Kiyoshi Yasuda

920 citations
50 papers · 482 indexed · h-index 12
Topics
Dementia and Cognitive Impairment Research (9 papers)AI in Service Interactions (9 papers)Context-Aware Activity Recognition Systems (8 papers)

In The Last Decade

Kiyoshi Yasuda

44 papers receiving 462 citations

Peers

Kiyoshi Yasuda
Comparison fields: 5 of 84
  • Cognitive Neuroscience 146
  • Psychiatry and Mental health 145
  • Developmental and Educational Psychology 95
  • Artificial Intelligence 92
  • Demography 89
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Citations per field
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Citations per year

Countries citing papers authored by Kiyoshi Yasuda

Since Specialization
Citations

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

Fields of papers citing papers by Kiyoshi Yasuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiyoshi Yasuda

This figure shows the co-authorship network connecting the top 25 collaborators of Kiyoshi Yasuda. A scholar is included among the top collaborators of Kiyoshi Yasuda 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 Kiyoshi Yasuda. Kiyoshi Yasuda 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
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 1
6 2
7
Empirical Evaluation of Mind Monitoring Service for Elderly People at Home Using LINE Chatbot
2
8
Implementing and Evaluating feedback function of Mind Monitoring Service for Elderly People at Home
0
9
Rule-Based Talking Service to Elderly at Home for Efficient Mind Sensing
0
10
Proposal of Memory Aid Service Using Mind Sensing by Virtual Agent
1
11
Evaluation Experiments of Memory-Aid Agent Interaction System for Dementia Elderly
1
12
Development of an Agent System for Conversing with Individuals with Dementia
5
13 16
14 60
15 2
16 2
17 43
18 11
19 11
20 37

About Kiyoshi Yasuda

Kiyoshi Yasuda is a scholar working on Anatomy, Psychiatry and Mental health and Health Information Management, having authored 50 papers that have together received 482 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (9 papers), AI in Service Interactions (9 papers) and Context-Aware Activity Recognition Systems (8 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (23 citations), Psychiatry and Mental health (145 citations) and Applied Psychology (39 citations). Kiyoshi Yasuda has collaborated with scholars based in Japan, United States and Myanmar. Frequent co-authors include Tetsuo Nakamura, Kazuhiro Kuwabara, Noriaki Kuwahara, Shinji Abe, Masahide Nakamura, Sachio Saiki, Nobuji Tetsutani, Osamu Watanabe, Yukiko Nakano and Osamu Watanabe. Their work appears in journals such as Sensors, Brain and Language and Cortex.

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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