Yuting Lü
Impact in
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- Advanced Neural Network Applications
- Signal Processing top 10%
- Biometric Identification and Security
Papers in
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- Electric Motor Design and Analysis 6
- Gas Sensing Nanomaterials and Sensors 6
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- Advanced Neural Network Applications 7
- Co-authors
- Gaocai Wang (8 shared papers)Xiaohong Zhang (8 shared papers)Kun Wang (8 shared papers)Yanlin Huang (11 shared papers)Shuqiang Huang (2 shared papers)Hyo Jin Seo (10 shared papers)Wenxiong Kang (2 shared papers)Sheng Huang (6 shared papers)
- Journals
- IEEE Transactions on Power Electronics (4 papers)Biomedical Signal Processing and Control (3 papers)Applied Surface Science (2 papers)Pattern Recognition (2 papers)Materials Letters (2 papers)
- Partner nations
- ChinaSouth KoreaCanada
In The Last Decade
Yuting Lü
74 papers receiving 972 citations
Peers
Comparison fields: 5 of 139
- Computer Vision and Pattern Recognition 182
- Signal Processing 81
- Renewable Energy, Sustainability and the Environment 98
- Water Science and Technology 77
- Biomedical Engineering 203
Countries citing papers authored by Yuting Lü
This map shows the geographic impact of Yuting Lü'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 Yuting Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Lü more than expected).
Fields of papers citing papers by Yuting Lü
This network shows the impact of papers produced by Yuting Lü. 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 Yuting Lü. The network helps show where Yuting Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuting Lü, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 126 | |
| 2 | 2022 | 89 | |
| 3 | 2018 | 82 | |
| 4 | 2018 | 55 | |
| 5 | 2022 | 50 | |
| 6 | 2015 | 38 | |
| 7 | 2015 | 35 | |
| 8 | 2022 | 27 | |
| 9 | 2018 | 26 | |
| 10 | 2017 | 25 | |
| 11 | 2018 | 25 | |
| 12 | 2017 | 21 | |
| 13 | 2022 | 21 | |
| 14 | 2022 | 18 | |
| 15 | 2015 | 18 | |
| 16 | 2024 | 17 | |
| 17 | 2015 | 16 | |
| 18 | 2018 | 16 | |
| 19 | 2020 | 13 | |
| 20 | 2020 | 13 |
About Yuting Lü
Yuting Lü is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Renewable Energy, Sustainability and the Environment, Materials Chemistry and Artificial Intelligence, having authored 87 papers that have together received 996 indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (12 papers), Advanced Neural Network Applications (7 papers), Luminescence Properties of Advanced Materials (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Electric Motor Design and Analysis (6 papers), Gas Sensing Nanomaterials and Sensors (6 papers), COVID-19 diagnosis using AI (4 papers) and Transition Metal Oxide Nanomaterials (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (182 citations), Signal Processing (81 citations), Renewable Energy, Sustainability and the Environment (98 citations), Water Science and Technology (77 citations) and Biomedical Engineering (203 citations). Yuting Lü has collaborated with scholars based in China, South Korea and Canada. Frequent co-authors include Gaocai Wang, Xiaohong Zhang, Kun Wang, Yanlin Huang, Shuqiang Huang, Hyo Jin Seo, Wenxiong Kang, Sheng Huang, Yongquan Zhou and Zhonghua Huang. Their work appears in journals such as IEEE Transactions on Power Electronics, Biomedical Signal Processing and Control, Applied Surface Science, Pattern Recognition and Materials 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.