Kengo Miyo

463 total citations
27 papers, 193 citations indexed

About

Kengo Miyo is a scholar working on Artificial Intelligence, Molecular Biology and General Health Professions. According to data from OpenAlex, Kengo Miyo has authored 27 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Molecular Biology and 6 papers in General Health Professions. Recurrent topics in Kengo Miyo's work include Biomedical Text Mining and Ontologies (6 papers), COVID-19 and Mental Health (6 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Kengo Miyo is often cited by papers focused on Biomedical Text Mining and Ontologies (6 papers), COVID-19 and Mental Health (6 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Kengo Miyo collaborates with scholars based in Japan, United States and United Kingdom. Kengo Miyo's co-authors include Kazuhiko Ohe, Eiji Aramaki, Takeshi Imai, Norio Ohmagari, Maki Konishi, Shohei Yamamoto, Tetsuya Mizoue, Akihito Tanaka, Wataru Sugiura and Haruhito Sugiyama and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Medical Imaging and Vaccine.

In The Last Decade

Kengo Miyo

25 papers receiving 184 citations

Peers

Kengo Miyo
Comparison fields: 5 of 63
  • Infectious Diseases 53
  • Artificial Intelligence 36
  • Clinical Psychology 31
  • General Health Professions 30
  • Epidemiology 26
Replace Zachary H. Strasser with:
Zachary H. Strasser United States
Sandy Joung United States
Tal El‐Hay Israel
Vimal Gupta India
Rumana Rahman United Kingdom
Habeeb Ibrahim Abdul Razack Saudi Arabia
Dana S. Al‐Mousa Australia
Qasim Mehmood Pakistan
Conor K. Corbin United States
Zachary H. Strasser United States View profile →
Citations per field, relative to Kengo Miyo
Kengo Miyo · 1×
Citations per year, relative to Kengo Miyo
Kengo Miyo · 1×

Countries citing papers authored by Kengo Miyo

Since Specialization
Citations

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

Fields of papers citing papers by Kengo Miyo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kengo Miyo

This figure shows the co-authorship network connecting the top 25 collaborators of Kengo Miyo. A scholar is included among the top collaborators of Kengo Miyo 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 Kengo Miyo. Kengo Miyo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 13
4 0
5 2
6 39
7 1
8 17
9 10
10 4
11 1
12 26
13 9
14 4
15 1
16
Orthographic Disambiguation Incorporating Transliterated Probability.
16
17
Support vector machine based orthographic disambiguation.
4
18
Development of case-based medication alerting and recommender system: a new approach to prevention for medication error.
7
19
Statistical selector of the best multiple ICD-coding method.
2
20
Toward Medical Ontology using Natural Language Processing.
2

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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