Hyojin Bahng

537 total citations
2 papers, 83 citations indexed

About

Hyojin Bahng is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Hyojin Bahng has authored 2 papers receiving a total of 83 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Vision and Pattern Recognition, 1 paper in Signal Processing and 1 paper in Artificial Intelligence. Recurrent topics in Hyojin Bahng's work include Traffic Prediction and Management Techniques (1 paper), Machine Learning and Algorithms (1 paper) and Machine Learning and Data Classification (1 paper). Hyojin Bahng is often cited by papers focused on Traffic Prediction and Management Techniques (1 paper), Machine Learning and Algorithms (1 paper) and Machine Learning and Data Classification (1 paper). Hyojin Bahng collaborates with scholars based in South Korea. Hyojin Bahng's co-authors include Jaegul Choo, Sangdoo Yun, Seong Joon Oh, Sanghyuk Chun, Kihwan Kim, Sungahn Ko and Seungmin Jin and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Hyojin Bahng

2 papers receiving 80 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hyojin Bahng South Korea	2	49	36	21	17	13	2	83
Łukasz Romaszko United Kingdom	4	25 0.5×	17 0.5×	8 0.4×	3 0.2×	5 0.4×	8	64
Fan Feng China	8	35 0.7×	113 3.1×	6 0.3×	5 0.3×	4 0.3×	15	146
Huaxia Xia China	4	18 0.4×	45 1.3×	9 0.4×	3 0.2×	8 0.6×	5	75
Zhaocheng Du China	6	54 1.1×	35 1.0×	3 0.1×	6 0.4×	10 0.8×	23	114
Skand Vishwanath Peri India	5	118 2.4×	162 4.5×	6 0.3×	25 1.5×	3 0.2×	7	183
Ayzaan Wahid United States	4	40 0.8×	43 1.2×	3 0.1×	2 0.1×	31 2.4×	5	83
Jiawei Zhou China	6	46 0.9×	24 0.7×	5 0.2×	2 0.1×	6 0.5×	22	85
Shachi Paul United States	4	112 2.3×	21 0.6×	10 0.5×	4 0.2×	2 0.2×	4	126
Noé Casas Spain	5	46 0.9×	19 0.5×	3 0.1×	2 0.1×	4 0.3×	16	66
Manoj Acharya United States	5	38 0.8×	35 1.0×	29 1.4×		2 0.2×	6	115

Countries citing papers authored by Hyojin Bahng

Since Specialization

Citations

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

Fields of papers citing papers by Hyojin Bahng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyojin Bahng

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

All Works

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2 of 2 papers shown

1.

Bahng, Hyojin, et al.. (2019). STGRAT: A Spatio-Temporal Graph Attention Network for Traffic Forecasting.. arXiv (Cornell University). 27 indexed citations

2.

Bahng, Hyojin, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, & Seong Joon Oh. (2019). Learning De-biased Representations with Biased Representations. arXiv (Cornell University). 1. 528–539. 56 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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