Le Yin
Impact in
- Control and Systems Engineering top 10%
- Fault Detection and Control Systems
- Control Systems and Identification
Papers in
-
- Target Tracking and Data Fusion in Sensor Networks 9
- Neural Networks and Applications 8
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- Fault Detection and Control Systems 10
- Control Systems and Identification 7
- Co-authors
- Y. Neuvo (8 shared papers)Jaakko Astola (5 shared papers)Maojiao Ye (3 shared papers)Shuo Liu (4 shared papers)Weng Khuen Ho (3 shared papers)Keck Voon Ling (3 shared papers)Stefano Schiavon (2 shared papers)Baolei Zhang (3 shared papers)
In The Last Decade
Le Yin
52 papers receiving 475 citations
Peers
Comparison fields: 5 of 89
- Control and Systems Engineering 133
- Radiological and Ultrasound Technology 19
- Signal Processing 42
- Computer Vision and Pattern Recognition 80
- Statistics, Probability and Uncertainty 27
Countries citing papers authored by Le Yin
This map shows the geographic impact of Le Yin'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 Le Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Yin more than expected).
Fields of papers citing papers by Le Yin
This network shows the impact of papers produced by Le Yin. 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 Le Yin. The network helps show where Le Yin may publish in the future.
Co-authors
The 25 scholars most cited alongside Le Yin, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 63 | |
| 2 | 2016 | 33 | |
| 3 | 2021 | 32 | |
| 4 | 2023 | 29 | |
| 5 | 2002 | 27 | |
| 6 | 2020 | 27 | |
| 7 | 2022 | 25 | |
| 8 | 2020 | 20 | |
| 9 | 2018 | 18 | |
| 10 | 2018 | 17 | |
| 11 | 2019 | 16 | |
| 12 | 2018 | 14 | |
| 13 | 2023 | 14 | |
| 14 | 2019 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2025 | 11 | |
| 17 | 2-D Optimal Weighted Median Filters | 1992 | 11 |
| 18 | 2001 | 10 | |
| 19 | 2023 | 8 | |
| 20 | 1991 | 8 |
About Le Yin
Le Yin is a scholar working on Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Building and Construction, having authored 60 papers that have together received 491 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (10 papers), Target Tracking and Data Fusion in Sensor Networks (9 papers), Neural Networks and Applications (8 papers), Control Systems and Identification (7 papers), Advanced Adaptive Filtering Techniques (5 papers), Blind Source Separation Techniques (4 papers), Indoor and Outdoor Localization Technologies (4 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Control and Systems Engineering (133 citations), Radiological and Ultrasound Technology (19 citations), Signal Processing (42 citations), Computer Vision and Pattern Recognition (80 citations) and Statistics, Probability and Uncertainty (27 citations). Le Yin has collaborated with scholars based in China, Singapore and Finland. Frequent co-authors include Y. Neuvo, Jaakko Astola, Maojiao Ye, Shuo Liu, Weng Khuen Ho, Keck Voon Ling, Stefano Schiavon, Baolei Zhang, Yu Shen and Yuanshi Zheng. Their work appears in journals such as Journal of the Franklin Institute, Engineering Applications of Artificial Intelligence, Journal of Plant Ecology, International Journal of Systems Science and RSC Advances.
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.