Jinoh Oh
Impact in
- Computational Mathematics top 5%
- Information Systems top 0.5%
- Recommender Systems and Techniques
Papers in
-
- Advanced Graph Neural Networks 7
- Topic Modeling 5
-
- Recommender Systems and Techniques 12
- Co-authors
- Hwanjo Yu (21 shared papers)Yejin Kim (6 shared papers)Chanyoung Park (2 shared papers)Sungyoung Lee (1 shared paper)Chanyoung Park (4 shared papers)Hwanjo Yu (1 shared paper)Byoungyoung Lee (1 shared paper)Jong Kim (1 shared paper)
- Journals
- Information Sciences (10 papers)BMC Bioinformatics (1 paper)ACM Transactions on Knowledge Discovery from Data (1 paper)Knowledge-Based Systems (1 paper)Knowledge and Information Systems (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Jinoh Oh
30 papers receiving 1.1k citations
Jinoh Oh's Hit Papers
Peers
Comparison fields: 5 of 65
- Computational Mathematics 42
- Information Systems 818
- Artificial Intelligence 663
- Computer Vision and Pattern Recognition 326
- Transportation 81
Countries citing papers authored by Jinoh Oh
This map shows the geographic impact of Jinoh 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 Jinoh Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinoh Oh more than expected).
Fields of papers citing papers by Jinoh Oh
This network shows the impact of papers produced by Jinoh 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 Jinoh Oh. The network helps show where Jinoh Oh may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinoh Oh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Convolutional Matrix Factorization for Document Context-Aware Recommendation Hit paper breakdown → | 2016 | 523 |
| 2 | 2011 | 90 | |
| 3 | 2017 | 86 | |
| 4 | 2011 | 60 | |
| 5 | 2016 | 49 | |
| 6 | 2017 | 33 | |
| 7 | 2017 | 31 | |
| 8 | 2015 | 31 | |
| 9 | 2014 | 29 | |
| 10 | 2017 | 27 | |
| 11 | 2017 | 24 | |
| 12 | 2010 | 21 | |
| 13 | 2017 | 19 | |
| 14 | 2009 | 13 | |
| 15 | 2015 | 12 | |
| 16 | 2016 | 12 | |
| 17 | 2013 | 11 | |
| 18 | 2012 | 8 | |
| 19 | 2012 | 8 | |
| 20 | 2009 | 7 |
About Jinoh Oh
Jinoh Oh is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (12 papers), Advanced Graph Neural Networks (7 papers), Topic Modeling (5 papers), Data Management and Algorithms (4 papers), Image Retrieval and Classification Techniques (4 papers), Caching and Content Delivery (4 papers), Biomedical Text Mining and Ontologies (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Computational Mathematics (42 citations), Information Systems (818 citations), Artificial Intelligence (663 citations), Computer Vision and Pattern Recognition (326 citations) and Transportation (81 citations). Jinoh Oh has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Hwanjo Yu, Yejin Kim, Chanyoung Park, Sungyoung Lee, Chanyoung Park, Hwanjo Yu, Byoungyoung Lee, Jong Kim, Wook-Shin Han and Sungchul Kim. Their work appears in journals such as Information Sciences, BMC Bioinformatics, ACM Transactions on Knowledge Discovery from Data, Knowledge-Based Systems and Knowledge and Information Systems.
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.