Sungrim Moon
- Artificial Intelligence top 2%
- Molecular Biology
- Health Information Management top 0.5%
- Health Informatics top 0.5%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Hongfang LiuSijia LiuSunghwan SohnLiwei WangYanshan WangFeichen ShenNaveed AfzalMajid Rastegar-Mojarad
- Topics
- Biomedical Text Mining and Ontologies (21 papers)Topic Modeling (11 papers)Machine Learning in Healthcare (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyPLoS ONE
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Sungrim Moon
45 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 755
- Molecular Biology 532
- Health Information Management 215
- Health Informatics 155
- Radiology, Nuclear Medicine and Imaging 92
Countries citing papers authored by Sungrim Moon
This map shows the geographic impact of Sungrim Moon'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 Sungrim Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungrim Moon more than expected).
Fields of papers citing papers by Sungrim Moon
This network shows the impact of papers produced by Sungrim Moon. 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 Sungrim Moon. The network helps show where Sungrim Moon may publish in the future.
Co-authorship network of co-authors of Sungrim Moon
This figure shows the co-authorship network connecting the top 25 collaborators of Sungrim Moon. A scholar is included among the top collaborators of Sungrim Moon 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 Sungrim Moon. Sungrim Moon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 16 | |
| 6 | 30 | |
| 7 | 24 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 46 | |
| 12 | 19 | |
| 13 | 1 | |
| 14 | Predicting Section Location of Clinical Sentences using BERT Encoder - A Pilot Study. | 2 |
| 15 | 82 | |
| 16 | 20 | |
| 17 | 7 | |
| 18 | 20 | |
| 19 | Clinical Acronym/Abbreviation Normalization using a Hybrid Approach. | 14 |
| 20 | Automated Identification of Synonyms in Biomedical Acronym Sense Inventories | 6 |
About Sungrim Moon
Sungrim Moon is a scholar working on Health Information Management, Health Informatics and Artificial Intelligence, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (21 papers), Topic Modeling (11 papers) and Machine Learning in Healthcare (10 papers). The work is most often cited by research in Health Informatics (155 citations), Health Information Management (215 citations) and Artificial Intelligence (755 citations). Sungrim Moon has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Hongfang Liu, Sijia Liu, Sunghwan Sohn, Liwei Wang, Yanshan Wang, Feichen Shen, Naveed Afzal, Majid Rastegar-Mojarad, Yuqun Zeng and Saeed Mehrabi. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.
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.