Sinan Li
Impact in
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- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- Medical Laboratory Technology top 10%
Papers in
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- Machine Fault Diagnosis Techniques 3
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- Imbalanced Data Classification Techniques 3
- Co-authors
- Ruqiang Yan (4 shared papers)Tianfu Li (4 shared papers)Chuang Sun (4 shared papers)Zheng Zhou (1 shared paper)Xuefeng Chen (1 shared paper)Xuefeng Chen (3 shared papers)Zhiying Wang (1 shared paper)Yan Yan (1 shared paper)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (2 papers)steel research international (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)Journal of Manufacturing Systems (1 paper)Journal of Sustainable Metallurgy (1 paper)
- Partner nations
- ChinaNigeriaSwitzerland
In The Last Decade
Sinan Li
9 papers receiving 678 citations
Sinan Li's Hit Papers
Peers
Comparison fields: 5 of 78
- Control and Systems Engineering 458
- Medical Laboratory Technology 13
- Mechanics of Materials 138
- Artificial Intelligence 178
- Safety, Risk, Reliability and Quality 44
Countries citing papers authored by Sinan Li
This map shows the geographic impact of Sinan Li'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 Sinan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sinan Li more than expected).
Fields of papers citing papers by Sinan Li
This network shows the impact of papers produced by Sinan Li. 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 Sinan Li. The network helps show where Sinan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Sinan Li, 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 | The emerging graph neural networks for intelligent fault diagnostics and prognostics: A guideline and a benchmark study Hit paper breakdown → | 2021 | 445 |
| 2 | 2022 | 77 | |
| 3 | 2023 | 64 | |
| 4 | 2023 | 58 | |
| 5 | 2020 | 24 | |
| 6 | 2023 | 11 | |
| 7 | 2021 | 4 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 |
About Sinan Li
Sinan Li is a scholar working on Control and Systems Engineering, Artificial Intelligence, Molecular Biology, Mechanical Engineering and Urban Studies, having authored 9 papers that have together received 685 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (3 papers), Machine Fault Diagnosis Techniques (3 papers), Machine Learning in Bioinformatics (2 papers), Iron and Steelmaking Processes (2 papers), Metallurgical Processes and Thermodynamics (2 papers), Mineral Processing and Grinding (1 paper), Neuroscience and Neural Engineering (1 paper) and Transcranial Magnetic Stimulation Studies (1 paper). The work is most often cited by research in Control and Systems Engineering (458 citations), Medical Laboratory Technology (13 citations), Mechanics of Materials (138 citations), Artificial Intelligence (178 citations) and Safety, Risk, Reliability and Quality (44 citations). Sinan Li has collaborated with scholars based in China, Nigeria and Switzerland. Frequent co-authors include Ruqiang Yan, Tianfu Li, Chuang Sun, Zheng Zhou, Xuefeng Chen, Xuefeng Chen, Zhiying Wang, Yan Yan, Abhishek Kandwal and Olatunji Mumini Omisore. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, steel research international, Frontiers in Bioengineering and Biotechnology, Journal of Manufacturing Systems and Journal of Sustainable Metallurgy.
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.