Wu Chen
Impact in
- Computational Mechanics top 10%
- Cyclone Separators and Fluid Dynamics
- Granular flow and fluidized beds
- Sparse and Compressive Sensing Techniques
Papers in
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- Logic, Reasoning, and Knowledge 3
- Multi-Agent Systems and Negotiation 3
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- Sparse and Compressive Sensing Techniques 3
- Cyclone Separators and Fluid Dynamics 2
- Co-authors
- Andrzej F. Nowakowski (1 shared paper)T. Dyakowski (1 shared paper)Zhi Wang (4 shared papers)Jianjun Wang (2 shared papers)Chao Gao (1 shared paper)Yu Liu (1 shared paper)Xin Luo (1 shared paper)Dezhong Peng (1 shared paper)
- Journals
- International Journal of Machine Learning and Cybernetics (1 paper)IEEE Geoscience and Remote Sensing Letters (1 paper)Knowledge-Based Systems (1 paper)Environmental Science and Pollution Research (1 paper)IEEE Transactions on Multimedia (1 paper)
- Partner nations
- ChinaNew ZealandAustralia
In The Last Decade
Wu Chen
21 papers receiving 228 citations
Peers
Comparison fields: 5 of 65
- Computational Mechanics 106
- Computational Mathematics 2
- Media Technology 20
- Computer Vision and Pattern Recognition 39
- Mechanical Engineering 59
Countries citing papers authored by Wu Chen
This map shows the geographic impact of Wu Chen'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 Wu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Chen more than expected).
Fields of papers citing papers by Wu Chen
This network shows the impact of papers produced by Wu Chen. 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 Wu Chen. The network helps show where Wu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Wu Chen, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 58 | |
| 2 | 2014 | 51 | |
| 3 | 2006 | 42 | |
| 4 | 2021 | 22 | |
| 5 | Study on Pollen Transportation by Rivers | 1995 | 12 |
| 6 | 2021 | 10 | |
| 7 | 2023 | 8 | |
| 8 | 2019 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2009 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2019 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2017 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2022 | 1 |
About Wu Chen
Wu Chen is a scholar working on Artificial Intelligence, Computational Mechanics, Computer Vision and Pattern Recognition, Information Systems and Mechanical Engineering, having authored 25 papers that have together received 237 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (3 papers), Multi-Agent Systems and Negotiation (3 papers), Sparse and Compressive Sensing Techniques (3 papers), Cyclone Separators and Fluid Dynamics (2 papers), Software Engineering Research (2 papers), Medical Image Segmentation Techniques (2 papers), Image and Signal Denoising Methods (2 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Computational Mechanics (106 citations), Computational Mathematics (2 citations), Media Technology (20 citations), Computer Vision and Pattern Recognition (39 citations) and Mechanical Engineering (59 citations). Wu Chen has collaborated with scholars based in China, New Zealand and Australia. Frequent co-authors include Andrzej F. Nowakowski, T. Dyakowski, Zhi Wang, Jianjun Wang, Chao Gao, Yu Liu, Xin Luo, Dezhong Peng, Jiamou Liu and Jianping Gou. Their work appears in journals such as International Journal of Machine Learning and Cybernetics, IEEE Geoscience and Remote Sensing Letters, Knowledge-Based Systems, Environmental Science and Pollution Research and IEEE Transactions on Multimedia.
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.