papers), Time Series Analysis and Forecasting (3 papers) and Neural Networks and Applications (2 papers). Minyoung Kim is often cited by papers focused on Face and Expression Recognition (5 papers), Time Series Analysis and Forecasting (3 papers) and Neural Networks and Applications (2 papers). Minyoung Kim collaborates with scholars based in South Korea, United States and Canada. Minyoung Kim's co-authors include Vladimir Pavlović, Sanjiv Kumar, Henry A. Rowley, Mark Schmidt and Issam Laradji and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Signal Processing Letters and Data Mining and Knowledge Discovery.

In The Last Decade

Minyoung Kim

9 papers receiving 337 citations

Peers

Countries citing papers authored by Minyoung Kim

Since Specialization

Citations

This map shows the geographic impact of Minyoung Kim'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 Minyoung Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minyoung Kim more than expected).

Fields of papers citing papers by Minyoung Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minyoung Kim. 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 Minyoung Kim. The network helps show where Minyoung Kim may publish in the future.

Co-authorship network of co-authors of Minyoung Kim

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

All Works

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9 of 9 papers shown

#	Work	Indexed citations
1	Efficient Deep Gaussian Process Models for Variable-Sized Inputs 2019 ·Issam Laradji, Mark Schmidt, Vladimir Pavlović, Minyoung Kim	3
2	Sparse large-margin nearest neighbor embedding via greedy dyad functional optimization 2019 ·Applied Intelligence ·Minyoung Kim	1
3	Model-induced term-weighting schemes for text classification 2016 ·Applied Intelligence ·(unknown), Minyoung Kim	14
4	Efficient histogram dictionary learning for text/image modeling and classification 2016 ·Data Mining and Knowledge Discovery ·Minyoung Kim	3
5	Conditional Alignment Random Fields for Multiple Motion Sequence Alignment 2013 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Minyoung Kim	2
6	Time-Series Dimensionality Reduction via Granger Causality 2012 ·IEEE Signal Processing Letters ·Minyoung Kim	4
7	Discriminative Learning for Dynamic State Prediction 2009 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Minyoung Kim, Vladimir Pavlović	12
8	Face tracking and recognition with visual constraints in real-world videos 2008 ·Minyoung Kim, Sanjiv Kumar, Vladimir Pavlović, Henry A. Rowley	306
9	Dimensionality reduction using covariance operator inverse regression 2008 ·Minyoung Kim, Vladimir Pavlović	14

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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