Sungrim Moon

2.0k total citations · 1 hit paper
48 papers, 1.2k citations indexed

About

Sungrim Moon is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Sungrim Moon has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 21 papers in Molecular Biology and 12 papers in Health Information Management. Recurrent topics in Sungrim Moon's work include Biomedical Text Mining and Ontologies (21 papers), Topic Modeling (11 papers) and Machine Learning in Healthcare (10 papers). Sungrim Moon is often cited by papers focused on Biomedical Text Mining and Ontologies (21 papers), Topic Modeling (11 papers) and Machine Learning in Healthcare (10 papers). Sungrim Moon collaborates with scholars based in United States, South Korea and China. Sungrim Moon's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Sungrim Moon

45 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Clinical information extraction applications: A literature review

2017 514 citations Yanshan Wang, Liwei Wang et al. Journal of Biomedical Informatics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sungrim Moon United States	17	755	532	215	155	92	48	1.2k
Stephen Wu United States	20	781 1.0×	612 1.2×	153 0.7×	88 0.6×	82 0.9×	49	1.3k
Kavishwar B. Wagholikar United States	20	596 0.8×	461 0.9×	283 1.3×	96 0.6×	110 1.2×	62	1.3k
Siddhartha Jonnalagadda United States	22	868 1.1×	644 1.2×	164 0.8×	118 0.8×	58 0.6×	51	1.5k
Imre Solti United States	20	734 1.0×	676 1.3×	224 1.0×	86 0.6×	58 0.6×	35	1.4k
Sunyang Fu United States	18	521 0.7×	259 0.5×	139 0.6×	233 1.5×	115 1.3×	86	1.1k
Xi Yang United States	19	760 1.0×	294 0.6×	160 0.7×	338 2.2×	169 1.8×	59	1.6k
Feichen Shen United States	21	1.2k 1.6×	965 1.8×	280 1.3×	148 1.0×	125 1.4×	67	2.0k
Anthony Nguyen Australia	20	693 0.9×	600 1.1×	206 1.0×	75 0.5×	80 0.9×	111	1.3k
Hercules Dalianis Sweden	23	1.3k 1.8×	796 1.5×	287 1.3×	93 0.6×	105 1.1×	124	1.8k
Saeed Mehrabi United States	9	517 0.7×	337 0.6×	129 0.6×	93 0.6×	90 1.0×	15	796

Countries citing papers authored by Sungrim Moon

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Fu, Sunyang, Maria Vassilaki, Vipina K. Keloth, et al.. (2024). FedFSA: Hybrid and federated framework for functional status ascertainment across institutions. Journal of Biomedical Informatics. 152. 104623–104623. 4 indexed citations

Pongdee, Thanai, Nicholas B. Larson, Rohit Divekar, et al.. (2023). Automated Identification of Aspirin-Exacerbated Respiratory Disease Using Natural Language Processing and Machine Learning: Algorithm Development and Evaluation Study. SHILAP Revista de lepidopterología. 2. e44191–e44191. 2 indexed citations

Wang, Liwei, Huan He, Andrew Wen, et al.. (2023). Acquisition of a Lexicon for Family History Information: Bidirectional Encoder Representations From Transformers–Assisted Sublanguage Analysis. JMIR Medical Informatics. 11. e48072–e48072. 1 indexed citations

Moon, Sungrim, et al.. (2023). Extractive Clinical Question-Answering With Multianswer and Multifocus Questions: Data Set Development and Evaluation Study. SHILAP Revista de lepidopterología. 2. e41818–e41818. 1 indexed citations

Pongdee, Thanai, Sheila M. Manemann, Paul A. Decker, et al.. (2022). Rethinking blood eosinophil counts: Epidemiology, associated chronic diseases, and increased risks of cardiovascular disease. Journal of Allergy and Clinical Immunology Global. 1(4). 233–240. 16 indexed citations

