Etsuko Ishii

5.1k citations
19 papers · 2.4k · 2 hit papers · h-index 7

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Topic Modeling
    • Natural Language Processing Techniques
    • AI in Service Interactions
    • Explainable Artificial Intelligence (XAI)
    • Machine Learning in Healthcare

Papers in

Etsuko Ishii

14 papers receiving 2.3k citations

Etsuko Ishii's Hit Papers

Towards Mitigating LLM Hallucination via Self Reflection 2023 · 144 citations
1440+1+2Years since publication50010001.5k2.0k

Peers

Etsuko Ishii
Comparison fields: 5 of 137
  • Health Informatics 332
  • Artificial Intelligence 1.2k
  • Computer Science Applications 90
  • Safety Research 123
  • Family Practice 20
Replace Nayeon Lee with:
Nayeon Lee Hong Kong
Rita Frieske Hong Kong
Ziwei Ji Hong Kong
Tiezheng Yu Hong Kong
Andrea Madotto Hong Kong
Shizhu He China
Emily Reif United States
Franck Dernoncourt United States
Tianyu Wu China
Etsuko Ishii relative to Nayeon Lee Hong Kong Nayeon Lee's profile →
Citations per field
00.5×1.5×
Nayeon Lee · 1×
Citations per year

Countries citing papers authored by Etsuko Ishii

Since Specialization
Citations

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

Fields of papers citing papers by Etsuko Ishii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Etsuko Ishii, 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 Etsuko Ishii Line = papers co-authored together Etsuko Ishii links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Survey of Hallucination in Natural Language Generation
Hit paper breakdown →
20222184
2
Towards Mitigating LLM Hallucination via Self Reflection
Hit paper breakdown →
2023144
3 202138
4 202219
5 20219
6 20218
7 20248
8 20227
9 20026
10 20216
11 20204
12 20223
13
ERICA: An Empathetic Android Companion for Covid-19 Quarantine
20212
14
Image Position Prediction in Multimodal Documents
20201
15 20231
16 20220
17 20240
18 20250
19 20250

About Etsuko Ishii

Etsuko Ishii is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Social Psychology, Software and Information Systems, having authored 19 papers that have together received 2.4k indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (9 papers), Speech and dialogue systems (8 papers), Multimodal Machine Learning Applications (4 papers), AI in Service Interactions (3 papers), Social Robot Interaction and HRI (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Software Engineering Research (1 paper). The work is most often cited by research in Health Informatics (332 citations), Artificial Intelligence (1.2k citations), Computer Science Applications (90 citations), Safety Research (123 citations) and Family Practice (20 citations). Etsuko Ishii has collaborated with scholars based in Hong Kong, Canada and Japan. Frequent co-authors include Ziwei Ji, Pascale Fung, Yan Xu, Nayeon Lee, Tiezheng Yu, Andrea Madotto, Dan Su, Rita Frieske, Samuel Cahyawijaya and Yejin Bang. Their work appears in journals such as Journal of Wood Science, ACM Computing Surveys, Language Resources and Evaluation, Communications in computer and information science and arXiv (Cornell University).

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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