Etsuko Ishii

3.5k total citations · 1 hit paper
11 papers, 1.6k citations indexed

About

Etsuko Ishii is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Pharmacology. According to data from OpenAlex, Etsuko Ishii has authored 11 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Pharmacology. Recurrent topics in Etsuko Ishii's work include Natural Language Processing Techniques (7 papers), Topic Modeling (7 papers) and Speech and dialogue systems (4 papers). Etsuko Ishii is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (7 papers) and Speech and dialogue systems (4 papers). Etsuko Ishii collaborates with scholars based in Hong Kong, Canada and Japan. Etsuko Ishii's co-authors include Pascale Fung, Yan Xu, Tiezheng Yu, Ziwei Ji, Nayeon Lee, Andrea Madotto, Rita Frieske, Dan Su, Samuel Cahyawijaya and Bryan Wilie and has published in prestigious journals such as ACM Computing Surveys, Language Resources and Evaluation and Journal of Wood Science.

In The Last Decade

Etsuko Ishii

8 papers receiving 1.5k citations

Hit Papers

Survey of Hallucination in Natural Language Generation 2022 2026 2023 2024 2022 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Etsuko Ishii Hong Kong 5 916 296 185 124 116 11 1.6k
Rita Frieske Hong Kong 2 885 1.0× 291 1.0× 171 0.9× 114 0.9× 117 1.0× 3 1.5k
Nayeon Lee Hong Kong 8 947 1.0× 297 1.0× 192 1.0× 122 1.0× 116 1.0× 16 1.7k
Ziwei Ji Hong Kong 10 1.3k 1.4× 378 1.3× 259 1.4× 170 1.4× 146 1.3× 22 2.1k
Andrea Madotto Hong Kong 17 1.6k 1.8× 293 1.0× 214 1.2× 280 2.3× 117 1.0× 42 2.4k
Tiezheng Yu Hong Kong 11 1.4k 1.5× 382 1.3× 277 1.5× 204 1.6× 150 1.3× 19 2.2k
Shizhu He China 13 1.4k 1.5× 245 0.8× 262 1.4× 170 1.4× 79 0.7× 39 1.9k
Franck Dernoncourt United States 20 951 1.0× 225 0.8× 102 0.6× 183 1.5× 99 0.9× 102 1.4k
Matthew Hutson Canada 15 393 0.4× 249 0.8× 78 0.4× 44 0.4× 123 1.1× 77 1.1k
Przemysław Kazienko Poland 23 791 0.9× 134 0.5× 439 2.4× 196 1.6× 64 0.6× 117 2.1k

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-authorship network of co-authors of Etsuko Ishii

This figure shows the co-authorship network connecting the top 25 collaborators of Etsuko Ishii. A scholar is included among the top collaborators of Etsuko Ishii 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 Etsuko Ishii. Etsuko Ishii is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Chen, Delong, et al.. (2025). What Makes for Good Image Captions?. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1420–1437.
2.
Ji, Ziwei, Delong Chen, Etsuko Ishii, et al.. (2024). LLM Internal States Reveal Hallucination Risk Faced With a Query. 88–104. 4 indexed citations
3.
Ji, Ziwei, Tiezheng Yu, Yan Xu, et al.. (2023). Towards Mitigating LLM Hallucination via Self Reflection. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1827–1843. 89 indexed citations
4.
Ishii, Etsuko, Bryan Wilie, Ziwei Ji, et al.. (2023). Contrastive Learning for Inference in Dialogue. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 10202–10221. 1 indexed citations
5.
Ji, Ziwei, Nayeon Lee, Rita Frieske, et al.. (2022). Survey of Hallucination in Natural Language Generation. ACM Computing Surveys. 55(12). 1–38. 1469 indexed citations breakdown →
6.
Ji, Ziwei, Samuel Cahyawijaya, Etsuko Ishii, et al.. (2022). VScript: Controllable Script Generation with Visual Presentation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–8.
7.
Ishii, Etsuko, Bryan Wilie, Yan Xu, Samuel Cahyawijaya, & Pascale Fung. (2022). Integrating Question Rewrites in Conversational Question Answering: A Reinforcement Learning Approach. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 55–66. 2 indexed citations
8.
Ishii, Etsuko, Yan Xu, Samuel Cahyawijaya, & Bryan Wilie. (2022). Can Question Rewriting Help Conversational Question Answering?. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 94–99. 4 indexed citations
9.
Xu, Yan, Etsuko Ishii, Genta Indra Winata, et al.. (2021). CAiRE in DialDoc21: Data Augmentation for Information Seeking Dialogue System. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 46–51. 7 indexed citations
10.
Ishii, Etsuko, et al.. (2020). Image Position Prediction in Multimodal Documents. Language Resources and Evaluation. 4265–4274. 1 indexed citations
11.
Meguro, Sadatoshi, et al.. (2002). Cultivation of shiitake in sugi wood meal II: effects of seasoning treatment for wood meal on mycelial growth. Journal of Wood Science. 48(6). 516–520. 6 indexed citations

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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