Yuji Roh

1.2k total citations · 1 hit paper
6 papers, 568 citations indexed

About

Yuji Roh is a scholar working on Artificial Intelligence, Management Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yuji Roh has authored 6 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Management Information Systems and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Yuji Roh's work include Machine Learning and Data Classification (3 papers), Privacy-Preserving Technologies in Data (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Yuji Roh is often cited by papers focused on Machine Learning and Data Classification (3 papers), Privacy-Preserving Technologies in Data (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Yuji Roh collaborates with scholars based in South Korea, United States and Canada. Yuji Roh's co-authors include Steven Euijong Whang, Geon Heo, Hyun‐Su Kim, Hwanjun Song, Jae-Gil Lee, Changho Suh, Kangwook Lee, Gyeongwon Yun, Young H. Kim and Young-Jae Min and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering and Proceedings of the VLDB Endowment.

In The Last Decade

Yuji Roh

6 papers receiving 541 citations

Hit Papers

A Survey on Data Collection for Machine Learning: A Big D... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers

Yuji Roh
Comparison fields: 5 of 127
  • Artificial Intelligence 257
  • Computer Vision and Pattern Recognition 76
  • Information Systems 71
  • Computer Networks and Communications 53
  • Electrical and Electronic Engineering 48
Replace Geon Heo with:
Geon Heo South Korea
Martin Bobák Slovakia
Eduardo Soares Brazil
Bin Qian China
Nikica Hlupić Croatia
Nasser Tairan Saudi Arabia
Reza Samavi Canada
Ala Abdulsalam Alarood Saudi Arabia
Masoud Mohammadian Australia
Geon Heo South Korea View profile →
Citations per field, relative to Yuji Roh
Yuji Roh · 1×
Citations per year, relative to Yuji Roh
Yuji Roh · 1×

Countries citing papers authored by Yuji Roh

Since Specialization
Citations

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

Fields of papers citing papers by Yuji Roh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuji Roh

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

All Works

6 of 6 papers shown
# Work Indexed citations
1 8
2 8
3
FR-Train: A mutual information-based approach to fair and robust training
2
4
A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective breakdown →
510
5 38
6 2

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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