Chenhui Chu
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Domain Adaptation and Few-Shot Learning
- Text Readability and Simplification
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
Papers in
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- Natural Language Processing Techniques 68
- Topic Modeling 68
- Speech Recognition and Synthesis 21
- Domain Adaptation and Few-Shot Learning 7
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- Multimodal Machine Learning Applications 29
- Advanced Image and Video Retrieval Techniques 7
- Co-authors
- Sadao Kurohashi (43 shared papers)Raj Dabre (14 shared papers)Yuta Nakashima (18 shared papers)Mayu Otani (13 shared papers)Toshiaki Nakazawa (16 shared papers)Noa García (11 shared papers)Rui Wang (1 shared paper)Tomoyuki Kajiwara (8 shared papers)
In The Last Decade
Chenhui Chu
94 papers receiving 909 citations
Chenhui Chu's Hit Papers
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 726
- Computer Vision and Pattern Recognition 384
- Health Informatics 7
- Signal Processing 59
- Experimental and Cognitive Psychology 40
Countries citing papers authored by Chenhui Chu
This map shows the geographic impact of Chenhui Chu'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 Chenhui Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenhui Chu more than expected).
Fields of papers citing papers by Chenhui Chu
This network shows the impact of papers produced by Chenhui Chu. 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 Chenhui Chu. The network helps show where Chenhui Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenhui Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 123 | |
| 2 | MM-LLMs: Recent Advances in MultiModal Large Language Models Hit paper breakdown → | 2024 | 111 |
| 3 | 2020 | 62 | |
| 4 | A Survey of Domain Adaptation for Neural Machine Translation | 2018 | 52 |
| 5 | 2020 | 50 | |
| 6 | 2020 | 37 | |
| 7 | 2021 | 35 | |
| 8 | 2019 | 30 | |
| 9 | 2024 | 23 | |
| 10 | 2022 | 20 | |
| 11 | 2022 | 19 | |
| 12 | 2021 | 17 | |
| 13 | 2021 | 17 | |
| 14 | 2013 | 16 | |
| 15 | Exploiting shared Chinese characters in Chinese word segmentation optimization for Chinese-Japanese Machine Translation | 2012 | 16 |
| 16 | 2021 | 15 | |
| 17 | 2012 | 14 | |
| 18 | 2020 | 13 | |
| 19 | 2020 | 13 | |
| 20 | 2020 | 12 |
About Chenhui Chu
Chenhui Chu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Signal Processing and Experimental and Cognitive Psychology, having authored 105 papers that have together received 964 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (68 papers), Topic Modeling (68 papers), Multimodal Machine Learning Applications (29 papers), Speech Recognition and Synthesis (21 papers), Biomedical Text Mining and Ontologies (10 papers), Speech and Audio Processing (8 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). The work is most often cited by research in Artificial Intelligence (726 citations), Computer Vision and Pattern Recognition (384 citations), Health Informatics (7 citations), Signal Processing (59 citations) and Experimental and Cognitive Psychology (40 citations). Chenhui Chu has collaborated with scholars based in Japan, China and France. Frequent co-authors include Sadao Kurohashi, Raj Dabre, Yuta Nakashima, Mayu Otani, Toshiaki Nakazawa, Noa García, Rui Wang, Tomoyuki Kajiwara, Jiahua Dong and Haruo Takemura. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Language Resources and Evaluation, Neurocomputing, IEEE Transactions on Affective Computing and Applied Network Science.
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.