Zong, Nansu, Andrew Wen, Sungrim Moon, et al.. (2022). Computational drug repurposing based on electronic health records: a scoping review. npj Digital Medicine. 5(1). 77–77. 30 indexed citations

Wang, Liwei, Sunyang Fu, Andrew Wen, et al.. (2022). Assessment of Electronic Health Record for Cancer Research and Patient Care Through a Scoping Review of Cancer Natural Language Processing. JCO Clinical Cancer Informatics. 6(6). e2200006–e2200006. 24 indexed citations

Sohn, Sunghwan, et al.. (2022). A scoping review of medical practice variation research within the informatics literature. International Journal of Medical Informatics. 165. 104833–104833. 2 indexed citations

Moon, Sungrim, Huan He, & Hongfang Liu. (2022). Sublanguage Characteristics of Clinical Documents. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 3280–3286. 1 indexed citations

10.

Moon, Sungrim, Luke Carlson, Carin Y. Smith, et al.. (2022). Identifying Information Gaps in Electronic Health Records by Using Natural Language Processing: Gynecologic Surgery History Identification. Journal of Medical Internet Research. 24(1). e29015–e29015. 8 indexed citations

11.

Seol, Hee Yun, Pragya Shrestha, Chung‐Il Wi, et al.. (2021). Artificial intelligence-assisted clinical decision support for childhood asthma management: A randomized clinical trial. PLoS ONE. 16(8). e0255261–e0255261. 46 indexed citations

12.

Manemann, Sheila M., Jennifer L. St. Sauver, Hongfang Liu, et al.. (2021). Longitudinal cohorts for harnessing the electronic health record for disease prediction in a US population. BMJ Open. 11(6). e044353–e044353. 19 indexed citations

13.

Juhn, Young J., Chung‐Il Wi, Sunghwan Sohn, et al.. (2020). Asthma-Guidance and Prediction System (a-GPS) As a Precision Asthma Care Tool. Journal of Allergy and Clinical Immunology. 145(2). AB210–AB210. 1 indexed citations

14.

Liu, Sijia, Sunyang Fu, Sungrim Moon, Andrew Wen, & Hongfang Liu. (2020). Predicting Section Location of Clinical Sentences using BERT Encoder - A Pilot Study.. AMIA. 2 indexed citations

15.

Wen, Andrew, Sunyang Fu, Sungrim Moon, et al.. (2019). Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation. npj Digital Medicine. 2(1). 130–130. 82 indexed citations

16.

Moon, Sungrim, Sijia Liu, Christopher G. Scott, et al.. (2019). Automated extraction of sudden cardiac death risk factors in hypertrophic cardiomyopathy patients by natural language processing. International Journal of Medical Informatics. 128. 32–38. 20 indexed citations

17.

Moon, Sungrim, Sijia Liu, David Chen, et al.. (2019). Salience of Medical Concepts of Inside Clinical Texts and Outside Medical Records for Referred Cardiovascular Patients. PubMed. 3(2). 200–219. 7 indexed citations

18.

Wang, Liwei, Majid Rastegar-Mojarad, Zhi‐Liang Ji, et al.. (2018). Detecting Pharmacovigilance Signals Combining Electronic Medical Records With Spontaneous Reports: A Case Study of Conventional Disease-Modifying Antirheumatic Drugs for Rheumatoid Arthritis. Frontiers in Pharmacology. 9. 875–875. 20 indexed citations

19.

Wu, Yonghui, Buzhou Tang, Min Jiang, et al.. (2013). Clinical Acronym/Abbreviation Normalization using a Hybrid Approach.. CLEF (Working Notes). 1179. 14 indexed citations

20.

Melton, Genevieve B., Sungrim Moon, Bridget T. McInnes, & Serguei Pakhomov. (2010). Automated Identification of Synonyms in Biomedical Acronym Sense Inventories. North American Chapter of the Association for Computational Linguistics. 46–52. 6 indexed citations

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.

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