Jihae Suh
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
-
- Customer churn and segmentation
- Consumer Market Behavior and Pricing
Papers in
-
- Multi-Agent Systems and Negotiation 2
- Explainable Artificial Intelligence (XAI) 1
- Adversarial Robustness in Machine Learning 1
- Co-authors
- Jinsoo Park (10 shared papers)Jae Kyeong Kim (1 shared paper)Wooju Kim (1 shared paper)Jiwoong Choi (1 shared paper)Hanearl Jung (1 shared paper)Tae-Kyung Kim (1 shared paper)Nam‐Won Kim (1 shared paper)
- Journals
- Decision Support Systems (2 papers)Education and Information Technologies (2 papers)Sustainability (1 paper)Electronic Commerce Research and Applications (1 paper)Displays (1 paper)
- Partner nations
- South KoreaUnited StatesMalaysia
In The Last Decade
Jihae Suh
14 papers receiving 260 citations
Peers
Comparison fields: 5 of 71
- Health Informatics 20
- Marketing 40
- Information Systems 95
- Information Systems and Management 28
- Safety Research 26
Countries citing papers authored by Jihae Suh
This map shows the geographic impact of Jihae Suh'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 Jihae Suh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jihae Suh more than expected).
Fields of papers citing papers by Jihae Suh
This network shows the impact of papers produced by Jihae Suh. 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 Jihae Suh. The network helps show where Jihae Suh may publish in the future.
Co-authors
The 7 scholars most cited alongside Jihae Suh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 124 | |
| 2 | 2002 | 90 | |
| 3 | 2019 | 17 | |
| 4 | 2023 | 16 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 4 | |
| 8 | 2017 | 4 | |
| 9 | 2020 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2025 | 2 | |
| 12 | 2019 | 2 | |
| 13 | 2018 | 1 | |
| 14 | 2022 | 1 |
About Jihae Suh
Jihae Suh is a scholar working on Artificial Intelligence, Information Systems, Sociology and Political Science, Information Systems and Management and Political Science and International Relations, having authored 14 papers that have together received 281 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (3 papers), Business Process Modeling and Analysis (2 papers), Multi-Agent Systems and Negotiation (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Open Source Software Innovations (1 paper), Explainable Artificial Intelligence (XAI) (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Virtual Reality Applications and Impacts (1 paper). The work is most often cited by research in Health Informatics (20 citations), Marketing (40 citations), Information Systems (95 citations), Information Systems and Management (28 citations) and Safety Research (26 citations). Jihae Suh has collaborated with scholars based in South Korea, United States and Malaysia. Frequent co-authors include Jinsoo Park, Jae Kyeong Kim, Wooju Kim, Jiwoong Choi, Hanearl Jung, Tae-Kyung Kim and Nam‐Won Kim. Their work appears in journals such as Decision Support Systems, Education and Information Technologies, Sustainability, Electronic Commerce Research and Applications and Displays.
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.