Limin Yu
Impact in
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- Advanced Neural Network Applications
- Image and Signal Denoising Methods
- Artificial Intelligence top 10%
- AI in cancer detection
Papers in
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- Video Surveillance and Tracking Methods 7
- Advanced Neural Network Applications 6
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- AI in cancer detection 8
- Co-authors
- Fei Ma (25 shared papers)Miguel López‐Benítez (9 shared papers)Eng Gee Lim (10 shared papers)Tongpo Zhang (7 shared papers)Tiantian Guo (4 shared papers)L.B. White (7 shared papers)Yangbing Li (8 shared papers)Yutao Yue (7 shared papers)
- Journals
- Ecological Indicators (4 papers)Journal of Cutaneous Pathology (3 papers)IEEE Access (3 papers)Petroleum Exploration and Development (2 papers)Pattern Recognition (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Limin Yu
91 papers receiving 1.1k citations
Limin Yu's Hit Papers
Peers
Comparison fields: 5 of 153
- Computer Vision and Pattern Recognition 178
- Artificial Intelligence 150
- Media Technology 40
- Signal Processing 47
- Global and Planetary Change 91
Countries citing papers authored by Limin Yu
This map shows the geographic impact of Limin Yu'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 Limin Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Limin Yu more than expected).
Fields of papers citing papers by Limin Yu
This network shows the impact of papers produced by Limin Yu. 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 Limin Yu. The network helps show where Limin Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Limin Yu, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Review of Wavelet Analysis and Its Applications: Challenges and Opportunities Hit paper breakdown → | 2022 | 255 |
| 2 | 2022 | 84 | |
| 3 | 2017 | 37 | |
| 4 | 2022 | 30 | |
| 5 | 2020 | 29 | |
| 6 | 2018 | 28 | |
| 7 | 2023 | 28 | |
| 8 | 2009 | 26 | |
| 9 | 2008 | 26 | |
| 10 | 2011 | 25 | |
| 11 | 2020 | 24 | |
| 12 | 2018 | 24 | |
| 13 | 2015 | 23 | |
| 14 | 2006 | 19 | |
| 15 | 2014 | 19 | |
| 16 | 2011 | 18 | |
| 17 | 2015 | 17 | |
| 18 | 2020 | 17 | |
| 19 | 2009 | 17 | |
| 20 | 2009 | 17 |
About Limin Yu
Limin Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Aerospace Engineering and Electrical and Electronic Engineering, having authored 102 papers that have together received 1.2k indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Land Use and Ecosystem Services (7 papers), Video Surveillance and Tracking Methods (7 papers), Underwater Acoustics Research (7 papers), Advanced Neural Network Applications (6 papers), Non-Invasive Vital Sign Monitoring (6 papers), Remote Sensing and Land Use (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (178 citations), Artificial Intelligence (150 citations), Media Technology (40 citations), Signal Processing (47 citations) and Global and Planetary Change (91 citations). Limin Yu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Fei Ma, Miguel López‐Benítez, Eng Gee Lim, Tongpo Zhang, Tiantian Guo, L.B. White, Yangbing Li, Yutao Yue, Linglei Ma and Lulu Liu. Their work appears in journals such as Ecological Indicators, Journal of Cutaneous Pathology, IEEE Access, Petroleum Exploration and Development and Pattern Recognition.
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.