Manxi Lin
Impact in
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- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- Mechanics of Materials top 10%
- Engineering Diagnostics and Reliability
Papers in
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- Fetal and Pediatric Neurological Disorders 2
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- Machine Fault Diagnosis Techniques 2
- Co-authors
- Jun Wu (2 shared papers)Yiwei Cheng (2 shared papers)Haiping Zhu (1 shared paper)Xinyu Shao (1 shared paper)Yaqiong Lv (1 shared paper)Anders Nymark Christensen (4 shared papers)Zahra Bashir (3 shared papers)Martin G. Tolsgaard (4 shared papers)
In The Last Decade
Manxi Lin
6 papers receiving 283 citations
Manxi Lin's Hit Papers
Peers
Comparison fields: 5 of 51
- Control and Systems Engineering 233
- Mechanics of Materials 99
- Mechanical Engineering 136
- Health Informatics 3
- Radiological and Ultrasound Technology 10
Countries citing papers authored by Manxi Lin
This map shows the geographic impact of Manxi Lin'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 Manxi Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manxi Lin more than expected).
Fields of papers citing papers by Manxi Lin
This network shows the impact of papers produced by Manxi Lin. 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 Manxi Lin. The network helps show where Manxi Lin may publish in the future.
Co-authors
The 16 scholars most cited alongside Manxi Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network Hit paper breakdown → | 2021 | 267 |
| 2 | 2022 | 11 | |
| 3 | 2025 | 4 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2025 | 0 |
About Manxi Lin
Manxi Lin is a scholar working on Pediatrics, Perinatology and Child Health, Control and Systems Engineering, Computer Vision and Pattern Recognition, Mechanics of Materials and Health Informatics, having authored 7 papers that have together received 288 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (2 papers), Fetal and Pediatric Neurological Disorders (2 papers), Machine Fault Diagnosis Techniques (2 papers), Gear and Bearing Dynamics Analysis (2 papers), Engineering Diagnostics and Reliability (2 papers), Autopsy Techniques and Outcomes (1 paper), Advanced Image and Video Retrieval Techniques (1 paper) and Video Analysis and Summarization (1 paper). The work is most often cited by research in Control and Systems Engineering (233 citations), Mechanics of Materials (99 citations), Mechanical Engineering (136 citations), Health Informatics (3 citations) and Radiological and Ultrasound Technology (10 citations). Manxi Lin has collaborated with scholars based in Denmark, China and Hong Kong. Frequent co-authors include Jun Wu, Yiwei Cheng, Haiping Zhu, Xinyu Shao, Yaqiong Lv, Anders Nymark Christensen, Zahra Bashir, Martin G. Tolsgaard, Mads Nielsen and Aasa Feragen. Their work appears in journals such as npj Digital Medicine, Quality Engineering, American Journal of Obstetrics and Gynecology, IEEE Transactions on Medical Imaging and Knowledge-Based Systems.
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.