Junhee Seok
Impact in
- Marketing top 5%
- Environmental Sustainability in Business
- Consumer Behavior in Brand Consumption and Identification
- Health Informatics top 10%
Papers in ⓘ
-
- Anomaly Detection Techniques and Applications 6
- Co-authors
- Taewoo Roh (2 shared papers)Yaeri Kim (2 shared papers)Minhyeok Lee (20 shared papers)Wenzhong Xiao (10 shared papers)Ronald W. Davis (8 shared papers)Michael Mindrinos (4 shared papers)Aejaz Sayeed (2 shared papers)William H. Goodson (2 shared papers)
- Journals
- Scientific Reports (8 papers)PLoS ONE (7 papers)Bioinformatics (4 papers)Frontiers in Immunology (2 papers)Machine Learning Science and Technology (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Junhee Seok
79 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Marketing 264
- Health Informatics 13
- Information Systems and Management 60
- Management, Monitoring, Policy and Law 99
- Transplantation 22
Countries citing papers authored by Junhee Seok
This map shows the geographic impact of Junhee Seok'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 Junhee Seok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhee Seok more than expected).
Fields of papers citing papers by Junhee Seok
This network shows the impact of papers produced by Junhee Seok. 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 Junhee Seok. The network helps show where Junhee Seok may publish in the future.
Co-authors
The 25 scholars most cited alongside Junhee Seok, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Unveiling ways to reach organic purchase: Green perceived value, perceived knowledge, attitude, subjective norm, and trust Hit paper breakdown → | 2022 | 299 |
| 2 | 2008 | 96 | |
| 3 | 2013 | 74 | |
| 4 | 2019 | 54 | |
| 5 | 2009 | 35 | |
| 6 | 2018 | 35 | |
| 7 | 2020 | 34 | |
| 8 | 2019 | 32 | |
| 9 | 2024 | 29 | |
| 10 | 2020 | 26 | |
| 11 | 2020 | 23 | |
| 12 | 2022 | 21 | |
| 13 | 2023 | 19 | |
| 14 | 2019 | 18 | |
| 15 | 2009 | 17 | |
| 16 | 2012 | 17 | |
| 17 | 2022 | 15 | |
| 18 | 2016 | 15 | |
| 19 | 2023 | 14 | |
| 20 | 2021 | 13 |
About Junhee Seok
Junhee Seok is a scholar working on Transplantation, Artificial Intelligence, Computer Vision and Pattern Recognition, Health Informatics and Information Systems and Management, having authored 87 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gene expression and cancer classification (15 papers), Bioinformatics and Genomic Networks (8 papers), Generative Adversarial Networks and Image Synthesis (8 papers), Digital Marketing and Social Media (6 papers), Gene Regulatory Network Analysis (6 papers), Anomaly Detection Techniques and Applications (6 papers), Molecular Biology Techniques and Applications (6 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Marketing (264 citations), Health Informatics (13 citations), Information Systems and Management (60 citations), Management, Monitoring, Policy and Law (99 citations) and Transplantation (22 citations). Junhee Seok has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Taewoo Roh, Yaeri Kim, Minhyeok Lee, Wenzhong Xiao, Ronald W. Davis, Michael Mindrinos, Aejaz Sayeed, William H. Goodson, Stacey Champion and Shanaz H. Dairkee. Their work appears in journals such as Scientific Reports, PLoS ONE, Bioinformatics, Frontiers in Immunology and Machine Learning Science and Technology.
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.