Son Doan

1.7k citations
34 papers · 1.0k indexed · h-index 13

Impact in

Papers in

    • Topic Modeling 13
    • Advanced Text Analysis Techniques 9
    • Text and Document Classification Technologies 7
    • Semantic Web and Ontologies 6
    • Natural Language Processing Techniques 4
    • Biomedical Text Mining and Ontologies 20

Son Doan

33 papers receiving 974 citations

Peers

Son Doan
Comparison fields: 5 of 127
  • Health Information Management 127
  • Toxicology 93
  • Artificial Intelligence 484
  • Health Informatics 18
  • Issues, ethics and legal aspects 9
Replace Eiji Aramaki with:
Eiji Aramaki Japan
Jingcheng Du United States
Bethany Percha United States
Stuart J. Nelson United States
Vojtech Huser United States
Shuying Shen United States
Juan M. Banda United States
Hercules Dalianis Sweden
Todd Lingren United States
Marie‐Christine Jaulent France
Son Doan relative to Eiji Aramaki Japan Eiji Aramaki's profile →
Citations per field
00.5×4.5×
Eiji Aramaki · 1×
Citations per year

Countries citing papers authored by Son Doan

Since Specialization
Citations

This map shows the geographic impact of Son Doan'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 Son Doan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Son Doan more than expected).

Fields of papers citing papers by Son Doan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Son Doan. 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 Son Doan. The network helps show where Son Doan may publish in the future.

Co-authors

The 25 scholars most cited alongside Son Doan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Son Doan Line = papers co-authored together Son Doan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010389
2 2008170
3 201555
4 201052
5 200943
6 201942
7 201639
8 201235
9
Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine.
201029
10
Ensembles of NLP Tools for Data Element Extraction from Clinical Notes.
201619
11 201617
12
An ontology-driven system for detecting global health events
201015
13 201313
14 200912
15 200510
16
An automated approach to calculating the daily dose of tacrolimus in electronic health records.
201010
17 20099
18 20127
19 20136
20 20196

About Son Doan

Son Doan is a scholar working on Artificial Intelligence, Molecular Biology, Epidemiology, Communication and Health Information Management, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (20 papers), Topic Modeling (13 papers), Advanced Text Analysis Techniques (9 papers), Text and Document Classification Technologies (7 papers), Data-Driven Disease Surveillance (7 papers), Semantic Web and Ontologies (6 papers), Natural Language Processing Techniques (4 papers) and Electronic Health Records Systems (3 papers). The work is most often cited by research in Health Information Management (127 citations), Toxicology (93 citations), Artificial Intelligence (484 citations), Health Informatics (18 citations) and Issues, ethics and legal aspects (9 citations). Son Doan has collaborated with scholars based in United States, Japan and Vietnam. Frequent co-authors include Joshua C. Denny, K. Brandon Johnson, Hanzhang Xu, Lemuel R. Waitman, Shane P. Stenner, Nigel Collier, Mike Conway, Hua Xu, Ai Kawazoe and Hung Q. Ngo. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, Bioinformatics, BMC Medical Informatics and Decision Making and Academic Emergency Medicine.

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.

Explore authors with similar magnitude of impact