Shoko Wakamiya
- Transportation top 2%
- Artificial Intelligence top 5%
- Epidemiology
- Sociology and Political Science
- Geography, Planning and Development top 2%
- Co-authors
- Eiji AramakiKazutoshi SumiyaRyong LeeYukiko KawaiShuntaro YadaAdam JatowtPanote SiriarayaYuta Nakamura
- Topics
- Topic Modeling (18 papers)Biomedical Text Mining and Ontologies (18 papers)Natural Language Processing Techniques (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- JapanSouth KoreaUnited States
In The Last Decade
Shoko Wakamiya
74 papers receiving 737 citations
Peers
Comparison fields: 5 of 113
- Transportation 226
- Artificial Intelligence 213
- Epidemiology 127
- Sociology and Political Science 111
- Geography, Planning and Development 100
Countries citing papers authored by Shoko Wakamiya
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
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
| # | 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 |
About Shoko Wakamiya
Shoko Wakamiya is a scholar working on Transportation, Geography, Planning and Development and Health Informatics, having authored 83 papers that have together received 761 indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Biomedical Text Mining and Ontologies (18 papers) and Natural Language Processing Techniques (15 papers). The work is most often cited by research in Transportation (226 citations), Health Informatics (35 citations) and Geography, Planning and Development (100 citations). Shoko Wakamiya has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Eiji Aramaki, Kazutoshi Sumiya, Ryong Lee, Yukiko Kawai, Shuntaro Yada, Adam Jatowt, Panote Siriaraya, Yuta Nakamura, Yihong Zhang and Yuanyuan Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.