Yutu Yang
Impact in
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- Industrial Vision Systems and Defect Detection
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
Papers in
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- Industrial Vision Systems and Defect Detection 10
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- Optical measurement and interference techniques 2
- Advanced Neural Network Applications 2
- Co-authors
- Ying Liu (11 shared papers)Shuang Xi (5 shared papers)Zilong Zhuang (8 shared papers)Honghong Wang (1 shared paper)Dong Jiang (1 shared paper)Shulan Jiang (1 shared paper)Zirong Tang (1 shared paper)Haiyan Zhou (4 shared papers)
In The Last Decade
Yutu Yang
23 papers receiving 293 citations
Peers
Comparison fields: 5 of 62
- Industrial and Manufacturing Engineering 93
- Analytical Chemistry 51
- Geology 20
- Electronic, Optical and Magnetic Materials 58
- Environmental Engineering 39
Countries citing papers authored by Yutu Yang
This map shows the geographic impact of Yutu Yang'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 Yutu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yutu Yang more than expected).
Fields of papers citing papers by Yutu Yang
This network shows the impact of papers produced by Yutu Yang. 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 Yutu Yang. The network helps show where Yutu Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yutu Yang, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 48 | |
| 2 | 2021 | 43 | |
| 3 | 2020 | 41 | |
| 4 | 2020 | 35 | |
| 5 | 2017 | 25 | |
| 6 | 2023 | 21 | |
| 7 | 2022 | 11 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2009 | 2 | |
| 20 | 2018 | 2 |
About Yutu Yang
Yutu Yang is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Environmental Engineering, Plant Science and Media Technology, having authored 24 papers that have together received 298 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (10 papers), Remote Sensing and LiDAR Applications (5 papers), Remote Sensing and Land Use (3 papers), Spectroscopy and Chemometric Analyses (3 papers), Color Science and Applications (2 papers), Optical measurement and interference techniques (2 papers), Wood and Agarwood Research (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (93 citations), Analytical Chemistry (51 citations), Geology (20 citations), Electronic, Optical and Magnetic Materials (58 citations) and Environmental Engineering (39 citations). Yutu Yang has collaborated with scholars based in China and Canada. Frequent co-authors include Ying Liu, Shuang Xi, Zilong Zhuang, Honghong Wang, Dong Jiang, Shulan Jiang, Zirong Tang, Haiyan Zhou, Xiaolin Zhou and Ying Liu. Their work appears in journals such as Forests, Sensors, Measurement, Applied Sciences and Nanoscale Research 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.