Etsuko Ishii
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- AI in Service Interactions
- Machine Learning in Healthcare
- Explainable Artificial Intelligence (XAI)
Papers in
-
- Natural Language Processing Techniques 7
- Topic Modeling 7
- Speech and dialogue systems 4
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- Multimodal Machine Learning Applications 3
- Advanced Image and Video Retrieval Techniques 1
- Co-authors
- Yan Xu (4 shared papers)Pascale Fung (9 shared papers)Ziwei Ji (6 shared papers)Nayeon Lee (2 shared papers)Tiezheng Yu (2 shared papers)Andrea Madotto (3 shared papers)Rita Frieske (1 shared paper)Dan Su (1 shared paper)
- Journals
- Language Resources and Evaluation (1 paper)Journal of Wood Science (1 paper)ACM Computing Surveys (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (8 papers)
In The Last Decade
Etsuko Ishii
8 papers receiving 1.7k citations
Etsuko Ishii's Hit Papers
Peers
Comparison fields: 5 of 134
- Health Informatics 280
- Artificial Intelligence 926
- Computer Science Applications 76
- Safety Research 110
- Software 39
Countries citing papers authored by Etsuko Ishii
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
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 21 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Survey of Hallucination in Natural Language Generation Hit paper breakdown → | 2022 | 1690 |
| 2 | Towards Mitigating LLM Hallucination via Self Reflection Hit paper breakdown → | 2023 | 103 |
| 3 | 2021 | 7 | |
| 4 | 2024 | 6 | |
| 5 | 2002 | 6 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 2 | |
| 8 | Image Position Prediction in Multimodal Documents | 2020 | 1 |
| 9 | 2023 | 1 | |
| 10 | 2022 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 |
About Etsuko Ishii
Etsuko Ishii is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Pharmacology, Information Systems and Cognitive Neuroscience, having authored 12 papers that have together received 1.8k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Topic Modeling (7 papers), Speech and dialogue systems (4 papers), Multimodal Machine Learning Applications (3 papers), Hallucinations in medical conditions (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Software Engineering Research (1 paper) and Model-Driven Software Engineering Techniques (1 paper). The work is most often cited by research in Health Informatics (280 citations), Artificial Intelligence (926 citations), Computer Science Applications (76 citations), Safety Research (110 citations) and Software (39 citations). Etsuko Ishii has collaborated with scholars based in Hong Kong, Canada and Japan. Frequent co-authors include Yan Xu, Pascale Fung, Ziwei Ji, Nayeon Lee, Tiezheng Yu, Andrea Madotto, Rita Frieske, Dan Su, Bryan Wilie and Samuel Cahyawijaya. Their work appears in journals such as Language Resources and Evaluation, Journal of Wood Science, ACM Computing Surveys and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.