Jai E. Jung
Impact in
- Transportation top 5%
- Human Mobility and Location-Based Analysis
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- Complex Network Analysis Techniques
Papers in
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- Web Data Mining and Analysis 4
- Recommender Systems and Techniques 3
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- Video Analysis and Summarization 4
- Data Visualization and Analytics 3
- Image Retrieval and Classification Techniques 3
- Co-authors
- Duc Thang Nguyen (1 shared paper)Francesco Piccialli (3 shared papers)O‐Joun Lee (8 shared papers)David Camacho (3 shared papers)Khac‐Hoai Nam Bui (2 shared papers)Dosam Hwang (2 shared papers)Pasquale De Michele (1 shared paper)Ardelio Galletti (1 shared paper)
- Journals
- Mobile Networks and Applications (7 papers)Future Generation Computer Systems (4 papers)Multimedia Tools and Applications (4 papers)IEEE Access (2 papers)Personal and Ubiquitous Computing (1 paper)
- Partner nations
- South KoreaItalySpain
In The Last Decade
Jai E. Jung
23 papers receiving 547 citations
Peers
Comparison fields: 5 of 85
- Transportation 66
- Statistical and Nonlinear Physics 91
- Information Systems 142
- Computer Vision and Pattern Recognition 128
- Signal Processing 61
Countries citing papers authored by Jai E. Jung
This map shows the geographic impact of Jai E. Jung'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 Jai E. Jung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jai E. Jung more than expected).
Fields of papers citing papers by Jai E. Jung
This network shows the impact of papers produced by Jai E. Jung. 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 Jai E. Jung. The network helps show where Jai E. Jung may publish in the future.
Co-authors
The 18 scholars most cited alongside Jai E. Jung, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 91 | |
| 2 | 2017 | 73 | |
| 3 | 2016 | 52 | |
| 4 | 2017 | 41 | |
| 5 | 2014 | 39 | |
| 6 | 2016 | 37 | |
| 7 | 2016 | 35 | |
| 8 | 2016 | 31 | |
| 9 | 2016 | 28 | |
| 10 | 2017 | 28 | |
| 11 | 2017 | 21 | |
| 12 | 2016 | 16 | |
| 13 | 2016 | 14 | |
| 14 | 2020 | 14 | |
| 15 | 2017 | 13 | |
| 16 | 2018 | 11 | |
| 17 | 2017 | 9 | |
| 18 | 2018 | 3 | |
| 19 | 2016 | 3 | |
| 20 | 2016 | 2 |
About Jai E. Jung
Jai E. Jung is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Sociology and Political Science, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 23 papers that have together received 565 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (6 papers), Web Data Mining and Analysis (4 papers), Video Analysis and Summarization (4 papers), Data Visualization and Analytics (3 papers), Digital Marketing and Social Media (3 papers), Traffic Prediction and Management Techniques (3 papers), Recommender Systems and Techniques (3 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Transportation (66 citations), Statistical and Nonlinear Physics (91 citations), Information Systems (142 citations), Computer Vision and Pattern Recognition (128 citations) and Signal Processing (61 citations). Jai E. Jung has collaborated with scholars based in South Korea, Italy and Spain. Frequent co-authors include Duc Thang Nguyen, Francesco Piccialli, O‐Joun Lee, David Camacho, Khac‐Hoai Nam Bui, Dosam Hwang, Pasquale De Michele, Ardelio Galletti, Salvatore Cuomo and Hoàng Long Nguyễn. Their work appears in journals such as Mobile Networks and Applications, Future Generation Computer Systems, Multimedia Tools and Applications, IEEE Access and Personal and Ubiquitous Computing.
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.