Yuchuan Wu
- Artificial Intelligence top 10%
- Topic Modeling 7
- Natural Language Processing Techniques 6
- Speech and dialogue systems 4
- Sentiment Analysis and Opinion Mining 2
- Advanced Text Analysis Techniques 2
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- Context-Aware Activity Recognition Systems 3
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- Gait Recognition and Analysis 3
- Non-Invasive Vital Sign Monitoring 2
- Cited by
- Artificial IntelligenceExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Journals
- Computer Methods and Programs in Biomedicine (1 paper)Journal of Computer-Aided Molecular Design (1 paper)Transactions of the Association for Computational Linguistics (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yuchuan Wu
19 papers receiving 284 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 171
- Experimental and Cognitive Psychology 55
- Computer Vision and Pattern Recognition 82
- Signal Processing 24
- Physical Therapy, Sports Therapy and Rehabilitation 8
Countries citing papers authored by Yuchuan Wu
This map shows the geographic impact of Yuchuan Wu'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 Yuchuan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuchuan Wu more than expected).
Fields of papers citing papers by Yuchuan Wu
This network shows the impact of papers produced by Yuchuan Wu. 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 Yuchuan Wu. The network helps show where Yuchuan Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuchuan Wu, 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 | 2024 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 15 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 103 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 48 | |
| 13 | 2022 | 11 | |
| 14 | 2019 | 16 | |
| 15 | 2018 | 3 | |
| 16 | 2014 | 5 | |
| 17 | Dawuzu de jingshen shixu: Xiandaixing, bianqian yu shou ku de shehui genyuan 達悟族的精神失序： 現代性、變遷與受苦的社會根源 [Mental Disorder of the Tao Aboriginal Minority in Taiwan: Modernity, Social Change, and the Origin of Social Suffering] by Yu-Yueh Tsai 蔡友月 (review) | 2013 | 1 |
| 18 | 2011 | 42 | |
| 19 | 2011 | 6 | |
| 20 | 2011 | 12 |
About Yuchuan Wu
Yuchuan Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 22 papers that have together received 294 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers), Speech and dialogue systems (4 papers), Context-Aware Activity Recognition Systems (3 papers), Gait Recognition and Analysis (3 papers), Sentiment Analysis and Opinion Mining (2 papers), Advanced Text Analysis Techniques (2 papers) and Non-Invasive Vital Sign Monitoring (2 papers). The work is most often cited by research in Artificial Intelligence (171 citations), Experimental and Cognitive Psychology (55 citations) and Computer Vision and Pattern Recognition (82 citations). Yuchuan Wu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yongbin Li, Ting-En Lin, Yi Zhao, Guangming Lu, Mary She, Ronghua Chen, Jin Wang, Fei Huang, Luo Si and Bin Ning. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Journal of Computer-Aided Molecular Design and Transactions of the Association for Computational Linguistics.
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.