Chen Wu
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Speech Recognition and Synthesis
- Domain Adaptation and Few-Shot Learning
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- Generative Adversarial Networks and Image Synthesis
- Multimodal Machine Learning Applications
Papers in
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- Topic Modeling 9
- Natural Language Processing Techniques 6
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- Multimodal Machine Learning Applications 3
- Face recognition and analysis 2
- Generative Adversarial Networks and Image Synthesis 2
- Co-authors
- Fernando De la Torre (1 shared paper)Xu Sun (1 shared paper)Fuli Luo (1 shared paper)Xuancheng Ren (1 shared paper)Ming Yan (3 shared papers)Chenliang Li (3 shared papers)Bin Bi (3 shared papers)Wei Wang (1 shared paper)
- Journals
- Astronomy and Computing (1 paper)TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES (1 paper)Scientia Sinica Informationis (1 paper)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)CHI Conference on Human Factors in Computing Systems Extended Abstracts (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Chen Wu
15 papers receiving 182 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 123
- Computer Vision and Pattern Recognition 74
- Computer Graphics and Computer-Aided Design 7
- General Social Sciences 6
- Signal Processing 10
Countries citing papers authored by Chen Wu
This map shows the geographic impact of Chen 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 Chen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Wu more than expected).
Fields of papers citing papers by Chen Wu
This network shows the impact of papers produced by Chen 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 Chen Wu. The network helps show where Chen Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen 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 | 2019 | 31 | |
| 2 | 2023 | 30 | |
| 3 | 2019 | 30 | |
| 4 | 2023 | 19 | |
| 5 | 2022 | 18 | |
| 6 | 2017 | 15 | |
| 7 | IDST at TREC 2019 Deep Learning Track: Deep Cascade Ranking with Generation-based Document Expansion and Pre-trained Language Modeling. | 2019 | 14 |
| 8 | 2021 | 9 | |
| 9 | 2021 | 8 | |
| 10 | 2024 | 8 | |
| 11 | 2023 | 3 | |
| 12 | 2021 | 2 | |
| 13 | 2020 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2016 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2022 | 0 | |
| 19 | 2022 | 0 |
About Chen Wu
Chen Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 19 papers that have together received 192 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (6 papers), Multimodal Machine Learning Applications (3 papers), Face recognition and analysis (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Educational Research and Pedagogy (1 paper), Mental Health via Writing (1 paper) and Software Testing and Debugging Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (123 citations), Computer Vision and Pattern Recognition (74 citations), Computer Graphics and Computer-Aided Design (7 citations), General Social Sciences (6 citations) and Signal Processing (10 citations). Chen Wu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Fernando De la Torre, Xu Sun, Fuli Luo, Xuancheng Ren, Ming Yan, Chenliang Li, Bin Bi, Wei Wang, Fernando De la Torre and Minlie Huang. Their work appears in journals such as Astronomy and Computing, TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, Scientia Sinica Informationis, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and CHI Conference on Human Factors in Computing Systems Extended Abstracts.
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.