Heekyong Park
- Health Information Management top 10%
- Molecular Biology
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Co-authors
- Jinwook ChoiJonghoon ChunSungjoo YooShawn N. MurphySooyoung YooMartin P. PaulusVivian S. GainerBhaswati Ghosh
- Topics
- Biomedical Text Mining and Ontologies (5 papers)Electronic Health Records Systems (5 papers)Semantic Web and Ontologies (5 papers)
- Journals
- Psychological MedicineJournal of the American Medical Informatics AssociationInternational Journal of Medical Informatics
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Heekyong Park
14 papers receiving 117 citations
Peers
Comparison fields: 5 of 74
- Health Information Management 26
- Molecular Biology 25
- Artificial Intelligence 22
- Computer Vision and Pattern Recognition 18
- Computer Networks and Communications 15
Countries citing papers authored by Heekyong Park
This map shows the geographic impact of Heekyong Park'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 Heekyong Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heekyong Park more than expected).
Fields of papers citing papers by Heekyong Park
This network shows the impact of papers produced by Heekyong Park. 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 Heekyong Park. The network helps show where Heekyong Park may publish in the future.
Co-authorship network of co-authors of Heekyong Park
This figure shows the co-authorship network connecting the top 25 collaborators of Heekyong Park. A scholar is included among the top collaborators of Heekyong Park based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Heekyong Park. Heekyong Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 2 | |
| 3 | 33 | |
| 4 | 6 | |
| 5 | 11 | |
| 6 | Extracting Distinctive Features of Swine (H1N1) Flu through Data Mining Clinical Documents | 1 |
| 7 | Towards chronological summary of medical records. | 1 |
| 8 | 36 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | Realization of real-time clinical data integration using advanced database technology. | 9 |
| 13 | Design and Implementation of HL7 based Real-Time Clinical Data Integration System | 1 |
| 14 | Optimizing query response with XML user profile in mobile clinical systems. | 1 |
About Heekyong Park
Heekyong Park is a scholar working on Health Information Management, Toxicology and Artificial Intelligence, having authored 14 papers that have together received 125 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (5 papers), Electronic Health Records Systems (5 papers) and Semantic Web and Ontologies (5 papers). The work is most often cited by research in Health Information Management (26 citations), Biological Psychiatry (3 citations) and Family Practice (2 citations). Heekyong Park has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Jinwook Choi, Jonghoon Chun, Sungjoo Yoo, Shawn N. Murphy, Sooyoung Yoo, Martin P. Paulus, Vivian S. Gainer, Bhaswati Ghosh, David Wang and Víctor M. Castro. Their work appears in journals such as Psychological Medicine, Journal of the American Medical Informatics Association and International Journal of Medical Informatics.
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.