Shoko Wakamiya

1.4k total citations
83 papers, 761 citations indexed

About

Shoko Wakamiya is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology. According to data from OpenAlex, Shoko Wakamiya has authored 83 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 18 papers in Molecular Biology and 17 papers in Epidemiology. Recurrent topics in Shoko Wakamiya's work include Topic Modeling (18 papers), Biomedical Text Mining and Ontologies (18 papers) and Natural Language Processing Techniques (15 papers). Shoko Wakamiya is often cited by papers focused on Topic Modeling (18 papers), Biomedical Text Mining and Ontologies (18 papers) and Natural Language Processing Techniques (15 papers). Shoko Wakamiya collaborates with scholars based in Japan, South Korea and United States. Shoko Wakamiya's co-authors include Eiji Aramaki, Kazutoshi Sumiya, Ryong Lee, Yukiko Kawai, Shuntaro Yada, Adam Jatowt, Panote Siriaraya, Yuta Nakamura, Yihong Zhang and Yuanyuan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Shoko Wakamiya

74 papers receiving 737 citations

Peers

Shoko Wakamiya
Comparison fields: 5 of 113
  • Transportation 226
  • Artificial Intelligence 213
  • Epidemiology 127
  • Sociology and Political Science 111
  • Geography, Planning and Development 100
Replace Carmela Comito with:
Carmela Comito Italy
Yukiko Kawai Japan
Neil O’Hare Ireland
Junghoon Chae United States
Robert Power Australia
Slava Kisilevich Germany
Geoffrey Barbier United States
Jon Sperling United States
André Panisson Italy
Blake Shaw United States
Carmela Comito Italy View profile →
Citations per field, relative to Shoko Wakamiya
Shoko Wakamiya · 1×
Citations per year, relative to Shoko Wakamiya
Shoko Wakamiya · 1×

Countries citing papers authored by Shoko Wakamiya

Since Specialization
Citations

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

Fields of papers citing papers by Shoko Wakamiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoko Wakamiya

This figure shows the co-authorship network connecting the top 25 collaborators of Shoko Wakamiya. A scholar is included among the top collaborators of Shoko Wakamiya 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 Shoko Wakamiya. Shoko Wakamiya 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 0
2 0
3 1
4 0
5 1
6 3
7 6
8 2
9 0
10 4
11 3
12 2
13
A Preliminary Analysis of Offensive Language Transferability from Social Media to Video Live Streaming
1
14 2
15 27
16
J-Medic: A Japanese disease name dictionary based on real clinical usage
8
17
Loneliness in a connected world: Analyzing online activity and expressions on real life relationships of lonely users
1
18
Detecting Japanese Patients with Alzheimer’s Disease based on Word Category Frequencies
14
19
Extraction of Naming Concepts based on modifiers in recipe titles
6
20
Extraction of Concepts based on Relations of Modifies in Recipe Titles
1

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

Rankless by CCL
2026