Hyeon-Woo Kang

674 total citations
5 papers, 210 citations indexed

About

Hyeon-Woo Kang is a scholar working on Safety, Risk, Reliability and Quality, Sociology and Political Science and Information Systems. According to data from OpenAlex, Hyeon-Woo Kang has authored 5 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Safety, Risk, Reliability and Quality, 1 paper in Sociology and Political Science and 1 paper in Information Systems. Recurrent topics in Hyeon-Woo Kang's work include Cancer-related molecular mechanisms research (1 paper), Fire Detection and Safety Systems (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). Hyeon-Woo Kang is often cited by papers focused on Cancer-related molecular mechanisms research (1 paper), Fire Detection and Safety Systems (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). Hyeon-Woo Kang collaborates with scholars based in South Korea. Hyeon-Woo Kang's co-authors include Hang-Bong Kang, Minjae Kim and Junho Kim and has published in prestigious journals such as PLoS ONE, arXiv (Cornell University) and KIPS Transactions on Software and Data Engineering.

In The Last Decade

Hyeon-Woo Kang

4 papers receiving 196 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hyeon-Woo Kang South Korea	3	87	74	65	24	23	5	210
Tien Huu Belgium	12	43 0.5×	29 0.4×	86 1.3×	11 0.5×	22 1.0×	17	251
Scott M. Freundschuh United States	8	33 0.4×	17 0.2×	38 0.6×	14 0.6×	44 1.9×	14	249
Marcos Oliveira Brazil	9	43 0.5×	11 0.1×	42 0.6×	33 1.4×	125 5.4×	18	243
Michael L. Pack United States	10	13 0.1×	104 1.4×	41 0.6×	87 3.6×	97 4.2×	31	267
Thomas Kapler Finland	8	35 0.4×	316 4.3×	76 1.2×	19 0.8×	65 2.8×	13	402
Shiju Sathyadevan India	7	69 0.8×	32 0.4×	112 1.7×	9 0.4×	3 0.1×	16	225
Yangyang Wu China	8	17 0.2×	39 0.5×	83 1.3×	7 0.3×	23 1.0×	22	193
Chris Cundy United States	5	15 0.2×	27 0.4×	75 1.2×	19 0.8×	23 1.0×	7	183
Jonathan Pfautz United States	9	20 0.2×	52 0.7×	51 0.8×	4 0.2×	2 0.1×	32	219

Countries citing papers authored by Hyeon-Woo Kang

Since Specialization

Citations

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

Fields of papers citing papers by Hyeon-Woo Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyeon-Woo Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Hyeon-Woo Kang. A scholar is included among the top collaborators of Hyeon-Woo 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 Hyeon-Woo Kang. Hyeon-Woo 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:

5 of 5 papers shown

1.

Kim, Junho, et al.. (2020). U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation. arXiv (Cornell University). 47 indexed citations

2.

Kang, Hyeon-Woo, et al.. (2017). Prediction of crime occurrence from multi-modal data using deep learning. PLoS ONE. 12(4). e0176244–e0176244. 159 indexed citations

3.

Kang, Hyeon-Woo & Hang-Bong Kang. (2016). Urban Safety Prediction Using Context and Object Information via Double-Column Convolutional Neural Network. 249. 399–405. 2 indexed citations

4.

Kang, Hyeon-Woo & Hang-Bong Kang. (2016). A Safety Score Prediction Model in Urban Environment Using Convolutional Neural Network. KIPS Transactions on Software and Data Engineering. 5(8). 393–400.

5.

Kang, Hyeon-Woo, et al.. (2015). Smartphone Addiction Detection Based Emotion Detection Result Using Random Forest. Journal of IKEEE. 19(2). 237–243. 2 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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