Junyi Wu
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
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- Advanced Photocatalysis Techniques
- TiO2 Photocatalysis and Solar Cells
Papers in ⓘ
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- Video Surveillance and Tracking Methods 15
- Advanced Neural Network Applications 7
- Human Pose and Action Recognition 7
- Co-authors
- Show‐An Chen (5 shared papers)Su‐Jien Lin (2 shared papers)Shari S. C. Shang (2 shared papers)Wei‐Sheng Chen (5 shared papers)Wu‐Chung Chan (1 shared paper)Wujie Zhou (3 shared papers)Lu Yu (3 shared papers)Cheng‐Han Lee (5 shared papers)
In The Last Decade
Junyi Wu
73 papers receiving 758 citations
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 151
- Renewable Energy, Sustainability and the Environment 92
- Automotive Engineering 49
- Materials Chemistry 181
- Industrial and Manufacturing Engineering 36
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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 61 | |
| 2 | 2017 | 47 | |
| 3 | 2019 | 46 | |
| 4 | 2019 | 37 | |
| 5 | 2020 | 35 | |
| 6 | 2023 | 29 | |
| 7 | 2001 | 29 | |
| 8 | 2022 | 26 | |
| 9 | 2023 | 25 | |
| 10 | 2011 | 24 | |
| 11 | 2022 | 24 | |
| 12 | 2021 | 23 | |
| 13 | 2021 | 20 | |
| 14 | 2018 | 18 | |
| 15 | 2019 | 17 | |
| 16 | 2009 | 17 | |
| 17 | 2008 | 16 | |
| 18 | 2019 | 16 | |
| 19 | 2021 | 15 | |
| 20 | 2023 | 14 |
About Junyi Wu
Junyi Wu is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Renewable Energy, Sustainability and the Environment, Industrial and Manufacturing Engineering and Geochemistry and Petrology, having authored 84 papers that have together received 783 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (15 papers), Advanced Neural Network Applications (7 papers), Human Pose and Action Recognition (7 papers), Advanced Photocatalysis Techniques (5 papers), Organic Light-Emitting Diodes Research (5 papers), Organic Electronics and Photovoltaics (5 papers), Robotics and Sensor-Based Localization (4 papers) and Thermochemical Biomass Conversion Processes (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (151 citations), Renewable Energy, Sustainability and the Environment (92 citations), Automotive Engineering (49 citations), Materials Chemistry (181 citations) and Industrial and Manufacturing Engineering (36 citations). Junyi Wu has collaborated with scholars based in China, Taiwan and Australia. Frequent co-authors include Show‐An Chen, Su‐Jien Lin, Shari S. C. Shang, Wei‐Sheng Chen, Wu‐Chung Chan, Wujie Zhou, Lu Yu, Cheng‐Han Lee, Kuen‐Wei Tsai and Liqin Huang. Their work appears in journals such as Sustainability, ACS Applied Materials & Interfaces, Materials, Neurocomputing and Engineering Structures.
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.