Hyo-Jung Oh

557 total citations
59 papers, 324 citations indexed

About

Hyo-Jung Oh is a scholar working on Information Systems, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Hyo-Jung Oh has authored 59 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Information Systems, 16 papers in Artificial Intelligence and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Hyo-Jung Oh's work include Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers) and Technology and Data Analysis (8 papers). Hyo-Jung Oh is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers) and Technology and Data Analysis (8 papers). Hyo-Jung Oh collaborates with scholars based in South Korea and United States. Hyo-Jung Oh's co-authors include Sung Hyon Myaeng, Myung-Gil Jang, Deok‐Kun Oh, Hye Jung Kim, Jae‐Gyu Jeon, Chung-Hee Lee, Changki Lee, Chul Yong Kim, Chan Young Kim and Hyeonjin Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Dental Research and Information Sciences.

In The Last Decade

Hyo-Jung Oh

35 papers receiving 286 citations

Peers

Hyo-Jung Oh
Comparison fields: 5 of 82
  • Artificial Intelligence 171
  • Information Systems 116
  • Endocrinology, Diabetes and Metabolism 36
  • Molecular Biology 25
  • Sociology and Political Science 23
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Citations per field, relative to Hyo-Jung Oh
Hyo-Jung Oh · 1×
Citations per year, relative to Hyo-Jung Oh
Hyo-Jung Oh · 1×

Countries citing papers authored by Hyo-Jung Oh

Since Specialization
Citations

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

Fields of papers citing papers by Hyo-Jung Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyo-Jung Oh. 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 Hyo-Jung Oh. The network helps show where Hyo-Jung Oh may publish in the future.

Co-authorship network of co-authors of Hyo-Jung Oh

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 1
5 1
6 1
7 0
8 2
9 0
10 1
11 1
12 0
13 1
14 0
15 0
16
Technology Trends of Issue Detection and Predictive Analysis on Social Big Data
4
17 1
18
Integrating Attribute-Based Classification for Answer Set Construction
0
19
A Hypertext Categorization Method using Incrementally Computable Class Link Information
2
20
A digital library system for easy creation/manipulation of new documents from existing resources
1

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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