Minseo Kang

553 total citations · 1 hit paper
10 papers, 352 citations indexed

About

Minseo Kang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Minseo Kang has authored 10 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Minseo Kang's work include Graph Theory and Algorithms (4 papers), Cloud Computing and Resource Management (4 papers) and Complex Network Analysis Techniques (3 papers). Minseo Kang is often cited by papers focused on Graph Theory and Algorithms (4 papers), Cloud Computing and Resource Management (4 papers) and Complex Network Analysis Techniques (3 papers). Minseo Kang collaborates with scholars based in South Korea and United States. Minseo Kang's co-authors include Jae-Gil Lee, Jae-Gil Lee, Jinwoo Lee, Byunghan Lee, Hyun Gook Kang, YongChul Kwon, Sungsu Lim and Jungeun Kim and has published in prestigious journals such as IEEE Access, Data & Knowledge Engineering and The Journal of Supercomputing.

In The Last Decade

Minseo Kang

10 papers receiving 338 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Geospatial Big Data: Challenges and Opportunities

2015 275 citations Jae-Gil Lee, Minseo Kang Big Data Research profile →

Peers

Minseo Kang

SP

CNC

AI

GPD

IS

Marco Adelfio United States

Venkata M. V. Gunturi India

Gaihua Fu United Kingdom

Stefano Modafferi Italy

Pragya Agarwal India

Bertrand De Longueville Italy

James M. Kang United States

Cláudio de Souza Baptista Brazil

Slava Kisilevich Germany

Marco Adelfio United States

Minseo Kang

155 ×1.7

SP

56 ×0.6

CNC

74 ×1.0

AI

155 ×2.3

GPD

102 ×1.6

IS

Citations per year, relative to Minseo Kang Minseo Kang (= 1×) peers Marco Adelfio

Countries citing papers authored by Minseo Kang

Since Specialization

Citations

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

Fields of papers citing papers by Minseo Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minseo Kang

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Kang, Minseo & Byunghan Lee. (2023). TiCTok: Time-Series Anomaly Detection With Contrastive Tokenization. IEEE Access. 11. 81011–81020. 3 indexed citations

2.

Kang, Minseo & Jae-Gil Lee. (2020). Effect of garbage collection in iterative algorithms on Spark: an experimental analysis. The Journal of Supercomputing. 76(9). 7204–7218. 5 indexed citations

3.

Kang, Hyun Gook, Minseo Kang, & Jae-Gil Lee. (2017). Efficient fall detection based on event pattern matching in image streams. 51–58. 2 indexed citations

4.

Kang, Minseo & Jae-Gil Lee. (2017). An experimental analysis of limitations of MapReduce for iterative algorithms on Spark. Cluster Computing. 20(4). 3593–3604. 4 indexed citations

5.

Kang, Minseo, et al.. (2016). An Experimental Comparison of Iterative MapReduce Frameworks. 2089–2094. 7 indexed citations

6.

Kang, Minseo & Jae-Gil Lee. (2016). A comparative analysis of iterative MapReduce systems. 61–64. 3 indexed citations

7.

Kim, Jungeun, Minseo Kang, Sungsu Lim, & Jae-Gil Lee. (2015). Triangle counting in networks using a multi-level branching technique. 47–50. 1 indexed citations

8.

Lee, Jae-Gil & Minseo Kang. (2015). Geospatial Big Data: Challenges and Opportunities. Big Data Research. 2(2). 74–81. 275 indexed citations breakdown →

9.

Lee, Jae-Gil, et al.. (2015). Parallel community detection on large graphs with MapReduce and GraphChi. Data & Knowledge Engineering. 104. 17–31. 29 indexed citations

10.

Lee, Jae-Gil, et al.. (2014). Scalable community detection from networks by computing edge betweenness on MapReduce. 145–148. 23 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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