Junyi Wu
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
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- TiO2 Photocatalysis and Solar Cells
Papers in
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- Video Surveillance and Tracking Methods 12
- Advanced Neural Network Applications 10
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- TiO2 Photocatalysis and Solar Cells 3
- Co-authors
- Show‐An Chen (4 shared papers)Shari S. C. Shang (2 shared papers)Wei‐Sheng Chen (5 shared papers)Su-Jien Lin (2 shared papers)Cheng‐Han Lee (5 shared papers)Wujie Zhou (3 shared papers)Lu Yu (3 shared papers)Wu‐Chung Chan (1 shared paper)
In The Last Decade
Junyi Wu
78 papers receiving 873 citations
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 166
- Renewable Energy, Sustainability and the Environment 94
- Civil and Structural Engineering 80
- Electrical and Electronic Engineering 175
- Environmental Engineering 35
Countries citing papers authored by Junyi Wu
This map shows the geographic impact of Junyi 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 Junyi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyi Wu more than expected).
Fields of papers citing papers by Junyi Wu
This network shows the impact of papers produced by Junyi 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 Junyi Wu. The network helps show where Junyi Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyi 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
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 61 | |
| 2 | 2019 | 51 | |
| 3 | 2017 | 47 | |
| 4 | 2020 | 44 | |
| 5 | 2023 | 44 | |
| 6 | 2019 | 43 | |
| 7 | 2022 | 33 | |
| 8 | 2001 | 29 | |
| 9 | 2023 | 28 | |
| 10 | 2011 | 27 | |
| 11 | 2022 | 26 | |
| 12 | 2021 | 24 | |
| 13 | 2021 | 23 | |
| 14 | 2019 | 22 | |
| 15 | 2023 | 21 | |
| 16 | 2023 | 18 | |
| 17 | 2009 | 17 | |
| 18 | 2019 | 17 | |
| 19 | 2021 | 17 | |
| 20 | 2022 | 17 |
About Junyi Wu
Junyi Wu is a scholar working on Computer Vision and Pattern Recognition, Renewable Energy, Sustainability and the Environment, Civil and Structural Engineering, Mechanical Engineering and Biomedical Engineering, having authored 89 papers that have together received 893 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (12 papers), Advanced Neural Network Applications (10 papers), Thermochemical Biomass Conversion Processes (3 papers), Advanced Memory and Neural Computing (3 papers), Extraction and Separation Processes (3 papers), Organic Light-Emitting Diodes Research (3 papers), TiO2 Photocatalysis and Solar Cells (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (166 citations), Renewable Energy, Sustainability and the Environment (94 citations), Civil and Structural Engineering (80 citations), Electrical and Electronic Engineering (175 citations) and Environmental Engineering (35 citations). Junyi Wu has collaborated with scholars based in China, Taiwan and Australia. Frequent co-authors include Show‐An Chen, Shari S. C. Shang, Wei‐Sheng Chen, Su-Jien Lin, Cheng‐Han Lee, Wujie Zhou, Lu Yu, Wu‐Chung Chan, Anguo Zhang and Yan Huang. Their work appears in journals such as Sustainability, ACS Applied Materials & Interfaces, Materials, Engineering Structures and IEEE Signal Processing Letters.
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.