Jeong‐ha Oh

9 papers receiving 669 citations

Jeong‐ha Oh's Hit Papers

Social Networks and the Diffusion of User-Generated Content: Evidence from YouTube 2011 · 460 citations
4600+5+10Years since publication100200300400

Peers

Jeong‐ha Oh
Comparison fields: 5 of 94
  • Communication 146
  • Health Information Management 59
  • Marketing 109
  • Statistical and Nonlinear Physics 120
  • Information Systems and Management 63
Replace Shu‐Hsing Li with:
Shu‐Hsing Li Taiwan
Aaron Baird United States
Harpreet Singh United States
Lu Yan United States
Bernard T. Han United States
Yasmin Merali United Kingdom
Ben Johnson United States
Alireza Noruzi Iran
Reima Suomi Finland
Jeong‐ha Oh relative to Shu‐Hsing Li Taiwan Shu‐Hsing Li's profile →
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Countries citing papers authored by Jeong‐ha Oh

Since Specialization
Citations

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

Fields of papers citing papers by Jeong‐ha Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeong‐ha 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 Jeong‐ha Oh. The network helps show where Jeong‐ha Oh may publish in the future.

Co-authors

The 10 scholars most cited alongside Jeong‐ha Oh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jeong‐ha Oh Line = papers co-authored together Jeong‐ha Oh links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Social Networks and the Diffusion of User-Generated Content: Evidence from YouTube
Hit paper breakdown →
2011460
2 2014141
3 201748
4 200820
5 202110
6 201710
7
A Profiling Model for Readmission of Patients with Congestive Heart Failure: A multi-hospital study
20117
8
Follow-Up Survey of Discharged Patients by the Mental Health Review Board
20095
9
Diffusion of User-Generated Content in a Social Network Structure
20085
10 20211
11 20121

About Jeong‐ha Oh

Jeong‐ha Oh is a scholar working on Management Science and Operations Research, Cardiology and Cardiovascular Medicine, Statistical and Nonlinear Physics, General Health Professions and Sociology and Political Science, having authored 11 papers that have together received 708 indexed citations. Recurring topics across this work include Innovation Diffusion and Forecasting (3 papers), Complex Network Analysis Techniques (3 papers), Heart Failure Treatment and Management (2 papers), Digital Marketing and Social Media (2 papers), Opinion Dynamics and Social Influence (2 papers), Fire effects on concrete materials (1 paper), Concrete Corrosion and Durability (1 paper) and Medication Adherence and Compliance (1 paper). The work is most often cited by research in Communication (146 citations), Health Information Management (59 citations), Marketing (109 citations), Statistical and Nonlinear Physics (120 citations) and Information Systems and Management (63 citations). Jeong‐ha Oh has collaborated with scholars based in United States and South Korea. Frequent co-authors include Yong Tan, Anjana Susarla, Indranil R. Bardhan, Zhiqiang Zheng, Kirk Kirksey, Sangmin Shin, Abhay Nath Mishra, Mark Keil, Jin-Pyo Hong and Myung‐Soo Lee. Their work appears in journals such as Information Systems Research, Journal of the Association for Information Systems, International Journal of Concrete Structures and Materials, Production and Operations Management and The Korea Journal of Sport.

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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